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Every paper checked for brief #4 of 12–19 Oct 2026 — nothing is hidden. Brief papers first.

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More Methods, Better Agents? A Reality Check on Self-Distillation in Agentic Reinforcement Learning
The paper benchmarks ten self-distillation methods in agentic reinforcement learning across varied model sizes, tasks, and computational costs.
Ranked #1Surprising resultPreprint8/10 suggested
Small and efficient models
via arxiv · 15 Oct, 15:06
On-topic
Focuses on self-distillation methods and training cost efficiency for agent models.
AgentSWE: Can Coding Agents Build the Agent You Actually Want?
Introduces AgentSWE, a 25-task benchmark evaluating whether coding agents can build, edit, and optimize other software agents against user requirements.
Ranked #1Surprising resultPreprint9/10 suggested
LLM evaluation and benchmarks
via arxiv · 12 Oct, 16:28
On-topic
Introduces AgentSWE, a novel benchmark and evaluation protocol assessing coding agents.
AgentSWE: Can Coding Agents Build the Agent You Actually Want?
Introduces AgentSWE, a 25-task benchmark evaluating whether coding agents can build, edit, and optimize other software agents against user requirements.
Ranked #1Surprising resultPreprint9/10 suggested
LLMs for code
via arxiv · 12 Oct, 16:28
On-topic
Focuses directly on coding agents generating, editing, and repairing agent software codebases.
AgentSWE: Can Coding Agents Build the Agent You Actually Want?
Introduces AgentSWE, a 25-task benchmark evaluating whether coding agents can build, edit, and optimize other software agents against user requirements.
Ranked #1Surprising resultPreprint9/10 suggested
AI safety and reliability in deployment
via arxiv · 12 Oct, 16:28
On-topic
Tests behavioral alignment and failure modes when deploying agents built to specification.
Last Secure Code Benchmark: Is the Code You Vibe Secure?
This paper introduces a benchmark evaluating whether coding agents produce functionally correct code that also avoids real-world security vulnerabilities.
Ranked #2Surprising resultPreprint9/10 suggested
AI safety and reliability in deployment
via arxiv · 15 Oct, 06:17
On-topic
Directly assesses security risks and vulnerabilities produced by AI coding systems in deployment.
SWE-Duel: Towards a Self-Scaling Arena for Coding Agents
Presents an arena benchmark where pairs of coding agents dynamically generate, test, and debug code against each other.
Ranked #2New testPreprint9/10 suggested
LLMs for code
via arxiv · 12 Oct, 16:28
On-topic
Centers entirely on software engineering coding agents, pull requests, and automated program repair.
SWE-Duel: Towards a Self-Scaling Arena for Coding Agents
Presents an arena benchmark where pairs of coding agents dynamically generate, test, and debug code against each other.
Ranked #3New testPreprint9/10 suggested
LLM evaluation and benchmarks
via arxiv · 12 Oct, 16:28
On-topic
Introduces SWE-Duel, a self-scaling dynamic evaluation arena and benchmark for coding agents.
Making every stage of medical device document assessment with large language models deterministic
The paper evaluates output non-determinism in commercial language model deployments during medical device regulatory compliance assessments.
Ranked #4Surprising resultPreprint8/10 suggested
Retrieval-augmented generation (RAG)
via arxiv · 17 Oct, 06:17
On-topic
Builds a fully deterministic pipeline spanning OCR, chunking, embedding, indexing, and retrieval.
LED-BENCH: A Benchmark for Large-format Engineering Drawing Understanding
The paper presents LED-BENCH, a multidisciplinary benchmark evaluating multimodal model understanding and complex reasoning across large-format engineering drawings.
Ranked #4New testPreprint7/10 suggested
Computer vision for industrial applications
via arxiv · 15 Oct, 15:06
On-topic
Evaluates automated visual understanding of technical mechanical and architectural engineering drawings.
More Methods, Better Agents? A Reality Check on Self-Distillation in Agentic Reinforcement Learning
The paper benchmarks ten self-distillation methods in agentic reinforcement learning across varied model sizes, tasks, and computational costs.
Ranked #4Surprising resultPreprint8/10 suggested
LLM evaluation and benchmarks
via arxiv · 15 Oct, 15:06
On-topic
Provides a comprehensive empirical audit and comparison of self-distillation methods in agentic RL.
SWEeper-Bench: Can Agents Discover Bugs in Interactive Software?
This paper presents a benchmark evaluating whether software agents can autonomously find and fix bugs in interactive web applications.
Ranked #4New testPeer-reviewed8/10 suggested
AI safety and reliability in deployment
via arxiv · 15 Oct, 06:19
On-topic
Evaluates failure detection and execution reliability in autonomous coding agents.
Is In-Domain Training Enough for Fine-Grained Industrial Anomaly Understanding?
Proposes a multi-agent framework combining general multimodal models with specialized visual experts for industrial defect detection and localization.
Ranked #4Surprising resultPreprint8/10 suggested
Multimodal models
via arxiv · 12 Oct, 16:28
On-topic
Investigates multimodal large language models performing industrial visual defect reasoning.
APEX-Harm: Evaluating Agent Safety in Shared Professional Workspaces
The paper introduces a benchmark evaluating agent susceptibility to prompt and script injections across multi-tool shared workspace environments.
Ranked #4New testPreprint8/10 suggested
AI agents
via arxiv · 12 Oct, 16:28
On-topic
Evaluates prompt and script injection attacks on multi-tool autonomous agents in shared workspaces.
When the KV Cache Is Slower Than the GPU: Scaling Remote KV Tiers for Context-Parallel Prefill
The paper analyzes performance bottlenecks when using remote key-value caches during context-parallel prefill in large language model serving.
Ranked #5Surprising resultPreprint8/10 suggested
Small and efficient models
via arxiv · 17 Oct, 06:18
On-topic
Investigates remote KV cache tiering and context parallelism to optimize long-context LLM inference serving.
Teaching Vision-Language Models to Decline: Support Completion Against Mirage
The paper proposes a training method that teaches vision-language models to decline to answer when relevant visual evidence is missing.
Ranked #5New way to see a problemPreprint8/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Trains vision-language models to decline ungrounded questions across invalid image inputs.
The Thinking Leakage in Reinforcement Learning for LLMs
The paper examines whether non-thinking mode reinforcement learning gains in hybrid reasoning models stem from leakage of thinking-mode activations.
Ranked #5Surprising resultPreprint8/10 suggested
AI safety and reliability in deployment
via arxiv · 15 Oct, 06:18
On-topic
Examines behavioral and safety implications of internal thinking leakage.
SWE-MISBEHAVIOR: Benchmarking and Mitigating Boundary Violations in Software Coding Agents
Introduces a benchmark evaluating coding agent misbehaviors across code generation, file management, and system environment integrity.
Ranked #5New testPreprint8/10 suggested
AI agents
via arxiv · 15 Oct, 06:17
On-topic
Studies boundary violations and tool failure mitigation in software coding agents.
NovaSplat: Model-Free 6D Object Pose Estimation via 3D Gaussian Splatting Onboarding and Refinement
Presents a model-free pipeline using smartphone-derived 3D Gaussian Splatting for novel object onboarding and 6D pose estimation.
Ranked #5Surprising resultPreprint7/10 suggested
Computer vision for industrial applications
via arxiv · 12 Oct, 16:28
On-topic
Develops 6D object pose estimation evaluated on industrial benchmarks for novel objects.
Accurate but Not Humble: Evaluating Epistemic Humility in LLM Agents under Knowledge Conflict
Proposes an evaluation framework to measure how LLM agents handle uncertainty and resolve conflicting knowledge during execution.
Ranked #5New way to see a problemPeer-reviewed7/10 suggested
Retrieval-augmented generation (RAG)
via arxiv · 12 Oct, 16:28
On-topic
Evaluates how agents handle knowledge conflicts between parametric memory and retrieved context evidence.
Athanor: An Agent-Native System for Autonomous Post-Training Research
Develops an open agent environment for evaluating how autonomously language agents can conduct post-training machine learning experiments.
Ranked #6Surprising resultPreprint8/10 suggested
AI agents
via arxiv · 17 Oct, 06:17
On-topic
Evaluates multi-agent systems autonomously planning, executing, and modifying ML training runs.
Visually Legible but Adversarial: Watermark-Constrained Attacks on End-to-End VLMs for Document Understanding
This paper introduces a question-agnostic adversarial text-watermarking method that severely degrades document understanding in vision-language models.
Ranked #6Surprising resultPreprint8/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Analyzes adversarial watermark attacks on vision-language models for document understanding.
VulnBump: A Benchmark for Fixing Vulnerable Dependencies in Real Projects While Keeping the Build and Tests Green
This paper introduces a benchmark testing whether coding agents can upgrade vulnerable dependencies while preserving project builds and test suites.
Ranked #6New testPreprint8/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:18
On-topic
Evaluates coding agents fixing vulnerable dependencies across real software repositories.
Imprinting: Knowledge Distillation Can Shift Student Behavior
Demonstrates that knowledge distillation transfers safety dispositions and behavioral tendencies from teacher models to student models on unrelated tasks.
Ranked #6Surprising resultPreprint8/10 suggested
Small and efficient models
via arxiv · 15 Oct, 06:17
On-topic
Studies how knowledge distillation transfers behavioral tendencies and capabilities from teachers to students.
UltraBERT: Beyond the Limit of BERT Pre-Training
This paper analyzes pretraining factors such as masking ratios and token budgets to optimize bidirectional transformer encoders.
Ranked #6Surprising resultPreprint7/10 suggested
Retrieval-augmented generation (RAG)
via arxiv · 15 Oct, 06:17
On-topic
Investigates encoder pre-training specifically optimized for dense retrieval and downstream ranking tasks.
Mind the Temporal Gap: Evaluating Video Models for Temporal Understanding in Driving
Evaluates prompting methods and visual feature probing for temporal ego-motion reasoning in driving video-language models.
Ranked #6Surprising resultPreprint7/10 suggested
Computer vision for industrial applications
via arxiv · 12 Oct, 16:28
On-topic
Evaluates video models on temporal reasoning in industrial autonomous driving scenarios.
APEX-Harm: Evaluating Agent Safety in Shared Professional Workspaces
The paper introduces a benchmark evaluating agent susceptibility to prompt and script injections across multi-tool shared workspace environments.
Ranked #6New testPreprint8/10 suggested
AI safety and reliability in deployment
via arxiv · 12 Oct, 16:28
On-topic
Focuses directly on agent safety, prompt injection, and script execution vulnerabilities in workspaces.
Cortex: Consolidating Context into Parametric Memory
The paper presents a method to consolidate context gains into parametric model weights using prospective queries and low-rank feed-forward updates.
Ranked #7New way to see a problemPreprint7/10 suggested
Retrieval-augmented generation (RAG)
via arxiv · 15 Oct, 15:06
On-topic
Investigates internalizing retrieved context into parametric memory without relying on context.
Federated Coreset Subsampling for Distributed Memory Banks
The paper proposes federated coreset subsampling strategies to enable distributed, privacy-preserving visual anomaly detection across multiple factory sites.
Ranked #7New way to see a problemPreprint6/10 suggested
Computer vision for industrial applications
via arxiv · 15 Oct, 06:18
On-topic
Adapts PatchCore for distributed industrial anomaly detection across multiple manufacturing sites.
SWE-MISBEHAVIOR: Benchmarking and Mitigating Boundary Violations in Software Coding Agents
Introduces a benchmark evaluating coding agent misbehaviors across code generation, file management, and system environment integrity.
Ranked #7New testPreprint8/10 suggested
AI safety and reliability in deployment
via arxiv · 15 Oct, 06:17
On-topic
Evaluates and mitigates safety, integrity, and boundary violations in agent deployments.
SWE-MISBEHAVIOR: Benchmarking and Mitigating Boundary Violations in Software Coding Agents
Introduces a benchmark evaluating coding agent misbehaviors across code generation, file management, and system environment integrity.
Ranked #7New testPreprint8/10 suggested
LLM evaluation and benchmarks
via arxiv · 15 Oct, 06:17
On-topic
Presents an evaluation benchmark and taxonomy for coding agent behaviors.
Seeing Through the Forgery Is Not Enough: Regressive Sycophancy under Fabricated Evidence in Medical Vision-Language Models
The authors show that medical vision-language models frequently abandon correct clinical answers when prompted with fabricated medical documents.
Ranked #7Surprising resultPreprint8/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Studies multimodal medical vision-language models processing medical images and documents.
Lost in Implicit Routing: How LLM Agents Fail to Load Relevant Skills at Scale
The paper shows that large language model agents fail to retrieve relevant skills when large numbers of irrelevant skills populate the metadata library.
Ranked #7Surprising resultPreprint8/10 suggested
AI agents
via arxiv · 15 Oct, 06:17
On-topic
Investigates how LLM agents fail to route and load relevant tools/skills at scale.
Co-Modifying Application Code and Deployment Infrastructure: A Causal Study of AI Agent Pull Requests
Evaluates pull requests from software agents modifying both application code and deployment infrastructure in continuous integration pipelines.
Ranked #7Surprising resultPreprint8/10 suggested
LLMs for code
via arxiv · 12 Oct, 16:28
On-topic
Analyzes AI coding agents modifying application code and CI/CD pipelines in pull requests.
Tabular Foundation Models Are Effectively Shallow
Analyzes tabular foundation models and shows most transformer layers can be replaced with affine translators without sacrificing performance.
Ranked #7Surprising resultPreprint8/10 suggested
Small and efficient models
via arxiv · 12 Oct, 16:28
On-topic
Shows tabular foundation models can replace up to 96% of blocks, dramatically improving efficiency.
MJev-Spatial: System One Spatial Intelligence via Native Attention Matching
Frames spatial understanding tasks as candidate classification using pretrained attention matching to enable low-latency spatial decisions.
Ranked #8New way to see a problemPreprint7/10 suggested
Multimodal models
via arxiv · 17 Oct, 06:18
On-topic
Presents a multimodal model framework for fast spatial understanding in vision-language tasks.
CORE: Contrast-and-Reflect for Self-Supervised Prompt Optimization in Anomaly Synthesis
Optimizes multimodal prompts self-supervisedly to synthesize realistic industrial defect images for anomaly detection.
Ranked #8New way to see a problemPreprint6/10 suggested
Computer vision for industrial applications
via arxiv · 15 Oct, 15:06
On-topic
Optimizes multimodal prompts to synthesize realistic industrial defects for anomaly detection.
Looking Complete Is Not Being Grounded: Evaluating LLM Sitreps Against Human-Authored Situation Reports
This paper evaluates language-model-generated disaster situation reports against human-written reports using a domain-specific sixteen-slot information schema.
Ranked #8Surprising resultPreprint7/10 suggested
Retrieval-augmented generation (RAG)
via arxiv · 15 Oct, 06:17
On-topic
Studies grounding and source matching between generated situation reports and input streams.
Reading Right, Acting Wrong: Diagnosing Decision Failures of System One Models in Agent Loops
The paper investigates decision failures in fast single-pass agent models, reporting that wrong actions often occur despite correct reading of the environment state.
Ranked #8Surprising resultPreprint8/10 suggested
LLM evaluation and benchmarks
via arxiv · 15 Oct, 06:17
On-topic
Introduces a benchmark pairing state probes with actions to evaluate agent decision-making.
Reading Right, Acting Wrong: Diagnosing Decision Failures of System One Models in Agent Loops
The paper investigates decision failures in fast single-pass agent models, reporting that wrong actions often occur despite correct reading of the environment state.
Ranked #8Surprising resultPreprint8/10 suggested
AI agents
via arxiv · 15 Oct, 06:17
On-topic
Examines failure modes in how fast models choose actions in agent loops.
(When) Should a Software Factory be Lights-off? Benchmarking Code Review Agents on Bug Detection
Introduces a benchmark pairing pull requests with human-verified bugs to evaluate code review agents on bug detection accuracy.
Ranked #8New testPreprint8/10 suggested
LLMs for code
via arxiv · 12 Oct, 16:29
On-topic
Introduces a benchmark evaluating LLM-based coding agents on reviewing code and detecting software bugs.
Thinking Inertia: LLMs Keep Thinking When Told Not To
The paper defines evaluation metrics to show that language models continue generating reasoning traces even when instructed not to think.
Ranked #8Surprising resultPreprint7/10 suggested
Small and efficient models
via arxiv · 12 Oct, 16:28
On-topic
Investigates disabling internal thinking tokens to control inference compute and costs.
Any Time, Any Space: A World-State-Centric Framework for Agentic Video Generation
This paper introduces Any Time, Any Space, a world-state memory framework enabling consistent multi-shot long-form agentic video generation.
Ranked #9New way to see a problemPreprint7/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Long-form agentic video generation maintaining cross-shot spatiotemporal consistency.
UltraBERT: Beyond the Limit of BERT Pre-Training
This paper analyzes pretraining factors such as masking ratios and token budgets to optimize bidirectional transformer encoders.
Ranked #9Surprising resultPreprint7/10 suggested
Small and efficient models
via arxiv · 15 Oct, 06:17
On-topic
Explores distillation and pruning techniques to optimize encoder efficiency across classification and retrieval.
Scalable Weak-to-Strong Verifier Hardening for Agent Environments
The paper introduces an automated weak-to-strong hacker-fixer loop to find and repair vulnerabilities in agent evaluation verifiers.
Ranked #9New way to see a problemPreprint8/10 suggested
AI agents
via arxiv · 15 Oct, 06:17
On-topic
Studies verifiers that prevent reward hacking in multi-step LLM agent environments.
Scalable Weak-to-Strong Verifier Hardening for Agent Environments
The paper introduces an automated weak-to-strong hacker-fixer loop to find and repair vulnerabilities in agent evaluation verifiers.
Ranked #9New way to see a problemPreprint8/10 suggested
LLM evaluation and benchmarks
via arxiv · 15 Oct, 06:17
On-topic
Addresses verifier vulnerability and benchmark accuracy in evaluating LLM agents.
TestSuiteBench: Coding Agents Struggle to Generate Strong Test Suites from Specifications
Evaluates coding agents on generating full application test suites from specifications using a benchmark of open-source projects and mutants.
Ranked #9Surprising resultPreprint8/10 suggested
LLMs for code
via arxiv · 12 Oct, 16:29
On-topic
Introduces a benchmark evaluating coding agents on generating complete software test suites from specifications.
Chaos in the Text: Revealing the Modality Preference in Mixed-Modality Retrievers
Investigates retrieval performance across mixed text and image corpora, finding that retrievers systematically favor text and degrade when modalities coexist.
Ranked #9Surprising resultPreprint7/10 suggested
Retrieval-augmented generation (RAG)
via arxiv · 12 Oct, 16:29
On-topic
Investigates multimodal dense retrieval across mixed text and image document corpora.
Measurable Semantic 3D Gaussian Splatting with Joint Region and Depth Supervision for Interactive Building Inspection
Develops a semantic 3D Gaussian Splatting pipeline with depth and region supervision for interactive metric measurements during building inspections.
Ranked #9New way to see a problemPreprint6/10 suggested
Computer vision for industrial applications
via arxiv · 12 Oct, 16:28
On-topic
Focuses on visual 3D reconstruction and quantitative measurement specifically for building inspection and maintenance.
A team of Gemini 4 Argon agents beats Minecraft
The authors report on a team of autonomous Gemini 4 Argon agents collaborating via chat and shared code to beat Minecraft survival mode.
Ranked #10Surprising resultPreprint8/10 suggested
AI agents
via arxiv · 17 Oct, 06:17
On-topic
Examines multi-agent autonomous coordination, planning, and tool execution in Minecraft.
Player-1: Learning to Play from Synthetic Experience
Develops a post-training framework that trains computer-use agents for video games using synthetic interactive experiences and an expanded action space.
Ranked #10New way to see a problemPreprint7/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Trains multimodal models to perceive screen frames and execute mouse and keyboard actions.
SpecGuardBench: Can Coding Agents Construct Reliable Validation Harnesses from Natural Language Specifications?
This paper introduces a benchmark to test if coding agents can build reliable validation test harnesses from natural language specifications.
Ranked #10New testPreprint8/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:17
On-topic
Evaluates coding agents on generating reliable validation harnesses and tests from specifications.
Scalable Weak-to-Strong Verifier Hardening for Agent Environments
The paper introduces an automated weak-to-strong hacker-fixer loop to find and repair vulnerabilities in agent evaluation verifiers.
Ranked #10New way to see a problemPreprint8/10 suggested
AI safety and reliability in deployment
via arxiv · 15 Oct, 06:17
On-topic
Focuses on preventing reward hacking and misalignment in agent environments.
Can an Agent Learn to Predict Its Own Failure? Outcome-Grounded Confidence Calibration in LLM Agents
The authors develop a reinforcement learning method to calibrate an agent's per-step confidence against the final outcome of an episode.
Ranked #10New way to see a problemPreprint8/10 suggested
LLM evaluation and benchmarks
via arxiv · 15 Oct, 06:17
On-topic
Develops calibration evaluation and scoring methods for multi-step agent rollouts.
Look Where You Can: Active View Selection for CAD Reconstruction under Occlusion
The paper introduces SightCAD, an active view selection framework optimizing camera viewpoints under occlusion constraints for parametric CAD reconstruction.
Ranked #10New way to see a problemPreprint6/10 suggested
Computer vision for industrial applications
via arxiv · 12 Oct, 16:28
On-topic
Focuses on CAD reconstruction and parametric geometry generation under realistic view constraints.
Multi-Stream Attention Residuals
The paper extends attention residuals across model depth by introducing multi-stream depth attention with causal convolutions.
Ranked #10Surprising resultPreprint7/10 suggested
Small and efficient models
via arxiv · 12 Oct, 16:28
On-topic
Improves multi-stream depth attention with minimal additional overhead and without persistent multi-stream storage.
Locate, Judge, Read: Role-Specialized Tool Agents over a Knowledge-Point Index for Open-Domain Multimodal Document QA
Designs a modular multi-agent pipeline separating search, verification, and reading for multimodal document question answering.
Ranked #10Surprising resultPreprint7/10 suggested
Retrieval-augmented generation (RAG)
via arxiv · 12 Oct, 16:28
On-topic
Focuses directly on hybrid retrieval, indexing, and multi-hop grounding over document collections.
Speculative Forcing for Efficient Autoregressive Video Generation
Accelerates autoregressive video generation by verifying and freezing intermediate tokens early to reduce redundant computation during denoising.
Ranked #11Surprising resultPreprint7/10 suggested
Multimodal models
via arxiv · 17 Oct, 06:18
On-topic
Presents speculative early exit strategies for efficient autoregressive video generation.
Taking the PULSE of Medical Reasoning: Step-Level Retrieval Timing for Knowledge-Grounded Inference
This paper proposes PUlSE, using internal layer representations to detect factual errors and trigger step-level retrieval during medical reasoning.
Ranked #11New way to see a problemPreprint7/10 suggested
Retrieval-augmented generation (RAG)
via arxiv · 15 Oct, 15:06
On-topic
Introduces step-level retrieval timing to improve factual grounding in reasoning.
ANCHOR: Assessing Naturalistic Constraint Hierarchies and Ordering in Repository-Grounded Agentic Coding
This paper introduces a repository-grounded benchmark to evaluate how well coding agents follow engineering constraints and developer workflows.
Ranked #11New testPreprint8/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:17
On-topic
Assesses coding agents on following realistic developer constraints in repository tasks.
RealityBench: Simulated Environments to Evaluate a Vision Language Model's Ability to Document Human Physical Work
The paper presents a simulated benchmark across eleven unconstrained environments to evaluate vision-language models on documenting real-world human physical work.
Ranked #11New testPreprint6/10 suggested
Computer vision for industrial applications
via arxiv · 15 Oct, 06:17
On-topic
Evaluates visual documentation and inspection of field physical work such as vehicle repair.
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