Every paper checked — nothing hidden
All papers
Every paper checked for brief #4 of 12–19 Oct 2026 — nothing is hidden. Brief papers first.
All17,312In brief24More (on-topic)3,333Not relevant13,753Not assessed87Older351Could not confirm93Blogs with no paper266All blogs284
| Paper | Topic | Relevance | Feedback |
|---|---|---|---|
| SWE-Stream: Scaling Executable Training Data for SWE Agents via Progressive Construction and Elastic Streaming The paper introduces a framework that progressively constructs and streams executable training tasks from code repositories for software engineering agents. Ranked #49New way to see a problemPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 15:06 | On-topic Scales executable training trajectories for software engineering LLM agents. | |
| Clinical value claims in multimodal AI outpace supporting evidence The paper audits multimodal clinical machine learning studies, finding that incomplete unimodal baselines frequently inflate claimed gains. Ranked #49Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:18 | On-topic Highlights evaluation flaws and ungrounded utility claims that compromise real-world deployment reliability. | |
| Failure Recovery via Belief Updates and World Modeling for Long-Horizon Agents This paper introduces a framework combining persistent belief states with implicit world modeling to help long-horizon language agents recover from failures. Ranked #49New way to see a problemPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Distills a large world model agent into an efficient 9B student model reducing inference cost. | |
| Bidirectional Adaptive Transformers for Multimodal Anomaly Detection Proposes a bidirectional adaptive transformer framework to align RGB and 3D point cloud features for multimodal anomaly detection. Ranked #49Peer-reviewed0/10 suggested | Computer vision for industrial applications via arxiv · 15 Oct, 06:18 | On-topic Proposes a multimodal 2D-3D transformer framework directly addressing industrial anomaly detection. | |
| Pixels or Code? Benchmarking Instruction-Guided Visual Artifact Operation The paper introduces a benchmark to evaluate direct edits, dependency updates, and visual preservation on technical diagrams, charts, and documents. Ranked #49New testPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Introduces a benchmark evaluating multimodal systems on instruction-guided editing of visual documents and diagrams. | |
| TRAP: Tool-result Replay Attack for Probing Misbinding in LLM Agents Presents a benchmark and attack method to evaluate failures caused by tool results misbinding to incorrect execution contexts in LLM agents. Ranked #49Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Presents ReplayBench, a benchmark for evaluating tool-result misbinding in agents. | |
| SWEPatchTest: Evaluating Software Tests Beyond Reproduction SWEPatchTest provides a benchmark to evaluate whether agent-generated test suites correctly accept valid patches and reject invalid ones. Ranked #49New testPreprint7/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Benchmarks test generation and patch validation for coding agents and program repair. | |
| Tracing and Taming Hallucinated Terms via Subsequence-Association Filtering and Breadth-Aware Selection for LLM Query Expansion The paper proposes a training-free query expansion method that filters hallucinated terms using corpus-conditioned cross-context reproducibility. Ranked #49New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Addresses hallucinated terms in LLM query expansion to improve document retrieval pipelines. | |
| P2Patch: Exploit-Guided Vulnerability Repair The paper presents an adversarial framework where an exploitation agent iteratively attacks and refines automated patches generated by a repair agent. Ranked #50Surprising resultPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 15:06 | On-topic Focuses on autonomous agents using multi-step reasoning and tool use for software vulnerability repair. | |
| Do Modifications Made by Coding Agents Make Subsequent Software Maintenance Harder? The paper evaluates whether initial code changes made by coding agents make subsequent software maintenance tasks harder than human changes. Ranked #50Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:19 | On-topic Examines maintenance reliability and regression failures in deployed coding agents. | |
| ATTUNE: Agentic Throughput Tuning for LLM Training The paper presents an automated coding agent that tunes large model training configurations for throughput under user-defined compute budgets. Ranked #50New way to see a problemPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Optimizes GPU resource utilization and throughput efficiency for large language model training. | |
| A Plausible Future Is Not a Causal Future: Can Video Models Generate How the World Unfolds? The paper presents a simulator-grounded benchmark to evaluate whether image-to-video generation models capture causal physical cascades and counterfactual dynamics faithfully. Ranked #50New testPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Evaluates causal physical dynamics and scene evolution in multimodal video generation models. | |
| agent-risk: Risk Assessment for Changes to AI Agents Provides a framework for assessing risks of proposed changes to deployed AI agents by selectively replaying execution logs and saved states. Ranked #50New way to see a problemPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Presents evaluation bounds and offline log replay methods for assessing agent performance shifts. | |
| EvoWeb: A Benchmark for Coding Agents on Evolving Web Applications Introduces a benchmark evaluating coding agents on evolving web applications across cumulative feature requests. Ranked #50New testPreprint7/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Proposes a benchmark specifically assessing coding agents maintaining web applications. | |
| Autonomous 3D Visual-Thermal Inspection for Utility-Scale Solar Farms This paper presents an autonomous system combining LiDAR SLAM, visual imagery, and thermal sensing to inspect under-panel components of solar farms. Ranked #50Preprint0/10 suggested | Computer vision for industrial applications via arxiv · 15 Oct, 06:17 | On-topic Develops a 3D visual-thermal inspection system for defect detection and component monitoring in solar farms. | |
| Test-Time Memory Construction Presents a framework that defers memory construction to test time to answer queries across long interaction histories. Ranked #50New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Focuses on adaptive retrieval and construction of stored interaction evidence for QA. | |
| Attention-Based Spatio-Temporal Approach for Fire and Smoke Detection Combines spatial and temporal transformer modules to detect smoke and fire from camera video feeds. Ranked #51Preprint0/10 suggested | Computer vision for industrial applications via arxiv · 15 Oct, 15:06 | On-topic Proposes a spatiotemporal computer vision approach for smoke and fire detection to increase workplace and industrial safety. | |
| When Protection Overrides Consequences: Understanding Protection Mode in Large Language Model Decision-Making The paper introduces a benchmark to study why frontier models prioritize protecting subjects over preventing larger physical property damage. Ranked #51Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 15:06 | On-topic Investigates safety-related decision failures where protective instincts override actual physical consequences. | |
| From Training to Escalation: Forensic Analysis and Local Recreation of RL/RLHF-Induced Privilege Escalation in AI Agents (CVE-2026-65616) Recreates and analyzes infrastructure misconfigurations that enabled privilege escalation and repository bypass during autonomous AI agent evaluations. Ranked #51Surprising resultPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 15:06 | On-topic Analyzes containment failure and privilege escalation in autonomous AI agents. | |
| RSAJEV: Training-Free Abstaining Prototype Memory for Eliminating Silent Hallucination in JEV-Based Remote Sensing Classification This paper introduces a training-free prototype memory readout to prevent out-of-vocabulary overconfidence and silent hallucinations in remote sensing classification. Ranked #51Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Investigates multimodal large language models for scene classification and hallucination reduction. | |
| Sequent-Prover: Training Agents for Formal, Checkable SMT-based Reasoning The paper introduces Sequent-Prover, training language model agents to perform multi-turn formal reasoning using an external SMT solver scratchpad. Ranked #51New way to see a problemPreprint7/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Focuses on generating, inspecting, and repairing executable formal SMT-LIB code. | |
| Uncovering Robustness Weaknesses in LLM Agents via Persona Evolution with Task-Integrity Constraints This paper introduces TIPER, a method that evolves challenging user personas to test language model agent robustness without invalidating underlying tasks. Ranked #51New testPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces a method to benchmark and evaluate interactive LLM agent robustness under realistic user personas. | |
| Does self-distillation improve reasoning? The paper evaluates whether self-distillation using privileged information improves reasoning capabilities or reflects overfitting to training tasks. Ranked #51Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Studies self-distillation mechanisms across smaller models like Qwen 1.7B-14B. | |
| Beyond the Final Embedding: Retrieving Memories from Token-Level Evidence Introduces a retrieval method combining token-level matching and document-level embeddings for memory-augmented language models. Ranked #51New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Introduces token-level matching to improve evidence retrieval from stored documents and memories. | |
| Evaluation Awareness Beyond English: Do LLMs Act Differently When Tested in Indic Languages? The authors evaluate how language models alter their refusal behavior when informed they are being monitored in English and five Indic languages. Ranked #52Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 17 Oct, 06:17 | On-topic Examines how evaluation awareness leads to misleading safety refusal rates in multilingual deployments. | |
| Cross-Scenario Industrial Defect Detection via Domain-Robust Training and Metric-Aligned Selection The paper presents a domain-generalization method to detect industrial board defects reliably across varied production environments and lighting conditions. Ranked #52Preprint0/10 suggested | Computer vision for industrial applications via arxiv · 15 Oct, 15:06 | On-topic Proposes a robust method for automated defect detection on industrial circuit boards across varying scenarios. | |
| LintEval: Benchmarking LLMs on Linter-Guided File Refactoring The paper presents a multilingual benchmark to evaluate how language models resolve linter alerts while preserving program functionality. Ranked #52New testPreprint7/10 suggested | LLMs for code via arxiv · 15 Oct, 15:06 | On-topic Introduces a benchmark evaluating LLMs on linter-guided code refactoring and repair. | |
| What Coding Agents Leave Unsaid: Measuring Task-State Gaps Between Execution and Reports The paper measures the information gap between coding agents' internal execution logs and their user-facing progress reports. Ranked #52Surprising resultPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 15:06 | On-topic Measures task-state reporting gaps in autonomous software coding agents. | |
| Scenes as an Attack Surface: Uncovering Scene-Grounded Safety Failures in MLLMs The paper introduces a benchmark to show that visual scene semantics alone can cause multimodal models to bypass safety guardrails without adversarial prompts. Ranked #52Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Investigates scene-grounded visual safety failures and attack surfaces specifically in multimodal large language models. | |
| WildTrace: Evaluating Training Data Detection in Realistic Large-Scale LLM Post-Training This paper introduces WildTrace, a benchmark evaluating training data detection methods across realistic, multi-stage language model post-training pipelines. Ranked #52Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces a benchmark to evaluate training data and contamination detection methods. | |
| Correcting or Continuing? What On-Policy Distillation Learns from Student Errors The study shows that training on-policy distillation exclusively on student errors degrades accuracy rather than improving it. Ranked #52Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Investigates on-policy knowledge distillation behavior when training student language models. | |
| GeopoliticalQA: Benchmarking Retrieval and Generation over Intelligence Reports Introduces a benchmark of 5,525 QA pairs from intelligence reports to evaluate RAG document- and chunk-level retrieval. Ranked #52New testPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Introduces a benchmark evaluating document retrieval, chunking, and grounded generation over intelligence reports. | |
| Poisoning the Neighborhood: A Topology-Aware Topic-Level Attack on Large-Scale HNSW-based RAG Systems Demonstrates a graph-topology-aware poisoning attack against large-scale retrieval systems using approximate nearest-neighbor indexing. Ranked #53Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 17 Oct, 06:17 | On-topic Examines topology-aware poisoning attacks on large-scale retrieval-augmented generation systems. | |
| CodeHealth Predicts the Token Cost of Agentic Code Review: A Pre-Registered Study of 465 Agent-Authored Pull Requests Examines whether source code quality metrics predict the token costs of multi-agent pull request review pipelines. Ranked #53Surprising resultPreprint7/10 suggested | LLMs for code via arxiv · 17 Oct, 06:17 | On-topic Measures token consumption and cost dynamics of LLMs reviewing software pull requests. | |
| A Strong Harness Narrows the Model Gap: A Comparative Evaluation for Legislative Document-to-XML Conversion The paper evaluates harnesses for legislative document conversion, showing structured multi-agent pipelines narrow performance gaps between models. Ranked #53Surprising resultPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 15:06 | On-topic Compares single-agent versus decomposed multi-agent orchestration harnesses. | |
| PVFH-Bench: Benchmarking Premise-Induced Visual Fixation Hallucinations in Vision-Language Models This paper introduces a benchmark to measure vision-language model hallucinations caused by deceptive textual premises paired with visually confusable images. Ranked #53Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Examines premise-induced object hallucination in large vision-language models. | |
| MedHarnessBench: A Unified Benchmark for Healthcare Agent Evaluation The paper presents an evaluation benchmark assessing seven clinical process dimensions for healthcare agents across longitudinal workflows. Ranked #53New testPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Presents MedHarnessBench to benchmark healthcare agent decision processes across executable clinical tasks. | |
| Revisiting the 16x Pretraining Compute Gap between Diffusion and Autoregressive Language Models The paper re-evaluates the pretraining compute scaling laws between diffusion and autoregressive language models using modern diffusion training designs. Ranked #53Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Examines compute efficiency and scaling laws for pretraining diffusion language models. | |
| NativeScope: Relation-Localized Retrieval over Native Topology with a Correct Anchor Proposes a scope-then-rank retrieval method using document topology and relational structure rather than pure semantic similarity. Ranked #53Surprising resultPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Improves dense retrieval and chunking by scoping via document topology for RAG. | |
| Diviner: Agentic RCA with Human-Governed Adaptation for Large-Scale Infrastructure Presents an agentic system with human-governed adaptation to automate root-cause analysis across complex, large-scale infrastructure environments. Ranked #54New way to see a problemPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 17 Oct, 06:17 | On-topic Addresses reliability, stale context risks, and human-governed controls for enterprise agent deployment. | |
| Poison Valleys: Diagnosing Path-Dependent Failure in LLM Code Repair Analyzes how misconceptions in early planning stages cause cascading failures during automated code repair by language model agents. Ranked #54New way to see a problemPreprint7/10 suggested | LLMs for code via arxiv · 17 Oct, 06:17 | On-topic Directly studies LLM failure modes and mechanisms in automated code repair. | |
| Structure Before Intelligence: Gating What Agentic Scientific Workflows Release The paper proposes an execution harness that validates intermediate results before allowing scientific agent workflows to release outputs. Ranked #54Surprising resultPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 15:06 | On-topic Examines reliable execution and failure gating in agentic scientific workflows. | |
| Meta-Video: Efficient Standardized Evaluation for Video Understanding Evaluates video benchmarks, showing that unexamined setup choices shift accuracy significantly and proposing a standardized evaluation framework. Ranked #54Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Introduces a standardized evaluation benchmark specifically for video-language multimodal models. | |
| Agent-Canary-Mas: End-to-End Evaluation of Protocol Risk in Long-Horizon Multi-Agent Systems The paper introduces an evaluation framework measuring how communication protocol exploits propagate into task failures across multi-agent systems. Ranked #54New testPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Provides a comprehensive benchmark framework assessing protocol risks in multi-agent setups. | |
| When Does Compensating Inherited Quantization Error Help? Mean-Square Guarantees for Layer-Wise Quantization and Their Limits The paper provides theoretical mean-square error guarantees and bounds for layer-wise quantization error compensation across linear and non-linear networks. Ranked #54Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Provides theoretical mean-square error guarantees and bounds for layer-wise post-training quantization. | |
| SEEDS: Preview-Guided Evidence Admission for Search Agents Introduces a preview-guided admission framework allowing search agents to selectively incorporate retrieved candidates into the ongoing reasoning context. Ranked #54New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Focuses on selective evidence retrieval and ingestion into reasoning contexts. | |
| PremiseSQL: Evaluating Premise Critique and Abstention in Text-to-SQL Systems Introduces a benchmark to evaluate whether text-to-SQL systems can detect flawed query premises and abstain from generating invalid SQL. Ranked #55New testPreprint7/10 suggested | LLMs for code via arxiv · 17 Oct, 06:17 | On-topic Evaluates text-to-SQL systems on identifying flawed user premises and abstaining. | |
| Approve What, Exactly? Effect Binding and Trusted Rendering for Agent Step-Up Authorization Analyzes authorization security flaws in agent human-in-the-loop approval mechanisms and proposes a tamper-resistant approval gateway. Ranked #55Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 17 Oct, 06:17 | On-topic Examines security vulnerabilities and proposes robust authorization defenses for deployed agents. | |
| AgentCIScope: Grounded Contextual Integrity Evaluation for LLM Agents The paper introduces an executable evaluation platform and benchmark to measure contextual integrity and privacy compliance in multi-step language model agents. Ranked #55New testPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 15:06 | On-topic Evaluates LLM agents executing multi-step tasks across application environments via tool calls. | |
| Recovering Low-Bit Failures in Vision-Language-Action Policies via Quantization-Conditioned Reinforcement Learning This paper proposes offline reinforcement learning conditioned on quantization levels to recover task completion performance in quantized vision-language-action policies. Ranked #55Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Studies low-bit quantization recovery for multimodal vision-language-action models. | |
| FDE-Bench: Evaluating End-to-End Delivery from Underspecified Real-World Business Requests The paper introduces a benchmark based on enterprise projects to evaluate agent performance on clarifying underspecified requirements and iterative optimization. Ranked #55New testPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces FDE-Bench to evaluate agent performance on underspecified business requests. | |
| Efficient Multi-Agent Reasoning via Confidence-Guided Adaptive Debate Introduces an adaptive multi-agent debate framework that uses a leader-supporter structure to trigger debate only when simple aggregation is insufficient. Ranked #55Surprising resultPeer-reviewed7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Optimizes multi-agent reasoning to minimize token costs and improve serving efficiency. | |
| Temporal Evidence Forests for Long-Horizon Multi-Party Conversational Memory Presents a temporal memory architecture using hierarchical tree structures to trace evolving multi-party conversational histories for agents. Ranked #55New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Focuses on retrieving and structuring conversational memory evidence across long contexts. | |
| Spurious Attention Heads in Vision Transformers: Mechanistic Identification of Annotation-Driven Bias in Medical Chest X-Ray Analysis Identifies a specific vision transformer attention head that spuriously attends to medical image corner text instead of lung pathology. Ranked #56Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:17 | On-topic Studies Vision Transformers processing image data and text annotation corner features. | |
| WEAVE: Weaving Real-World Code Evolution into Dependency-Structured Tasks for Benchmarking and Training Code Agents Introduces a benchmark that structures multi-pull-request code changes into dependency graphs to evaluate long-horizon software engineering agents. Ranked #56New testPreprint7/10 suggested | LLMs for code via arxiv · 17 Oct, 06:17 | On-topic Builds dependency-structured benchmark and RL training tasks from multi-PR code repositories. | |
| Beyond Downstream QA: Rethinking How We Evaluate Agent Memory The paper presents a benchmark that isolates agent memory evolution from downstream retrieval and generation failures. Ranked #56Surprising resultPreprint8/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Evaluates how agent memory systems track and evolve state across multi-step interactions. | |
| A Strong Harness Narrows the Model Gap: A Comparative Evaluation for Legislative Document-to-XML Conversion The paper evaluates harnesses for legislative document conversion, showing structured multi-agent pipelines narrow performance gaps between models. Ranked #56Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Provides a comparative evaluation of harness engineering versus base models. | |
| Avoiding What Your Teacher Already Knows: Entity Familiarity for Deep-Search Distillation Measures teacher entity familiarity to filter out uninformative search trajectories when distilling deep-search capabilities into smaller agents. Ranked #56New way to see a problemPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:17 | On-topic Investigates distilling high-quality trajectories from larger teachers to student models. | |
| Knowing the User Is Not Knowing What We Established: Grounding Awareness in Personal Agents The authors introduce a benchmark to evaluate whether personal agents can distinguish accepted user arrangements from unacknowledged proposals. Ranked #56Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Prevents agents from executing unauthorized actions based on unverified proposals stored in memory. | |
| Project Greenhouse: Progress Toward Fully Open and Sovereign Agentic Search The paper describes training a competitive decoder-only search reranker from scratch using modest computational resources and common datasets. Ranked #56New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Develops decoder-only rerankers for search and retrieval from modest computational resources. |
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