CompanyAnthropic8 recent entries6 Oct 2026AIProver: Agentic Auto-Formalization of Mathematical Research via Certificate-Driven Evolving HarnessarXiv:2610.05367v1 Announce Type: cross Abstract: Proof auto-formalization translates natural-language (NL) theorems and proofs into a formal language (FL) such as Lean, enabling mechanical verificati→9 Oct 2026SWE-Journey: Towards More Realistic Evaluation of Coding Assistants through Long-Horizon, Multi-Turn InteractionarXiv:2610.11559v1 Announce Type: cross Abstract: Coding assistants such as Claude Code and Codex have become a major application of LLM agents, yet existing benchmarks remain far from real-world use,
CompanyOpenAI8 recent entries14 Sept 2026Harness or Model? Isolating the Harness Effect in Agentic Coding with a Contamination-Controlled Private SuitearXiv:2609.11987v1 Announce Type: cross Abstract: An agentic coding system couples a language model to a harness: the tools, prompts and control flow that turn a chat model into an autonomous software→17 Sept 2026WetRobo: A Reproducible Robot Kit for Coding Agents in Biological LaboratoriesarXiv:2609.18435v1 Announce Type: new Abstract: Automating biological research requires general-purpose, reproducible robot systems that allow individual wet-lab researchers to delegate robot tasks wi→17 Sept 2026Collective Loss of Control in LLM Agent Systems: An Epidemic Account of Mutation, Contagion, and RecoveryarXiv:2609.18460v1 Announce Type: new Abstract: How does a multi-agent system evolve from a local deviation into collective loss of control? We propose an epidemic explanation organized around acciden→17 Sept 2026AgentPack: A Dataset of Code Changes, Co-Authored by Agents and HumansarXiv:2509.21891v3 Announce Type: replace-cross Abstract: Fine-tuning large language models for code editing has typically relied on mining commits and pull requests. The working hypothesis has been t→18 Sept 2026Red-Teaming Auto Mode: Improving Blocking Classifiers Against Malign Coding AgentsarXiv:2609.19587v1 Announce Type: cross Abstract: To keep coding agents from going off the rails, production systems now review each proposed action with a blocking monitor that can reject it before i→22 Sept 2026Defusing Explosive Prompts: Understanding and Preventing Trigger-Based Prompt Injections in LLM AgentsarXiv:2609.22510v1 Announce Type: cross Abstract: As LLM applications integrate with external tools, they are increasingly exposed to indirect prompt injection (IPI), where adversarial instructions ar→25 Sept 2026Control the Harness, Control the Cost: Routing and Governing AI Coding Agents in the EnterprisearXiv:2609.28919v1 Announce Type: new Abstract: Harnesses, the products that run AI coding agents, are multiplying, and enterprises are rolling them out to their employees: what started as pilots with→9 Oct 2026Arbiter: Detecting Interference in LLM Agent System PromptsarXiv:2603.08993v2 Announce Type: replace-cross Abstract: System prompts for LLM-based coding agents are software artifacts that govern agent behavior, yet lack the testing infrastructure applied to c
CompanyGoogle8 recent entries10 Jul 2026Compete Then Collaborate: Frontier AI Teachers Build a Verifiable Curriculum to Improve a Coding Student Beyond ImitationarXiv:2607.08255v1 Announce Type: new Abstract: Large language models increasingly serve as teachers generating training data for smaller students. Prior multi-teacher knowledge distillation methods m→5 Aug 2026MDArena: Evaluating Coding Agents on Realistic Molecular Dynamics WorkflowsarXiv:2608.02642v1 Announce Type: cross Abstract: Accelerating scientific discovery is among the most consequential applications of AI, and computational biomolecular simulation stands out as a partic→24 Aug 2026ClawSentry: A Progressive Multi-Tier Security Monitor for Safeguarding Autonomous LLM AgentsarXiv:2608.21101v1 Announce Type: cross Abstract: As large language model (LLM) agents move from conversation to executing code, reading local files, and orchestrating external tools, a single agent h→14 Sept 2026Harness or Model? Isolating the Harness Effect in Agentic Coding with a Contamination-Controlled Private SuitearXiv:2609.11987v1 Announce Type: cross Abstract: An agentic coding system couples a language model to a harness: the tools, prompts and control flow that turn a chat model into an autonomous software→15 Sept 2026AcquireBound: Runtime Authorization for Resources Acquired by AI AgentsarXiv:2609.14744v1 Announce Type: new Abstract: By acquiring compute, credentials, accounts, services, and other agents, autonomous AI agents can introduce new authority into a task. Payment, budget, →22 Sept 2026Defusing Explosive Prompts: Understanding and Preventing Trigger-Based Prompt Injections in LLM AgentsarXiv:2609.22510v1 Announce Type: cross Abstract: As LLM applications integrate with external tools, they are increasingly exposed to indirect prompt injection (IPI), where adversarial instructions ar→30 Sept 2026Beyond Rule-Based Mutation Testing: Test-Aware Mutant Generation Using Large Language ModelsarXiv:2609.35841v1 Announce Type: cross Abstract: Mutation testing evaluates test-suite adequacy by injecting synthetic faults into program code. However, traditional rule-based tools often generate l→9 Oct 2026Arbiter: Detecting Interference in LLM Agent System PromptsarXiv:2603.08993v2 Announce Type: replace-cross Abstract: System prompts for LLM-based coding agents are software artifacts that govern agent behavior, yet lack the testing infrastructure applied to c
CompanyMeta8 recent entries2 Jun 2026Claudini: Autoresearch Discovers State-of-the-Art Adversarial Attack Algorithms for LLMsarXiv:2603.24511v2 Announce Type: replace-cross Abstract: We show that AI agents are capable of discovering novel algorithms for adversarial attacks against LLMs, advancing the state of the art on whi→31 Jul 2026Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning EngineeringarXiv:2607.28568v1 Announce Type: new Abstract: Recursive self-improvement (RSI) requires AI systems that improve the process of building AI (i.e., AI4AI); machine learning engineering (MLE) offers a →17 Aug 2026AI-Assisted Discovery and Construction of a Counterexample to the Convergence of Three-Block ADMM with the Identity Matrix as its Third Constraint BlockarXiv:2608.14396v1 Announce Type: cross Abstract: The alternating direction method of multipliers (ADMM), as a landmark algorithm, has attracted tremendous research attention and extensive practical a→28 Aug 2026Agents Don't Paginate: First-Chunk Selection for LLM Tool ResponsesarXiv:2608.26130v1 Announce Type: new Abstract: Coding agents built on large language models (LLMs), such as Claude Code, Cursor, OpenAI Codex, GitHub Copilot, and Aider, receive tool responses that r→2 Sept 2026From Tool Use to Technological Agency: LoopCAT as a Local-First, Open-Source Tool for Translation Technology EducationarXiv:2609.00344v1 Announce Type: new Abstract: Translation students need to learn both how to use translation technologies and how to judge the choices those technologies make available. This article→7 Sept 2026Harbor Adapters and Harbor-Index: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic EvaluationarXiv:2609.04298v1 Announce Type: new Abstract: Evaluating agents on the growing number of agentic benchmarks is challenging because they often require complex environments and agent integrations. We →30 Sept 2026Thinking Before Thinking: Scaling Agentic Inference Through Meta-ReasoningarXiv:2609.38147v1 Announce Type: new Abstract: As agents take on longer and more complex problems, controlling the execution becomes a task in its own right. Each step in the run brings new control c→1 Oct 2026RankEvolve: A Reliable Multi-Agent Auto-Research Harness for Evolving Ranking ModelsarXiv:2609.39551v1 Announce Type: new Abstract: Auto-research agents, LLM systems that propose, implement, train, and evaluate model changes across iterations, promise to automate applied ML's experim
CompanyxAI4 recent entries7 Jul 2026Benchmarking API Drift in LLM-Generated Quantum Code Across Successive SDK VersionsarXiv:2607.04072v1 Announce Type: cross Abstract: Large language models can generate plausible quantum code, but it is unclear whether they can reliably target the specific software development kit (S→10 Jul 2026Compete Then Collaborate: Frontier AI Teachers Build a Verifiable Curriculum to Improve a Coding Student Beyond ImitationarXiv:2607.08255v1 Announce Type: new Abstract: Large language models increasingly serve as teachers generating training data for smaller students. Prior multi-teacher knowledge distillation methods m→25 Sept 2026LLM Agents Can Easily Tamper With Their Own TracesarXiv:2609.30266v1 Announce Type: cross Abstract: Asynchronous monitoring, incident investigations, and compliance audits primarily rely on agent traces to reconstruct what happened. These analyses as→1 Oct 2026DrivingBench: Can Vision-Language Models Drive a Toyota Corolla?arXiv:2609.38948v1 Announce Type: cross Abstract: Frontier models excel at many digital benchmarks, yet their ability to drive a real car, an everyday human skill, remains largely untested. We present
CompanyDeepSeek8 recent entries14 Sept 2026Harness or Model? Isolating the Harness Effect in Agentic Coding with a Contamination-Controlled Private SuitearXiv:2609.11987v1 Announce Type: cross Abstract: An agentic coding system couples a language model to a harness: the tools, prompts and control flow that turn a chat model into an autonomous software→16 Sept 2026QART: A Quantum-Classical Hybrid Architecture for Long-Horizon Reasoning -- Exploring a Conditional Path toward Quantum ScalingarXiv:2609.16887v1 Announce Type: new Abstract: Long-horizon reasoning is vulnerable to early errors that compromise later decisions. We present QART, the Quantum-Augmented Reasoning Transformer, a qu→24 Sept 2026SkillGym: Internalizing Human Skills into LLMs for Real-World Problem SolvingarXiv:2609.27717v1 Announce Type: new Abstract: Human-written agent skills encode rich workflows for real-world problem solving, but are typically used as external inference-time instructions rather t→29 Sept 2026SRHarness: A Harness for Agentic Symbolic RegressionarXiv:2609.35501v1 Announce Type: cross Abstract: Recent agentic symbolic regression approaches increasingly rely on large language models to analyze data, select scientific operations, and refine hyp→30 Sept 2026SelfSearch: Reward-Free Search for Self-Improving AgentsarXiv:2609.37968v1 Announce Type: new Abstract: Advances in the coding capabilities of LLM agents allow them to inspect and modify their own instructions, tools, and execution procedures. Existing app→2 Oct 2026Finding the Right Fit: Model-Harness Interactions across Agent TasksarXiv:2610.00917v1 Announce Type: new Abstract: Choosing an agent system means choosing both a language model and the harness through which it acts. We ask whether a strong model, harness, or pairing →5 Oct 2026EvoRiskBench: An Evolving Benchmark for Runtime Security Risks in Workspace AgentsarXiv:2610.03153v1 Announce Type: cross Abstract: Workspace agents combine large language models with execution harnesses to perform stateful, multi-step tasks that access or modify external resources→9 Oct 2026A Closer Look at Agentic BBO: Benchmarking LLM Agents for Black-Box OptimizationarXiv:2610.12183v1 Announce Type: cross Abstract: Black-box optimization (BBO) arises in many scientific and engineering problems where objective evaluations are expensive and limited. Recent large la
CompanyNVIDIA1 recent entries10 Jul 2026Compete Then Collaborate: Frontier AI Teachers Build a Verifiable Curriculum to Improve a Coding Student Beyond ImitationarXiv:2607.08255v1 Announce Type: new Abstract: Large language models increasingly serve as teachers generating training data for smaller students. Prior multi-teacher knowledge distillation methods m