https://blog.schoergendorfer.com/post/man-made-language-models-evaluating-llms-perpetuation-of-masculine-generics-biasSecFeedde2026-09-01T10:33:00.137657+00:00Man Made Language Models? Evaluating LLMs' Perpetuation of Masculine Generics Biashttps://blog.schoergendorfer.com/post/learning-personalized-prompts-for-healthcare-guidanceSecFeedde2026-09-01T10:33:00.114385+00:00Learning Personalized Prompts for Healthcare Guidancehttps://blog.schoergendorfer.com/post/gender-race-and-intersectional-bias-in-resume-screening-via-language-model-retriSecFeedde2026-09-01T10:33:00.075030+00:00Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrievalhttps://blog.schoergendorfer.com/post/pqmass-probabilistic-assessment-of-the-quality-of-generative-models-using-probabSecFeedde2026-09-01T10:33:00.052654+00:00PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimationhttps://blog.schoergendorfer.com/post/sub-play-adversarial-policies-against-partially-observed-multi-agent-reinforcemeSecFeedde2026-09-01T10:33:00.026330+00:00SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systemshttps://blog.schoergendorfer.com/post/general-phrase-debiaser-debiasing-masked-language-models-at-a-multi-token-levelSecFeedde2026-09-01T10:32:59.989494+00:00General Phrase Debiaser: Debiasing Masked Language Models at a Multi-Token Levelhttps://blog.schoergendorfer.com/post/logos-an-agent-harness-on-a-cross-process-busSecFeedde2026-09-01T10:32:59.942542+00:00Logos: An Agent Harness on a Cross-Process Bushttps://blog.schoergendorfer.com/post/prove2me-an-open-collaborative-platform-for-scaling-math-formalizationSecFeedde2026-09-01T10:32:59.919474+00:00Prove2Me: An Open Collaborative Platform for Scaling Math Formalizationhttps://blog.schoergendorfer.com/post/timing-aware-repurchase-prediction-for-web-scale-e-commerce-survival-models-for-2SecFeedde2026-09-01T10:32:59.893583+00:00Timing-Aware Repurchase Prediction for Web-Scale E-Commerce: Survival Models for Multi-Surface Grocery Recommendationhttps://blog.schoergendorfer.com/post/weagent-mmsearch-native-text-vision-interaction-for-multimodal-search-agentsSecFeedde2026-09-01T10:32:59.865280+00:00WeAgent-MMSearch: Native Text-Vision Interaction for Multimodal Search Agentshttps://blog.schoergendorfer.com/post/rubric-to-code-credit-assignment-for-reinforcement-learningSecFeedde2026-09-01T10:32:59.838888+00:00Rubric-to-Code Credit Assignment for Reinforcement Learninghttps://blog.schoergendorfer.com/post/realswe-a-compositional-evaluation-of-coding-agents-under-realistic-user-request-2SecFeedde2026-09-01T10:32:59.813700+00:00RealSWE: A Compositional Evaluation of Coding Agents under Realistic User Requestshttps://blog.schoergendorfer.com/post/longguard-mechanistic-analysis-and-training-free-mitigation-of-long-context-failSecFeedde2026-09-01T10:32:59.789492+00:00LongGuard: Mechanistic Analysis and Training-Free Mitigation of Long-Context Failure in Safety Guardrailshttps://blog.schoergendorfer.com/post/a-multi-modal-ai-framework-for-real-time-queue-prediction-management-and-optimis-2SecFeedde2026-09-01T10:32:59.767690+00:00A Multi-Modal AI Framework for Real-Time Queue Prediction, Management and Optimisation in Intelligent Border Control Systemshttps://blog.schoergendorfer.com/post/progrouter-online-progress-guided-orchestration-for-multi-agent-llm-workflows-unSecFeedde2026-09-01T10:32:59.726019+00:00ProgRouter: Online Progress-Guided Orchestration for Multi-Agent LLM Workflows under Quality-Cost Tradeoffshttps://blog.schoergendorfer.com/post/candidate-supply-and-answer-selection-shape-the-value-of-llm-judging-in-multi-agSecFeedde2026-09-01T10:32:59.704825+00:00Candidate supply and answer selection shape the value of LLM judging in multi-agent systemshttps://blog.schoergendorfer.com/post/repair-or-resample-rethinking-failure-debugging-in-llm-multi-agent-systemsSecFeedde2026-09-01T10:32:59.682949+00:00Repair or Resample? Rethinking Failure Debugging in LLM Multi-Agent Systemshttps://blog.schoergendorfer.com/post/towards-reliable-generalizable-and-specific-in-context-knowledge-editing-via-mul-2SecFeedde2026-09-01T10:17:59.828831+00:00Towards Reliable, Generalizable, and Specific In-Context Knowledge Editing via Multi-Objective Reinforcement Learninghttps://blog.schoergendorfer.com/post/post-graph-rag-a-postgresql-native-bi-temporal-graph-rag-engine-with-temporal-grSecFeedde2026-09-01T10:17:59.804588+00:00post-graph-rag: A PostgreSQL-Native Bi-Temporal Graph RAG Engine with Temporal Grounding at Synthesishttps://blog.schoergendorfer.com/post/simguide-typed-multi-context-user-representations-for-preference-conditioned-ageSecFeedde2026-09-01T10:17:59.776255+00:00SimGuide: Typed Multi-Context User Representations for Preference-Conditioned Agent Planninghttps://blog.schoergendorfer.com/post/when-seeing-is-not-enough-benchmarking-interactive-visual-grounding-in-lvlms-2SecFeedde2026-09-01T10:17:59.756600+00:00When Seeing Is Not Enough: Benchmarking Interactive Visual Grounding in LVLMshttps://blog.schoergendorfer.com/post/robustness-analysis-of-agentic-ai-to-inconsistent-and-incomplete-tool-responses-2SecFeedde2026-09-01T10:17:59.712829+00:00Robustness Analysis of Agentic AI to Inconsistent and Incomplete Tool Responseshttps://blog.schoergendorfer.com/post/execrubrics-executable-tool-augmented-rubrics-for-verifiable-and-efficient-long-3SecFeedde2026-09-01T10:17:59.688797+00:00ExecRubrics: Executable Tool-Augmented Rubrics for Verifiable and Efficient Long-Form Evaluationhttps://blog.schoergendorfer.com/post/audita-certified-auditing-and-causal-attribution-of-adverse-outcomes-in-autonomo-2SecFeedde2026-09-01T10:17:59.659202+00:00AUDITA: certified auditing and causal attribution of adverse outcomes in autonomous multi-agent systemshttps://blog.schoergendorfer.com/post/is-multimodal-speculative-decoding-ready-for-diffusion-based-parallel-drafting-a-2SecFeedde2026-09-01T10:17:59.633589+00:00Is Multimodal Speculative Decoding Ready for Diffusion-Based Parallel Drafting? A Survey and Empirical Diagnosishttps://blog.schoergendorfer.com/post/sapo-single-rollout-autoregressive-policy-optimization-for-agentic-reinforcement-2SecFeedde2026-09-01T10:17:59.603730+00:00SAPO: Single-Rollout Autoregressive Policy Optimization for Agentic Reinforcement Learninghttps://blog.schoergendorfer.com/post/rtpo-reverse-turn-policy-optimization-for-stabilizing-agentic-rl-training-2SecFeedde2026-09-01T10:17:59.578100+00:00RTPO: Reverse-Turn Policy Optimization for Stabilizing Agentic RL Traininghttps://blog.schoergendorfer.com/post/beyond-the-trace-coupling-an-interpretable-reasoning-state-readout-to-native-moe-2SecFeedde2026-09-01T10:17:59.554376+00:00Beyond the Trace: Coupling an Interpretable Reasoning-State Readout to Native MoE Routinghttps://blog.schoergendorfer.com/post/constitutive-priors-for-machine-intelligence-a-legitimacy-theory-of-the-artifici-2SecFeedde2026-09-01T10:17:59.529279+00:00Constitutive Priors for Machine Intelligence: A Legitimacy Theory of the Artificial Physical Worldhttps://blog.schoergendorfer.com/post/evo-harness-context-to-harness-skill-compilation-for-self-evolving-agents-2SecFeedde2026-09-01T10:17:59.503925+00:00Evo-Harness: Context-to-Harness Skill Compilation for Self-Evolving Agentshttps://blog.schoergendorfer.com/post/renormalising-generative-models-for-active-inference-foundations-derivations-and-2SecFeedde2026-09-01T10:17:59.460737+00:00Renormalising Generative Models for Active Inference: Foundations, Derivations, and Verificationhttps://blog.schoergendorfer.com/post/psychoagent-an-affect-sensitive-cognitive-architecture-for-conflict-aware-memory-2SecFeedde2026-09-01T10:17:59.433878+00:00PsychoAgent: An Affect-Sensitive Cognitive Architecture for Conflict-Aware Memory in LLM Agentshttps://blog.schoergendorfer.com/post/the-optimizer-is-the-agent-reasoning-driven-search-across-prompts-programs-and-m-2SecFeedde2026-09-01T10:17:59.404452+00:00The Optimizer Is the Agent: Reasoning-Driven Search across Prompts, Programs, and ML Workflowshttps://blog.schoergendorfer.com/post/nxn-e-valuation-hypothesis-certification-via-a-conformal-crt-null-2SecFeedde2026-09-01T10:17:59.380364+00:00NxN E-valuation: Hypothesis Certification via a Conformal CRT Nullhttps://blog.schoergendorfer.com/post/unequal-verdicts-investigating-gender-bias-in-llm-based-fake-news-detection-2SecFeedde2026-09-01T10:17:59.349744+00:00Unequal Verdicts: Investigating Gender Bias in LLM-Based Fake News Detectionhttps://blog.schoergendorfer.com/post/messier-a-high-resolution-corpus-for-cross-benchmark-agent-evaluation-2SecFeedde2026-09-01T10:03:09.712364+00:00Messier: A High-Resolution Corpus for Cross-Benchmark Agent Evaluationhttps://blog.schoergendorfer.com/post/instruction-tuned-language-models-cannot-sample-from-distributions-they-can-desc-2SecFeedde2026-09-01T10:03:09.692213+00:00Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describehttps://blog.schoergendorfer.com/post/masked-distillation-internalizing-the-chain-of-thought-in-language-models-2SecFeedde2026-09-01T10:03:09.669129+00:00Masked Distillation: Internalizing the Chain-of-Thought in Language Modelshttps://blog.schoergendorfer.com/post/dynamicmcpbench-a-trace-grounded-effect-scored-benchmark-for-llm-agents-over-liv-2SecFeedde2026-09-01T10:03:09.641608+00:00DynamicMCPBench: A Trace-Grounded, Effect-Scored Benchmark for LLM Agents over Live MCP Servershttps://blog.schoergendorfer.com/post/evosql-memory-augmented-critic-generator-co-evolution-for-text-to-sql-2SecFeedde2026-09-01T10:03:09.616820+00:00EvoSQL: Memory-Augmented Critic-Generator Co-Evolution for Text-to-SQLhttps://blog.schoergendorfer.com/post/worldcuparena-fine-grained-evaluation-of-language-models-and-deep-research-agent-2SecFeedde2026-09-01T10:03:09.592982+00:00WorldCupArena: Fine-Grained Evaluation of Language Models and Deep-Research Agents on Football Forecastinghttps://blog.schoergendorfer.com/post/can-agentic-trading-systems-pay-for-their-own-intelligence-2SecFeedde2026-09-01T10:03:09.568631+00:00Can Agentic Trading Systems Pay for Their Own Intelligence?https://blog.schoergendorfer.com/post/where-knowledge-and-authority-sit-changes-what-an-agent-benchmark-can-resolveSecFeedde2026-09-01T10:03:09.528180+00:00Where Knowledge and Authority Sit Changes What an Agent Benchmark Can Resolvehttps://blog.schoergendorfer.com/post/mnemosyne-agentic-transaction-processing-for-validating-and-repairing-ai-generat-2SecFeedde2026-09-01T10:03:09.505555+00:00Mnemosyne: Agentic Transaction Processing for Validating and Repairing AI-generated Workflowshttps://blog.schoergendorfer.com/post/compass-grounding-composition-intent-guidance-in-unified-multimodal-modelsSecFeedde2026-09-01T10:03:09.479715+00:00COMPASS: Grounding Composition-Intent Guidance in Unified Multimodal Modelshttps://blog.schoergendorfer.com/post/rift-bench-dynamic-red-teaming-for-agentic-ai-systemsSecFeedde2026-09-01T10:03:09.455823+00:00RIFT-Bench: Dynamic Red-teaming For Agentic AI Systemshttps://blog.schoergendorfer.com/post/dart-draft-agreement-routing-for-training-free-adaptive-thinking-budgets-in-hybrSecFeedde2026-09-01T10:03:09.433575+00:00DART: Draft-Agreement Routing for Training-Free Adaptive Thinking Budgets in Hybrid Reasoning Modelshttps://blog.schoergendorfer.com/post/in-llm-reasoning-there-is-irrationality-on-top-of-value-misalignmentSecFeedde2026-09-01T10:03:09.410253+00:00In LLM Reasoning, there is Irrationality on top of Value Misalignmenthttps://blog.schoergendorfer.com/post/scaffoldagent-utility-guided-dynamic-outline-optimization-for-open-ended-deep-reSecFeedde2026-09-01T10:03:09.372834+00:00ScaffoldAgent: Utility-Guided Dynamic Outline Optimization for Open-Ended Deep Researchhttps://blog.schoergendorfer.com/post/a-homotopy-type-theoretic-generalization-of-neurosymbolic-inferenceSecFeedde2026-09-01T10:03:09.333081+00:00A homotopy-type-theoretic generalization of neurosymbolic inferencehttps://blog.schoergendorfer.com/post/beyond-helpfulness-a-teaching-over-solving-diagnostic-for-measuring-educationalSecFeedde2026-09-01T09:47:35.753660+00:00Beyond Helpfulness: A Teaching-over-Solving Diagnostic for Measuring Educational Impact in LLM Tutorshttps://blog.schoergendorfer.com/post/itercad-an-iterative-multimodal-agent-for-visually-grounded-cad-generation-and-eSecFeedde2026-09-01T09:47:35.726572+00:00IterCAD: An Iterative Multimodal Agent for Visually-Grounded CAD Generation and Editinghttps://blog.schoergendorfer.com/post/from-agi-to-asiSecFeedde2026-09-01T09:47:35.703935+00:00From AGI to ASIhttps://blog.schoergendorfer.com/post/foresightsafety-sagea-fully-automated-scenario-generation-and-safety-evaluation-2SecFeedde2026-09-01T09:47:35.678892+00:00ForesightSafety-SAGE:A Fully Automated Scenario Generation and Safety Evaluation Framework for LLM Agentshttps://blog.schoergendorfer.com/post/how-small-can-you-go-lora-fine-tuning-270m-8b-models-for-merchant-information-ex-2SecFeedde2026-09-01T09:47:35.654045+00:00How Small Can You Go? LoRA Fine-Tuning 270M-8B Models for Merchant Information Extraction in Financial Transactionshttps://blog.schoergendorfer.com/post/crowdmath-a-dataset-of-crowdsourced-mathematical-research-discussionsSecFeedde2026-09-01T09:47:35.629518+00:00CrowdMath: A Dataset of Crowdsourced Mathematical Research Discussionshttps://blog.schoergendorfer.com/post/evolving-agents-in-the-dark-retrospective-harness-optimization-via-self-preferenSecFeedde2026-09-01T09:47:35.610156+00:00Evolving Agents in the Dark: Retrospective Harness Optimization via Self-Preferencehttps://blog.schoergendorfer.com/post/handoff-debt-the-rediscovery-cost-when-coding-agents-take-over-interrupted-tasksSecFeedde2026-09-01T09:47:35.574106+00:00Handoff Debt: The Rediscovery Cost When Coding Agents Take Over Interrupted Taskshttps://blog.schoergendorfer.com/post/self-correction-can-amplify-hallucinations-fact-level-repair-with-graph-based-evSecFeedde2026-09-01T09:47:35.535812+00:00Self-Correction Can Amplify Hallucinations: Fact-Level Repair with Graph-Based Evidence Routing in Multimodal Generationhttps://blog.schoergendorfer.com/post/citation-closure-retrieval-and-per-rule-attribution-for-real-world-regulatory-coSecFeedde2026-09-01T09:47:35.477345+00:00Citation-Closure Retrieval and Per-Rule Attribution for Real-World Regulatory Compliance Question Answeringhttps://blog.schoergendorfer.com/post/adopt-neq-adapt-longitudinal-analyses-of-llm-conversations-in-the-wildSecFeedde2026-09-01T09:47:35.453030+00:00Adopt $\neq$ Adapt: Longitudinal Analyses of LLM Conversations in the Wildhttps://blog.schoergendorfer.com/post/zipping-the-thought-when-and-how-compressed-reasoning-data-works-in-llm-post-traSecFeedde2026-09-01T09:47:35.429440+00:00Zipping the Thought: When and How Compressed Reasoning Data Works in LLM Post-Traininghttps://blog.schoergendorfer.com/post/asynctool-evaluating-the-asynchronous-function-calling-capability-under-multi-taSecFeedde2026-09-01T09:47:35.408279+00:00AsyncTool: Evaluating the Asynchronous Function Calling Capability under Multi-Task Scenarioshttps://blog.schoergendorfer.com/post/portbench-a-correlation-aware-full-pipeline-benchmark-for-llm-driven-portfolio-m-2SecFeedde2026-09-01T09:47:35.390131+00:00PortBench: A Correlation-Aware, Full-Pipeline Benchmark for LLM-Driven Portfolio Managementhttps://blog.schoergendorfer.com/post/veritrace-evolving-mental-models-for-deep-research-agentsSecFeedde2026-09-01T09:47:35.370451+00:00VeriTrace: Evolving Mental Models for Deep Research Agentshttps://blog.schoergendorfer.com/post/agent-as-peer-debriefer-a-multi-agent-framework-with-perspective-based-refinemenSecFeedde2026-09-01T09:47:35.344144+00:00Agent-as-Peer-Debriefer: A Multi-Agent Framework with Perspective-Based Refinement for Qualitative Analysishttps://blog.schoergendorfer.com/post/summoning-the-oracle-to-slay-it-mitigating-look-ahead-bias-in-financial-backtestSecFeedde2026-09-01T09:32:43.022363+00:00Summoning the Oracle to Slay It: Mitigating Look-Ahead Bias in Financial Backtesting with Large Language Modelshttps://blog.schoergendorfer.com/post/sciatlas-a-computable-atlas-of-science-for-knowledge-grounded-ai-researchSecFeedde2026-09-01T09:32:42.999802+00:00SciAtlas: A Computable Atlas of Science for Knowledge-Grounded AI Researchhttps://blog.schoergendorfer.com/post/useful-memories-become-faulty-when-continuously-updated-by-llmsSecFeedde2026-09-01T09:32:42.980257+00:00Useful Memories Become Faulty When Continuously Updated by LLMshttps://blog.schoergendorfer.com/post/skillret-a-large-scale-benchmark-for-skill-retrieval-in-llm-agentsSecFeedde2026-09-01T09:32:42.956530+00:00SkillRet: A Large-Scale Benchmark for Skill Retrieval in LLM Agentshttps://blog.schoergendorfer.com/post/first-order-efficiency-for-probabilistic-value-estimation-via-a-statistical-viewSecFeedde2026-09-01T09:32:42.927082+00:00First-Order Efficiency for Probabilistic Value Estimation via A Statistical Viewpointhttps://blog.schoergendorfer.com/post/training-and-agentic-inference-strategies-for-llm-based-manim-animation-generatiSecFeedde2026-09-01T09:32:42.906461+00:00Training and Agentic Inference Strategies for LLM-based Manim Animation Generationhttps://blog.schoergendorfer.com/post/reactbench-a-benchmark-for-topological-reasoning-in-mllms-on-chemical-reaction-d-2SecFeedde2026-09-01T09:32:42.884281+00:00ReactBench: A Benchmark for Topological Reasoning in MLLMs on Chemical Reaction Diagramshttps://blog.schoergendorfer.com/post/webxskill-skill-learning-for-autonomous-web-agentsSecFeedde2026-09-01T09:32:42.861055+00:00WebXSkill: Skill Learning for Autonomous Web Agentshttps://blog.schoergendorfer.com/post/a-multi-agent-human-llm-collaborative-framework-for-closed-loop-scientific-literSecFeedde2026-09-01T09:32:42.822361+00:00A Multi-Agent Human-LLM Collaborative Framework for Closed-Loop Scientific Literature Summarizationhttps://blog.schoergendorfer.com/post/view-oriented-conversation-compiler-for-agent-trace-analysisSecFeedde2026-09-01T09:32:42.799943+00:00View-oriented Conversation Compiler for Agent Trace Analysishttps://blog.schoergendorfer.com/post/peoplesearchbench-evaluating-ai-powered-people-search-platforms-with-criteria-grSecFeedde2026-09-01T09:32:42.777777+00:00PeopleSearchBench: Evaluating AI-Powered People Search Platforms with Criteria-Grounded Verificationhttps://blog.schoergendorfer.com/post/intrygue-induction-aware-entropy-gating-for-reliable-rag-uncertainty-estimation-2SecFeedde2026-09-01T09:32:42.741125+00:00INTRYGUE: Induction-Aware Entropy Gating for Reliable RAG Uncertainty Estimationhttps://blog.schoergendorfer.com/post/retrieval-augmented-llm-agents-learning-to-learn-from-experienceSecFeedde2026-09-01T09:32:42.717274+00:00Retrieval-Augmented LLM Agents: Learning to Learn from Experiencehttps://blog.schoergendorfer.com/post/unified-mas-universally-generating-domain-specific-nodes-for-empowering-automatiSecFeedde2026-09-01T09:32:42.695906+00:00Unified-MAS: Universally Generating Domain-Specific Nodes for Empowering Automatic Multi-Agent Systemshttps://blog.schoergendorfer.com/post/agentrx-diagnosing-ai-agent-failures-from-execution-trajectoriesSecFeedde2026-09-01T09:32:42.657998+00:00AgentRx: Diagnosing AI Agent Failures from Execution Trajectorieshttps://blog.schoergendorfer.com/post/beyond-dense-states-sparse-transcoders-as-causally-testable-operators-for-llm-laSecFeedde2026-09-01T09:32:42.637103+00:00Beyond Dense States: Sparse Transcoders as Causally Testable Operators for LLM Latent Reasoninghttps://blog.schoergendorfer.com/post/reasoning-and-tool-use-compete-in-agentic-rlfrom-quantifying-interference-to-disSecFeedde2026-09-01T09:32:42.616388+00:00Reasoning and Tool-use Compete in Agentic RL:From Quantifying Interference to Disentangled Tuninghttps://blog.schoergendorfer.com/post/humanstudy-bench-towards-ai-agent-design-for-participant-simulationSecFeedde2026-09-01T09:17:25.134491+00:00HumanStudy-Bench: Towards AI Agent Design for Participant Simulationhttps://blog.schoergendorfer.com/post/defining-operational-conditions-for-safety-critical-ai-based-systems-from-dataSecFeedde2026-09-01T09:17:25.114069+00:00Defining Operational Conditions for Safety-Critical AI-Based Systems from Datahttps://blog.schoergendorfer.com/post/shardmemo-scope-before-routing-for-agentic-memory-retrievalSecFeedde2026-09-01T09:17:25.093821+00:00ShardMemo: Scope-Before-Routing for Agentic Memory Retrievalhttps://blog.schoergendorfer.com/post/real-time-deadlines-reveal-fragile-temporal-adaptation-in-llm-strategic-dialogueSecFeedde2026-09-01T09:17:25.054849+00:00Real-Time Deadlines Reveal Fragile Temporal Adaptation in LLM Strategic Dialogueshttps://blog.schoergendorfer.com/post/spring-continual-llm-personalization-via-selective-parametric-adaptation-and-ret-2SecFeedde2026-09-01T09:17:25.032886+00:00SPRInG: Continual LLM Personalization via Selective Parametric Adaptation and Retrieval-Interpolated Generationhttps://blog.schoergendorfer.com/post/controllable-memory-usage-balancing-anchoring-and-innovation-in-long-term-humanSecFeedde2026-09-01T09:17:25.010851+00:00Controllable Memory Usage: Balancing Anchoring and Innovation in Long-Term Human-Agent Interactionhttps://blog.schoergendorfer.com/post/mobiledreamer-generative-sketch-world-model-for-gui-agentSecFeedde2026-09-01T09:17:24.991617+00:00MobileDreamer: Generative Sketch World Model for GUI Agenthttps://blog.schoergendorfer.com/post/gui-pra-process-reward-agent-for-gui-tasksSecFeedde2026-09-01T09:17:24.954565+00:00GUI-PRA: Process Reward Agent for GUI Taskshttps://blog.schoergendorfer.com/post/reasoning-or-rambling-exploring-the-effect-of-thinking-on-agent-persuasion-2SecFeedde2026-09-01T09:17:24.931256+00:00Reasoning or Rambling? Exploring the Effect of Thinking on Agent Persuasionhttps://blog.schoergendorfer.com/post/spade-a-large-language-model-framework-for-soil-moisture-pattern-recognition-andSecFeedde2026-09-01T09:17:24.895561+00:00SPADE: A Large Language Model Framework for Soil Moisture Pattern Recognition and Anomaly Detection in Precision Agriculturehttps://blog.schoergendorfer.com/post/beyond-pixels-exploring-dom-downsampling-for-llm-based-web-agents-2SecFeedde2026-09-01T09:17:24.877272+00:00Beyond Pixels: Exploring DOM Downsampling for LLM-Based Web Agentshttps://blog.schoergendorfer.com/post/assetopsbench-benchmarking-ai-agents-for-task-automation-in-industrial-asset-opeSecFeedde2026-09-01T09:17:24.857345+00:00AssetOpsBench: Benchmarking AI Agents for Task Automation in Industrial Asset Operations and Maintenancehttps://blog.schoergendorfer.com/post/a-mental-model-based-framework-of-trustSecFeedde2026-09-01T09:17:24.834715+00:00A Mental Model Based Framework of Trusthttps://blog.schoergendorfer.com/post/sun-persistent-programs-for-language-grounded-control-to-learning-to-real-policiSecFeedde2026-09-01T09:17:24.812593+00:00SUN: Persistent Programs For Language-Grounded Control-to-Learning-to-Real Policieshttps://blog.schoergendorfer.com/post/auditing-anonymous-ai-models-a-four-stage-protocol-for-black-box-identity-verifiSecFeedde2026-09-01T09:17:24.790630+00:00Auditing Anonymous AI Models: A Four-Stage Protocol for Black-Box Identity Verificationhttps://blog.schoergendorfer.com/post/llm-post-training-as-brownfield-maintenance-an-industrial-perspective-on-datawarSecFeedde2026-09-01T09:17:24.771821+00:00LLM Post-Training as Brownfield Maintenance: An Industrial Perspective on Dataware Engineeringhttps://blog.schoergendorfer.com/post/learning-to-evaluate-before-improving-automatic-rubric-induction-for-automatic-rSecFeedde2026-09-01T09:17:24.750594+00:00Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research Agentshttps://blog.schoergendorfer.com/post/one-note-in-three-a-verified-census-of-three-deployed-ai-scribes-and-the-instrumSecFeedde2026-09-01T09:02:39.208619+00:00One note in three: a verified census of three deployed AI scribes, and the instrument that counted ithttps://blog.schoergendorfer.com/post/llm-judges-verify-presence-not-absence-omission-blindness-in-ai-clinical-notes-aSecFeedde2026-09-01T09:02:39.186021+00:00LLM Judges Verify Presence, Not Absence: Omission Blindness in AI Clinical Notes and What Recovers Ithttps://blog.schoergendorfer.com/post/stick-to-what-you-know-a-study-of-knowledge-aligned-supervised-fine-tuningSecFeedde2026-09-01T09:02:39.162295+00:00Stick to What You Know: A Study of Knowledge-Aligned Supervised Fine-Tuninghttps://blog.schoergendorfer.com/post/mr-jepa-a-general-purpose-video-foundation-model-for-cardiac-mriSecFeedde2026-09-01T09:02:39.120906+00:00MR-JEPA: A General Purpose Video Foundation Model for Cardiac MRIhttps://blog.schoergendorfer.com/post/cojepa-combining-contrastive-learning-and-jepa-for-global-local-music-representaSecFeedde2026-09-01T09:02:39.099271+00:00CoJEPA: Combining Contrastive Learning and JEPA for Global-Local Music Representationshttps://blog.schoergendorfer.com/post/cogevol-towards-efficient-and-reliable-learning-environment-generationSecFeedde2026-09-01T09:02:39.073510+00:00CogEvol: Towards Efficient and Reliable Learning Environment Generationhttps://blog.schoergendorfer.com/post/a-universal-context-reuse-layer-for-cross-model-kv-sharingSecFeedde2026-09-01T09:02:39.049535+00:00A Universal Context-Reuse Layer for Cross-Model KV Sharinghttps://blog.schoergendorfer.com/post/loci-a-locator-critic-with-refinement-loopSecFeedde2026-09-01T09:02:39.027395+00:00LOCI: A Locator-Critic with Refinement Loophttps://blog.schoergendorfer.com/post/taking-the-whys-seriously-limitations-of-counterfactual-explanations-in-justificSecFeedde2026-09-01T09:02:39.007029+00:00Taking the Whys Seriously: Limitations of Counterfactual Explanations in Justification and Recoursehttps://blog.schoergendorfer.com/post/musgu-toward-a-musician-centered-evaluation-framework-and-discovery-tool-for-genSecFeedde2026-09-01T09:02:38.985275+00:00MusGU+: Toward a Musician-Centered Evaluation Framework and Discovery Tool for Generative Music AIhttps://blog.schoergendorfer.com/post/lightnav-0-eliciting-vlm-spatial-intelligence-for-generalist-embodied-navigationSecFeedde2026-09-01T09:02:38.964304+00:00LightNav-0: Eliciting VLM Spatial Intelligence for Generalist Embodied Navigationhttps://blog.schoergendorfer.com/post/stride-k-subsampling-train-free-audio-token-reduction-for-whisperSecFeedde2026-09-01T09:02:38.942013+00:00Stride-k Subsampling: Train-Free Audio Token Reduction for Whisperhttps://blog.schoergendorfer.com/post/safety-screening-for-voltage-control-in-active-distribution-grids-via-distributiSecFeedde2026-09-01T09:02:38.915028+00:00Safety Screening for Voltage Control in Active Distribution Grids via Distributionally Robust Conformal Screeninghttps://blog.schoergendorfer.com/post/towards-stream-learning-on-embedded-systems-benchmarking-the-memory-consumptionSecFeedde2026-09-01T09:02:38.891367+00:00Towards Stream Learning on Embedded Systems: Benchmarking the Memory Consumption of Stream Learning Methodshttps://blog.schoergendorfer.com/post/personas-differ-from-native-language-generation-language-pathways-shape-llm-inteSecFeedde2026-09-01T09:02:38.844839+00:00Personas Differ from Native-Language Generation: Language Pathways Shape LLM Interpersonal Advicehttps://blog.schoergendorfer.com/post/exponential-random-graph-models-with-soft-clique-constraintsSecFeedde2026-09-01T09:02:38.820473+00:00Exponential random graph models with soft clique constraintshttps://blog.schoergendorfer.com/post/tami-temporally-aligned-missingness-aware-and-interpretable-multimodal-fusion-foSecFeedde2026-09-01T09:02:38.787572+00:00TAMI: Temporally Aligned, Missingness-Aware, and Interpretable Multimodal Fusion for Mental Health Assessment in Older Adults with Mild Cognitive Impairmenthttps://blog.schoergendorfer.com/post/pretrained-curriculum-tuned-and-ensembled-a-tracer-aware-interactive-segmentatioSecFeedde2026-09-01T08:47:35.800705+00:00Pretrained, Curriculum-Tuned, and Ensembled: A Tracer-Aware Interactive Segmentation Pipeline for AutoPET Vhttps://blog.schoergendorfer.com/post/reliable-benchmarking-of-artifact-detection-in-computational-pathology-a-reproduSecFeedde2026-09-01T08:47:35.779715+00:00Reliable Benchmarking of Artifact Detection in Computational Pathology: A Reproducibility and Uncertainty Analysishttps://blog.schoergendorfer.com/post/lucida-parse-generate-and-place-for-composable-real-to-sim-scene-modelingSecFeedde2026-09-01T08:47:35.751730+00:00Lucida: Parse, Generate, and Place for Composable Real-to-Sim Scene Modelinghttps://blog.schoergendorfer.com/post/a-composition-aware-pretraining-framework-for-geospatial-foundation-modelsSecFeedde2026-09-01T08:47:35.723363+00:00A Composition-Aware Pretraining Framework for Geospatial Foundation Modelshttps://blog.schoergendorfer.com/post/aggregate-disambiguation-systemsSecFeedde2026-09-01T08:47:35.701258+00:00Aggregate Disambiguation Systemshttps://blog.schoergendorfer.com/post/conjoint-audio-to-spikes-encoding-and-processing-for-efficient-neuromorphic-speeSecFeedde2026-09-01T08:47:35.678997+00:00Conjoint Audio-to-Spikes Encoding and Processing for Efficient Neuromorphic Speech Recognitionhttps://blog.schoergendorfer.com/post/on-the-prospects-of-dynamic-llm-conversations-in-software-developmentSecFeedde2026-09-01T08:47:35.654576+00:00On the Prospects of Dynamic LLM Conversations in Software Developmenthttps://blog.schoergendorfer.com/post/calibrating-small-language-models-for-claim-check-worthiness-detectionSecFeedde2026-09-01T08:47:35.631687+00:00Calibrating Small Language Models for Claim Check-Worthiness Detectionhttps://blog.schoergendorfer.com/post/railgen-improving-railway-intrusion-detection-via-agent-guided-small-scale-foreiSecFeedde2026-09-01T08:47:35.588633+00:00RailGen: Improving Railway Intrusion Detection via Agent-Guided Small-Scale Foreign Object Generationhttps://blog.schoergendorfer.com/post/baitbench-measuring-agent-reward-hacking-with-optional-shortcuts-planted-in-ml-tSecFeedde2026-09-01T08:47:35.562428+00:00BAITBENCH: Measuring Agent Reward Hacking with Optional Shortcuts Planted in ML Taskshttps://blog.schoergendorfer.com/post/railsyn-diagnosis-guided-image-generation-for-traceable-data-completion-in-railwSecFeedde2026-09-01T08:47:35.542282+00:00RailSyn: Diagnosis-Guided Image Generation for Traceable Data Completion in Railway Foreign Object Detectionhttps://blog.schoergendorfer.com/post/singprobe-technical-reportSecFeedde2026-09-01T08:47:35.520797+00:00SingProbe Technical Reporthttps://blog.schoergendorfer.com/post/an-agentic-retrobiosynthesis-framework-with-learned-frontier-selectionSecFeedde2026-09-01T08:47:35.494434+00:00An Agentic Retrobiosynthesis Framework with Learned Frontier Selectionhttps://blog.schoergendorfer.com/post/learning-dynamics-of-logits-debiasing-for-long-tailed-semi-supervised-learningSecFeedde2026-09-01T08:47:35.474592+00:00Learning Dynamics of Logits Debiasing for Long-Tailed Semi-Supervised Learninghttps://blog.schoergendorfer.com/post/learning-materials-properties-from-scarce-labels-and-unlabeled-crystalsSecFeedde2026-09-01T08:47:35.454623+00:00Learning Materials Properties from Scarce Labels and Unlabeled Crystalshttps://blog.schoergendorfer.com/post/compass-collaborative-molecular-property-prediction-via-adaptive-small-large-modSecFeedde2026-09-01T08:47:35.414113+00:00CoMPASS: Collaborative Molecular Property Prediction via Adaptive Small-Large Model Synergyhttps://blog.schoergendorfer.com/post/fine-grained-multi-image-object-hallucination-benchmarkSecFeedde2026-09-01T08:47:35.392251+00:00Fine-Grained Multi Image Object Hallucination Benchmarkhttps://blog.schoergendorfer.com/post/big-sure-bipartite-graph-for-semantic-uncertainty-and-reliability-estimation-ofSecFeedde2026-09-01T08:47:35.365823+00:00BiG-SURE - Bipartite Graph for Semantic Uncertainty and Reliability Estimation of LLMshttps://blog.schoergendorfer.com/post/gmts-gradient-magnitude-based-token-selection-improves-rlvr-training-for-llm-reaSecFeedde2026-09-01T08:32:58.891344+00:00GMTS: Gradient Magnitude-based Token Selection Improves RLVR Training for LLM Reasoninghttps://blog.schoergendorfer.com/post/cost-efficient-active-learning-for-referring-image-segmentation-and-groundingSecFeedde2026-09-01T08:32:58.870007+00:00Cost-efficient Active Learning for Referring Image Segmentation and Groundinghttps://blog.schoergendorfer.com/post/hidden-threat-in-synthetic-data-covert-targeted-bias-injection-through-benign-teSecFeedde2026-09-01T08:32:58.845712+00:00Hidden Threat in Synthetic Data: Covert Targeted Bias Injection through Benign Texthttps://blog.schoergendorfer.com/post/reading-the-news-adapting-large-language-models-to-swedish-journalism-through-coSecFeedde2026-09-01T08:32:58.820738+00:00Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-Traininghttps://blog.schoergendorfer.com/post/generative-retrieval-for-e-commerce-jointly-learning-embedding-and-codebook-withSecFeedde2026-09-01T08:32:58.797784+00:00Generative Retrieval for E-commerce: Jointly Learning Embedding and Codebook with Same Product Clusterhttps://blog.schoergendorfer.com/post/diffsac-diffusion-guided-sampling-for-consensus-based-robust-estimationSecFeedde2026-09-01T08:32:58.778357+00:00DiffSAC: Diffusion-guided Sampling for Consensus-based Robust Estimationhttps://blog.schoergendorfer.com/post/collapsibility-of-performance-metrics-in-clinical-predictive-aiSecFeedde2026-09-01T08:32:58.740994+00:00Collapsibility of Performance Metrics in Clinical Predictive AIhttps://blog.schoergendorfer.com/post/q-strata-hierarchical-bit-allocation-for-mixed-precision-quantization-of-mixtureSecFeedde2026-09-01T08:32:58.701364+00:00Q-Strata: Hierarchical Bit Allocation for Mixed-Precision Quantization of Mixture-of-Experts LLMshttps://blog.schoergendorfer.com/post/preference-shapes-relevance-cross-component-hierarchical-semantic-alignment-forSecFeedde2026-09-01T08:32:58.681503+00:00Preference Shapes Relevance: Cross-component Hierarchical Semantic Alignment for Personalized Generative Retrievalhttps://blog.schoergendorfer.com/post/trajectory-initialized-neural-double-q-routing-for-large-scale-overhead-hoist-trSecFeedde2026-09-01T08:32:58.637909+00:00Trajectory-Initialized Neural Double Q-Routing for Large-Scale Overhead Hoist Transport Systemshttps://blog.schoergendorfer.com/post/lot-machine-multimodal-lot-extraction-from-auction-catalogsSecFeedde2026-09-01T08:32:58.615194+00:00Lot Machine: Multimodal Lot Extraction from Auction Catalogshttps://blog.schoergendorfer.com/post/tensor-methods-for-language-models-from-token-representation-to-training-adaptatSecFeedde2026-09-01T08:32:58.592576+00:00Tensor Methods for Language Models: From Token Representation to Training, Adaptation, Inference, Compression, and Interpretabilityhttps://blog.schoergendorfer.com/post/measuring-memory-and-generalization-as-separable-geometric-channels-the-topo2-frSecFeedde2026-09-01T08:32:58.568553+00:00Measuring Memory and Generalization as Separable Geometric Channels: The Topo^2 Frameworkhttps://blog.schoergendorfer.com/post/enhancing-low-resource-language-reasoning-via-high-resource-language-feature-traSecFeedde2026-09-01T08:32:58.523326+00:00Enhancing Low-Resource Language Reasoning via High-Resource Language Feature Transferhttps://blog.schoergendorfer.com/post/lies-we-can-see-joint-verbal-and-non-verbal-deception-by-vlm-agents-in-embodiedSecFeedde2026-09-01T08:32:58.499780+00:00Lies We Can See: Joint Verbal and Non-Verbal Deception by VLM Agents in Embodied Social Interactionshttps://blog.schoergendorfer.com/post/towards-cognitive-process-aware-proactive-writing-supportSecFeedde2026-09-01T08:32:58.475774+00:00Towards Cognitive Process-Aware Proactive Writing Supporthttps://blog.schoergendorfer.com/post/whole-slide-image-analysis-under-realistic-few-shot-annotation-protocolsSecFeedde2026-09-01T08:32:58.431897+00:00Whole-Slide Image Analysis under Realistic Few-Shot Annotation Protocolshttps://blog.schoergendorfer.com/post/imagecas-x-a-dataset-and-benchmark-for-coronary-artery-segmentation-and-centerliSecFeedde2026-09-01T08:17:50.127481+00:00ImageCAS-X: a dataset and benchmark for coronary artery segmentation and centerline extraction in coronary CT angiographyhttps://blog.schoergendorfer.com/post/sempoi-rl-aligning-llm-semantic-reasoning-for-interpretable-out-of-town-poi-sequSecFeedde2026-09-01T08:17:50.098717+00:00SemPOI-RL: Aligning LLM Semantic Reasoning for Interpretable Out-of-Town POI Sequential Generationhttps://blog.schoergendorfer.com/post/using-grounded-theory-for-agent-behavior-analysis-at-scaleSecFeedde2026-09-01T08:17:50.041741+00:00Using Grounded Theory for Agent Behavior Analysis at Scalehttps://blog.schoergendorfer.com/post/dasc-decay-aware-state-compression-for-hybrid-linear-attention-servingSecFeedde2026-09-01T08:17:50.003420+00:00DASC: Decay-Aware State Compression for Hybrid Linear-Attention Servinghttps://blog.schoergendorfer.com/post/pave-predictive-alignment-and-value-guided-evolution-for-world-action-policiesSecFeedde2026-09-01T08:17:49.980599+00:00PAVE: Predictive Alignment and Value-Guided Evolution for World-Action Policieshttps://blog.schoergendorfer.com/post/beyond-ranking-accuracy-evaluating-llm-cited-feature-rationales-for-next-basketSecFeedde2026-09-01T08:17:49.957086+00:00Beyond Ranking Accuracy: Evaluating LLM-Cited Feature Rationales for Next Basket Repurchase Recommendationhttps://blog.schoergendorfer.com/post/beyond-token-level-guidance-inference-time-alignment-of-specialized-llms-via-croSecFeedde2026-09-01T08:17:49.915523+00:00Beyond Token-Level Guidance: Inference-Time Alignment of Specialized LLMs via Cross-Family Representation Steeringhttps://blog.schoergendorfer.com/post/online-estimation-of-dynamic-origin-destination-matrices-using-reinforcement-leaSecFeedde2026-09-01T08:17:49.895718+00:00Online Estimation of Dynamic Origin-Destination Matrices Using Reinforcement Learning with Link-Flow Propagation Guidancehttps://blog.schoergendorfer.com/post/one-ai-signal-many-human-judgments-a-bayesian-cascade-analysis-of-ai-based-crediSecFeedde2026-09-01T08:17:49.873679+00:00One AI Signal, Many Human Judgments: A Bayesian Cascade Analysis of AI-based Credibility Indicators in Online Information Spreadhttps://blog.schoergendorfer.com/post/tail-replay-escaping-the-curse-of-linear-attention-in-prefix-caching-for-hybridSecFeedde2026-09-01T08:17:49.849464+00:00Tail-Replay: Escaping the Curse of Linear Attention in Prefix Caching for Hybrid LLMshttps://blog.schoergendorfer.com/post/scenepilot-grow-and-repair-policy-for-text-driven-3d-indoor-scene-generationSecFeedde2026-09-01T08:17:49.826920+00:00ScenePilot: Grow-and-Repair Policy for Text-Driven 3D Indoor Scene Generationhttps://blog.schoergendorfer.com/post/catekv-on-sequential-consistency-for-long-context-llm-inference-accelerationSecFeedde2026-09-01T08:17:49.803098+00:00CateKV: On Sequential Consistency for Long-Context LLM Inference Accelerationhttps://blog.schoergendorfer.com/post/bcppo-bachelier-inspired-constrained-proximal-policy-optimization-for-tail-riskSecFeedde2026-09-01T08:17:49.781207+00:00BCPPO: Bachelier-Inspired Constrained Proximal Policy Optimization for Tail-Risk-Aware Safe Reinforcement Learninghttps://blog.schoergendorfer.com/post/centering-before-pruning-lightweight-geometry-correction-for-diversity-based-visSecFeedde2026-09-01T08:17:49.736407+00:00Centering before Pruning: Lightweight Geometry Correction for Diversity-Based Visual Token Pruning in LVLMshttps://blog.schoergendorfer.com/post/using-prosody-to-predict-syntactic-structureSecFeedde2026-09-01T08:17:49.712568+00:00Using Prosody to Predict Syntactic Structurehttps://blog.schoergendorfer.com/post/stratified-consistency-distillation-for-natural-language-formalizationSecFeedde2026-09-01T08:02:38.263023+00:00Stratified Consistency Distillation for Natural Language Formalizationhttps://blog.schoergendorfer.com/post/beyond-surface-forms-symbolic-edits-as-a-test-for-logical-reasoning-with-llmsSecFeedde2026-09-01T08:02:38.241231+00:00Beyond Surface Forms: Symbolic Edits as a Test for Logical Reasoning with LLMshttps://blog.schoergendorfer.com/post/motus2-a-self-evolving-general-world-model-for-dexterous-manipulationSecFeedde2026-09-01T08:02:38.216845+00:00Motus2: A Self-Evolving General World Model for Dexterous Manipulationhttps://blog.schoergendorfer.com/post/the-differential-reasoning-router-operationalizing-cost-aware-llm-annotation-inSecFeedde2026-09-01T08:02:38.188710+00:00The Differential Reasoning Router: Operationalizing Cost-Aware LLM Annotation in E-commercehttps://blog.schoergendorfer.com/post/sir-self-improving-red-teaming-for-compute-use-agentsSecFeedde2026-09-01T08:02:38.151835+00:00SIR: Self-improving Red-teaming for Compute Use Agentshttps://blog.schoergendorfer.com/post/science-sandboxes-measure-the-scientific-capability-of-ai-agentsSecFeedde2026-09-01T08:02:38.130157+00:00Science sandboxes measure the scientific capability of AI agentshttps://blog.schoergendorfer.com/post/cpr-for-llms-critical-point-routing-against-catastrophic-forgetting-in-domain-adSecFeedde2026-09-01T08:02:38.109060+00:00CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptationhttps://blog.schoergendorfer.com/post/aligning-multi-trajectory-supervision-with-policy-optimization-for-vla-drivingSecFeedde2026-09-01T08:02:38.037823+00:00Aligning Multi-Trajectory Supervision with Policy Optimization for VLA Drivinghttps://blog.schoergendorfer.com/post/can-llms-take-the-pulse-of-the-economy-a-real-time-evaluation-of-llm-nowcasts-onSecFeedde2026-09-01T08:02:38.018786+00:00Can LLMs Take the Pulse of the Economy? A Real-Time Evaluation of LLM Nowcasts on Macroeconomic Indicatorshttps://blog.schoergendorfer.com/post/graph4bilo-graph-neural-network-approximation-for-bilevel-mixed-integer-linear-oSecFeedde2026-09-01T08:02:37.975374+00:00Graph4BiLO: Graph Neural Network Approximation for Bilevel Mixed-Integer Linear Optimizationhttps://blog.schoergendorfer.com/post/arkios-an-open-bilingual-english-nepali-language-model-trained-from-scratch-withSecFeedde2026-09-01T08:02:37.955687+00:00Arkios: An Open Bilingual English-Nepali Language Model Trained From Scratch, with a Devanagari-Aware Tokenizerhttps://blog.schoergendorfer.com/post/how-do-world-models-and-policies-compose-in-llm-agents-a-joint-spectral-and-behaSecFeedde2026-09-01T08:02:37.935467+00:00How do World Models and Policies Compose in LLM Agents? A Joint Spectral and Behavioral Accounthttps://blog.schoergendorfer.com/post/pak3h-evaluating-the-cost-of-cultural-mismatch-in-llm-alignment-with-a-human-conSecFeedde2026-09-01T08:02:37.911287+00:00Pak3H: Evaluating the Cost of Cultural Mismatch in LLM Alignment with a Human-Contextualized Urdu Benchmarkhttps://blog.schoergendorfer.com/post/reachability-based-capability-confinement-for-llm-agents-under-indirect-prompt-iSecFeedde2026-09-01T08:02:37.889225+00:00Reachability-Based Capability Confinement for LLM Agents under Indirect Prompt Injectionhttps://blog.schoergendorfer.com/post/forget-or-fine-tune-a-comparative-study-of-machine-unlearning-strategies-for-noiSecFeedde2026-09-01T08:02:37.859555+00:00Forget or Fine-tune? A Comparative Study of Machine Unlearning Strategies for Noisy Label Correctionhttps://blog.schoergendorfer.com/post/error-detection-for-petct-radiology-reports-domain-specific-vs-large-language-moSecFeedde2026-09-01T07:47:48.217486+00:00Error Detection for PET/CT Radiology Reports: Domain-Specific vs Large Language Modelshttps://blog.schoergendorfer.com/post/tempo-temporally-grounded-multi-task-post-training-for-large-audio-language-modeSecFeedde2026-09-01T07:47:48.196109+00:00TEMPO: Temporally-grounded Multi-task Post-training for Large Audio-Language Modelshttps://blog.schoergendorfer.com/post/partition-aware-unlearning-for-removing-spurious-correlations-in-large-vision-laSecFeedde2026-09-01T07:47:48.176455+00:00Partition-Aware Unlearning for Removing Spurious Correlations in Large Vision-Language Modelshttps://blog.schoergendorfer.com/post/generating-clinical-vignettes-that-preserve-cognitive-formulationsSecFeedde2026-09-01T07:47:48.155939+00:00Generating Clinical Vignettes that Preserve Cognitive Formulationshttps://blog.schoergendorfer.com/post/beyond-fluency-a-rubric-based-benchmark-for-evaluating-saudi-dialect-and-culturaSecFeedde2026-09-01T07:47:48.137057+00:00Beyond Fluency: A Rubric-Based Benchmark for Evaluating Saudi Dialect and Cultural Competence in Large Language Modelshttps://blog.schoergendorfer.com/post/training-free-action-correction-for-vla-model-failures-via-language-feedbackSecFeedde2026-09-01T07:47:48.117421+00:00Training-Free Action Correction for VLA Model Failures via Language Feedbackhttps://blog.schoergendorfer.com/post/the-policy-deficit-in-ai-x-social-emotional-learning-researchSecFeedde2026-09-01T07:47:48.100674+00:00The Policy Deficit in AI x Social-Emotional Learning Researchhttps://blog.schoergendorfer.com/post/influence-is-not-authority-when-causal-guardrail-signals-make-legitimate-tool-usSecFeedde2026-09-01T07:47:48.083606+00:00Influence Is Not Authority: When Causal Guardrail Signals Make Legitimate Tool Use Look Like an Attack in Tool-Using LLM Agentshttps://blog.schoergendorfer.com/post/hallucination-mitigation-for-large-vision-language-models-via-implicit-feature-sSecFeedde2026-09-01T07:47:48.064637+00:00Hallucination Mitigation for Large Vision-Language Models via Implicit Feature Stabilizationhttps://blog.schoergendorfer.com/post/indicdetect-evaluating-cross-lingual-llm-generated-text-detection-for-hindi-teluSecFeedde2026-09-01T07:47:48.030012+00:00IndicDetect: Evaluating Cross-Lingual LLM-Generated Text Detection for Hindi, Telugu, and Tamilhttps://blog.schoergendorfer.com/post/when-less-is-more-understanding-when-token-filtering-helps-and-fails-in-ai-generSecFeedde2026-09-01T07:47:48.004578+00:00When Less is More: Understanding When Token Filtering Helps and Fails in AI-generated Text Detectionhttps://blog.schoergendorfer.com/post/intervene-temporal-abstraction-interval-based-transformers-for-short-horizon-medSecFeedde2026-09-01T07:47:47.984045+00:00INTERVenE: Temporal-Abstraction-Interval Based Transformers for Short-Horizon Medical Event Predictionhttps://blog.schoergendorfer.com/post/reign-refurbished-embeddings-with-integrated-guidance-networks-for-efficient-conSecFeedde2026-09-01T07:47:47.958183+00:00REIGN: Refurbished Embeddings with Integrated Guidance Networks for Efficient Context-Length Scalinghttps://blog.schoergendorfer.com/post/r2a-learning-persona-policies-through-persona-representation-learning-and-runtimSecFeedde2026-09-01T07:47:47.938343+00:00R$^2$A: Learning Persona Policies Through Persona Representation Learning and Runtime Alignmenthttps://blog.schoergendorfer.com/post/syncrash-a-multi-stage-pipeline-for-zero-shot-accident-detection-and-localizatioSecFeedde2026-09-01T07:47:47.917360+00:00SynCrash: A Multi-Stage Pipeline for Zero-Shot Accident Detection and Localization in Traffic Surveillance Videohttps://blog.schoergendorfer.com/post/a-calibration-audit-of-confidence-in-feed-forward-3d-reconstructionSecFeedde2026-09-01T07:47:47.876661+00:00A Calibration Audit of Confidence in Feed-Forward 3D Reconstructionhttps://blog.schoergendorfer.com/post/medsegbenchmarker-a-raw-count-first-framework-for-controlled-2d-medical-image-seSecFeedde2026-09-01T07:47:47.849576+00:00MedSegBenchmarker: A Raw-Count-First Framework for Controlled 2D Medical Image Segmentation Benchmarkshttps://blog.schoergendorfer.com/post/cost-effective-repository-exploration-for-agentic-issue-localizationSecFeedde2026-09-01T07:32:48.083266+00:00Cost-Effective Repository Exploration for Agentic Issue Localizationhttps://blog.schoergendorfer.com/post/conducting-stylistic-analysis-of-paintings-through-an-art-history-agentSecFeedde2026-09-01T07:32:48.064921+00:00Conducting Stylistic Analysis of Paintings through an Art-History Agenthttps://blog.schoergendorfer.com/post/llmode-aligning-odes-with-llms-via-gated-token-injection-for-irregular-spatio-teSecFeedde2026-09-01T07:32:48.045500+00:00LLMODE: Aligning ODEs with LLMs via Gated Token Injection for Irregular Spatio-Temporal Forecastinghttps://blog.schoergendorfer.com/post/mi-distillation-selecting-from-model-interpolated-instruct-reasoning-data-spectrSecFeedde2026-09-01T07:32:48.028073+00:00MI-Distillation: Selecting from Model-Interpolated Instruct-Reasoning Data Spectrum for Chain-of-Thought Distillationhttps://blog.schoergendorfer.com/post/agenticrag-r1-agentic-reinforcement-learning-with-stack-memory-for-multi-step-reSecFeedde2026-09-01T07:32:48.008469+00:00AgenticRag-R1: Agentic Reinforcement Learning with Stack Memory for Multi-Step Reasoning, Retrieval and Memorizinghttps://blog.schoergendorfer.com/post/cineforge-self-improving-agents-for-long-horizon-video-generationSecFeedde2026-09-01T07:32:47.987412+00:00CineForge: Self-Improving Agents for Long-Horizon Video Generationhttps://blog.schoergendorfer.com/post/memory-first-fact-checking-a-knowledge-graph-grounded-multi-agent-system-for-misSecFeedde2026-09-01T07:32:47.969421+00:00Memory-First Fact-Checking: A Knowledge-Graph-Grounded Multi-Agent System for Misinformation Detectionhttps://blog.schoergendorfer.com/post/forward-deployed-full-stack-engineering-for-autonomous-cloud-mlopsSecFeedde2026-09-01T07:32:47.949621+00:00Forward-Deployed Full-Stack Engineering for Autonomous Cloud MLOpshttps://blog.schoergendorfer.com/post/wide-learning-learning-to-reach-evidenceSecFeedde2026-09-01T07:32:47.927681+00:00Wide Learning: Learning to Reach Evidencehttps://blog.schoergendorfer.com/post/sup-mimic-a-multi-task-clinical-diagnosis-benchmark-for-evaluating-llms-robustneSecFeedde2026-09-01T07:32:47.905195+00:00SUP-MIMIC: A Multi-Task Clinical Diagnosis Benchmark for Evaluating LLMs' Robustness to Contradictory Evidencehttps://blog.schoergendorfer.com/post/hoopmind-a-real-time-neural-game-tree-system-for-opponent-aware-possession-plannSecFeedde2026-09-01T07:32:47.884920+00:00HoopMind: A Real-Time Neural Game-Tree System for Opponent-Aware Possession Planninghttps://blog.schoergendorfer.com/post/physwave-physics-guided-latent-diffusion-models-for-controllable-spatial-audio-gSecFeedde2026-09-01T07:32:47.864152+00:00PhysWave: Physics-Guided Latent Diffusion Models for Controllable Spatial Audio Generationhttps://blog.schoergendorfer.com/post/evaluating-llms-on-conversational-text-to-sql-under-chain-ambiguity-and-intent-dSecFeedde2026-09-01T07:32:47.839875+00:00Evaluating LLMs on Conversational Text-to-SQL under Chain Ambiguity and Intent Drifthttps://blog.schoergendorfer.com/post/agm-achievement-grounded-memory-for-closed-loop-agents-with-frozen-vla-policiesSecFeedde2026-09-01T07:32:47.812818+00:00AGM: Achievement-Grounded Memory for Closed-Loop Agents with Frozen VLA Policieshttps://blog.schoergendorfer.com/post/integrating-adaptive-human-behavior-into-epidemic-models-with-large-language-modSecFeedde2026-09-01T07:32:47.790835+00:00Integrating adaptive human behavior into epidemic models with large language modelshttps://blog.schoergendorfer.com/post/the-emergent-symbolic-structure-of-artificial-neural-networksSecFeedde2026-09-01T07:32:47.769584+00:00The Emergent Symbolic Structure of Artificial Neural Networkshttps://blog.schoergendorfer.com/post/argument-aware-semantic-alignment-of-normative-texts-a-toulmin-based-neuro-symboSecFeedde2026-09-01T07:32:47.751054+00:00Argument-Aware Semantic Alignment of Normative Texts: A Toulmin-Based Neuro-Symbolic Approachhttps://blog.schoergendorfer.com/post/on-the-plasticity-collapse-in-continual-machine-unlearningSecFeedde2026-09-01T07:32:47.727851+00:00On the Plasticity Collapse in Continual Machine Unlearninghttps://blog.schoergendorfer.com/post/denoising-as-projection-constrained-optimization-with-gradient-guided-diffusionSecFeedde2026-09-01T07:32:47.701074+00:00Denoising as Projection: Constrained Optimization with Gradient-Guided Diffusionhttps://blog.schoergendorfer.com/post/generalizable-multi-agent-planning-from-signal-temporal-logic-specifications-viaSecFeedde2026-09-01T07:32:47.676418+00:00Generalizable Multi-Agent Planning from Signal Temporal Logic Specifications via Diffusionhttps://blog.schoergendorfer.com/post/applications-of-risk-science-to-ai-fairness-evaluation-principles-challenges-andSecFeedde2026-09-01T07:17:45.971166+00:00Applications of Risk Science to AI Fairness Evaluation: Principles, Challenges, and Best Practiceshttps://blog.schoergendorfer.com/post/muddle-measuring-understanding-of-documents-under-distractor-and-length-effectsSecFeedde2026-09-01T07:17:45.950995+00:00MUDDLE: Measuring Understanding of Documents under Distractor and Length Effectshttps://blog.schoergendorfer.com/post/knowledge-distillation-under-teacher-misspecification-an-order-parameter-analysiSecFeedde2026-09-01T07:17:45.932222+00:00Knowledge Distillation under Teacher Misspecification: An Order-Parameter Analysis of the Gap between Teacher Mimicry and Task Performancehttps://blog.schoergendorfer.com/post/chain-of-thought-faithfulness-of-reasoning-models-varies-with-where-and-how-prefSecFeedde2026-09-01T07:17:45.911335+00:00Chain-of-Thought Faithfulness of Reasoning Models Varies with Where and How Preference Cues Are Deliveredhttps://blog.schoergendorfer.com/post/benchmark-contamination-a-taxonomy-organized-by-defeated-mitigationSecFeedde2026-09-01T07:17:45.891026+00:00Benchmark Contamination: A Taxonomy Organized by Defeated Mitigationhttps://blog.schoergendorfer.com/post/reference-grafting-matches-fine-tuning-at-eliciting-sandbagged-capabilitiesSecFeedde2026-09-01T07:17:45.862362+00:00Reference-Grafting Matches Fine-Tuning at Eliciting Sandbagged Capabilitieshttps://blog.schoergendorfer.com/post/ai-can-be-easily-persuaded-in-clinical-decision-makingSecFeedde2026-09-01T07:17:45.840925+00:00AI Can Be Easily Persuaded in Clinical Decision Makinghttps://blog.schoergendorfer.com/post/ss-esoap-self-scaled-adaptive-preconditioning-for-physics-informed-learningSecFeedde2026-09-01T07:17:45.821832+00:00SS-ESOAP: Self-Scaled Adaptive Preconditioning for Physics-Informed Learninghttps://blog.schoergendorfer.com/post/does-latent-planning-survive-point-clouds-action-conditioned-jepa-world-models-fSecFeedde2026-09-01T07:17:45.802066+00:00Does Latent Planning Survive Point Clouds? Action-Conditioned JEPA World Models for Geometric Observationshttps://blog.schoergendorfer.com/post/polis-3d-self-supervision-at-city-scaleSecFeedde2026-09-01T07:17:45.780690+00:00Polis: 3D Self-Supervision at City Scalehttps://blog.schoergendorfer.com/post/scalable-clinical-data-infrastructure-and-comparative-ml-evaluation-for-hospitalSecFeedde2026-09-01T07:17:45.756224+00:00Scalable Clinical Data Infrastructure and Comparative ML Evaluation for Hospitalisation Risk Prediction in Elderly Patients with Multiple Long-Term Conditions using CPRDhttps://blog.schoergendorfer.com/post/safe-to-resume-breaking-execution-continuity-of-agent-execution-via-rollbackSecFeedde2026-09-01T07:17:45.709260+00:00Safe to Resume? Breaking Execution Continuity of Agent Execution via Rollbackhttps://blog.schoergendorfer.com/post/arabic-safety-alignment-as-selective-refusal-an-empirical-study-of-sft-dpo-and-gSecFeedde2026-09-01T07:17:45.686039+00:00Arabic Safety Alignment as Selective Refusal: An Empirical Study of SFT, DPO, and Guard Calibrationhttps://blog.schoergendorfer.com/post/stagewell-a-process-aligned-chinese-corpus-for-positive-psychology-support-dialoSecFeedde2026-09-01T07:17:45.664182+00:00StageWell: A Process-Aligned Chinese Corpus for Positive-Psychology Support Dialoguehttps://blog.schoergendorfer.com/post/sge-semantically-guided-exploration-for-unstructured-environments-via-image-spacSecFeedde2026-09-01T07:17:45.641602+00:00SGE: Semantically-Guided Exploration for Unstructured Environments via Image-Space Waypoint Samplinghttps://blog.schoergendorfer.com/post/hyper3-clip-hierarchy-conditioned-hyperbolic-vision-language-trainingSecFeedde2026-09-01T07:17:45.607116+00:00Hyper3-CLIP: Hierarchy-Conditioned Hyperbolic Vision-Language Traininghttps://blog.schoergendorfer.com/post/super-library-agent-joint-generation-and-maintenance-of-multiple-applications-beSecFeedde2026-09-01T07:17:45.584618+00:00Super Library Agent: Joint Generation and Maintenance of Multiple Applications Beyond the Single Codebasehttps://blog.schoergendorfer.com/post/evaluating-llm-based-ai-agents-integrated-with-materials-synthesis-tools-the-casSecFeedde2026-09-01T07:17:45.559248+00:00Evaluating LLM-based AI agents integrated with materials synthesis tools: the case of atomic layer depositionhttps://blog.schoergendorfer.com/post/improving-randomized-metric-distortion-to-23282SecFeedde2026-09-01T07:17:45.532991+00:00Improving Randomized Metric Distortion to 2.3282https://blog.schoergendorfer.com/post/detecting-and-repairing-hallucinations-in-retrieval-augmented-generationSecFeedde2026-09-01T07:03:19.983699+00:00Detecting and Repairing Hallucinations in Retrieval-Augmented Generationhttps://blog.schoergendorfer.com/post/learning-simple-test-time-environments-for-llm-web-agentsSecFeedde2026-09-01T07:03:19.957176+00:00Learning Simple Test-Time Environments for LLM Web Agentshttps://blog.schoergendorfer.com/post/when-do-larger-batches-help-scale-llm-reinforcement-learningSecFeedde2026-09-01T07:03:19.932229+00:00When Do Larger Batches Help Scale LLM Reinforcement Learning?https://blog.schoergendorfer.com/post/aoi-net-structural-face-aoi-guided-eye-gaze-track-representation-learning-for-auSecFeedde2026-09-01T07:03:19.909794+00:00AOI-Net: Structural Face AOI-Guided Eye-Gaze Track Representation Learning for Autism Spectrum Disorder Detectionhttps://blog.schoergendorfer.com/post/ragdiffusion-from-macro-retrieval-to-micro-fidelity-alignment-for-garment-generaSecFeedde2026-09-01T07:03:19.886684+00:00RAGDiffusion++: From Macro-Retrieval to Micro-Fidelity Alignment for Garment Generationhttps://blog.schoergendorfer.com/post/shadowbench-toward-reliable-automatic-evaluation-of-semantic-alignment-in-autofoSecFeedde2026-09-01T07:03:19.864604+00:00SHADOWBENCH: Toward Reliable Automatic Evaluation of Semantic Alignment in Autoformalizationhttps://blog.schoergendorfer.com/post/measurement-validity-in-llm-cultural-alignmentSecFeedde2026-09-01T07:03:19.842800+00:00Measurement Validity in LLM Cultural Alignmenthttps://blog.schoergendorfer.com/post/adaptive-multi-branching-for-shallow-decision-tree-inductionSecFeedde2026-09-01T07:03:19.819734+00:00Adaptive Multi-Branching for Shallow Decision Tree Inductionhttps://blog.schoergendorfer.com/post/agricam-a-track-mounted-crop-pollination-monitoring-robotSecFeedde2026-09-01T07:03:19.772616+00:00AGRICAM: A Track-Mounted Crop Pollination Monitoring Robothttps://blog.schoergendorfer.com/post/background-free-objectness-learning-for-class-agnostic-detectionSecFeedde2026-09-01T07:03:19.751020+00:00Background-Free Objectness Learning for Class-Agnostic Detectionhttps://blog.schoergendorfer.com/post/agentlogs-a-dataset-for-opening-the-black-box-of-githubs-cloud-agentSecFeedde2026-09-01T07:03:19.730192+00:00AgentLogs: A Dataset for Opening the Black Box of GitHub's Cloud Agenthttps://blog.schoergendorfer.com/post/pokaitrainer-scaling-belief-state-search-to-competitive-pokemon-vgcSecFeedde2026-09-01T07:03:19.709799+00:00PokaiTrainer: Scaling Belief-State Search to Competitive Pok\'emon VGChttps://blog.schoergendorfer.com/post/locked-at-the-entrance-open-inside-where-rlvr-narrows-the-solution-spaceSecFeedde2026-09-01T07:03:19.679984+00:00Locked at the Entrance, Open Inside: Where RLVR Narrows the Solution Spacehttps://blog.schoergendorfer.com/post/taal-mitigating-early-beam-pruning-in-generative-recommendation-via-temporal-autSecFeedde2026-09-01T07:03:19.660999+00:00TAAL: Mitigating Early Beam Pruning in Generative Recommendation via Temporal Autoregressive Alignmenthttps://blog.schoergendorfer.com/post/subtraction-based-tumor-segmentation-and-lesion-centered-pcr-prediction-for-theSecFeedde2026-09-01T07:03:19.640055+00:00Subtraction-Based Tumor Segmentation and Lesion-Centered pCR Prediction for the MAMA-MIA Challengehttps://blog.schoergendorfer.com/post/training-free-hidden-state-refinement-for-flow-matching-image-generatorsSecFeedde2026-09-01T07:03:19.619112+00:00Training-Free Hidden-State Refinement for Flow-Matching Image Generatorshttps://blog.schoergendorfer.com/post/starlinc-satellite-trail-artifact-removal-using-inter-frame-correlationSecFeedde2026-09-01T07:03:19.598622+00:00STARLINC: Satellite Trail Artifact Removal using Inter-Frame Correlationhttps://blog.schoergendorfer.com/post/not-the-same-protector-deployment-dependent-protective-intervention-in-llmsSecFeedde2026-09-01T07:03:19.570082+00:00Not the Same Protector: Deployment-Dependent Protective Intervention in LLMshttps://blog.schoergendorfer.com/post/cgfm-nav-cognitive-graph-field-memory-for-semantic-guided-lifelong-multimodal-emSecFeedde2026-09-01T06:47:45.668711+00:00CGFM-Nav: Cognitive Graph-Field Memory for Semantic-Guided Lifelong Multimodal Embodied Navigationhttps://blog.schoergendorfer.com/post/auditing-and-mitigating-privacy-leakage-in-cloud-edge-collaborative-decodingSecFeedde2026-09-01T06:47:45.649625+00:00Auditing and Mitigating Privacy Leakage in Cloud-Edge Collaborative Decodinghttps://blog.schoergendorfer.com/post/development-of-an-autonomous-ai-coding-agent-using-monte-carlo-tree-search-mctsSecFeedde2026-09-01T06:47:45.628147+00:00Development of an Autonomous AI Coding Agent using Monte Carlo Tree Search (MCTS) and Gemini LLM Frameworkshttps://blog.schoergendorfer.com/post/not-all-or-none-dynamic-construction-of-target-aware-memory-graph-for-conversatiSecFeedde2026-09-01T06:47:45.607900+00:00Not All or None: Dynamic Construction of Target-aware Memory Graph for Conversational Stance Detectionhttps://blog.schoergendorfer.com/post/docintent-answerability-guided-agentic-restoration-for-real-world-document-visuaSecFeedde2026-09-01T06:47:45.590043+00:00DocIntent: Answerability-Guided Agentic Restoration for Real-World Document Visual Question Answeringhttps://blog.schoergendorfer.com/post/a-unifying-perspective-on-language-model-representations-from-filler-role-structSecFeedde2026-09-01T06:47:45.572385+00:00A Unifying Perspective on Language Model Representations: From Filler-Role Structure to Mechanistic Interpretabilityhttps://blog.schoergendorfer.com/post/flow-jepa-flow-matching-for-robust-latent-dynamics-in-jepa-world-modelsSecFeedde2026-09-01T06:47:45.554307+00:00Flow-JEPA: Flow Matching for Robust Latent Dynamics in JEPA World Modelshttps://blog.schoergendorfer.com/post/rose-slam-robust-semantic-aware-gaussian-splatting-slam-from-dynamic-monocular-vSecFeedde2026-09-01T06:47:45.535207+00:00RoSe-SLAM: Robust Semantic-Aware Gaussian Splatting SLAM from Dynamic Monocular Videoshttps://blog.schoergendorfer.com/post/the-illusion-of-replacement-rethinking-specialized-machine-learning-models-in-thSecFeedde2026-09-01T06:47:45.517070+00:00The Illusion of Replacement: Rethinking Specialized Machine Learning Models in the Foundation Model Erahttps://blog.schoergendorfer.com/post/free-speech-and-artificial-intelligenceSecFeedde2026-09-01T06:47:45.497457+00:00Free Speech and Artificial Intelligencehttps://blog.schoergendorfer.com/post/the-information-geometry-of-product-reference-discrete-diffusion-interaction-groSecFeedde2026-09-01T06:47:45.479850+00:00The information geometry of product-reference discrete diffusion: Interaction growth complexity and optimal schedulinghttps://blog.schoergendorfer.com/post/diagnose-then-refine-a-closed-loop-tts-system-with-audiollm-guided-correctionSecFeedde2026-09-01T06:47:45.462482+00:00Diagnose, Then Refine: A Closed-Loop TTS System with AudioLLM-Guided Correctionhttps://blog.schoergendorfer.com/post/from-the-loss-landscape-to-diverse-feature-learning-in-neural-networksSecFeedde2026-09-01T06:47:45.439488+00:00From the Loss Landscape to Diverse Feature Learning in Neural Networkshttps://blog.schoergendorfer.com/post/activeaugment-online-active-learning-for-augmentation-selection-in-deep-learningSecFeedde2026-09-01T06:47:45.403711+00:00ActiveAugment: Online Active Learning for Augmentation Selection in Deep Learninghttps://blog.schoergendorfer.com/post/moving-the-mean-toward-the-known-good-not-beyond-it-what-inference-time-intervenSecFeedde2026-09-01T06:47:45.377614+00:00Moving the Mean Toward the Known Good, Not Beyond It: What Inference-Time Interventions and Weight Consolidation Buy in Open-Ended Generationhttps://blog.schoergendorfer.com/post/structured-state-reconciliation-for-human-ai-task-handoverSecFeedde2026-09-01T06:47:45.358731+00:00Structured State Reconciliation for Human-AI Task Handoverhttps://blog.schoergendorfer.com/post/hybrid-offline-online-multi-agent-decision-transformers-for-wireless-resource-maSecFeedde2026-09-01T06:47:45.331885+00:00Hybrid Offline-Online Multi-Agent Decision Transformers for Wireless Resource Managementhttps://blog.schoergendorfer.com/post/no-detectable-change-in-side-level-wer-from-prompt-level-context-a-preregisteredSecFeedde2026-09-01T06:47:45.303072+00:00No Detectable Change in Side-Level WER from Prompt-Level Context: A Preregistered Ablation on a Production Oral-History Corpushttps://blog.schoergendorfer.com/post/the-halt-vector-internalizing-a-causal-steering-intervention-for-efficient-reasoSecFeedde2026-09-01T06:32:48.378519+00:00The Halt Vector: Internalizing a Causal Steering Intervention for Efficient Reasoninghttps://blog.schoergendorfer.com/post/equivariant-sheaf-neural-networks-learning-geometric-transport-on-graphsSecFeedde2026-09-01T06:32:48.353974+00:00Equivariant Sheaf Neural Networks: Learning Geometric Transport on Graphshttps://blog.schoergendorfer.com/post/a-rigor-matched-audit-of-periodic-step-layer-skipping-for-efficient-llm-inferencSecFeedde2026-09-01T06:32:48.329010+00:00A rigor-matched audit of periodic-step layer skipping for efficient llm inference: conflayers versus swift, with a supplemental analysis of trained routing alternativeshttps://blog.schoergendorfer.com/post/toward-postural-state-classification-in-immersive-vr-with-multimodal-data-and-exSecFeedde2026-09-01T06:32:48.306192+00:00Toward Postural State Classification in Immersive VR with Multimodal Data and Explainability Analysishttps://blog.schoergendorfer.com/post/curvature-cryptanalysis-of-smooth-transformer-feed-forward-networksSecFeedde2026-09-01T06:32:48.284881+00:00Curvature Cryptanalysis of Smooth Transformer Feed-Forward Networkshttps://blog.schoergendorfer.com/post/delegating-before-learning-where-generative-ai-sits-in-students-professional-comSecFeedde2026-09-01T06:32:48.266153+00:00Delegating Before Learning: Where Generative AI Sits in Students' Professional Communicationhttps://blog.schoergendorfer.com/post/representation-learning-with-quantum-signal-processingSecFeedde2026-09-01T06:32:48.243546+00:00Representation Learning with Quantum Signal Processinghttps://blog.schoergendorfer.com/post/figmirror-ground-it-code-it-plot-itSecFeedde2026-09-01T06:32:48.208295+00:00FigMirror: Ground It, Code It, Plot Ithttps://blog.schoergendorfer.com/post/the-reach-of-a-verification-tool-decides-its-value-a-controlled-study-of-verificSecFeedde2026-09-01T06:32:48.190164+00:00The reach of a verification tool decides its value: A controlled study of verification surface, artifact quality, and cost in AI coding agentshttps://blog.schoergendorfer.com/post/a-large-scale-evaluation-of-text-guided-models-for-facial-editingSecFeedde2026-09-01T06:32:48.168448+00:00A Large-scale Evaluation of Text-guided Models for Facial Editinghttps://blog.schoergendorfer.com/post/astra-agentic-system-for-ticket-resolution-and-analysisSecFeedde2026-09-01T06:32:48.148824+00:00ASTRA - Agentic System for Ticket Resolution and Analysishttps://blog.schoergendorfer.com/post/robophys-3d-a-comprehensive-embodied-world-model-evaluation-via-3d-reconstructioSecFeedde2026-09-01T06:32:48.114049+00:00RoboPhys-3D: A Comprehensive Embodied World Model Evaluation via 3D Reconstructionhttps://blog.schoergendorfer.com/post/defending-wearable-vlms-against-private-attribute-inferenceSecFeedde2026-09-01T06:32:48.077592+00:00Defending Wearable VLMs Against Private Attribute Inferencehttps://blog.schoergendorfer.com/post/greenbench-benchmarking-energy-efficiency-and-carbon-footprint-of-open-source-llSecFeedde2026-09-01T06:32:48.055134+00:00GreenBench: Benchmarking Energy Efficiency and Carbon Footprint of Open-Source LLM Inference on Apple Siliconhttps://blog.schoergendorfer.com/post/test-time-scaling-for-scientific-equation-discoverySecFeedde2026-09-01T06:32:48.034645+00:00Test-Time Scaling for Scientific Equation Discoveryhttps://blog.schoergendorfer.com/post/can-large-language-models-identify-meaningful-touchpoints-in-conversion-attributSecFeedde2026-09-01T06:32:48.013862+00:00Can Large Language Models Identify Meaningful Touchpoints in Conversion Attribution?https://blog.schoergendorfer.com/post/cross-lingual-transfer-in-tulu-legal-comprehension-script-dependent-improvementSecFeedde2026-09-01T06:32:47.995169+00:00Cross Lingual Transfer in Tulu Legal Comprehension: Script-Dependent Improvement and RAG-Induced Knowledge Conflicthttps://blog.schoergendorfer.com/post/redesigning-and-auditing-deep-research-writing-for-faithful-reportsSecFeedde2026-09-01T06:17:47.932273+00:00Redesigning and Auditing Deep Research Writing for Faithful Reportshttps://blog.schoergendorfer.com/post/do-mllms-really-understand-low-resource-khmer-documents-a-pilot-study-on-khmer-dSecFeedde2026-09-01T06:17:47.884755+00:00Do MLLMs Really Understand Low-Resource Khmer Documents? A Pilot Study on Khmer Document VQAhttps://blog.schoergendorfer.com/post/pause-editable-strategy-artifacts-for-long-form-cultural-story-adaptationSecFeedde2026-09-01T06:17:47.867622+00:00PAUSE: Editable Strategy Artifacts for Long-Form Cultural Story Adaptationhttps://blog.schoergendorfer.com/post/enabling-proactive-spoken-turns-via-a-generalized-style-aware-full-duplex-framewSecFeedde2026-09-01T06:17:47.848621+00:00Enabling Proactive Spoken Turns via a Generalized Style-Aware Full-Duplex Frameworkhttps://blog.schoergendorfer.com/post/intelligent-identification-and-repair-of-design-defects-in-bim-via-domain-specifSecFeedde2026-09-01T06:17:47.828239+00:00Intelligent Identification and Repair of Design Defects in BIM via Domain-Specific Large Language Modelshttps://blog.schoergendorfer.com/post/do-large-language-models-scrutinise-what-they-review-a-multimodal-audit-of-scoriSecFeedde2026-09-01T06:17:47.803651+00:00Do large language models scrutinise what they review? A multimodal audit of scoring calibration, error detection, and author-identity effectshttps://blog.schoergendorfer.com/post/ma-rag-multi-agent-retrieval-augmented-generation-for-query-driven-summarizationSecFeedde2026-09-01T06:17:47.765817+00:00MA-RAG: Multi-Agent Retrieval-Augmented Generation for Query-Driven Summarization of Longitudinal Parkinson's Disease Assessmentshttps://blog.schoergendorfer.com/post/looking-again-measuring-sycophancy-in-the-reasoning-chains-of-multimodal-modelsSecFeedde2026-09-01T06:17:47.744917+00:00Looking Again: Measuring Sycophancy in the Reasoning Chains of Multimodal Models Under Pressurehttps://blog.schoergendorfer.com/post/puffer-incremental-fuzzy-deduplication-for-continuously-evolving-corporaSecFeedde2026-09-01T06:17:47.723077+00:00PUFFER: Incremental Fuzzy Deduplication for Continuously Evolving Corporahttps://blog.schoergendorfer.com/post/from-genai-virtual-patient-dialogue-logs-to-teacher-interpretable-process-evidenSecFeedde2026-09-01T06:17:47.702582+00:00From GenAI Virtual Patient Dialogue Logs to Teacher-Interpretable Process Evidence: A Learning Analytics Study in Higher Educationhttps://blog.schoergendorfer.com/post/stageet-stage-wise-typed-edit-tagging-for-grammatical-error-correction-with-arabSecFeedde2026-09-01T06:17:47.683938+00:00STAGEET: Stage-wise Typed Edit Tagging for Grammatical Error Correction with Arabic as a Case Studyhttps://blog.schoergendorfer.com/post/gurukul-ai-an-interactive-ai-driven-educational-platform-for-indian-education-sySecFeedde2026-09-01T06:17:47.663742+00:00Gurukul AI: An Interactive AI-Driven Educational Platform for Indian Education Systemhttps://blog.schoergendorfer.com/post/parametric-multimodal-user-memory-storing-what-captions-cannot-carrySecFeedde2026-09-01T06:17:47.645392+00:00Parametric Multimodal User Memory: Storing What Captions Cannot Carryhttps://blog.schoergendorfer.com/post/nlp-driven-knowledge-extraction-and-thematic-classification-of-translated-ancienSecFeedde2026-09-01T06:17:47.627442+00:00NLP-Driven Knowledge Extraction and Thematic Classification of Translated Ancient Indian Medical Textshttps://blog.schoergendorfer.com/post/powerslider-exploiting-phase-asymmetry-for-llm-serving-under-demand-responseSecFeedde2026-09-01T06:17:47.608294+00:00PowerSlider: Exploiting Phase Asymmetry for LLM Serving under Demand Responsehttps://blog.schoergendorfer.com/post/ontoaligner-ensemble-voting-based-fusion-across-heterogeneous-ontology-alignmentSecFeedde2026-09-01T06:17:47.561717+00:00OntoAligner-Ensemble: Voting-Based Fusion across Heterogeneous Ontology Alignment Techniqueshttps://blog.schoergendorfer.com/post/when-does-bigger-help-a-controlled-study-of-llm-scale-for-ontology-learningSecFeedde2026-09-01T06:02:32.031889+00:00When Does Bigger Help? A Controlled Study of LLM Scale for Ontology Learninghttps://blog.schoergendorfer.com/post/bloom-wilt-logit-tilting-for-behaviour-elicitation-in-automated-llm-auditingSecFeedde2026-09-01T06:02:32.009103+00:00BLOOM-WILT: Logit Tilting for Behaviour Elicitation in Automated LLM Auditinghttps://blog.schoergendorfer.com/post/cross-regional-grapevine-cold-hardiness-prediction-via-learned-multimodal-latentSecFeedde2026-09-01T06:02:31.983652+00:00Cross-Regional Grapevine Cold Hardiness Prediction via Learned Multimodal Latent Representationshttps://blog.schoergendorfer.com/post/token-efficient-data-reasoning-agents-via-adaptive-structuring-of-unstructured-dSecFeedde2026-09-01T06:02:31.958275+00:00Token-Efficient Data Reasoning Agents via Adaptive Structuring of Unstructured Datahttps://blog.schoergendorfer.com/post/reconciling-process-supervision-with-outcome-based-credit-in-agentic-policy-optiSecFeedde2026-09-01T06:02:31.933315+00:00Reconciling Process Supervision with Outcome-Based Credit in Agentic Policy Optimizationhttps://blog.schoergendorfer.com/post/scaling-large-reasoning-models-beyond-human-supervision-a-path-toward-superintelSecFeedde2026-09-01T06:02:31.907379+00:00Scaling Large Reasoning Models beyond Human Supervision: A Path toward Superintelligencehttps://blog.schoergendorfer.com/post/mnist-pro-mnist-is-back-as-a-partially-observable-world-for-ai-agentsSecFeedde2026-09-01T06:02:31.866088+00:00MNIST-PRO: MNIST is Back as a Partially Observable World for AI Agentshttps://blog.schoergendorfer.com/post/measure-before-you-manage-evaluating-agent-working-memory-in-coding-agentsSecFeedde2026-09-01T06:02:31.846325+00:00Measure Before You Manage: Evaluating Agent Working Memory in Coding Agentshttps://blog.schoergendorfer.com/post/learning-action-models-with-conditional-and-quantified-effects-via-uncertainty-gSecFeedde2026-09-01T06:02:31.824760+00:00Learning Action Models with Conditional and Quantified Effects via Uncertainty-Guided Explorationhttps://blog.schoergendorfer.com/post/carve-verified-expansion-for-variable-length-generation-in-diffusion-language-moSecFeedde2026-09-01T06:02:31.804907+00:00CARVE: Verified Expansion for Variable-Length Generation in Diffusion Language Modelshttps://blog.schoergendorfer.com/post/responsible-integration-of-ai-in-cancer-genomics-barriers-risks-and-pathways-toSecFeedde2026-09-01T06:02:31.775581+00:00Responsible Integration of AI in Cancer Genomics: Barriers, Risks, and Pathways to Trustworthy Clinical Translationhttps://blog.schoergendorfer.com/post/caer-causal-action-effect-reweighting-for-world-model-trainingSecFeedde2026-09-01T06:02:31.755983+00:00CAER: Causal Action Effect Reweighting for World Model Traininghttps://blog.schoergendorfer.com/post/predicting-residential-rents-in-dakar-using-machine-learningSecFeedde2026-09-01T06:02:31.734343+00:00Predicting Residential Rents in Dakar Using Machine Learninghttps://blog.schoergendorfer.com/post/vfr-audit-verdict-level-reliability-for-fairness-audits-in-hospital-length-of-stSecFeedde2026-09-01T06:02:31.708474+00:00VFR-Audit: Verdict-Level Reliability for Fairness Audits in Hospital Length-of-Stay Predictionhttps://blog.schoergendorfer.com/post/hsrm-hidden-state-reward-models-for-test-time-verificationSecFeedde2026-09-01T06:02:31.685356+00:00HSRM: Hidden-State Reward Models for Test-Time Verificationhttps://blog.schoergendorfer.com/post/skillzip-pro-execution-aware-dynamic-compression-of-progressively-loaded-skillsSecFeedde2026-09-01T06:02:31.659813+00:00SkillZip Pro: Execution-Aware Dynamic Compression of Progressively Loaded Skills for Self-Evolving Agentshttps://blog.schoergendorfer.com/post/which-rules-matter-now-policy-centroid-routing-before-an-intelligent-system-actsSecFeedde2026-09-01T06:02:31.634143+00:00Which Rules Matter Now? Policy-Centroid Routing Before an Intelligent System Actshttps://blog.schoergendorfer.com/post/autoregressive-mosaics-probing-2d-spatial-reasoning-in-text-only-language-modelsSecFeedde2026-09-01T06:02:31.611440+00:00Autoregressive Mosaics: Probing 2D Spatial Reasoning in Text-Only Language Modelshttps://blog.schoergendorfer.com/post/multimodal-adaptive-expert-selection-with-text-routing-and-ordinal-prototype-optSecFeedde2026-09-01T06:02:31.586569+00:00Multimodal Adaptive Expert Selection with Text Routing and Ordinal Prototype Optimization for Sentiment Analysishttps://blog.schoergendorfer.com/post/atlas-dual-horizon-diagnostic-evaluation-for-industrial-tool-use-agentsSecFeedde2026-09-01T05:47:28.991518+00:00ATLAS: Dual-Horizon Diagnostic Evaluation for Industrial Tool-Use Agentshttps://blog.schoergendorfer.com/post/medagent-r1-faithfulness-aware-reinforcement-learning-for-evidence-grounded-mediSecFeedde2026-09-01T05:47:28.959375+00:00MedAgent-R1: Faithfulness-Aware Reinforcement Learning for Evidence-Grounded Medical Reasoninghttps://blog.schoergendorfer.com/post/hirs-agent-a-hierarchical-multi-agent-system-for-reliable-long-horizon-remote-seSecFeedde2026-09-01T05:47:28.936682+00:00HiRS-Agent: A Hierarchical Multi-Agent System for Reliable Long-Horizon Remote Sensing Task Solvinghttps://blog.schoergendorfer.com/post/pykeen-nsx-a-modular-framework-for-static-dynamic-and-schema-aware-negative-sampSecFeedde2026-09-01T05:47:28.915058+00:00PyKEEN-NSX: A Modular Framework for Static, Dynamic and Schema-Aware Negative Sampling in PyKEENhttps://blog.schoergendorfer.com/post/geometry-of-divergence-tracking-hidden-state-trajectories-for-adaptive-multi-turSecFeedde2026-09-01T05:47:28.892569+00:00Geometry of Divergence: Tracking Hidden-State Trajectories for Adaptive Multi-Turn Reasoninghttps://blog.schoergendorfer.com/post/automated-testing-of-llm-based-post-hoc-explainers-using-model-checking-as-an-orSecFeedde2026-09-01T05:47:28.872587+00:00Automated Testing of LLM-Based Post Hoc Explainers Using Model Checking as an Oraclehttps://blog.schoergendorfer.com/post/turingllm-efficiently-scaling-foundation-models-toward-physical-aiSecFeedde2026-09-01T05:47:28.849477+00:00TuringLLM: Efficiently Scaling Foundation Models Toward Physical AIhttps://blog.schoergendorfer.com/post/adapath-query-adaptive-path-finding-via-path-bank-for-multi-hop-implicit-biomediSecFeedde2026-09-01T05:47:28.827873+00:00AdaPath: Query-Adaptive Path-Finding via Path-Bank for Multi-Hop Implicit Biomedical KGQAhttps://blog.schoergendorfer.com/post/garmentweaver-schema-aware-structured-synthesis-for-multimodal-sewing-patternsSecFeedde2026-09-01T05:47:28.803579+00:00GarmentWeaver: Schema-Aware Structured Synthesis for Multimodal Sewing Patternshttps://blog.schoergendorfer.com/post/designing-an-auditable-llm-supported-workflow-for-qualitative-thematic-analysisSecFeedde2026-09-01T05:47:28.781471+00:00Designing an Auditable LLM-Supported Workflow for Qualitative Thematic Analysishttps://blog.schoergendorfer.com/post/learning-assisted-congestion-aware-route-scheduling-for-semiconductor-fab-materiSecFeedde2026-09-01T05:47:28.742901+00:00Learning-Assisted Congestion-Aware Route Scheduling for Semiconductor Fab Material Control Systemshttps://blog.schoergendorfer.com/post/sciencearena-benchmarking-llms-on-latest-scientific-olympiad-competitionsSecFeedde2026-09-01T05:47:28.721681+00:00ScienceArena: Benchmarking LLMs on Latest Scientific Olympiad Competitionshttps://blog.schoergendorfer.com/post/chase-how-content-ecosystems-are-reshaped-when-ranking-is-the-only-targetSecFeedde2026-09-01T05:47:28.677235+00:00CHASE: How Content Ecosystems Are Reshaped When Ranking Is the Only Targethttps://blog.schoergendorfer.com/post/evoskill-injection-red-teaming-autonomous-skill-generation-and-evolution-in-selfSecFeedde2026-09-01T05:47:28.655414+00:00EvoSkill Injection: Red-Teaming Autonomous Skill Generation and Evolution in Self-Evolving Agentshttps://blog.schoergendorfer.com/post/from-metaheuristics-to-exact-methods-a-cp-sat-approach-for-multi-objective-healtSecFeedde2026-09-01T05:47:28.630677+00:00From Metaheuristics to Exact Methods: A CP-SAT Approach for Multi-Objective Healthcare Workforce Schedulinghttps://blog.schoergendorfer.com/post/derelab-probing-defeasible-reasoning-and-confirmation-bias-in-llms-with-a-generaSecFeedde2026-09-01T05:47:28.608499+00:00DERELAB: Probing Defeasible Reasoning and Confirmation Bias in LLMs with a Generative Benchmarkhttps://blog.schoergendorfer.com/post/dense-clinical-contrasts-enhance-medical-knowledge-updating-in-large-language-moSecFeedde2026-09-01T05:47:28.585895+00:00Dense Clinical Contrasts Enhance Medical Knowledge Updating in Large Language Modelshttps://blog.schoergendorfer.com/post/scaffolding-foundation-models-into-physical-world-agents-pushes-the-frontier-ofSecFeedde2026-09-01T05:47:28.563062+00:00Scaffolding Foundation Models into Physical-World Agents Pushes the Frontier of Long-Horizon Navigationhttps://blog.schoergendorfer.com/post/augmenting-human-performance-with-an-xr-agent-learning-from-online-behavior-andSecFeedde2026-09-01T05:32:30.175034+00:00Augmenting Human Performance with an XR Agent Learning from Online Behavior and BCI Evidencehttps://blog.schoergendorfer.com/post/will-the-user-ever-know-covert-indirect-prompt-injection-on-tool-using-llm-agentSecFeedde2026-09-01T05:32:30.152775+00:00Will the User Ever Know? Covert Indirect Prompt Injection on Tool-Using LLM Agentshttps://blog.schoergendorfer.com/post/co-annotator-expert-distilled-vit-and-vlm-for-visual-and-documentation-guidanceSecFeedde2026-09-01T05:32:30.132629+00:00Co-Annotator: Expert-Distilled ViT and VLM for Visual and Documentation Guidance in Age-Related Macular Degenerationhttps://blog.schoergendorfer.com/post/answer-probing-guided-search-for-diverse-solution-exploration-of-llmsSecFeedde2026-09-01T05:32:30.114921+00:00Answer Probing-Guided Search for Diverse Solution Exploration of LLMshttps://blog.schoergendorfer.com/post/ignorance-or-incompetence-constructing-knowledge-gated-verifiable-tasks-for-llmSecFeedde2026-09-01T05:32:30.095477+00:00Ignorance or Incompetence? Constructing Knowledge-Gated, Verifiable Tasks for LLM Agentshttps://blog.schoergendorfer.com/post/simcraft-distilling-remote-sensing-agents-via-synthetic-trajectories-and-contextSecFeedde2026-09-01T05:32:30.074028+00:00SimCRAFT: Distilling Remote Sensing Agents via Synthetic Trajectories and Contextual Retrieval-Augmented Fine-Tuninghttps://blog.schoergendorfer.com/post/generating-workflow-dags-from-natural-language-with-non-reasoning-llmsSecFeedde2026-09-01T05:32:30.051657+00:00Generating Workflow DAGs from Natural Language with Non-Reasoning LLMshttps://blog.schoergendorfer.com/post/rethinking-the-test-time-prompt-tuning-objective-from-the-perspective-of-calibraSecFeedde2026-09-01T05:32:29.978625+00:00Rethinking the Test-Time Prompt Tuning Objective from the Perspective of Calibrationhttps://blog.schoergendorfer.com/post/lamoc-loss-aware-modular-compression-for-llmsSecFeedde2026-09-01T05:32:29.960214+00:00LaMoC: Loss-Aware Modular Compression for LLMshttps://blog.schoergendorfer.com/post/spark-skeleton-guided-reasoning-synthesis-from-large-scale-scientific-literatureSecFeedde2026-09-01T05:32:29.939522+00:00SPARK: Skeleton-Guided Reasoning Synthesis from Large-Scale Scientific Literaturehttps://blog.schoergendorfer.com/post/favor-llm-based-agentic-framework-for-factor-mining-via-empirical-validationSecFeedde2026-09-01T05:32:29.919665+00:00FaVOR: LLM-Based Agentic Framework for Factor Mining via Empirical Validationhttps://blog.schoergendorfer.com/post/ax-k2-technical-reportSecFeedde2026-09-01T05:32:29.897695+00:00A.X K2 Technical Reporthttps://blog.schoergendorfer.com/post/vera-authority-preserving-edge-revocation-for-federated-ai-agent-workflowsSecFeedde2026-09-01T05:32:29.878499+00:00VERA: Authority-Preserving Edge Revocation for Federated AI-Agent Workflowshttps://blog.schoergendorfer.com/post/mitigating-over-optimization-in-prm-guided-search-in-mathematical-reasoning-by-oSecFeedde2026-09-01T05:32:29.858694+00:00Mitigating Over-Optimization in PRM-Guided Search in Mathematical Reasoning by Optimizing the Guidehttps://blog.schoergendorfer.com/post/spec2twin-chain-orchestrating-bi-level-optimization-with-llms-for-blockchain-digSecFeedde2026-09-01T05:32:29.820354+00:00Spec2Twin-Chain: Orchestrating Bi-Level Optimization with LLMs for Blockchain Digital Twin Constructionhttps://blog.schoergendorfer.com/post/can-llm-agents-discover-evaluating-creativity-on-ml-engineering-tasksSecFeedde2026-09-01T05:32:29.800257+00:00Can LLM Agents Discover? Evaluating Creativity on ML Engineering Taskshttps://blog.schoergendorfer.com/post/balance-of-benchmarks-semantic-density-reweighting-for-benchmark-multiplicity-anSecFeedde2026-09-01T05:32:29.780855+00:00Balance of Benchmarks: Semantic Density Reweighting for Benchmark Multiplicity and Task-Conditioned Evaluationhttps://blog.schoergendorfer.com/post/beyond-uncertainty-multi-solver-disagreement-rewards-for-self-evolving-reasoningSecFeedde2026-09-01T05:17:40.574922+00:00Beyond Uncertainty: Multi-Solver Disagreement Rewards for Self-Evolving Reasoning Curriculahttps://blog.schoergendorfer.com/post/interpreting-and-steering-for-safe-and-correct-code-generationSecFeedde2026-09-01T05:17:40.551490+00:00Interpreting and Steering for Safe and Correct Code Generationhttps://blog.schoergendorfer.com/post/automatic-conversion-of-nice-guidelines-to-an-executable-computational-model-usiSecFeedde2026-09-01T05:17:40.528802+00:00Automatic Conversion of NICE Guidelines to an Executable Computational Model Using Large Language Modelshttps://blog.schoergendorfer.com/post/autocrat-within-trajectory-joint-control-of-stochasticity-and-compute-for-llm-reSecFeedde2026-09-01T05:17:40.504144+00:00AutoCRAT: Within-trajectory Joint Control of Stochasticity and Compute for LLM Reasoninghttps://blog.schoergendorfer.com/post/an-open-source-event-driven-pipeline-for-cryptocurrency-market-data-ingestion-foSecFeedde2026-09-01T05:17:40.479644+00:00An Open-Source, Event-Driven Pipeline for Cryptocurrency Market Data: Ingestion, Forecasting, and On-Chain Fraud Detectionhttps://blog.schoergendorfer.com/post/edge-engine-for-deterministic-graph-evaluation-through-conversation-simulation-fSecFeedde2026-09-01T05:17:40.454140+00:00EDGE: Engine for Deterministic Graph Evaluation through Conversation Simulation from Graph Structured DSL Configurationhttps://blog.schoergendorfer.com/post/review-before-trust-source-grounded-integrity-gates-for-ai-assisted-personal-heaSecFeedde2026-09-01T05:17:40.422533+00:00Review Before Trust: Source-Grounded Integrity Gates for AI-Assisted Personal Health Recordshttps://blog.schoergendorfer.com/post/searchwiki-learning-to-build-and-navigate-knowledge-wikis-for-active-informationSecFeedde2026-09-01T05:17:40.395596+00:00SearchWiki: Learning to Build and Navigate Knowledge Wikis for Active Information Seekinghttps://blog.schoergendorfer.com/post/spatial-matryoshka-training-for-multi-granularity-visual-document-retrievalSecFeedde2026-09-01T05:17:40.360983+00:00Spatial Matryoshka Training for Multi-Granularity Visual Document Retrievalhttps://blog.schoergendorfer.com/post/acrosswam10a-modular-latent-world-action-stack-for-compact-robot-policiesSecFeedde2026-09-01T05:17:40.336709+00:00AcrossWAM1.0:A Modular Latent World-Action Stack for Compact Robot Policieshttps://blog.schoergendorfer.com/post/page-rag-provenance-aware-graph-evidence-promotion-for-fixed-budget-multi-hop-reSecFeedde2026-09-01T05:17:40.269262+00:00PAGE-RAG: Provenance-Aware Graph Evidence Promotion for Fixed-Budget Multi-hop Retrieval-Augmented Generationhttps://blog.schoergendorfer.com/post/frameworkers-a-dynamic-multi-agent-framework-for-ai-generated-video-productionSecFeedde2026-09-01T05:17:40.245391+00:00FRAMEWORKERS: A Dynamic Multi-Agent Framework for AI-Generated Video Productionhttps://blog.schoergendorfer.com/post/ideation-arena-evaluating-llm-generated-research-ideas-with-battle-style-human-eSecFeedde2026-09-01T05:17:40.225139+00:00Ideation Arena: Evaluating LLM Generated Research Ideas with Battle-style Human Expert Assessmenthttps://blog.schoergendorfer.com/post/detect-before-you-attribute-cascade-failure-attribution-for-multi-agent-systemsSecFeedde2026-09-01T05:17:40.202697+00:00Detect Before You Attribute: Cascade Failure Attribution for Multi-Agent Systemshttps://blog.schoergendorfer.com/post/llms-interpret-embeddings-organize-graphs-emerge-agent-driven-compilation-of-sciSecFeedde2026-09-01T05:17:40.178980+00:00LLMs Interpret, Embeddings Organize, Graphs Emerge: Agent-Driven Compilation of Scientific Knowledgehttps://blog.schoergendorfer.com/post/towards-a-systems-foundation-for-agentic-skills-architecture-lifecycle-and-securSecFeedde2026-09-01T05:17:40.155565+00:00Towards a Systems Foundation for Agentic Skills: Architecture, Lifecycle, and Securityhttps://blog.schoergendorfer.com/post/not-safe-for-all-auditing-the-dialect-penalty-in-text-to-image-safety-pipelinesSecFeedde2026-09-01T05:17:40.130798+00:00Not Safe for All: Auditing the Dialect Penalty in Text-to-Image Safety Pipelineshttps://blog.schoergendorfer.com/post/call-neighbours-yourself-graph-walks-with-destination-conditioned-on-policy-selfSecFeedde2026-09-01T05:17:40.098931+00:00Call Neighbours Yourself: Graph Walks with Destination-Conditioned On-Policy Self-Distillationhttps://blog.schoergendorfer.com/post/can-escalation-channels-redirect-reward-hacking-toward-defect-disclosureSecFeedde2026-09-01T05:02:47.066097+00:00Can escalation channels redirect reward hacking toward defect disclosure?https://blog.schoergendorfer.com/post/toward-latent-language-model-skills-steering-and-optimization-an-empirical-studySecFeedde2026-09-01T05:02:47.042105+00:00Toward Latent Language Model Skills Steering and Optimization: An Empirical Studyhttps://blog.schoergendorfer.com/post/evogenui-bench-evaluating-llms-as-multi-turn-generative-ui-assistantsSecFeedde2026-09-01T05:02:47.022020+00:00EvoGenUI-Bench: Evaluating LLMs as Multi-Turn Generative UI Assistantshttps://blog.schoergendorfer.com/post/evaluating-tiny-recursive-models-across-training-for-code-generationSecFeedde2026-09-01T05:02:46.997080+00:00Evaluating Tiny Recursive Models Across Training for Code Generationhttps://blog.schoergendorfer.com/post/foresight-9-prospective-and-process-aware-evaluation-of-adaptive-trading-agentsSecFeedde2026-09-01T05:02:46.949640+00:00FORESIGHT-9: Prospective and Process-Aware Evaluation of Adaptive Trading Agentshttps://blog.schoergendorfer.com/post/tracer-per-tool-context-retention-for-llm-agents-via-consequence-attributed-reinSecFeedde2026-09-01T05:02:46.921187+00:00TRACER: Per-Tool Context Retention for LLM Agents via Consequence-Attributed Reinforcement Learninghttps://blog.schoergendorfer.com/post/litesearch-vl-small-multimodal-search-agents-via-trajectory-distillation-and-synSecFeedde2026-09-01T05:02:46.884993+00:00LiteSearch-VL: Small Multimodal Search Agents via Trajectory Distillation and Synthetic Step-DPOhttps://blog.schoergendorfer.com/post/plant-inspired-ai-plants-as-inspiration-for-novel-problem-formulations-and-two-cSecFeedde2026-09-01T05:02:46.858151+00:00Plant-Inspired AI: Plants as Inspiration for Novel Problem Formulations, and Two Case Studieshttps://blog.schoergendorfer.com/post/appsolver-adaptive-patch-partitioning-for-point-wise-ship-flow-prediction-on-unsSecFeedde2026-09-01T05:02:46.829160+00:00APPSolver: Adaptive Patch Partitioning for Point-Wise Ship Flow Prediction on Unstructured Mesheshttps://blog.schoergendorfer.com/post/cross-relational-preference-learning-for-better-llm-instruction-followingSecFeedde2026-09-01T05:02:46.807060+00:00Cross-Relational Preference Learning for Better LLM Instruction Followinghttps://blog.schoergendorfer.com/post/extending-totalsegmentator-predicting-patient-and-acquisition-characteristics-frSecFeedde2026-09-01T05:02:46.785578+00:00Extending TotalSegmentator: Predicting Patient and Acquisition Characteristics from CT and MR Imageshttps://blog.schoergendorfer.com/post/bird-history-a-benchmark-for-history-driven-text-to-sql-with-fine-grained-knowleSecFeedde2026-09-01T05:02:46.762549+00:00BIRD-History: A Benchmark for History-Driven Text-to-SQL with Fine-Grained Knowledge Annotationshttps://blog.schoergendorfer.com/post/formal-concept-analysis-with-three-types-of-negationSecFeedde2026-09-01T05:02:46.741849+00:00Formal Concept Analysis with Three Types of Negationhttps://blog.schoergendorfer.com/post/predicting-future-organ-dysfunction-in-icu-patients-using-temporal-convolutionalSecFeedde2026-09-01T05:02:46.719716+00:00Predicting Future Organ Dysfunction in ICU Patients Using Temporal Convolutional Networks on MIMIC-IV Datahttps://blog.schoergendorfer.com/post/mmpcbench-benchmarking-multimodal-large-language-models-on-proactive-critique-ofSecFeedde2026-09-01T05:02:46.658387+00:00MMPCBench: Benchmarking Multimodal Large Language Models on Proactive Critique of Flawed Inputshttps://blog.schoergendorfer.com/post/epacache-error-propagation-aware-caching-for-accelerating-diffusion-based-visualSecFeedde2026-09-01T05:02:46.638512+00:00EpaCache: Error-Propagation-Aware Caching for Accelerating Diffusion-Based Visual Generationhttps://blog.schoergendorfer.com/post/racer-reinforced-agent-collaboration-for-explainable-reasoning-on-knowledge-grapSecFeedde2026-09-01T05:02:46.614887+00:00RACER: Reinforced Agent Collaboration for Explainable Reasoning on Knowledge Graphshttps://blog.schoergendorfer.com/post/guardianagent-policy-conditioned-risk-adaptive-anonymization-with-verified-adverSecFeedde2026-09-01T04:47:39.759703+00:00GuardianAgent: Policy-Conditioned Risk-Adaptive Anonymization with Verified Adversarial Escalationhttps://blog.schoergendorfer.com/post/validating-fkgin-soundness-assessment-in-llm-augmented-indian-food-knowledgeSecFeedde2026-09-01T04:47:39.736800+00:00Validating FKG.in: Soundness Assessment in LLM-Augmented Indian Food Knowledgehttps://blog.schoergendorfer.com/post/localizing-emergent-failures-in-agentic-ai-recovering-minimal-repair-families-viSecFeedde2026-09-01T04:47:39.712848+00:00Localizing Emergent Failures in Agentic AI: Recovering Minimal Repair Families via Counterfactual Replayhttps://blog.schoergendorfer.com/post/computational-depth-measurement-in-thermographic-video-overcoming-spatial-overfiSecFeedde2026-09-01T04:47:39.686081+00:00Computational Depth Measurement in Thermographic Video: Overcoming Spatial Overfitting via Spatio-Temporal Decouplinghttps://blog.schoergendorfer.com/post/imag-eval-a-language-grounded-framework-for-interpretable-text-to-image-instructSecFeedde2026-09-01T04:47:39.661830+00:00Imag-Eval: a language-grounded framework for interpretable Text-to-Image instruction following evaluationhttps://blog.schoergendorfer.com/post/hyper-fold-exploring-the-expressive-limit-of-sequence-geometry-learning-for-protSecFeedde2026-09-01T04:47:39.641476+00:00Hyper-Fold: Exploring the Expressive Limit of Sequence-Geometry Learning for Proteins via Hypergraph Modelinghttps://blog.schoergendorfer.com/post/benevolent-bias-in-multi-turn-human-agent-dialogueSecFeedde2026-09-01T04:47:39.616462+00:00Benevolent Bias in Multi-Turn Human-Agent Dialoguehttps://blog.schoergendorfer.com/post/how-identity-and-opinion-shape-political-sycophancy-in-llmsSecFeedde2026-09-01T04:47:39.597609+00:00How Identity and Opinion Shape Political Sycophancy in LLMshttps://blog.schoergendorfer.com/post/an-explainable-coherence-score-for-detecting-temporal-inconsistencies-in-politicSecFeedde2026-09-01T04:47:39.578632+00:00An Explainable Coherence Score for Detecting Temporal Inconsistencies in Political Newshttps://blog.schoergendorfer.com/post/judgepanel-a-compact-judge-with-panel-deliberation-via-adaptive-multi-reward-reiSecFeedde2026-09-01T04:47:39.558790+00:00JudgePanel: A Compact Judge with Panel Deliberation via Adaptive Multi-Reward Reinforcement Learninghttps://blog.schoergendorfer.com/post/more-perspectives-stronger-signals-multi-perspective-enhancement-and-progressiveSecFeedde2026-09-01T04:47:39.535650+00:00More Perspectives, Stronger Signals: Multi-Perspective Enhancement and Progressive Fusion for Multimodal Entity Representation Learninghttps://blog.schoergendorfer.com/post/apiflow-bench-measuring-whether-agents-survive-long-dependent-api-workflowsSecFeedde2026-09-01T04:47:39.514993+00:00APIFlow-Bench: Measuring Whether Agents Survive Long, Dependent API Workflowshttps://blog.schoergendorfer.com/post/emergent-misalignment-is-not-magicalSecFeedde2026-09-01T04:47:39.492743+00:00Emergent Misalignment Is Not Magicalhttps://blog.schoergendorfer.com/post/clustering-as-approximation-by-constrained-projectors-theory-and-guaranteesSecFeedde2026-09-01T04:47:39.455470+00:00Clustering as Approximation by Constrained Projectors: Theory and Guaranteeshttps://blog.schoergendorfer.com/post/safeatlas-vl-beyond-binary-multimodal-safety-with-large-scale-data-and-guard-modSecFeedde2026-09-01T04:47:39.431767+00:00SafeAtlas-VL: Beyond Binary Multimodal Safety with Large-Scale Data and Guard Modelshttps://blog.schoergendorfer.com/post/hania-planner-guided-multimodal-graph-evidence-selection-for-grounded-question-aSecFeedde2026-09-01T04:47:39.386088+00:00HANIA: Planner-Guided Multimodal Graph Evidence Selection for Grounded Question Answeringhttps://blog.schoergendorfer.com/post/nested-convex-body-chasing-for-online-optimization-with-evolving-feasible-setsSecFeedde2026-09-01T04:47:39.365784+00:00Nested Convex-Body Chasing for Online Optimization with Evolving Feasible Setshttps://blog.schoergendorfer.com/post/revolutionizing-turn-by-turn-navigation-with-cloud-edge-deep-learningSecFeedde2026-09-01T04:32:48.857337+00:00Revolutionizing Turn-by-Turn Navigation with Cloud-Edge Deep Learninghttps://blog.schoergendorfer.com/post/let-prompts-bridge-defense-knowledge-transferable-graph-purification-via-vulneraSecFeedde2026-09-01T04:32:48.812797+00:00Let Prompts Bridge Defense Knowledge: Transferable Graph Purification via Vulnerability-Aware GPLhttps://blog.schoergendorfer.com/post/emolasp-emotion-recognition-with-language-models-and-answer-set-programmingSecFeedde2026-09-01T04:32:48.792047+00:00EmoLASP: Emotion Recognition with Language Models and Answer Set Programminghttps://blog.schoergendorfer.com/post/learning-to-follow-in-context-watermark-instructions-via-self-distillationSecFeedde2026-09-01T04:32:48.772447+00:00Learning to Follow In-Context Watermark Instructions via Self-Distillationhttps://blog.schoergendorfer.com/post/facts-without-rules-boundary-metadata-collapse-in-multi-agent-llm-handoffsSecFeedde2026-09-01T04:32:48.752109+00:00Facts Without Rules: Boundary Metadata Collapse in Multi-Agent LLM Handoffshttps://blog.schoergendorfer.com/post/disentangling-representation-using-attributes-based-gaussian-estimation-for-mediSecFeedde2026-09-01T04:32:48.733100+00:00Disentangling Representation using Attributes-based Gaussian Estimation for Medical Sound Diagnosishttps://blog.schoergendorfer.com/post/frequency-selective-neural-networks-as-a-foundation-architecture-for-time-seriesSecFeedde2026-09-01T04:32:48.710933+00:00Frequency Selective Neural Networks as a Foundation Architecture for Time Series Learninghttps://blog.schoergendorfer.com/post/multi-step-forecasting-of-grape-berry-temperature-based-on-lstm-model-with-feedSecFeedde2026-09-01T04:32:48.686929+00:00Multi-Step Forecasting of Grape Berry Temperature based on LSTM Model with Feed-Forward Attentionhttps://blog.schoergendorfer.com/post/verification-abundance-adjudication-scarcity-what-happens-to-mathematical-knowleSecFeedde2026-09-01T04:32:48.663437+00:00Verification abundance, adjudication scarcity: what happens to mathematical knowledge when proof checking becomes freehttps://blog.schoergendorfer.com/post/agentic-ai-uncovers-conserved-cross-tissue-protein-co-abundance-programs-inaccesSecFeedde2026-09-01T04:32:48.641844+00:00Agentic AI uncovers conserved cross-tissue protein co-abundance programs inaccessible to single-dataset analysishttps://blog.schoergendorfer.com/post/selective-forgetting-a-graph-based-memory-framework-for-long-term-llm-agentsSecFeedde2026-09-01T04:32:48.601247+00:00Selective Forgetting: A Graph-Based Memory Framework for Long-Term LLM Agentshttps://blog.schoergendorfer.com/post/the-role-of-network-topology-and-opponent-information-in-shaping-cooperation-inSecFeedde2026-09-01T04:32:48.577249+00:00The Role of Network Topology and Opponent Information in Shaping Cooperation in Multi-Agent Reinforcement Learning Systemshttps://blog.schoergendorfer.com/post/from-analytics-to-tumor-boards-an-evidence-linked-multi-agent-workflow-for-oncolSecFeedde2026-09-01T04:32:48.554566+00:00From Analytics to Tumor Boards: An Evidence-Linked Multi-Agent Workflow for Oncology Feature Extractionhttps://blog.schoergendorfer.com/post/efficient-gpu-retrieval-for-semantic-searchSecFeedde2026-09-01T04:32:48.525222+00:00Efficient GPU Retrieval for Semantic Searchhttps://blog.schoergendorfer.com/post/from-location-phrases-to-geographic-entities-task-adapted-retrieval-for-people-sSecFeedde2026-09-01T04:32:48.500198+00:00From Location Phrases to Geographic Entities: Task-Adapted Retrieval for People Searchhttps://blog.schoergendorfer.com/post/automated-researchers-can-reliably-mitigate-alignment-failuresSecFeedde2026-09-01T04:32:48.466300+00:00Automated Researchers Can Reliably Mitigate Alignment Failureshttps://blog.schoergendorfer.com/post/oculi-a-conversational-agentic-platform-for-automated-credit-risk-analysisSecFeedde2026-09-01T04:32:48.438842+00:00Oculi: A Conversational Agentic Platform for Automated Credit Risk Analysishttps://blog.schoergendorfer.com/post/evaluating-the-hidden-costs-of-personalization-in-large-language-modelsSecFeedde2026-09-01T04:32:48.277095+00:00Evaluating the Hidden Costs of Personalization in Large Language Modelshttps://blog.schoergendorfer.com/post/discovering-machine-correlates-of-consciousnessSecFeedde2026-09-01T04:17:41.188130+00:00Discovering Machine Correlates of Consciousnesshttps://blog.schoergendorfer.com/post/explainable-artificial-intelligence-xai-in-computational-pathology-definitions-tSecFeedde2026-09-01T04:17:41.166628+00:00Explainable Artificial Intelligence (XAI) in Computational Pathology: Definitions, Taxonomy, and Recommendationshttps://blog.schoergendorfer.com/post/capability-stratified-degradation-in-ternary-language-modelsSecFeedde2026-09-01T04:17:41.142658+00:00Capability-Stratified Degradation in Ternary Language Modelshttps://blog.schoergendorfer.com/post/efficient-geothermal-well-control-optimization-via-diffusion-surrogate-reinforceSecFeedde2026-09-01T04:17:41.101611+00:00Efficient Geothermal Well-Control Optimization via Diffusion-Surrogate Reinforcement Learninghttps://blog.schoergendorfer.com/post/permitgpt-a-unified-generative-ai-pipeline-for-construction-hazard-forecasting-pSecFeedde2026-09-01T04:17:41.079156+00:00PermitGPT: A Unified Generative-AI Pipeline for Construction Hazard Forecasting, Permit Prediction, and Community Impacthttps://blog.schoergendorfer.com/post/beyond-the-answer-key-robustness-evaluation-of-large-language-models-for-step-leSecFeedde2026-09-01T04:17:41.056302+00:00Beyond the Answer Key: Robustness Evaluation of Large Language Models for Step-Level Mathematical Verificationhttps://blog.schoergendorfer.com/post/pro-router-token-aware-progressive-model-routing-with-adaptive-edge-cloud-collabSecFeedde2026-09-01T04:17:41.030560+00:00Pro-Router: Token-Aware Progressive Model Routing with Adaptive Edge-Cloud Collaboration for Efficient Multimodal LLM Inferencehttps://blog.schoergendorfer.com/post/frac-mas-a-safe-and-explainable-multi-agent-system-for-fracture-diagnosisSecFeedde2026-09-01T04:17:40.986110+00:00FRAC-MAS: A Safe and Explainable Multi-Agent System for Fracture Diagnosishttps://blog.schoergendorfer.com/post/how-language-models-choose-sides-internal-representations-of-instruction-hierarcSecFeedde2026-09-01T04:17:40.942616+00:00How Language Models Choose Sides: Internal Representations of Instruction Hierarchyhttps://blog.schoergendorfer.com/post/self-specialized-teachers-for-domain-post-trainingSecFeedde2026-09-01T04:17:40.920750+00:00Self-Specialized Teachers for Domain Post-Traininghttps://blog.schoergendorfer.com/post/biasmix-finance-post-generation-kyc-guardrails-for-llm-portfolio-adviceSecFeedde2026-09-01T04:17:40.900184+00:00BiasMix-Finance: Post-Generation KYC Guardrails for LLM Portfolio Advicehttps://blog.schoergendorfer.com/post/from-extraction-to-governed-memory-multi-agent-knowledge-graph-construction-withSecFeedde2026-09-01T04:17:40.874223+00:00From Extraction to Governed Memory: Multi-Agent Knowledge Graph Construction with Domain-Expert Reviewhttps://blog.schoergendorfer.com/post/reward-oracle-mcts-for-formal-theorem-proving-sample-efficient-search-and-the-neSecFeedde2026-09-01T04:17:40.852066+00:00Reward-Oracle MCTS for Formal Theorem Proving: Sample-Efficient Search and the Need for Kernel-Level Proof Auditinghttps://blog.schoergendorfer.com/post/ai-scientist-mission-control-aimc-visual-analytics-for-human-oversight-of-autonoSecFeedde2026-09-01T04:17:40.827017+00:00AI Scientist Mission Control (AIMC): Visual Analytics for Human Oversight of Autonomous Scientific Discoveryhttps://blog.schoergendorfer.com/post/self-evolving-skills-via-surrogate-guided-solve-and-reproduceSecFeedde2026-09-01T04:17:40.804083+00:00Self-Evolving Skills via Surrogate-Guided Solve-and-Reproducehttps://blog.schoergendorfer.com/post/autoscientist-quant-self-evolving-coding-agents-for-automatic-research-in-quantiSecFeedde2026-09-01T04:17:40.777642+00:00AutoScientist-Quant: Self-Evolving Coding Agents for Automatic Research in Quantitative Investmenthttps://blog.schoergendorfer.com/post/crossaudit-a-git-native-cross-vendor-audit-loop-for-agentic-scienceSecFeedde2026-09-01T04:17:40.751833+00:00CrossAudit: A Git-Native, Cross-Vendor Audit Loop for Agentic Sciencehttps://blog.schoergendorfer.com/post/cdep-agent-connecting-meteorologically-detected-temporal-compound-events-to-realSecFeedde2026-09-01T04:02:52.734626+00:00CDEP Agent: Connecting Meteorologically Detected Temporal Compound Events to Real-World Documentary Evidencehttps://blog.schoergendorfer.com/post/machine-learning-enhanced-tabu-search-for-tactical-wireless-network-designSecFeedde2026-09-01T04:02:52.714285+00:00Machine Learning-Enhanced Tabu Search for Tactical Wireless Network Designhttps://blog.schoergendorfer.com/post/preference-elicitation-for-policy-optimization-and-application-to-aligning-heartSecFeedde2026-09-01T04:02:52.692246+00:00Preference Elicitation for Policy Optimization and Application to Aligning Heart Transplantation with Human Valueshttps://blog.schoergendorfer.com/post/regdivergence-101-an-llm-benchmark-for-cross-jurisdiction-regulatory-contradictiSecFeedde2026-09-01T04:02:52.636871+00:00RegDivergence-101: An LLM Benchmark for Cross-Jurisdiction Regulatory Contradiction Detection in Life Scienceshttps://blog.schoergendorfer.com/post/medtvl-harnessing-vision-and-language-for-medical-time-series-classificationSecFeedde2026-09-01T04:02:52.618570+00:00MedTVL: Harnessing Vision and Language for Medical Time Series Classificationhttps://blog.schoergendorfer.com/post/c3-unimm-causal-cycle-consistent-unified-multimodal-modeling-via-super-alignmentSecFeedde2026-09-01T04:02:52.601176+00:00C3-UniMM: Causal Cycle-Consistent Unified Multimodal Modeling via Super Alignment and Shared Decoding Spacehttps://blog.schoergendorfer.com/post/integrating-triaxial-imu-sensors-and-ensemble-learning-for-effective-parkinson-dSecFeedde2026-09-01T04:02:52.582222+00:00Integrating Triaxial IMU Sensors and Ensemble Learning for Effective Parkinson Disease Severity Classificationhttps://blog.schoergendorfer.com/post/leveraging-generative-ai-to-design-accessible-interactive-visualizations-for-undSecFeedde2026-09-01T04:02:52.563872+00:00Leveraging Generative AI to Design Accessible Interactive Visualizations for Undergraduate Mathematics: A Six-Phase Workflowhttps://blog.schoergendorfer.com/post/shape-of-chain-of-thought-in-math-reasoningSecFeedde2026-09-01T04:02:52.544788+00:00SHAPE of Chain-of-Thought in Math Reasoninghttps://blog.schoergendorfer.com/post/cdpr-counterfactual-advantage-based-credit-assignment-for-cost-aware-sequentialSecFeedde2026-09-01T04:02:52.524441+00:00CDPR: Counterfactual Advantage-based Credit Assignment for Cost-Aware Sequential Medical Diagnosishttps://blog.schoergendorfer.com/post/the-race-between-agentic-ai-capabilities-and-data-quality-control-in-online-survSecFeedde2026-09-01T04:02:52.503502+00:00The Race between Agentic AI Capabilities and Data Quality Control in Online Surveyshttps://blog.schoergendorfer.com/post/paper-pilot-a-human-in-the-loop-expert-system-for-evidence-traceable-scientificSecFeedde2026-09-01T04:02:52.482999+00:00Paper Pilot: A Human-in-the-Loop Expert System for Evidence-Traceable Scientific Manuscript Generation in Applied Scienceshttps://blog.schoergendorfer.com/post/the-signal-in-the-noise-an-auditable-reliability-layer-for-biomedical-text-classSecFeedde2026-09-01T04:02:52.463178+00:00The Signal in the Noise: An Auditable Reliability Layer for Biomedical Text Classificationhttps://blog.schoergendorfer.com/post/from-question-first-to-analyst-first-domain-expert-skills-and-verified-knowledgeSecFeedde2026-09-01T04:02:52.444770+00:00From Question-First to Analyst-First: Domain-Expert Skills and Verified Knowledge Compilation for Proactive Enterprise Analyticshttps://blog.schoergendorfer.com/post/statutory-ai-aligning-large-language-models-with-legal-normsSecFeedde2026-09-01T04:02:52.420703+00:00Statutory AI: Aligning Large Language Models With Legal Normshttps://blog.schoergendorfer.com/post/a-collective-capability-boundary-in-frontier-large-language-models-on-guidelineSecFeedde2026-09-01T04:02:52.402561+00:00A collective capability boundary in frontier large language models on guideline-conformant and case-specific oncology decision-makinghttps://blog.schoergendorfer.com/post/expert-validated-stem-qaSecFeedde2026-09-01T04:02:52.383118+00:00Expert-validated STEM QAhttps://blog.schoergendorfer.com/post/ds-lighting-making-agent-harnesses-explicit-for-data-science-automationSecFeedde2026-09-01T04:02:52.362451+00:00DS-Lighting: Making Agent Harnesses Explicit for Data-Science Automationhttps://blog.schoergendorfer.com/post/gradium-ai-releases-new-default-tts-model-810-hard-case-pass-rate-at-216-ms-timeSecFeedde2026-09-01T03:47:27.853493+00:00Gradium AI Releases New Default TTS Model: 81.0% Hard-Case Pass Rate at 216 ms Time-to-First-Audiohttps://blog.schoergendorfer.com/post/financially-motivated-threat-actor-breeze-comet-targets-brazilSecFeedde2026-09-01T03:17:33.865337+00:00Financially Motivated Threat Actor BREEZE COMET Targets Brazilhttps://blog.schoergendorfer.com/post/guildma-astaroth-malware-infection-from-brazilian-portuguese-email-tue-sep-1stSecFeedde2026-09-01T00:47:47.228297+00:00Guildma (Astaroth) malware infection from Brazilian Portuguese email, (Tue, Sep 1st)https://blog.schoergendorfer.com/post/introducing-wraptureSecFeedde2026-09-01T00:17:25.730168+00:00Introducing wrapturehttps://blog.schoergendorfer.com/post/kubernetes-v137-storage-version-migration-enabled-by-defaultSecFeedde2026-08-31T23:47:29.110475+00:00Kubernetes v1.37: Storage Version Migration Enabled by Defaulthttps://blog.schoergendorfer.com/post/keenable-ai-open-sources-needle-a-live-search-benchmark-that-rebuilds-its-querySecFeedde2026-08-31T23:47:29.076747+00:00Keenable AI Open-Sources NEEDLE: A Live Search Benchmark That Rebuilds Its Query Set Every Hourhttps://blog.schoergendorfer.com/post/the-hugging-face-hack-could-indicate-cultural-issues-at-openaiSecFeedde2026-08-31T23:32:42.647066+00:00The Hugging Face hack could indicate cultural issues at OpenAIhttps://blog.schoergendorfer.com/post/amazon-kinesis-data-streams-announces-streaming-tables-delivering-data-to-apacheSecFeedde2026-08-31T23:17:33.092675+00:00Amazon Kinesis Data Streams announces streaming tables, delivering data to Apache Iceberg tables on Amazon S3 Tableshttps://blog.schoergendorfer.com/post/amazon-kinesis-data-streams-announces-data-delivery-to-general-purpose-amazon-s3SecFeedde2026-08-31T23:17:33.069188+00:00Amazon Kinesis Data Streams announces data delivery to general purpose Amazon S3 bucketshttps://blog.schoergendorfer.com/post/amazon-workspaces-applications-is-now-available-in-three-new-aws-regionsSecFeedde2026-08-31T23:17:33.037611+00:00Amazon WorkSpaces Applications is now available in three new AWS Regionshttps://blog.schoergendorfer.com/post/amazon-msk-connect-now-supports-restarting-connectorsSecFeedde2026-08-31T23:17:33.015411+00:00Amazon MSK Connect now supports restarting connectorshttps://blog.schoergendorfer.com/post/aws-agent-registry-agents-and-mcp-servers-now-available-in-amazon-quickSecFeedde2026-08-31T23:17:32.988509+00:00AWS Agent Registry agents and MCP servers now available in Amazon Quickhttps://blog.schoergendorfer.com/post/partner-revenue-measurement-expands-service-coverage-for-user-agent-string-capabSecFeedde2026-08-31T23:17:32.964339+00:00Partner Revenue Measurement expands service coverage for User Agent string capabilityhttps://blog.schoergendorfer.com/post/connect-an-agentcore-runtime-hosted-mcp-server-to-amazon-quickSecFeedde2026-08-31T23:02:31.339556+00:00Connect an AgentCore Runtime hosted MCP server to Amazon Quickhttps://blog.schoergendorfer.com/post/aws-workload-credentials-provider-is-now-available-as-a-one-click-install-for-liSecFeedde2026-08-31T22:17:52.221057+00:00AWS Workload Credentials Provider is now available as a one-click install for Linux and Windowshttps://blog.schoergendorfer.com/post/amazon-redshift-now-supports-aws-iam-identity-center-authentication-with-enhanceSecFeedde2026-08-31T22:17:52.171160+00:00Amazon Redshift now supports AWS IAM Identity Center authentication with enhanced VPC routinghttps://blog.schoergendorfer.com/post/spacex-is-in-an-enviable-position-why-anthropic-is-sticking-with-cursor-as-openaSecFeedde2026-08-31T22:02:48.618577+00:00SpaceX is in an “enviable position”: why Anthropic is sticking with Cursor as OpenAI cuts accesshttps://blog.schoergendorfer.com/post/google-ai-releases-timesfm-3-a-330m-parameter-zero-shot-foundation-model-for-mulSecFeedde2026-08-31T21:32:40.374088+00:00Google AI Releases TimesFM-3: A 330M Parameter Zero-Shot Foundation Model For Multivariate Time Series Forecastinghttps://blog.schoergendorfer.com/post/amazon-aurora-serverless-is-now-available-with-30-better-performance-and-smarterSecFeedde2026-08-31T21:17:27.552617+00:00Amazon Aurora serverless is now available with 30% better performance and smarter scaling in additional AWS Regionshttps://blog.schoergendorfer.com/post/aws-lambda-recursive-loop-detection-is-now-available-in-all-commercial-aws-regioSecFeedde2026-08-31T21:17:27.528368+00:00AWS Lambda recursive loop detection is now available in all commercial AWS Regionshttps://blog.schoergendorfer.com/post/amazon-ec2-r9g-and-r9gd-memory-optimized-instances-are-now-availableSecFeedde2026-08-31T21:17:27.498515+00:00Amazon EC2 R9g and R9gd memory optimized instances are now availablehttps://blog.schoergendorfer.com/post/amazon-timestream-for-influxdb-is-now-available-in-8-additional-aws-regionsSecFeedde2026-08-31T21:17:27.472459+00:00Amazon Timestream for InfluxDB is now available in 8 additional AWS Regionshttps://blog.schoergendorfer.com/post/enterprise-live-migrations-is-now-in-public-previewSecFeedde2026-08-31T21:03:06.091208+00:00Enterprise Live Migrations is now in public previewhttps://blog.schoergendorfer.com/post/mcp-was-supposed-to-solve-the-agent-tooling-problem-it-missed-a-stepSecFeedde2026-08-31T20:18:13.995464+00:00MCP was supposed to solve the agent tooling problem. It missed a step.https://blog.schoergendorfer.com/post/aws-announces-aws-interconnect-multicloud-connectivity-with-microsoft-azure-in-pSecFeedde2026-08-31T20:18:13.968938+00:00AWS announces AWS Interconnect - multicloud connectivity with Microsoft Azure in previewhttps://blog.schoergendorfer.com/post/aws-agent-registry-for-centralized-agent-discovery-and-governance-is-now-generalSecFeedde2026-08-31T20:18:13.943903+00:00AWS Agent Registry for centralized agent discovery and governance is now generally availablehttps://blog.schoergendorfer.com/post/the-coding-agent-trap-when-a-free-llm-endpoint-is-the-adversary-mon-aug-31stSecFeedde2026-08-31T20:18:13.711230+00:00The Coding-Agent Trap: When a "Free" LLM Endpoint Is the Adversary, (Mon, Aug 31st)https://blog.schoergendorfer.com/post/amazon-ec2-r9g-and-r9gd-instances-powered-by-aws-graviton5-processors-are-now-geSecFeedde2026-08-31T20:03:00.192556+00:00Amazon EC2 R9g and R9gd instances powered by AWS Graviton5 processors are now generally availablehttps://blog.schoergendorfer.com/post/aws-recognized-as-a-leader-in-the-forrester-wave-ai-infrastructure-solutions-q4SecFeedde2026-08-31T20:03:00.155854+00:00AWS recognized as a Leader in The Forrester Wave: AI Infrastructure Solutions, Q4 2025https://blog.schoergendorfer.com/post/googles-new-forecasting-model-beats-everyone-you-cant-use-it-at-work-yetSecFeedde2026-08-31T19:48:02.705013+00:00Google’s new forecasting model beats everyone. You can’t use it at work (yet).https://blog.schoergendorfer.com/post/spacex-designed-an-orbital-vera-rubin-radiation-comes-nextSecFeedde2026-08-31T19:33:07.164072+00:00SpaceX designed an orbital Vera Rubin. Radiation comes next.https://blog.schoergendorfer.com/post/openai-cuts-off-cursors-model-access-after-spacex-acquisitionSecFeedde2026-08-31T19:33:07.139084+00:00OpenAI Cuts Off Cursor’s Model Access After SpaceX Acquisitionhttps://blog.schoergendorfer.com/post/manage-agents-tools-and-skills-at-scale-with-aws-agent-registrySecFeedde2026-08-31T19:33:07.108311+00:00Manage agents, tools and skills at scale with AWS Agent Registryhttps://blog.schoergendorfer.com/post/automated-security-response-on-aws-adds-ai-toolkit-for-custom-remediationsSecFeedde2026-08-31T19:17:59.391655+00:00Automated Security Response on AWS adds AI Toolkit for custom remediationshttps://blog.schoergendorfer.com/post/amazon-cognito-now-supports-machine-to-machine-authorization-without-a-user-poolSecFeedde2026-08-31T19:17:59.369113+00:00Amazon Cognito now supports machine-to-machine authorization without a user pool domainhttps://blog.schoergendorfer.com/post/amazon-redshift-now-supports-apache-iceberg-v3-tablesSecFeedde2026-08-31T19:17:59.346230+00:00Amazon Redshift now supports Apache Iceberg v3 tableshttps://blog.schoergendorfer.com/post/say-it-once-introducing-bot-preference-sync-4SecFeedde2026-08-31T19:17:59.322191+00:00Say it once: Introducing Bot Preference Synchttps://blog.schoergendorfer.com/post/the-cloudflare-blog-brought-to-you-by-emdash-2SecFeedde2026-08-31T19:17:59.295201+00:00The Cloudflare Blog — brought to you by EmDashhttps://blog.schoergendorfer.com/post/build-observable-enterprise-agentic-retrieval-using-managed-amazon-bedrock-knowlSecFeedde2026-08-31T19:17:59.268699+00:00Build observable enterprise agentic retrieval using Managed Amazon Bedrock Knowledge Base with AWS CloudFormationhttps://blog.schoergendorfer.com/post/we-invited-a-direct-competitor-into-security-hub-extended-heres-whySecFeedde2026-08-31T19:17:59.236138+00:00We invited a direct competitor into Security Hub Extended. Here’s why.https://blog.schoergendorfer.com/post/openai-wants-to-charge-only-when-ai-gets-it-right-heres-the-catchSecFeedde2026-08-31T19:02:29.370153+00:00OpenAI wants to charge only when AI gets it right — here’s the catchhttps://blog.schoergendorfer.com/post/elon-musk-chose-vera-rubin-for-orbit-now-it-must-be-redesigned-for-spaceSecFeedde2026-08-31T19:02:29.340573+00:00Elon Musk chose Vera Rubin for orbit. Now it must be redesigned for space.https://blog.schoergendorfer.com/post/build-multi-tenant-agentic-chat-applications-on-enterprise-data-with-amazon-bedrSecFeedde2026-08-31T19:02:29.278031+00:00Build multi-tenant agentic chat applications on enterprise data with Amazon Bedrock Managed Knowledge Basehttps://blog.schoergendorfer.com/post/zdi-26-611-0day-pdfforge-pdf-architect-app-object-out-of-bounds-read-remote-codeSecFeedde2026-08-31T18:33:25.522400+00:00ZDI-26-611: (0Day) pdfforge PDF Architect App Object Out-Of-Bounds Read Remote Code Execution Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-612-0day-pdfforge-pdf-architect-pdf-file-parsing-out-of-bounds-write-remoSecFeedde2026-08-31T18:33:25.492446+00:00ZDI-26-612: (0Day) pdfforge PDF Architect PDF File Parsing Out-Of-Bounds Write Remote Code Execution Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-613-0day-pdfforge-pdf-architect-pdf-file-parsing-memory-corruption-remoteSecFeedde2026-08-31T18:33:25.465617+00:00ZDI-26-613: (0Day) pdfforge PDF Architect PDF File Parsing Memory Corruption Remote Code Execution Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-614-0day-pdfforge-pdf-architect-pdf-file-parsing-out-of-bounds-write-remoSecFeedde2026-08-31T18:33:25.442685+00:00ZDI-26-614: (0Day) pdfforge PDF Architect PDF File Parsing Out-Of-Bounds Write Remote Code Execution Vulnerabilityhttps://blog.schoergendorfer.com/post/zdi-26-615-0day-pdfforge-pdf-architect-activation-service-update-service-uncontrSecFeedde2026-08-31T18:33:25.413134+00:00ZDI-26-615: (0Day) pdfforge PDF Architect activation-service Update Service Uncontrolled Search Path Element Local Privilege Escalation Vulnerabilityhttps://blog.schoergendorfer.com/post/aws-elastic-beanstalk-now-supports-active-directory-domain-join-for-windows-servSecFeedde2026-08-31T18:17:44.537298+00:00AWS Elastic Beanstalk now supports Active Directory domain join for Windows Server environmentshttps://blog.schoergendorfer.com/post/hugging-face-hack-could-indicate-cultural-issues-at-openaiSecFeedde2026-08-31T18:17:44.510798+00:00Hugging Face hack could indicate cultural issues at OpenAIhttps://blog.schoergendorfer.com/post/introducing-adaptive-intelligence-undermining-the-economics-of-every-bot-attack-2SecFeedde2026-08-31T17:47:38.895573+00:00Introducing Adaptive Intelligence: Undermining the economics of every bot attackhttps://blog.schoergendorfer.com/post/automate-iam-identity-center-governance-with-continuous-discovery-and-reportingSecFeedde2026-08-31T17:34:04.961630+00:00Automate IAM Identity Center governance with continuous discovery and reportinghttps://blog.schoergendorfer.com/post/amazon-emr-on-eks-now-supports-job-run-concurrency-controlsSecFeedde2026-08-31T17:17:30.625169+00:00Amazon EMR on EKS now supports job run concurrency controlshttps://blog.schoergendorfer.com/post/from-operator-to-agent-manager-the-real-shift-in-network-engineeringSecFeedde2026-08-31T16:33:05.078845+00:00From Operator to Agent Manager: The Real Shift in Network Engineeringhttps://blog.schoergendorfer.com/post/amazon-opensearch-service-adds-new-cluster-insights-for-faster-diagnosis-of-clusSecFeedde2026-08-31T16:18:37.465761+00:00Amazon OpenSearch Service adds new Cluster Insights for faster diagnosis of cluster statushttps://blog.schoergendorfer.com/post/whats-new-in-ai-infrastructure-and-orchestration-in-augustSecFeedde2026-08-31T16:18:37.440772+00:00What’s new in AI infrastructure and orchestration in Augusthttps://blog.schoergendorfer.com/post/bigquery-graph-is-now-ga-the-knowledge-foundation-for-the-agentic-eraSecFeedde2026-08-31T16:18:37.411721+00:00BigQuery Graph is now GA: the knowledge foundation for the agentic erahttps://blog.schoergendorfer.com/post/from-weeks-to-minutes-the-new-agentic-era-of-data-pipelinesSecFeedde2026-08-31T16:18:37.381791+00:00From weeks to minutes: The new agentic era of data pipelineshttps://blog.schoergendorfer.com/post/cloud-ciso-perspectives-tips-on-securing-the-water-sector-in-the-ai-eraSecFeedde2026-08-31T16:18:37.354185+00:00Cloud CISO Perspectives: Tips on securing the water sector in the AI erahttps://blog.schoergendorfer.com/post/gigapath-flash-and-gigatime-flash-toward-population-scale-discovery-with-efficieSecFeedde2026-08-31T16:03:20.172681+00:00GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation modelshttps://blog.schoergendorfer.com/post/shai-hulud-whoever-controls-your-package-registry-controls-your-pipelineSecFeedde2026-08-31T16:03:20.123055+00:00Shai-Hulud: Whoever controls your package registry controls your pipelinehttps://blog.schoergendorfer.com/post/usn-8704-1-gnu-cpio-vulnerabilitiesSecFeedde2026-08-31T16:03:20.064601+00:00USN-8704-1: GNU cpio vulnerabilitieshttps://blog.schoergendorfer.com/post/hardening-kubernetes-security-with-istio-ambient-mode-on-flat-networksSecFeedde2026-08-31T15:48:00.967704+00:00Hardening Kubernetes Security with Istio Ambient Mode on Flat Networkshttps://blog.schoergendorfer.com/post/cut-coding-agent-token-use-with-better-tool-outputSecFeedde2026-08-31T15:03:20.038608+00:00Cut coding agent token use with better tool outputhttps://blog.schoergendorfer.com/post/cisa-adds-two-known-exploited-vulnerabilities-to-catalog-7SecFeedde2026-08-31T15:03:19.976530+00:00CISA Adds Two Known Exploited Vulnerabilities to Cataloghttps://blog.schoergendorfer.com/post/aws-weekly-roundup-welcome-ducklabs-to-the-team-agentic-resource-discovery-ard-aSecFeedde2026-08-31T14:49:32.315606+00:00AWS Weekly Roundup: Welcome DuckLabs to the team, Agentic Resource Discovery (ARD), and more (August 31, 2026)https://blog.schoergendorfer.com/post/ten-great-devops-job-opportunities-9SecFeedde2026-08-31T14:17:46.580847+00:00Ten Great DevOps Job Opportunitieshttps://blog.schoergendorfer.com/post/lunar-cyber-launches-token-exposure-monitoring-as-infostealers-target-developerSecFeedde2026-08-31T14:17:46.544691+00:00Lunar Cyber Launches Token Exposure Monitoring as Infostealers Target Developer and AI Credentialshttps://blog.schoergendorfer.com/post/usn-8678-3-openssl-vulnerabilitySecFeedde2026-08-31T14:03:05.683285+00:00USN-8678-3: OpenSSL vulnerabilityhttps://blog.schoergendorfer.com/post/usn-8702-1-util-linux-vulnerabilitiesSecFeedde2026-08-31T14:03:05.629845+00:00USN-8702-1: util-linux vulnerabilitieshttps://blog.schoergendorfer.com/post/breaking-the-seal-static-deobfuscation-of-jsceals-compiled-v8-bytecodeSecFeedde2026-08-31T14:03:05.551172+00:00Breaking the Seal: Static Deobfuscation of JSCeal’s Compiled V8 Bytecodehttps://blog.schoergendorfer.com/post/import-ai-471-why-hugging-face-worries-me-space-mining-five-eyes-on-aiSecFeedde2026-08-31T13:47:54.763326+00:00Import AI 471: Why Hugging Face worries me; space mining; FIve Eyes on AIhttps://blog.schoergendorfer.com/post/anthropics-claude-fixed-all-10-alignment-failures-then-it-tried-to-cheat-24-of-tSecFeedde2026-08-31T13:33:22.196476+00:00Anthropic’s Claude fixed all 10 alignment failures. Then it tried to cheat 2.4% of the time.https://blog.schoergendorfer.com/post/broadcom-launches-trusted-artifact-service-for-spring-frameworkSecFeedde2026-08-31T13:33:22.163009+00:00Broadcom Launches Trusted Artifact Service for Spring Frameworkhttps://blog.schoergendorfer.com/post/introducing-adaptive-intelligence-undermining-the-economics-of-every-bot-attackSecFeedde2026-08-31T13:33:22.122985+00:00Introducing Adaptive Intelligence: undermining the economics of every bot attackhttps://blog.schoergendorfer.com/post/usn-8699-1-libssh-vulnerabilitiesSecFeedde2026-08-31T13:17:43.411571+00:00USN-8699-1: libssh vulnerabilitieshttps://blog.schoergendorfer.com/post/31th-august-threat-intelligence-reportSecFeedde2026-08-31T13:17:42.438900+00:0031th August – Threat Intelligence Reporthttps://blog.schoergendorfer.com/post/your-agent-context-needs-a-development-lifecycleSecFeedde2026-08-31T13:02:59.976781+00:00Your agent context needs a development lifecyclehttps://blog.schoergendorfer.com/post/secure-by-default-is-your-only-way-forwardSecFeedde2026-08-31T13:02:59.942347+00:00Secure by default is your only way forwardhttps://blog.schoergendorfer.com/post/deepseeks-first-vision-model-vs-gemini-37-flash-it-comes-down-to-spend-vs-speedSecFeedde2026-08-31T12:02:52.010112+00:00DeepSeek’s first vision model vs. Gemini 3.7 Flash: It comes down to spend vs. speedhttps://blog.schoergendorfer.com/post/opentelemetry-has-graduated-now-whatSecFeedde2026-08-31T11:32:43.723610+00:00OpenTelemetry has graduated… now what?https://blog.schoergendorfer.com/post/tide-launched-raziel-for-ai-security-it-assumes-hackers-are-insideSecFeedde2026-08-31T10:17:50.714477+00:00Tide launched Raziel for AI security. It assumes hackers are inside.https://blog.schoergendorfer.com/post/vs-code-1135-gives-ai-coding-agents-a-second-opinionSecFeedde2026-08-31T10:17:50.686294+00:00VS Code 1.135 Gives AI Coding Agents a Second Opinionhttps://blog.schoergendorfer.com/post/valleyrat-masquerading-as-adwareSecFeedde2026-08-31T10:17:50.607813+00:00ValleyRAT masquerading as adwarehttps://blog.schoergendorfer.com/post/a-simple-website-summary-just-exposed-the-limits-of-ai-coding-guardrailsSecFeedde2026-08-31T09:47:35.535383+00:00A Simple Website Summary Just Exposed the Limits of AI Coding Guardrailshttps://blog.schoergendorfer.com/post/optimize-eks-operations-with-agents-reduce-mttr-with-aws-devops-agent-and-a-kubeSecFeedde2026-08-31T09:33:23.630006+00:00Optimize EKS operations with agents: Reduce MTTR with AWS DevOps Agent and a Kubernetes Operatorhttps://blog.schoergendorfer.com/post/github-tightens-copilots-billing-and-governance-rules-ahead-of-a-busy-fallSecFeedde2026-08-31T09:18:31.264691+00:00GitHub Tightens Copilot’s Billing and Governance Rules Ahead of a Busy Fallhttps://blog.schoergendorfer.com/post/lwiai-podcast-255-gemini-37-jalapeno-qwen-38-dronesSecFeedde2026-08-31T08:47:29.805886+00:00LWiAI Podcast #255 - Gemini 3.7, Jalapeño, Qwen 3.8, Droneshttps://blog.schoergendorfer.com/post/usn-8689-1-openjdk-26-vulnerabilitiesSecFeedde2026-08-31T08:02:45.679100+00:00USN-8689-1: OpenJDK 26 vulnerabilitieshttps://blog.schoergendorfer.com/post/openclaw-releases-openclaw-20-guided-model-setup-575-ms-control-ui-startup-and-oSecFeedde2026-08-31T08:02:45.653190+00:00OpenClaw Releases OpenClaw 2.0: Guided Model Setup, 575 ms Control UI Startup, and One Trust Boundary Per Gatewayhttps://blog.schoergendorfer.com/post/when-stale-constraints-go-unchecked-budgeted-verification-failures-in-inherited-3SecFeedde2026-08-31T08:02:45.629872+00:00When Stale Constraints Go Unchecked: Budgeted Verification Failures in Inherited Agent Memoryhttps://blog.schoergendorfer.com/post/set-shifting-behavioral-test-for-harnessed-agents-2SecFeedde2026-08-31T08:02:45.561187+00:00Set-shifting Behavioral Test for Harnessed Agentshttps://blog.schoergendorfer.com/post/memorycard-topic-aware-multi-modal-clue-compression-for-long-video-question-answSecFeedde2026-08-31T08:02:45.485552+00:00MemoryCard: Topic-Aware Multi-Modal Clue Compression for Long-Video Question Answeringhttps://blog.schoergendorfer.com/post/a-wolf-in-sheeps-clothing-targeted-routing-hijacking-in-federated-ragSecFeedde2026-08-31T08:02:45.458451+00:00A Wolf in Sheep's Clothing: Targeted Routing Hijacking in Federated RAGhttps://blog.schoergendorfer.com/post/the-telephone-game-evaluating-semantic-drift-in-unified-modelsSecFeedde2026-08-31T08:02:45.431503+00:00The Telephone Game: Evaluating Semantic Drift in Unified Modelshttps://blog.schoergendorfer.com/post/long-story-short-story-level-video-understanding-from-20k-short-filmsSecFeedde2026-08-31T08:02:45.403884+00:00Long Story Short: Story-level Video Understanding from 20K Short Filmshttps://blog.schoergendorfer.com/post/prism-self-pruning-intrinsic-selection-method-for-training-free-multimodal-dataSecFeedde2026-08-31T08:02:45.376106+00:00PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data Selectionhttps://blog.schoergendorfer.com/post/representing-and-parsing-korean-constituency-structure-at-different-levels-of-gr-2SecFeedde2026-08-31T08:02:45.349449+00:00Representing and Parsing Korean Constituency Structure at Different Levels of Granularityhttps://blog.schoergendorfer.com/post/surgical-alignment-in-knowledge-graph-training-for-clinical-diagnosis-with-large-2SecFeedde2026-08-31T08:02:45.323019+00:00Surgical Alignment in Knowledge Graph Training for Clinical Diagnosis with Large Language Modelshttps://blog.schoergendorfer.com/post/comparing-chunking-and-embedding-strategies-for-turkish-rag-systems-2SecFeedde2026-08-31T08:02:45.295742+00:00Comparing Chunking and Embedding Strategies for Turkish RAG Systemshttps://blog.schoergendorfer.com/post/self-generated-text-recognition-quality-heuristics-cross-task-transfer-and-downs-2SecFeedde2026-08-31T08:02:45.269641+00:00Self-Generated Text Recognition: Quality Heuristics, Cross-Task Transfer, and Downstream Bias in LLM Evaluationhttps://blog.schoergendorfer.com/post/ai-models-can-predict-and-collaboratively-modulate-human-memory-searchSecFeedde2026-08-31T08:02:45.243819+00:00AI Models Can Predict and Collaboratively Modulate Human Memory Searchhttps://blog.schoergendorfer.com/post/elementcheck-complexity-aware-long-form-text-factuality-evaluation-via-sentence-2SecFeedde2026-08-31T08:02:45.217291+00:00ElementCheck: Complexity-Aware Long-Form Text Factuality Evaluation via Sentence Elementshttps://blog.schoergendorfer.com/post/treegraft-adaptive-multi-drafter-grafting-for-tree-based-speculative-decoding-2SecFeedde2026-08-31T07:47:32.239172+00:00TreeGraft: Adaptive Multi-Drafter Grafting for Tree-Based Speculative Decodinghttps://blog.schoergendorfer.com/post/overview-of-shroom-visions-2026-a-shared-task-on-hallucination-detection-in-larg-2SecFeedde2026-08-31T07:47:32.212430+00:00Overview of SHROOM-Visions 2026: A Shared Task on Hallucination Detection in Large Vision-Language Modelshttps://blog.schoergendorfer.com/post/one-form-to-transfer-them-all-pretraining-multilingual-language-models-beyond-na-2SecFeedde2026-08-31T07:47:32.186327+00:00One Form to Transfer Them All: Pretraining Multilingual Language Models Beyond Native Orthographyhttps://blog.schoergendorfer.com/post/mathadv-what-theorem-provers-know-reason-formalize-and-generalize-2SecFeedde2026-08-31T07:47:32.160367+00:00MathAdv: What Theorem Provers Know, Reason, Formalize, and Generalizehttps://blog.schoergendorfer.com/post/a-declarative-procedural-perspective-on-expert-routing-in-bilingual-mixture-of-e-2SecFeedde2026-08-31T07:47:32.136458+00:00A Declarative-Procedural Perspective on Expert Routing in Bilingual Mixture-of-Experts Language Modelshttps://blog.schoergendorfer.com/post/why-knowing-both-hops-is-not-enough-understanding-two-hop-generalization-in-lang-3SecFeedde2026-08-31T07:47:32.089020+00:00Why Knowing Both Hops Is Not Enough: Understanding Two-Hop Generalization in Language Modelshttps://blog.schoergendorfer.com/post/profilefoundry-a-synthetic-person-object-substrate-for-privacy-memory-and-tool-uSecFeedde2026-08-31T07:47:32.065335+00:00ProfileFoundry: A Synthetic Person-Object Substrate for Privacy, Memory, and Tool-Use Evaluation in LLM Agenthttps://blog.schoergendorfer.com/post/persuasion-index-a-theory-guided-framework-for-persuasion-analysisSecFeedde2026-08-31T07:47:32.023937+00:00Persuasion Index: A Theory-Guided Framework for Persuasion Analysishttps://blog.schoergendorfer.com/post/does-finetuning-with-scientific-data-increase-hallucinations-a-multi-domain-factSecFeedde2026-08-31T07:47:32.000242+00:00Does Finetuning with Scientific Data Increase Hallucinations? A Multi-domain Factuality Evaluation of LLMshttps://blog.schoergendorfer.com/post/the-granularity-gap-a-multi-dimensional-cross-generational-audit-of-sycophancy-i-2SecFeedde2026-08-31T07:47:31.976412+00:00The Granularity Gap: A Multi-Dimensional Cross-Generational Audit of Sycophancy in Gemini Modelshttps://blog.schoergendorfer.com/post/self-evaluation-is-already-there-eliciting-latent-judge-calibration-in-base-llmsSecFeedde2026-08-31T07:47:31.953608+00:00Self-Evaluation Is Already There: Eliciting Latent Judge Calibration in Base LLMs with Minimal Datahttps://blog.schoergendorfer.com/post/realclawbench-live-openclaw-benchmarks-from-real-developer-agent-sessionsSecFeedde2026-08-31T07:47:31.933565+00:00RealClawBench: Live OpenClaw Benchmarks from Real Developer-Agent Sessionshttps://blog.schoergendorfer.com/post/cram-centroid-routing-and-adaptive-moe-for-multimodal-continual-instruction-tuni-2SecFeedde2026-08-31T07:47:31.913194+00:00CRAM: Centroid-Routing and Adaptive MoE for Multimodal Continual Instruction Tuninghttps://blog.schoergendorfer.com/post/benchmarking-llm-as-a-judge-for-long-form-output-evaluation-2SecFeedde2026-08-31T07:47:31.888640+00:00Benchmarking LLM-as-a-Judge for Long-Form Output Evaluationhttps://blog.schoergendorfer.com/post/diffusent-towards-a-unified-diffusion-framework-for-aspect-based-sentiment-analySecFeedde2026-08-31T07:47:31.859473+00:00DiffuSent: Towards a Unified Diffusion Framework for Aspect-Based Sentiment Analysishttps://blog.schoergendorfer.com/post/human-label-variation-as-stable-signal-learning-annotator-specific-explanation-bSecFeedde2026-08-31T07:47:31.815704+00:00Human Label Variation as Stable Signal: Learning Annotator-Specific Explanation Behavior via Cross-Annotator Preference Optimizationhttps://blog.schoergendorfer.com/post/why-are-all-llms-obsessed-with-japanese-culture-on-the-hidden-cultural-and-regioSecFeedde2026-08-31T07:32:32.754248+00:00Why are all LLMs Obsessed with Japanese Culture? On the Hidden Cultural and Regional Biases of LLMshttps://blog.schoergendorfer.com/post/select-label-evaluate-active-testing-in-nlpSecFeedde2026-08-31T07:32:32.729007+00:00Select, Label, Evaluate: Active Testing in NLPhttps://blog.schoergendorfer.com/post/large-reasoning-models-struggle-to-transfer-parametric-knowledge-across-scriptsSecFeedde2026-08-31T07:32:32.675506+00:00Large Reasoning Models Struggle to Transfer Parametric Knowledge Across Scriptshttps://blog.schoergendorfer.com/post/from-leaky-thoughts-to-private-reasoning-controlling-what-lrms-say-to-themselves-2SecFeedde2026-08-31T07:32:32.628145+00:00From Leaky Thoughts to Private Reasoning: Controlling What LRMs Say to Themselveshttps://blog.schoergendorfer.com/post/fence-a-financial-and-multimodal-jailbreak-detection-datasetSecFeedde2026-08-31T07:32:32.602259+00:00FENCE: A Financial and Multimodal Jailbreak Detection Datasethttps://blog.schoergendorfer.com/post/cofrgenet-continued-fraction-architectures-for-language-generationSecFeedde2026-08-31T07:32:32.577519+00:00CoFrGeNet: Continued Fraction Architectures for Language Generationhttps://blog.schoergendorfer.com/post/beyond-the-rabbit-hole-mapping-the-relational-harms-of-qanon-radicalizationSecFeedde2026-08-31T07:32:32.555023+00:00Beyond the Rabbit Hole: Mapping the Relational Harms of QAnon Radicalizationhttps://blog.schoergendorfer.com/post/omnifusion-simultaneous-multilingual-multimodal-translations-via-modular-fusionSecFeedde2026-08-31T07:32:32.509411+00:00OmniFusion: Simultaneous Multilingual Multimodal Translations via Modular Fusionhttps://blog.schoergendorfer.com/post/learning-a-single-token-to-replace-long-system-prompts-in-llmsSecFeedde2026-08-31T07:32:32.486516+00:00Learning a Single Token to Replace Long System Prompts in LLMshttps://blog.schoergendorfer.com/post/smrc-aligning-large-language-models-with-student-reasoning-for-mathematical-erroSecFeedde2026-08-31T07:32:32.441119+00:00SMRC: Aligning Large Language Models with Student Reasoning for Mathematical Error Correctionhttps://blog.schoergendorfer.com/post/quantifying-affective-bias-in-low-resource-media-large-scale-emotion-profiling-oSecFeedde2026-08-31T07:32:32.415937+00:00Quantifying Affective Bias in Low-Resource Media: Large-Scale Emotion Profiling of Bengali Headlineshttps://blog.schoergendorfer.com/post/prism-agentic-retrieval-with-llms-for-multi-hop-question-answeringSecFeedde2026-08-31T07:32:32.389402+00:00PRISM: Agentic Retrieval with LLMs for Multi-Hop Question Answeringhttps://blog.schoergendorfer.com/post/steering-multimodal-large-language-models-decoding-for-context-aware-safetySecFeedde2026-08-31T07:32:32.364550+00:00Steering Multimodal Large Language Models Decoding for Context-Aware Safetyhttps://blog.schoergendorfer.com/post/beyond-the-rosetta-stone-unification-forces-in-generalization-dynamics-2SecFeedde2026-08-31T07:32:32.337863+00:00Beyond the Rosetta Stone: Unification Forces in Generalization Dynamicshttps://blog.schoergendorfer.com/post/cognitive-chain-of-thought-cocot-structured-multimodal-reasoning-about-social-siSecFeedde2026-08-31T07:32:32.309042+00:00Cognitive Chain-of-Thought (CoCoT): Structured Multimodal Reasoning about Social Situationshttps://blog.schoergendorfer.com/post/pruning-laws-for-large-language-modelsSecFeedde2026-08-31T07:17:41.606407+00:00Pruning Laws for Large Language Modelshttps://blog.schoergendorfer.com/post/evaluating-the-performance-of-large-language-models-on-gaokao-benchmarkSecFeedde2026-08-31T07:17:41.582650+00:00Evaluating the Performance of Large Language Models on GAOKAO Benchmarkhttps://blog.schoergendorfer.com/post/beacon-behavior-anchored-cross-source-knowledge-graph-construction-for-cyber-thrSecFeedde2026-08-31T07:17:41.537396+00:00BEACON: Behavior-Anchored Cross-Source Knowledge Graph Construction for Cyber Threat Intelligencehttps://blog.schoergendorfer.com/post/camodocs-a-poisoning-attack-against-retrieval-augmented-language-models-using-caSecFeedde2026-08-31T07:17:41.511316+00:00CamoDocs: A Poisoning Attack Against Retrieval-Augmented Language Models Using Camouflaged Documentshttps://blog.schoergendorfer.com/post/semantic-head-specialization-guides-hybrid-vit-attention-for-multimodal-llmsSecFeedde2026-08-31T07:17:41.484862+00:00Semantic Head Specialization Guides Hybrid ViT Attention for Multimodal LLMshttps://blog.schoergendorfer.com/post/layered-llm-defenses-as-an-ensemble-access-tiers-inference-cost-and-the-measuredSecFeedde2026-08-31T07:17:41.457708+00:00Layered LLM Defenses as an Ensemble: Access Tiers, Inference Cost, and the Measured Failure Correlation Between Defense Layershttps://blog.schoergendorfer.com/post/aim-anchor-identity-features-then-match-for-multimodal-large-language-model-unleSecFeedde2026-08-31T07:17:41.425677+00:00AIM: Anchor Identity Features, Then Match for Multimodal Large Language Model Unlearninghttps://blog.schoergendorfer.com/post/synth-jdoc-synthesizing-a-japanese-document-image-dataset-for-ocr-with-diverse-lSecFeedde2026-08-31T07:17:41.396531+00:00Synth-JDoc: Synthesizing a Japanese Document Image Dataset for OCR with Diverse Layouts and Embedded Imageshttps://blog.schoergendorfer.com/post/benchmarking-large-language-model-agent-societies-against-human-behavioural-distSecFeedde2026-08-31T07:17:41.368293+00:00Benchmarking large language model agent societies against human behavioural distributionshttps://blog.schoergendorfer.com/post/speculative-probing-llm-monitoring-at-speculative-decoding-costSecFeedde2026-08-31T07:17:41.336530+00:00Speculative Probing: LLM Monitoring at Speculative-Decoding Costhttps://blog.schoergendorfer.com/post/discti-who-needs-to-know-timely-automated-sector-aware-cyber-threat-intelligenceSecFeedde2026-08-31T07:17:41.309761+00:00DisCTI: Who Needs to Know Timely? Automated Sector-Aware Cyber Threat Intelligence Disseminationhttps://blog.schoergendorfer.com/post/auditing-generative-audio-calls-for-known-task-audio-llm-evaluationSecFeedde2026-08-31T07:17:41.241754+00:00Auditing Generative Audio Calls for Known-Task Audio-LLM Evaluationhttps://blog.schoergendorfer.com/post/cedar-automata-as-verifiable-interfaces-for-language-guided-embodied-actionSecFeedde2026-08-31T07:17:41.213711+00:00CEDAR: Automata as Verifiable Interfaces for Language-Guided Embodied Actionhttps://blog.schoergendorfer.com/post/why-didnt-it-check-unsupported-final-claims-and-their-repair-in-two-tool-equippeSecFeedde2026-08-31T07:17:41.191653+00:00Why Didn't It Check? Unsupported Final Claims and Their Repair in Two Tool-Equipped Language Modelshttps://blog.schoergendorfer.com/post/semantic-watermarking-with-order-robust-detection-over-sub-sentence-unitsSecFeedde2026-08-31T07:17:41.145346+00:00Semantic Watermarking with Order-Robust Detection over Sub-sentence Unitshttps://blog.schoergendorfer.com/post/retrieving-relations-detecting-fallacies-a-rag-approach-to-political-debate-analSecFeedde2026-08-31T07:17:41.121629+00:00Retrieving Relations, Detecting Fallacies: A RAG Approach to Political Debate Analysishttps://blog.schoergendorfer.com/post/a-formal-limitation-on-learning-human-language-from-textual-corporaSecFeedde2026-08-31T07:03:10.589545+00:00A Formal Limitation on Learning Human Language From Textual Corporahttps://blog.schoergendorfer.com/post/ladders-in-chaos-when-how-and-perhaps-why-does-test-time-scaling-improve-llm-macSecFeedde2026-08-31T07:03:10.566040+00:00Ladders in Chaos: When, How, (and Perhaps Why) Does Test-Time Scaling Improve LLM Machine Translationhttps://blog.schoergendorfer.com/post/phoneme-and-word-level-metrics-using-self-supervised-speech-representations-forSecFeedde2026-08-31T07:03:10.543786+00:00Phoneme- and Word-Level Metrics Using Self-Supervised Speech Representations for Forced Alignment Evaluationhttps://blog.schoergendorfer.com/post/nl2agbench-benchmarking-llm-auto-formalization-for-alphageometrySecFeedde2026-08-31T07:03:10.520637+00:00NL2AGBench: Benchmarking LLM Auto-Formalization for AlphaGeometryhttps://blog.schoergendorfer.com/post/blind-men-and-the-elephant-probing-the-epistemic-myopia-of-llms-under-long-tailSecFeedde2026-08-31T07:03:10.497705+00:00Blind Men and the Elephant: Probing the Epistemic Myopia of LLMs under Long-Tail Divergent Knowledgehttps://blog.schoergendorfer.com/post/contextpilot-teaching-agents-for-proactive-context-management-via-fine-grained-rSecFeedde2026-08-31T07:03:10.475098+00:00ContextPilot: Teaching Agents for Proactive Context Management via Fine-grained RLhttps://blog.schoergendorfer.com/post/fidelity-is-not-enough-dispatch-level-instrumentation-for-agentic-datasheet-extrSecFeedde2026-08-31T07:03:10.451328+00:00Fidelity Is Not Enough: Dispatch-Level Instrumentation for Agentic Datasheet Extractionhttps://blog.schoergendorfer.com/post/stranger-fan-or-peer-a-systematic-study-on-the-role-of-interlocutor-in-persona-bSecFeedde2026-08-31T07:03:10.428686+00:00Stranger, Fan, or Peer? A Systematic Study on the Role of Interlocutor in Persona-Based Dialogue Generationhttps://blog.schoergendorfer.com/post/are-these-modules-worth-their-cost-a-paradigm-level-accuracy-cost-analysis-of-inSecFeedde2026-08-31T07:03:10.404577+00:00Are These Modules Worth Their Cost? A Paradigm-Level Accuracy-Cost Analysis of In-context Learning Text-to-SQLhttps://blog.schoergendorfer.com/post/a-unified-framework-to-elicit-structured-feedback-for-interpretable-multi-traitSecFeedde2026-08-31T07:03:10.381355+00:00A Unified Framework to Elicit Structured Feedback for Interpretable Multi-Trait Essay Scoringhttps://blog.schoergendorfer.com/post/cultureconverse-a-multilingual-multi-turn-simulation-harness-for-culturally-grouSecFeedde2026-08-31T07:03:10.353845+00:00CultureConverse: A Multilingual Multi-turn Simulation Harness for Culturally Grounded Assistance in East and Southeast Asiahttps://blog.schoergendorfer.com/post/when-linguistic-and-internal-confidence-diverge-in-large-language-modelsSecFeedde2026-08-31T07:03:10.329540+00:00When Linguistic and Internal Confidence Diverge in Large Language Modelshttps://blog.schoergendorfer.com/post/personaforge-realistic-multi-turn-user-simulation-for-agentic-systemsSecFeedde2026-08-31T07:03:10.305214+00:00PersonaForge: Realistic Multi-Turn User Simulation for Agentic Systemshttps://blog.schoergendorfer.com/post/a-probabilistic-interpretation-of-kv-cache-evictionSecFeedde2026-08-31T07:03:10.281909+00:00A Probabilistic Interpretation of KV Cache Evictionhttps://blog.schoergendorfer.com/post/embedding-models-for-stance-aware-argument-retrievalSecFeedde2026-08-31T07:03:10.259527+00:00Embedding Models for Stance-Aware Argument Retrievalhttps://blog.schoergendorfer.com/post/text-restoration-of-ancient-documents-with-language-modelsSecFeedde2026-08-31T07:03:10.235936+00:00Text Restoration of Ancient Documents with Language Modelshttps://blog.schoergendorfer.com/post/nested-byte-level-vocabularies-are-cheap-to-deploy-and-expensive-to-share-a-preSecFeedde2026-08-31T07:03:10.208648+00:00Nested Byte-Level Vocabularies Are Cheap to Deploy and Expensive to Share: A Pre-Registered Negative Resulthttps://blog.schoergendorfer.com/post/finexam-10k-when-retrieval-helps-financial-reasoningSecFeedde2026-08-31T07:03:10.185848+00:00FinExam-10K: When Retrieval Helps Financial Reasoning?https://blog.schoergendorfer.com/post/h-scale-hessian-guided-scale-refinement-for-nvfp4-sub-byte-llm-inferenceSecFeedde2026-08-31T07:03:10.164531+00:00H-Scale: Hessian-Guided Scale Refinement for NVFP4 Sub-Byte LLM Inferencehttps://blog.schoergendorfer.com/post/cneo-bench-diagnosing-large-language-models-on-chinese-neologismsSecFeedde2026-08-31T07:03:10.141588+00:00CNeo-Bench: Diagnosing Large Language Models on Chinese Neologismshttps://blog.schoergendorfer.com/post/simpcue-cue-based-prompting-for-multilingual-text-simplificationSecFeedde2026-08-31T06:47:37.946188+00:00SimpCue: Cue-Based Prompting for Multilingual Text Simplificationhttps://blog.schoergendorfer.com/post/beyond-global-scalars-synergizing-token-level-statistics-and-deep-semantics-forSecFeedde2026-08-31T06:47:37.894827+00:00Beyond Global Scalars: Synergizing Token-Level Statistics and Deep Semantics for Adversarial AIGC Text Detectionhttps://blog.schoergendorfer.com/post/predicting-turn-taking-outcomes-in-multi-party-conversation-interpretable-modellSecFeedde2026-08-31T06:47:37.869663+00:00Predicting Turn-Taking Outcomes in Multi-Party Conversation: Interpretable Modelling of Speech and Gaze Dynamics with Interpersonal Closenesshttps://blog.schoergendorfer.com/post/quorum-quality-optimized-routing-using-multiple-annotatorsSecFeedde2026-08-31T06:47:37.845670+00:00QUORUM: QUality-Optimized Routing Using Multiple annotatorshttps://blog.schoergendorfer.com/post/entity-memory-graph-retrieval-improves-evidence-coverage-in-long-conversation-quSecFeedde2026-08-31T06:47:37.792818+00:00Entity-Memory Graph Retrieval Improves Evidence Coverage in Long-Conversation Question Answeringhttps://blog.schoergendorfer.com/post/what-makes-agent-memory-useful-for-reliable-unanswerable-question-handlingSecFeedde2026-08-31T06:47:37.761766+00:00What Makes Agent Memory Useful for Reliable Unanswerable Question Handling?https://blog.schoergendorfer.com/post/landingagent-a-reference-annotated-dataset-and-agentic-generation-framework-forSecFeedde2026-08-31T06:47:37.732118+00:00LandingAgent: A Reference-Annotated Dataset and Agentic Generation Framework for Landing Pageshttps://blog.schoergendorfer.com/post/ai-writers-have-a-consistent-stylometric-footprint-but-ai-editors-do-notSecFeedde2026-08-31T06:47:37.707943+00:00AI Writers Have a Consistent Stylometric Footprint, but AI Editors Do Nothttps://blog.schoergendorfer.com/post/evoharmbench-breaking-content-moderation-with-iterative-human-like-evasionSecFeedde2026-08-31T06:47:37.679420+00:00EvoHarmBench: Breaking Content Moderation with Iterative Human-Like Evasionhttps://blog.schoergendorfer.com/post/synthetic-linguistic-agency-how-an-embodied-mortal-agent-learns-linguistic-afforSecFeedde2026-08-31T06:47:37.649644+00:00Synthetic Linguistic Agency: How an Embodied Mortal Agent Learns Linguistic Affordances through Consequential Social Experiencehttps://blog.schoergendorfer.com/post/personaedit-representative-sample-selection-for-personalized-model-editingSecFeedde2026-08-31T06:47:37.622905+00:00PersonaEdit: Representative Sample Selection for Personalized Model Editinghttps://blog.schoergendorfer.com/post/representation-of-syntax-in-llms-through-the-lens-of-linear-distance-and-similarSecFeedde2026-08-31T06:47:37.598694+00:00Representation of syntax in LLMs through the lens of linear distance and similarity-aware entropyhttps://blog.schoergendorfer.com/post/compositional-failure-in-audio-visual-llms-late-layer-prior-dominance-under-crosSecFeedde2026-08-31T06:47:37.573154+00:00Compositional Failure in Audio-Visual LLMs: Late-Layer Prior Dominance Under Cross-modal Conflicthttps://blog.schoergendorfer.com/post/load-bearing-context-the-question-damage-score-for-evaluating-context-reliance-iSecFeedde2026-08-31T06:47:37.521665+00:00Load-Bearing Context: The Question Damage Score for Evaluating Context Reliance in Linguistic Reasoninghttps://blog.schoergendorfer.com/post/below-the-noise-floor-bimodal-seed-collapse-and-distinct-failure-modes-in-smallSecFeedde2026-08-31T06:47:37.493132+00:00Below the Noise Floor: Bimodal Seed Collapse and Distinct Failure Modes in Small-Model Knowledge Distillationhttps://blog.schoergendorfer.com/post/first-make-it-playable-then-make-it-good-staged-interaction-learning-for-small-dSecFeedde2026-08-31T06:47:37.467408+00:00First Make It Playable, Then Make It Good: Staged Interaction Learning for Small Dialogue-Game Agentshttps://blog.schoergendorfer.com/post/knowing-before-answering-decoding-language-models-for-reliable-ragSecFeedde2026-08-31T06:47:37.438023+00:00Knowing Before Answering: Decoding Language Models for Reliable RAGhttps://blog.schoergendorfer.com/post/when-tokenizers-fail-byte-level-chunking-for-zero-shot-transfer-to-low-resourceSecFeedde2026-08-31T06:32:23.483241+00:00When Tokenizers Fail: Byte-Level Chunking for Zero-Shot Transfer to Low-Resource Languageshttps://blog.schoergendorfer.com/post/trajectory-level-speculative-decoding-for-diffusion-language-modelsSecFeedde2026-08-31T06:32:23.460665+00:00Trajectory-Level Speculative Decoding for Diffusion Language Modelshttps://blog.schoergendorfer.com/post/a-survey-on-rubric-guided-reinforcement-learning-for-language-modelsSecFeedde2026-08-31T06:32:23.438269+00:00A Survey on Rubric-Guided Reinforcement Learning for Language Modelshttps://blog.schoergendorfer.com/post/inspire-an-internalize-then-improve-approach-for-example-driven-mathematical-reaSecFeedde2026-08-31T06:32:23.414900+00:00INSPIRE: An Internalize-Then-Improve Approach for Example-Driven Mathematical Reasoninghttps://blog.schoergendorfer.com/post/xhotpotqa-a-benchmark-for-cross-lingual-knowledge-composition-in-multi-hop-questSecFeedde2026-08-31T06:32:23.390759+00:00XHotpotQA: A Benchmark for Cross-Lingual Knowledge Composition in Multi-Hop Question Answeringhttps://blog.schoergendorfer.com/post/select-dont-train-the-benefits-of-modular-entity-disambiguation-with-llm-based-sSecFeedde2026-08-31T06:32:23.368753+00:00Select, Don't Train: The Benefits of Modular Entity Disambiguation with LLM-Based Selectionhttps://blog.schoergendorfer.com/post/uic-aihealth4all-at-archehr-qa-2026-answer-first-evidence-grounding-for-clinicalSecFeedde2026-08-31T06:32:23.344714+00:00UIC-AIHealth4All at ArchEHR-QA 2026: Answer-First Evidence Grounding for Clinical Question Answeringhttps://blog.schoergendorfer.com/post/pace-publisher-adaptive-content-extraction-via-agentic-automationSecFeedde2026-08-31T06:32:23.321533+00:00PACE: Publisher-Adaptive Content Extraction via Agentic Automationhttps://blog.schoergendorfer.com/post/the-effect-of-emotional-context-on-large-language-models-endorsement-of-prematurSecFeedde2026-08-31T06:32:23.298268+00:00The Effect of Emotional Context on Large Language Models' Endorsement of Premature Decisions: Comparing Emotional Vulnerability Across Six Commercial Modelshttps://blog.schoergendorfer.com/post/sledgehammer-or-scalpel-a-fine-grained-adaptive-framework-for-implicit-hate-speeSecFeedde2026-08-31T06:32:23.275307+00:00Sledgehammer or Scalpel? A Fine-grained Adaptive Framework for Implicit Hate Speechhttps://blog.schoergendorfer.com/post/semantic-overlays-mitigating-prompt-injection-with-annotations-beyond-tokens-and-2SecFeedde2026-08-31T06:32:23.253263+00:00Semantic Overlays: Mitigating Prompt Injection with Annotations Beyond Tokens and Steering Vectorshttps://blog.schoergendorfer.com/post/gan-diff-coupling-pretrained-wgan-gp-features-with-conditional-diffusion-u-nets-2SecFeedde2026-08-31T06:32:23.228696+00:00GAN-Diff : Coupling Pretrained WGAN-GP Features with Conditional Diffusion U-Netshttps://blog.schoergendorfer.com/post/what-neural-network-field-theory-can-and-cannot-realise-on-a-computerSecFeedde2026-08-31T06:32:23.204678+00:00What Neural Network Field Theory Can and Cannot Realise on a Computerhttps://blog.schoergendorfer.com/post/juryprobe-an-empirical-consensus-risk-diagnostic-for-routing-reference-free-fact-2SecFeedde2026-08-31T06:32:23.181552+00:00JuryProbe: An Empirical Consensus-Risk Diagnostic for Routing Reference-Free Factuality Judge Panels to Grounded Verificationhttps://blog.schoergendorfer.com/post/establishing-boundary-kkt-convergence-of-mirror-descent-through-reparameterizatiSecFeedde2026-08-31T06:32:23.155464+00:00Establishing Boundary KKT Convergence of Mirror Descent through Reparameterizationhttps://blog.schoergendorfer.com/post/where-steering-signals-come-from-activation-source-selection-in-activation-steer-2SecFeedde2026-08-31T06:32:23.133665+00:00Where Steering Signals Come From: Activation Source Selection in Activation Steeringhttps://blog.schoergendorfer.com/post/robust-chance-constrained-optimization-using-a-continuous-parameter-space-wasser-2SecFeedde2026-08-31T06:32:23.109677+00:00Robust Chance-Constrained Optimization using a Continuous Parameter Space Wasserstein-2 Ambiguity Set of Gaussian Mixtureshttps://blog.schoergendorfer.com/post/an-end-to-end-hybrid-quantum-classical-sampling-workflow-for-discrete-markov-ran-2SecFeedde2026-08-31T06:32:23.083312+00:00An End-to-End Hybrid Quantum--Classical Sampling Workflow for Discrete Markov Random Fields: A Reproducible Case Studyhttps://blog.schoergendorfer.com/post/closing-the-operational-gap-in-semantic-cachingSecFeedde2026-08-31T06:32:23.059307+00:00Closing the Operational Gap in Semantic Cachinghttps://blog.schoergendorfer.com/post/tokenpilot-cache-efficient-context-management-for-llm-agentsSecFeedde2026-08-31T06:32:23.031690+00:00TokenPilot: Cache-Efficient Context Management for LLM Agentshttps://blog.schoergendorfer.com/post/recoursebench-a-modular-framework-for-reproducible-algorithmic-recourse-evaluatiSecFeedde2026-08-31T06:17:27.409817+00:00RecourseBench: A Modular Framework for Reproducible Algorithmic Recourse Evaluationhttps://blog.schoergendorfer.com/post/toolsense-a-diagnostic-framework-for-auditing-parametric-tool-knowledge-in-llmsSecFeedde2026-08-31T06:17:27.385776+00:00ToolSense: A Diagnostic Framework for Auditing Parametric Tool Knowledge in LLMshttps://blog.schoergendorfer.com/post/wino-a-weak-form-physics-informed-neural-operator-for-hyperelasticity-on-variabl-2SecFeedde2026-08-31T06:17:27.360729+00:00WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domainshttps://blog.schoergendorfer.com/post/skillsafetybench-evaluating-agent-safety-under-skill-facing-attack-surfacesSecFeedde2026-08-31T06:17:27.309983+00:00SkillSafetyBench: Evaluating Agent Safety under Skill-Facing Attack Surfaceshttps://blog.schoergendorfer.com/post/d3-gym-constructing-real-world-verifiable-environments-for-data-driven-discoverySecFeedde2026-08-31T06:17:27.283919+00:00D3-Gym: Constructing Real-World Verifiable Environments for Data-Driven Discoveryhttps://blog.schoergendorfer.com/post/prompts-without-evidence-how-neuroimaging-mentions-shift-clinical-vision-languagSecFeedde2026-08-31T06:17:27.196406+00:00Prompts Without Evidence: How Neuroimaging Mentions Shift Clinical Vision-Language Model Predictionshttps://blog.schoergendorfer.com/post/deflation-pinns-learning-multiple-solutions-for-pdes-and-landau-de-gennesSecFeedde2026-08-31T06:17:27.171675+00:00Deflation-PINNs: Learning Multiple Solutions for PDEs and Landau-de Genneshttps://blog.schoergendorfer.com/post/camera-agnostic-pruning-of-3d-gaussian-splats-via-descriptor-based-beta-evidence-2SecFeedde2026-08-31T06:17:27.147420+00:00Camera-Agnostic Pruning of 3D Gaussian Splats via Descriptor-Based Beta Evidencehttps://blog.schoergendorfer.com/post/the-autonomy-tax-defense-training-breaks-llm-agentsSecFeedde2026-08-31T06:17:27.123449+00:00The Autonomy Tax: Defense Training Breaks LLM Agentshttps://blog.schoergendorfer.com/post/agentic-kube-a-graph-enhanced-multi-agent-reinforcement-learning-framework-for-mSecFeedde2026-08-31T06:17:27.095631+00:00Agentic-Kube: A Graph-Enhanced Multi-Agent Reinforcement Learning Framework for Multi-Objective Kubernetes Schedulinghttps://blog.schoergendorfer.com/post/flowcorrect-efficient-interactive-correction-of-generative-flow-policies-for-robSecFeedde2026-08-31T06:17:27.067331+00:00FlowCorrect: Efficient Interactive Correction of Generative Flow Policies for Robotic Manipulationhttps://blog.schoergendorfer.com/post/mine-and-refine-optimizing-graded-relevance-in-e-commerce-semantic-search-retrieSecFeedde2026-08-31T06:17:27.041604+00:00Mine and Refine: Optimizing Graded Relevance in E-commerce Semantic Search Retrievalhttps://blog.schoergendorfer.com/post/robust-assortment-optimization-from-observational-dataSecFeedde2026-08-31T06:17:27.016189+00:00Robust Assortment Optimization from Observational Datahttps://blog.schoergendorfer.com/post/scale-self-uncertainty-conditioned-adaptive-looking-and-execution-for-vision-lanSecFeedde2026-08-31T06:17:26.991730+00:00SCALE: Self-uncertainty Conditioned Adaptive Looking and Execution for Vision-Language-Action Modelshttps://blog.schoergendorfer.com/post/learning-fast-monomial-orders-for-grobner-basis-computationsSecFeedde2026-08-31T06:17:26.970874+00:00Learning Fast Monomial Orders for Gr\"obner Basis Computationshttps://blog.schoergendorfer.com/post/aligning-agentic-world-models-via-knowledgeable-experience-learningSecFeedde2026-08-31T06:17:26.949213+00:00Aligning Agentic World Models via Knowledgeable Experience Learninghttps://blog.schoergendorfer.com/post/prequential-posteriorsSecFeedde2026-08-31T06:03:56.039578+00:00Prequential posteriorshttps://blog.schoergendorfer.com/post/think-at-hard-dynamic-looped-transformers-for-improved-reasoningSecFeedde2026-08-31T06:03:56.013386+00:00Think-at-Hard: Dynamic Looped Transformers for Improved Reasoninghttps://blog.schoergendorfer.com/post/multilingual-lexical-feature-analysis-of-spoken-language-for-predicting-major-deSecFeedde2026-08-31T06:03:55.992425+00:00Multilingual Lexical Feature Analysis of Spoken Language for Predicting Major Depression Symptom Severityhttps://blog.schoergendorfer.com/post/examining-the-robustness-of-physics-informed-neural-networks-to-noise-for-inversSecFeedde2026-08-31T06:03:55.950720+00:00Examining the robustness of Physics-Informed Neural Networks to noise for Inverse Problemshttps://blog.schoergendorfer.com/post/oceangym-a-benchmark-environment-for-underwater-embodied-agentsSecFeedde2026-08-31T06:03:55.927765+00:00OceanGym: A Benchmark Environment for Underwater Embodied Agentshttps://blog.schoergendorfer.com/post/probabilistic-symbolic-regression-for-equation-discovery-via-operator-induced-anSecFeedde2026-08-31T06:03:55.902924+00:00Probabilistic Symbolic Regression for Equation Discovery via Operator-induced and Regularized Symbolic Forestshttps://blog.schoergendorfer.com/post/automatic-pronunciation-error-detection-and-correction-of-the-holy-qurans-learneSecFeedde2026-08-31T06:03:55.876647+00:00Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learninghttps://blog.schoergendorfer.com/post/ampere-communication-efficient-and-high-accuracy-split-federated-learningSecFeedde2026-08-31T06:03:55.850545+00:00Ampere: Communication-Efficient and High-Accuracy Split Federated Learninghttps://blog.schoergendorfer.com/post/mixture-of-multicenter-experts-in-multimodal-ai-for-debiased-radiotherapy-targetSecFeedde2026-08-31T06:03:55.800446+00:00Mixture of Multicenter Experts in Multimodal AI for Debiased Radiotherapy Target Delineationhttps://blog.schoergendorfer.com/post/understanding-evolution-strategies-for-llm-reasoning-broader-reasoning-coverage-2SecFeedde2026-08-31T06:03:55.750097+00:00Understanding Evolution Strategies for LLM Reasoning: Broader Reasoning Coverage than GRPOhttps://blog.schoergendorfer.com/post/accurate-prediction-is-not-profitable-advice-profit-based-evaluation-of-machineSecFeedde2026-08-31T06:03:55.722572+00:00Accurate prediction is not profitable advice: profit-based evaluation of machine learning nitrogen recommendations in winter wheathttps://blog.schoergendorfer.com/post/neural-regression-with-embeddings-for-numerical-attribute-prediction-in-knowledg-2SecFeedde2026-08-31T06:03:55.693835+00:00Neural Regression with Embeddings for Numerical Attribute Prediction in Knowledge Graphshttps://blog.schoergendorfer.com/post/trust-the-mass-forced-weights-in-kv-cache-eviction-2SecFeedde2026-08-31T06:03:55.666986+00:00Trust the Mass: Forced Weights in KV-Cache Evictionhttps://blog.schoergendorfer.com/post/traceml-an-empirical-analysis-of-human-agent-planning-in-machine-learning-develo-2SecFeedde2026-08-31T06:03:55.633238+00:00TraceML: An Empirical Analysis of Human-Agent Planning in Machine Learning Developmenthttps://blog.schoergendorfer.com/post/on-policy-distillation-with-verifiable-reward-2SecFeedde2026-08-31T06:03:55.608319+00:00On-policy Distillation with Verifiable Rewardhttps://blog.schoergendorfer.com/post/jepa-x-cross-predictive-physics-grounding-for-forecastable-latent-dynamics-2SecFeedde2026-08-31T06:03:55.583229+00:00JEPA-x: Cross-Predictive Physics Grounding for Forecastable Latent Dynamicshttps://blog.schoergendorfer.com/post/ribospan-a-long-context-rna-foundation-model-for-versatile-rna-modelingSecFeedde2026-08-31T06:03:55.558200+00:00RIBOSPAN: A Long-Context RNA Foundation Model for Versatile RNA Modelinghttps://blog.schoergendorfer.com/post/how-architecture-and-training-affect-tpc-representations-across-experimentsSecFeedde2026-08-31T05:47:49.618907+00:00How Architecture and Training Affect TPC Representations Across Experimentshttps://blog.schoergendorfer.com/post/how-far-should-tokenization-go-predictive-effectiveness-and-relational-losslessnSecFeedde2026-08-31T05:47:49.595204+00:00How Far Should Tokenization Go? Predictive Effectiveness and Relational Losslessnesshttps://blog.schoergendorfer.com/post/recirculation-2SecFeedde2026-08-31T05:47:49.570021+00:00Recirculationhttps://blog.schoergendorfer.com/post/ed-csp-crystal-structure-prediction-from-electron-diffraction-3SecFeedde2026-08-31T05:47:49.542599+00:00ED-CSP: Crystal Structure Prediction from Electron Diffractionhttps://blog.schoergendorfer.com/post/locked-evaluation-surfaces-transfer-failure-and-sampling-depth-entanglement-in-cSecFeedde2026-08-31T05:47:49.516456+00:00Locked Evaluation Surfaces: Transfer Failure and Sampling-Depth Entanglement in CRISPRi Perturbation-Effect Predictionhttps://blog.schoergendorfer.com/post/specgradfilter-a-spectral-gradient-filtering-framework-for-taming-federated-hete-2SecFeedde2026-08-31T05:47:49.490521+00:00SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneityhttps://blog.schoergendorfer.com/post/on-the-depth-scalability-of-logic-gate-networks-3SecFeedde2026-08-31T05:47:49.465053+00:00On the Depth Scalability of Logic Gate Networkshttps://blog.schoergendorfer.com/post/the-discrete-log-clock-how-a-transformer-learns-modular-multiplicationSecFeedde2026-08-31T05:47:49.433154+00:00The Discrete-Log Clock: How a Transformer Learns Modular Multiplicationhttps://blog.schoergendorfer.com/post/erp-xttn-interpretable-prototype-guided-cross-attention-for-cross-subject-erp-clSecFeedde2026-08-31T05:47:49.405068+00:00ERP-XTTN: Interpretable Prototype-Guided Cross-Attention for Cross-Subject ERP Classificationhttps://blog.schoergendorfer.com/post/longds-bench-on-the-failure-of-long-horizon-agentic-data-analysisSecFeedde2026-08-31T05:47:49.355475+00:00LongDS-Bench: On the Failure of Long-Horizon Agentic Data Analysishttps://blog.schoergendorfer.com/post/negligible-in-size-significant-in-effect-on-scale-vectors-in-large-language-modeSecFeedde2026-08-31T05:47:49.328406+00:00Negligible in Size, Significant in Effect: On Scale Vectors in Large Language Modelshttps://blog.schoergendorfer.com/post/more-expressive-feedforward-layers-part-i-token-adaptive-mixing-of-activationsSecFeedde2026-08-31T05:47:49.301307+00:00More Expressive Feedforward Layers: Part I. Token-Adaptive Mixing of Activationshttps://blog.schoergendorfer.com/post/learned-relay-representations-for-forward-thinking-discrete-diffusion-modelsSecFeedde2026-08-31T05:47:49.275099+00:00Learned Relay Representations for Forward-Thinking Discrete Diffusion Modelshttps://blog.schoergendorfer.com/post/implicitterrainv2-wavelet-guided-spatially-adaptive-neural-terrain-representatio-2SecFeedde2026-08-31T05:47:49.250803+00:00ImplicitTerrainV2: Wavelet-Guided Spatially Adaptive Neural Terrain Representationhttps://blog.schoergendorfer.com/post/abc-any-subset-autoregression-via-non-markovian-diffusion-bridges-in-continuousSecFeedde2026-08-31T05:47:49.223264+00:00ABC: Any-Subset Autoregression via Non-Markovian Diffusion Bridges in Continuous Time and Spacehttps://blog.schoergendorfer.com/post/semenrich-self-supervised-semantic-enrichment-of-radiology-reports-for-vision-laSecFeedde2026-08-31T05:47:49.198073+00:00SemEnrich: Self-Supervised Semantic Enrichment of Radiology Reports for Vision-Language Learninghttps://blog.schoergendorfer.com/post/budget-constrained-causal-bandits-bridging-uplift-modeling-and-sequential-decisiSecFeedde2026-08-31T05:47:49.171814+00:00Budget-Constrained Causal Bandits: Bridging Uplift Modeling and Sequential Decision-Makinghttps://blog.schoergendorfer.com/post/policylong-towards-on-policy-context-extensionSecFeedde2026-08-31T05:47:49.146341+00:00PolicyLong: Towards On-Policy Context Extensionhttps://blog.schoergendorfer.com/post/var-jepa-a-variational-formulation-of-the-joint-embedding-predictive-architecturSecFeedde2026-08-31T05:47:49.116418+00:00Var-JEPA: A Variational Formulation of the Joint-Embedding Predictive Architecture - Bridging Predictive and Generative Self-Supervised Learninghttps://blog.schoergendorfer.com/post/infomamba-an-attention-free-hybrid-mamba-transformer-modelSecFeedde2026-08-31T05:32:38.194082+00:00InfoMamba: An Attention-Free Hybrid Mamba-Transformer Modelhttps://blog.schoergendorfer.com/post/bayesian-experimental-design-for-model-discrepancy-calibration-a-rivalry-betweenSecFeedde2026-08-31T05:32:38.145650+00:00Bayesian Experimental Design for Model Discrepancy Calibration: A Rivalry between Kullback--Leibler Divergence and Wasserstein Distancehttps://blog.schoergendorfer.com/post/the-instability-of-safety-how-random-seeds-and-temperature-expose-inconsistent-lSecFeedde2026-08-31T05:32:38.119378+00:00The Instability of Safety: How Random Seeds and Temperature Expose Inconsistent LLM Refusal Behaviorhttps://blog.schoergendorfer.com/post/aspiration-based-perturbed-learning-automata-in-games-with-noisy-utility-measureSecFeedde2026-08-31T05:32:38.091691+00:00Aspiration-based Perturbed Learning Automata in Games with Noisy Utility Measurements. Part A: Stochastic Stability in Non-zero-Sum Gameshttps://blog.schoergendorfer.com/post/large-reasoning-models-learn-better-alignment-from-flawed-thinkingSecFeedde2026-08-31T05:32:38.060750+00:00Large Reasoning Models Learn Better Alignment from Flawed Thinkinghttps://blog.schoergendorfer.com/post/one-model-for-all-universal-pre-training-for-eeg-based-emotion-recognition-acrosSecFeedde2026-08-31T05:32:38.034798+00:00One Model for All: Universal Pre-training for EEG based Emotion Recognition across Heterogeneous Datasets and Paradigmshttps://blog.schoergendorfer.com/post/shift-before-you-learn-enabling-low-rank-representations-in-reinforcement-learniSecFeedde2026-08-31T05:32:38.009783+00:00Shift Before You Learn: Enabling Low-Rank Representations in Reinforcement Learninghttps://blog.schoergendorfer.com/post/class-incremental-continual-learning-with-self-organizing-maps-and-synthetic-repSecFeedde2026-08-31T05:32:37.984371+00:00Class Incremental Continual Learning with Self-Organizing Maps and Synthetic Replayhttps://blog.schoergendorfer.com/post/attention-as-conditioning-what-classical-learning-theory-predicts-about-linear-tSecFeedde2026-08-31T05:32:37.956028+00:00Attention as Conditioning: What Classical Learning Theory Predicts About Linear Transformershttps://blog.schoergendorfer.com/post/regcl-compact-continual-sam-adaptation-for-visual-grounding-in-multi-sensorial-mSecFeedde2026-08-31T05:32:37.928010+00:00RegCL: Compact Continual SAM Adaptation for Visual Grounding in Multi-Sensorial Mediahttps://blog.schoergendorfer.com/post/meta-prompt-optimization-for-llm-based-sequential-decision-makingSecFeedde2026-08-31T05:32:37.898034+00:00Meta-Prompt Optimization for LLM-Based Sequential Decision Makinghttps://blog.schoergendorfer.com/post/amortizing-intractable-inference-in-diffusion-models-for-vision-language-and-conSecFeedde2026-08-31T05:32:37.870318+00:00Amortizing intractable inference in diffusion models for vision, language, and controlhttps://blog.schoergendorfer.com/post/biases-in-expected-goals-models-confound-finishing-abilitySecFeedde2026-08-31T05:32:37.815402+00:00Biases in Expected Goals Models Confound Finishing Abilityhttps://blog.schoergendorfer.com/post/joint-bayesian-inference-of-graphical-structure-and-parameters-with-a-single-genSecFeedde2026-08-31T05:32:37.785558+00:00Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Networkhttps://blog.schoergendorfer.com/post/let-the-flows-tell-solving-graph-combinatorial-optimization-problems-with-gflownSecFeedde2026-08-31T05:32:37.756034+00:00Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNetshttps://blog.schoergendorfer.com/post/transformer-based-autonomous-driving-models-and-deployment-oriented-compressionSecFeedde2026-08-31T05:32:37.731064+00:00Transformer-Based Autonomous Driving Models and Deployment-Oriented Compression: A Surveyhttps://blog.schoergendorfer.com/post/trajectory-balance-improved-credit-assignment-in-gflownetsSecFeedde2026-08-31T05:32:37.703487+00:00Trajectory balance: Improved credit assignment in GFlowNetshttps://blog.schoergendorfer.com/post/diffusion-models-as-plug-and-play-priorsSecFeedde2026-08-31T05:32:37.676115+00:00Diffusion models as plug-and-play priorshttps://blog.schoergendorfer.com/post/aero-hand-open-a-simulation-ready-tendon-driven-hand-for-dexterous-manipulationSecFeedde2026-08-31T05:17:23.806155+00:00Aero Hand Open: A Simulation-Ready Tendon-Driven Hand for Dexterous Manipulation Learninghttps://blog.schoergendorfer.com/post/learning-between-the-peaks-sharp-asymptotics-for-kernel-ridge-regression-under-pSecFeedde2026-08-31T05:17:23.733098+00:00Learning between the peaks: sharp asymptotics for kernel ridge regression under power-law anisotropyhttps://blog.schoergendorfer.com/post/acquire-repair-preserve-a-diagnosis-guided-post-training-recipe-for-small-modelSecFeedde2026-08-31T05:17:23.708413+00:00Acquire, Repair, Preserve: A Diagnosis-Guided Post-Training Recipe for Small-Model Dialogue Game Agentshttps://blog.schoergendorfer.com/post/generalized-splines-and-gaussian-processesSecFeedde2026-08-31T05:17:23.683113+00:00Generalized Splines and Gaussian Processeshttps://blog.schoergendorfer.com/post/sliding-window-beats-linear-attentionSecFeedde2026-08-31T05:17:23.654162+00:00Sliding-window beats linear attentionhttps://blog.schoergendorfer.com/post/post-training-vlms-for-video-mistake-detectionSecFeedde2026-08-31T05:17:23.626421+00:00Post-Training VLMs for Video Mistake Detectionhttps://blog.schoergendorfer.com/post/timing-aware-repurchase-prediction-for-web-scale-e-commerce-survival-models-forSecFeedde2026-08-31T05:17:23.601837+00:00Timing-Aware Repurchase Prediction for Web-Scale E-Commerce: Survival Models for Multi-Surface Grocery Recommendationhttps://blog.schoergendorfer.com/post/quantum-federated-learning-based-on-bures-uhlmann-geometry-for-heterogeneous-noiSecFeedde2026-08-31T05:17:23.576752+00:00Quantum Federated Learning Based on Bures--Uhlmann Geometry for Heterogeneous Noisy Clientshttps://blog.schoergendorfer.com/post/real-time-monitoring-of-mhd-liquid-metal-flows-with-shallow-recurrent-decodersSecFeedde2026-08-31T05:17:23.541604+00:00Real-Time Monitoring of MHD Liquid Metal Flows with Shallow Recurrent Decodershttps://blog.schoergendorfer.com/post/localizing-global-discrepancies-marginal-contributions-and-contextual-anomaly-deSecFeedde2026-08-31T05:17:23.518952+00:00Localizing Global Discrepancies: Marginal Contributions and Contextual Anomaly Detectionhttps://blog.schoergendorfer.com/post/gracegradient-guided-coreset-selection-for-llm-unlearningSecFeedde2026-08-31T05:17:23.492908+00:00GRACE:Gradient-guided Coreset Selection for LLM Unlearninghttps://blog.schoergendorfer.com/post/banglamed-qa-a-question-answering-system-for-healthcare-support-in-banglaSecFeedde2026-08-31T05:17:23.467598+00:00BanglaMed-QA: A Question Answering System for Healthcare Support in Banglahttps://blog.schoergendorfer.com/post/explainable-diabetic-retinopathy-classification-using-vision-foundation-modelsSecFeedde2026-08-31T05:17:23.394383+00:00Explainable Diabetic Retinopathy Classification Using Vision Foundation Modelshttps://blog.schoergendorfer.com/post/expose-explainable-and-domain-robust-embeddings-from-pathology-vision-foundationSecFeedde2026-08-31T05:17:23.367088+00:00EXPOSE: Explainable and Domain-Robust Embeddings from Pathology Vision Foundation Models using Sparse Autoencodershttps://blog.schoergendorfer.com/post/empowering-local-agriculture-a-deep-learning-powered-web-system-for-identifyingSecFeedde2026-08-31T05:17:23.336241+00:00Empowering Local Agriculture: A Deep Learning-Powered Web System for Identifying Bangladeshi Mango Varietieshttps://blog.schoergendorfer.com/post/under-mattress-temporal-sensing-for-next-day-agitation-risk-scoring-in-dementiaSecFeedde2026-08-31T05:02:43.928593+00:00Under-Mattress Temporal Sensing for Next-Day Agitation Risk Scoring in Dementia Wardshttps://blog.schoergendorfer.com/post/do-medical-vision-models-reason-about-anatomy-probing-the-spatial-inductive-biasSecFeedde2026-08-31T05:02:43.877567+00:00Do Medical Vision Models Reason About Anatomy? Probing the Spatial Inductive Biases of Learned Visual Representationshttps://blog.schoergendorfer.com/post/landau-theory-of-quenched-criticality-in-linear-in-context-learningSecFeedde2026-08-31T05:02:43.854275+00:00Landau theory of quenched criticality in linear in-context learninghttps://blog.schoergendorfer.com/post/emergent-aggregation-from-collective-foragingSecFeedde2026-08-31T05:02:43.824116+00:00Emergent aggregation from collective foraginghttps://blog.schoergendorfer.com/post/characterization-of-request-and-token-energy-costs-for-llm-inference-workloads-oSecFeedde2026-08-31T05:02:43.795702+00:00Characterization of Request and Token Energy Costs for LLM Inference Workloads on GPU Platformshttps://blog.schoergendorfer.com/post/twin-worlds-equivariance-based-abstention-for-evidence-grounded-reasoningSecFeedde2026-08-31T05:02:43.766746+00:00Twin Worlds: Equivariance-Based Abstention for Evidence-Grounded Reasoninghttps://blog.schoergendorfer.com/post/not-to-break-but-to-attest-adversarial-probes-for-privacy-preserving-llm-verificSecFeedde2026-08-31T05:02:43.740680+00:00Not to Break, but to Attest: Adversarial Probes for Privacy-Preserving LLM Verificationhttps://blog.schoergendorfer.com/post/openstamp-a-watermark-for-open-source-language-modelsSecFeedde2026-08-31T05:02:43.713180+00:00OpenStamp: A Watermark for Open-Source Language Modelshttps://blog.schoergendorfer.com/post/what-do-interaction-representations-actually-measure-pre-event-separability-in-wSecFeedde2026-08-31T05:02:43.685556+00:00What Do Interaction Representations Actually Measure? Pre-Event Separability in Weakly-Supervised Violence Detectionhttps://blog.schoergendorfer.com/post/realswe-a-compositional-evaluation-of-coding-agents-under-realistic-user-requestSecFeedde2026-08-31T05:02:43.637787+00:00RealSWE: A Compositional Evaluation of Coding Agents under Realistic User Requestshttps://blog.schoergendorfer.com/post/personalized-and-multi-view-representation-for-federated-cold-start-recommendatiSecFeedde2026-08-31T05:02:43.612542+00:00Personalized and Multi-View Representation for Federated Cold-Start Recommendationhttps://blog.schoergendorfer.com/post/cura-certified-runtime-alarms-for-computer-use-agentsSecFeedde2026-08-31T05:02:43.585847+00:00CURA: Certified Runtime Alarms for Computer-Use Agentshttps://blog.schoergendorfer.com/post/memorization-is-not-extraction-tight-differential-privacy-bounds-and-audit-blindSecFeedde2026-08-31T05:02:43.556754+00:00Memorization Is Not Extraction: Tight Differential-Privacy Bounds and Audit Blind Spotshttps://blog.schoergendorfer.com/post/beyond-procrustes-distances-a-multilinear-gromov-wasserstein-distance-capturingSecFeedde2026-08-31T05:02:43.533085+00:00Beyond Procrustes distances: a multilinear Gromov-Wasserstein distance capturing chiralityhttps://blog.schoergendorfer.com/post/on-the-computational-and-statistical-efficiency-of-the-empirical-maximum-entropySecFeedde2026-08-31T05:02:43.508528+00:00On the Computational and Statistical Efficiency of the Empirical Maximum Entropy on the Mean Methodhttps://blog.schoergendorfer.com/post/cardinal-predicts-cardiovascular-risk-from-non-contrast-cardiac-ctSecFeedde2026-08-31T05:02:43.483636+00:00CARDINAL Predicts Cardiovascular Risk From Non-contrast Cardiac CThttps://blog.schoergendorfer.com/post/quantum-sedonet-spectrally-embedded-quantum-deep-operator-networks-for-partial-dSecFeedde2026-08-31T05:02:43.457353+00:00Quantum SEDONet: Spectrally-Embedded Quantum Deep Operator Networks for Partial Differential Equationshttps://blog.schoergendorfer.com/post/depth-aware-pothole-detection-using-yolo-and-rt-detr-at-the-edgeSecFeedde2026-08-31T05:02:43.430479+00:00Depth-Aware Pothole Detection Using YOLO and RT-DETR at the Edgehttps://blog.schoergendorfer.com/post/tensor-accelerated-eager-multi-resolution-grids-for-evolving-large-scale-substraSecFeedde2026-08-31T04:47:42.745069+00:00Tensor-Accelerated Eager Multi-Resolution Grids for Evolving Large-Scale Substrateshttps://blog.schoergendorfer.com/post/physics-informed-learning-for-the-inverse-problem-in-resonant-ultrasound-spectroSecFeedde2026-08-31T04:47:42.713126+00:00Physics-informed learning for the inverse problem in resonant ultrasound spectroscopyhttps://blog.schoergendorfer.com/post/towards-a-mathematical-theory-of-superpositionSecFeedde2026-08-31T04:47:42.656943+00:00Towards a mathematical theory of superpositionhttps://blog.schoergendorfer.com/post/destroy-me-automatic-artifact-generation-for-histopathology-imagesSecFeedde2026-08-31T04:47:42.603849+00:00Destroy Me: Automatic Artifact Generation for Histopathology Imageshttps://blog.schoergendorfer.com/post/how-do-linear-probes-emerge-a-circuit-tracing-framework-with-concept-targeted-atSecFeedde2026-08-31T04:47:42.579335+00:00How Do Linear Probes Emerge? A Circuit-Tracing Framework with Concept-Targeted Attributionhttps://blog.schoergendorfer.com/post/multiscale-community-based-fingerprinting-of-signed-functional-networksSecFeedde2026-08-31T04:47:42.524397+00:00Multiscale Community-Based Fingerprinting of Signed Functional Networkshttps://blog.schoergendorfer.com/post/effectiveness-of-iot-and-deep-learning-for-detection-and-severity-assessment-ofSecFeedde2026-08-31T04:47:42.494305+00:00Effectiveness of IoT and Deep Learning for Detection and Severity Assessment of Postelectrotermes militaris in Tea Plantationshttps://blog.schoergendorfer.com/post/hypothesize-evaluate-refine-a-scientific-agent-for-pde-discovery-with-unknown-spSecFeedde2026-08-31T04:47:42.461798+00:00Hypothesize, Evaluate, Refine: A Scientific Agent for PDE Discovery with Unknown Spatial Coefficient Fieldshttps://blog.schoergendorfer.com/post/scirec-diagnostic-evaluation-of-multimodal-multi-turn-relational-reasoning-withSecFeedde2026-08-31T04:47:42.432548+00:00SciReC: Diagnostic Evaluation of Multimodal, Multi-Turn Relational Reasoning with Adaptive Interactionhttps://blog.schoergendorfer.com/post/qgpinns-a-physics-informed-neural-network-framework-for-nonlocal-differential-eqSecFeedde2026-08-31T04:47:42.372259+00:00QGPINNs: A Physics-Informed Neural Network Framework for Nonlocal Differential Equations on Quantum Graphshttps://blog.schoergendorfer.com/post/blog-survey-of-optimizersSecFeedde2026-08-31T04:47:42.339449+00:00Blog: Survey of Optimizershttps://blog.schoergendorfer.com/post/advancing-interaction-sensitive-feature-selection-novel-relief-based-algorithmsSecFeedde2026-08-31T04:47:42.308682+00:00Advancing Interaction-Sensitive Feature Selection: Novel Relief-Based Algorithms, Expanded Comparisons, and Recommendations for Biomedical Data Mininghttps://blog.schoergendorfer.com/post/darts-decoder-aware-representation-tuning-via-surgery-for-model-mergingSecFeedde2026-08-31T04:47:42.274110+00:00DARTS: Decoder-Aware Representation Tuning via Surgery for Model Merginghttps://blog.schoergendorfer.com/post/an-enclosed-mode-is-a-gauge-choice-topology-relative-to-reach-in-certified-codeSecFeedde2026-08-31T04:47:42.250229+00:00An Enclosed Mode Is a Gauge Choice: Topology Relative to Reach in Certified Code World Modelshttps://blog.schoergendorfer.com/post/replicant-learning-policies-for-evading-and-hardening-malware-detectorsSecFeedde2026-08-31T04:47:42.219019+00:00REPLICANT: Learning Policies for Evading and Hardening Malware Detectorshttps://blog.schoergendorfer.com/post/how-proper-scoring-rules-shape-llm-forecastingSecFeedde2026-08-31T04:47:42.189241+00:00How Proper Scoring Rules Shape LLM Forecastinghttps://blog.schoergendorfer.com/post/curvature-conditioned-multiscale-momentum-with-sphere-constraints-for-llm-pretraSecFeedde2026-08-31T04:32:26.285237+00:00Curvature-Conditioned Multiscale Momentum with Sphere Constraints for LLM Pretraininghttps://blog.schoergendorfer.com/post/euclidean-fourier-neural-operatorsSecFeedde2026-08-31T04:32:26.259150+00:00Euclidean Fourier Neural Operatorshttps://blog.schoergendorfer.com/post/symbollm-fe-llm-accelerated-symbolic-regression-for-automated-feature-engineerinSecFeedde2026-08-31T04:32:26.232086+00:00SymboLLM-FE: LLM-Accelerated Symbolic Regression for Automated Feature Engineering on Tabular Datahttps://blog.schoergendorfer.com/post/deriving-scaling-laws-for-openeurollm-models-learning-rate-batch-size-and-lossSecFeedde2026-08-31T04:32:26.205387+00:00Deriving Scaling Laws for OpenEuroLLM Models: Learning Rate, Batch Size and Losshttps://blog.schoergendorfer.com/post/vista-verifier-informed-student-to-teacher-adaptation-for-on-policy-self-distillSecFeedde2026-08-31T04:32:26.177210+00:00VISTA: Verifier-Informed Student-to-Teacher Adaptation for On-Policy Self-Distillationhttps://blog.schoergendorfer.com/post/parser-states-already-know-structure-conditioned-kv-persistence-for-structured-gSecFeedde2026-08-31T04:32:26.145775+00:00Parser States Already Know: Structure-Conditioned KV Persistence for Structured Generationhttps://blog.schoergendorfer.com/post/learning-to-transfer-across-modes-towards-unified-urban-mobility-forecastingSecFeedde2026-08-31T04:32:26.096060+00:00Learning to Transfer Across Modes: Towards Unified Urban Mobility Forecastinghttps://blog.schoergendorfer.com/post/residual-guided-randomized-neural-networksSecFeedde2026-08-31T04:32:26.066092+00:00Residual-Guided Randomized Neural Networkshttps://blog.schoergendorfer.com/post/sinkslot-sinkhorn-via-sparse-lifted-optimal-transportSecFeedde2026-08-31T04:32:26.035080+00:00SinkSLOT: Sinkhorn via Sparse Lifted Optimal Transporthttps://blog.schoergendorfer.com/post/spectral-features-dominate-bcg-respiratory-event-detection-a-large-scale-patientSecFeedde2026-08-31T04:32:26.010371+00:00Spectral Features Dominate BCG Respiratory-Event Detection: A Large-Scale Patient-Independent Comparison of Feature Groups in Sleep Apnea Patientshttps://blog.schoergendorfer.com/post/efficient-online-continual-foundation-model-fine-tuning-for-predictive-process-mSecFeedde2026-08-31T04:32:25.984613+00:00Efficient Online Continual Foundation Model Fine-Tuning for Predictive Process Monitoringhttps://blog.schoergendorfer.com/post/d-taia-domain-aware-llm-adaptation-for-multi-task-predictive-process-monitoringSecFeedde2026-08-31T04:32:25.956887+00:00D-TAIA: Domain-Aware LLM Adaptation for Multi-Task Predictive Process Monitoringhttps://blog.schoergendorfer.com/post/generalized-context-in-cross-attention-for-transfer-learning-of-disjoint-tabularSecFeedde2026-08-31T04:32:25.930519+00:00Generalized Context in Cross Attention for Transfer Learning of Disjoint Tabular Datahttps://blog.schoergendorfer.com/post/performative-privacy-when-differential-privacy-maximizes-utilitySecFeedde2026-08-31T04:32:25.903692+00:00Performative Privacy: When Differential Privacy Maximizes Utilityhttps://blog.schoergendorfer.com/post/biologically-inspired-mechanisms-for-facilitating-grokking-in-multilayer-perceptSecFeedde2026-08-31T04:32:25.854123+00:00Biologically Inspired Mechanisms for Facilitating Grokking in Multilayer Perceptronshttps://blog.schoergendorfer.com/post/harts-efficient-agentic-reinforcement-learning-for-hybrid-attention-models-overSecFeedde2026-08-31T04:32:25.826344+00:00HARTS: Efficient Agentic Reinforcement Learning for Hybrid-Attention Models over Arbitrary Rollout Treeshttps://blog.schoergendorfer.com/post/the-approximation-rank-of-softmax-attention-sharp-geometric-laws-and-robust-inteSecFeedde2026-08-31T04:32:25.797258+00:00The Approximation Rank of Softmax Attention: Sharp Geometric Laws and Robust Interaction Dimensionhttps://blog.schoergendorfer.com/post/conditional-diffusion-models-for-energy-efficient-drivingSecFeedde2026-08-31T04:32:25.763778+00:00Conditional Diffusion Models for Energy-Efficient Drivinghttps://blog.schoergendorfer.com/post/learning-to-difference-adaptive-reversible-differencing-adardiff-for-time-seriesSecFeedde2026-08-31T04:18:49.389547+00:00Learning to Difference: Adaptive Reversible Differencing (AdaRDiff) for Time Series Forecastinghttps://blog.schoergendorfer.com/post/vict-verifier-instrumented-credit-tracing-for-long-horizon-llm-agent-reinforcemeSecFeedde2026-08-31T04:18:49.360373+00:00VICT: Verifier-Instrumented Credit Tracing for Long-Horizon LLM Agent Reinforcement Learninghttps://blog.schoergendorfer.com/post/generalized-gibbs-ensemble-weighting-for-forecast-combinationSecFeedde2026-08-31T04:18:49.331549+00:00Generalized Gibbs Ensemble Weighting for Forecast Combinationhttps://blog.schoergendorfer.com/post/comparing-classical-and-quantum-machine-learning-for-regression-in-high-energy-pSecFeedde2026-08-31T04:18:49.302419+00:00Comparing Classical and Quantum Machine Learning for Regression in High Energy Physics Collision Datahttps://blog.schoergendorfer.com/post/explainable-uncertainty-estimation-for-reliable-medical-aiSecFeedde2026-08-31T04:18:49.273928+00:00Explainable Uncertainty Estimation for Reliable Medical AIhttps://blog.schoergendorfer.com/post/when-can-conditional-flow-matching-replace-pointwise-negative-log-likelihoodSecFeedde2026-08-31T04:18:49.245059+00:00When Can Conditional Flow Matching Replace Pointwise Negative Log-Likelihood?https://blog.schoergendorfer.com/post/exact-risk-ratios-for-weighted-data-selection-in-linear-regressionSecFeedde2026-08-31T04:18:49.220822+00:00Exact Risk Ratios for Weighted Data Selection in Linear Regressionhttps://blog.schoergendorfer.com/post/is-monte-carlo-tree-search-just-every-visit-monte-carlo-controlSecFeedde2026-08-31T04:18:49.190160+00:00Is Monte Carlo Tree Search Just Every-Visit Monte Carlo Control?https://blog.schoergendorfer.com/post/a-method-for-layer-bit-width-allocation-in-llm-quantization-via-performance-maxiSecFeedde2026-08-31T04:18:49.162606+00:00A Method for Layer Bit-Width Allocation in LLM Quantization via Performance Maximization Under a Quality-Degradation Constrainthttps://blog.schoergendorfer.com/post/phymamba-physics-modulated-mamba-for-robust-battery-health-prognosticsSecFeedde2026-08-31T04:18:49.133729+00:00PhyMamba: Physics-Modulated Mamba for Robust Battery Health Prognosticshttps://blog.schoergendorfer.com/post/temporal-memory-aware-online-test-time-adaptation-on-dynamic-graphsSecFeedde2026-08-31T04:18:49.102937+00:00Temporal Memory-Aware Online Test-Time Adaptation on Dynamic Graphshttps://blog.schoergendorfer.com/post/ti2ps-a-topology-informed-inverse-design-framework-for-stochastic-multicellularSecFeedde2026-08-31T04:18:49.071609+00:00TI$^2$PS: A Topology-Informed Inverse Design Framework for Stochastic Multicellular Pattern Formationhttps://blog.schoergendorfer.com/post/tacit-switch-cost-aware-model-escalation-for-llm-agents-from-censored-supervisioSecFeedde2026-08-31T04:18:49.042531+00:00TACIT-Switch: Cost-Aware Model Escalation for LLM Agents from Censored Supervisionhttps://blog.schoergendorfer.com/post/beyond-pairwise-graphs-in-science-hypergraph-adaptive-wavelet-operators-for-paraSecFeedde2026-08-31T04:18:48.986570+00:00Beyond Pairwise Graphs in Science: Hypergraph Adaptive Wavelet Operators for Parametric PDEshttps://blog.schoergendorfer.com/post/somtab-set-order-mamba-for-efficient-tabular-in-context-learningSecFeedde2026-08-31T04:18:48.960224+00:00SOMTab: Set-Order Mamba for Efficient Tabular In-Context Learninghttps://blog.schoergendorfer.com/post/fedehr-agents-federated-agentic-optimization-for-automated-ehr-modelingSecFeedde2026-08-31T04:18:48.929539+00:00FedEHR-Agents: Federated Agentic Optimization for Automated EHR Modelinghttps://blog.schoergendorfer.com/post/actionable-cbfi-integrating-structural-decomposition-and-causal-counterfactual-rSecFeedde2026-08-31T04:18:48.903697+00:00Actionable CBFI: Integrating Structural Decomposition and Causal Counterfactual Recourse for Tabular Machine Learninghttps://blog.schoergendorfer.com/post/initialization-is-critical-advancing-federated-short-term-load-forecasting-underSecFeedde2026-08-31T04:18:48.853276+00:00Initialization Is Critical: Advancing Federated Short-Term Load Forecasting under Load Heterogeneity via Model Initializationhttps://blog.schoergendorfer.com/post/beyond-search-imitation-prior-directed-exploration-for-searchless-chessSecFeedde2026-08-31T04:02:24.001395+00:00Beyond Search-Imitation: Prior-Directed Exploration for Searchless Chesshttps://blog.schoergendorfer.com/post/the-calls-are-coming-from-inside-the-model-investigating-probe-based-detection-oSecFeedde2026-08-31T04:02:23.972490+00:00The Calls are Coming from Inside the Model: Investigating Probe-based Detection of Tool-Calling Errors in LLMshttps://blog.schoergendorfer.com/post/leveraging-a-foundation-model-for-the-eeg-based-diagnosis-of-alzheimers-diseaseSecFeedde2026-08-31T04:02:23.924383+00:00Leveraging a Foundation Model for the EEG-Based Diagnosis of Alzheimer's Diseasehttps://blog.schoergendorfer.com/post/beyond-non-iid-learner-client-distribution-mismatch-in-federated-learningSecFeedde2026-08-31T04:02:23.899380+00:00Beyond Non-IID: Learner--Client Distribution Mismatch in Federated Learninghttps://blog.schoergendorfer.com/post/riskblend-a-multi-signal-framework-for-test-input-prioritization-in-machine-learSecFeedde2026-08-31T04:02:23.870231+00:00RiskBlend: A Multi-Signal Framework for Test Input Prioritization in Machine Learning Regression Testinghttps://blog.schoergendorfer.com/post/dart-fl-burst-aware-multitask-federated-learning-under-dynamic-inference-demandSecFeedde2026-08-31T04:02:23.839584+00:00DART-FL: Burst-Aware Multitask Federated Learning under Dynamic Inference Demand at the Edgehttps://blog.schoergendorfer.com/post/safestep-an-interactive-demonstration-of-semantic-communication-for-pedestrian-sSecFeedde2026-08-31T04:02:23.814747+00:00SafeStep: An Interactive Demonstration of Semantic Communication for Pedestrian Safety Monitoringhttps://blog.schoergendorfer.com/post/segbench-gc-testing-segmentation-invariance-in-multi-step-offline-goal-conditionSecFeedde2026-08-31T04:02:23.783810+00:00SegBench-GC: Testing Segmentation Invariance in Multi-Step Offline Goal-Conditioned Reinforcement Learninghttps://blog.schoergendorfer.com/post/unsupervised-continual-learning-with-growing-self-organizing-maps-and-syntheticSecFeedde2026-08-31T04:02:23.758467+00:00Unsupervised Continual Learning with Growing Self-Organizing Maps and Synthetic Replayhttps://blog.schoergendorfer.com/post/curvature-aware-radius-shrinkage-for-adaptive-nearest-neighbor-classificationSecFeedde2026-08-31T04:02:23.730676+00:00Curvature-Aware Radius Shrinkage for Adaptive Nearest Neighbor Classificationhttps://blog.schoergendorfer.com/post/more-data-cannot-break-a-symmetry-identifiability-by-designSecFeedde2026-08-31T04:02:23.705082+00:00More Data Cannot Break a Symmetry: Identifiability by Designhttps://blog.schoergendorfer.com/post/self-explainable-multi-label-graph-neural-network-for-correlated-evidence-attribSecFeedde2026-08-31T04:02:23.678769+00:00Self-Explainable Multi-Label Graph Neural Network for Correlated Evidence Attributionhttps://blog.schoergendorfer.com/post/dandelion-a-spherical-flower-for-neural-simulation-of-planetary-dynamicsSecFeedde2026-08-31T04:02:23.652233+00:00Dandelion: A Spherical Flower for Neural Simulation of Planetary Dynamicshttps://blog.schoergendorfer.com/post/when-muon-meets-task-interference-a-spectral-perspective-on-continual-learning-aSecFeedde2026-08-31T04:02:23.624488+00:00When Muon Meets Task Interference: A Spectral Perspective on Continual Learning and Model Merginghttps://blog.schoergendorfer.com/post/damp-decay-aware-mixed-precision-recurrent-state-quantizationSecFeedde2026-08-31T04:02:23.569593+00:00DAMP: Decay-Aware Mixed-Precision Recurrent-State Quantizationhttps://blog.schoergendorfer.com/post/quantization-triggered-backdoors-in-language-models-cross-quantizer-transferabilSecFeedde2026-08-31T04:02:23.539821+00:00Quantization-Triggered Backdoors in Language Models: Cross-Quantizer Transferability and the Validation--Deployment Gaphttps://blog.schoergendorfer.com/post/marginal-coverage-credit-reduces-redundant-exploration-in-parallel-state-entropySecFeedde2026-08-31T04:02:23.485630+00:00Marginal Coverage Credit Reduces Redundant Exploration in Parallel State-Entropy Optimizationhttps://blog.schoergendorfer.com/post/understanding-chatgpt-workSecFeedde2026-08-31T00:17:29.267438+00:00Understanding ChatGPT Workhttps://blog.schoergendorfer.com/post/lowest-latency-inference-apis-for-voice-and-realtime-agents-a-time-to-first-tokeSecFeedde2026-08-30T21:32:46.298939+00:00Lowest-Latency Inference APIs for Voice and Realtime Agents: A Time to First Token TTFT-First Benchmarkhttps://blog.schoergendorfer.com/post/google-ai-introduces-envharness-a-programmable-layer-that-turns-static-agent-envSecFeedde2026-08-30T20:33:38.497725+00:00Google AI Introduces EnvHarness: A Programmable Layer That Turns Static Agent Environments Into Adaptive Training Worldshttps://blog.schoergendorfer.com/post/openai-leaving-cursor-developers-have-to-be-prepared-to-adapt-when-it-happensSecFeedde2026-08-30T17:18:10.091790+00:00OpenAI leaving Cursor: “Developers have to be prepared to adapt when it happens.”https://blog.schoergendorfer.com/post/ai-agents-are-making-retrieval-engineering-a-core-engineering-disciplineSecFeedde2026-08-30T16:18:53.148209+00:00AI agents are making retrieval engineering a core engineering disciplinehttps://blog.schoergendorfer.com/post/your-ai-agent-is-only-as-good-as-the-harness-around-itSecFeedde2026-08-30T15:18:37.405373+00:00Your AI agent is only as good as the harness around it