Capability Watch
Papers
Every frontier-AI research paper we’ve surfaced from arXiv, newest first — the raw capability signals Frontier Watch tracks. Scroll to load older ones.
2,841 papers tracked · ← dashboard
- 1PerceptRL: Making Visual Perception Rewardable in MLLMs from Answers to InteractionsarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 2QD-PINN:A Physics-Informed Neural Network Approach to Bayesian Quickest Detection in High-Dimensional DiffusionsarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 3Follow the Gradient: Tracing Safety Degradation Back to Training DataarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 4From Interaction to Capability: Task Advancement as State and Supervision for GUI AgentsarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 5Teach reality, not ethics: a drop-in continued-pretraining corpus installs coupled human-biosphere-AI welfare dispositions across model familiesarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 6Strategyproof Deep Reinforcement Learning for Online Resource AllocationarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 7A note on data-efficient finetuning of vision foundation modelsarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 8Orthogonal and Parametrized Multi-Attribute Steering of LLMsarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 9The Structure Gap: When More Data Cannot Replace Structured ReasoningarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 10GTFormer: A Syntax-Free Graph Network Alternative to Transformers for 8192$\times$ Length Extrapolation in Linear TimearXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 11Which Hand Was Late? Diagnosis for Robot Failure Recovery in Bimanual Tool UsearXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 12When, Where, and What to Correct: Human-Guided Adaptive Residual Correction for Robot PoliciesarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 13Collective Dynamics of Self-Reinforcement: How Cross-Task Coupling Drives Policy Collapse in Unsupervised RLVRarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 14Gym-Anything-RT: Scaling Real-Time Environments for Vision-Language AgentsarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 15TeamGym: A Gym for Team Decision-Making by AI Agents with Distributed InformationarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 16TimestralarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 17Understanding the limits of latent world modelsarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 18GAS-PFN: Graph-Aware Spatiotemporal Prior-Data Fitted Networks for Zero-Shot Traffic ForecastingarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 19EnvSched: Environment-Aware Scheduling for Rollout-Efficient Agent Reinforcement LearningarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 20VideoLVR: Latent Visual Reasoning over Grounded Video EvidencearXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 21Rare, Relevant, and Still Wrong: How Memory Fails LLM Group DecisionsarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 22What Improves During Pretraining? Tracking Knowledge Acquisition with Point-in-Time ModelsarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 23Metacognitive Decoding: Efficient Inference for Diffusion Language AgentsarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 24Multi-State Linear Attention with Generalized Second-Order RoutingarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 25MuonGS: Pretraining LLMs with Relaxed Weight-Norm ControlarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 26Scaling Laws for Tool-Use Agents via Controllable Environment SynthesisarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 27Can LLMs Uncover Hidden Physical Laws through Free Exploration?arXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 28GEPA-Curator: Curated Learning for Self Improving AgentsarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 29Attention as Lattice Gauge Theory: Relations Interact Only Through Wilson LoopsarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 30Heads of Security: Learned Attention Gates Improve Prompt Injection RobustnessarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 31When Should We Intervene at Test Time?arXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 32ThinkWorld: World Imagination Reinforces Chain-of-Dynamics ReasoningarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-27
- 33TrySee: Modular Perception-Enhanced VLM Grounding for Closed-Loop Robot Task Planning in Specialized DomainsarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-26
- 34EvoRouter: Cost-Efficient Multi-Agent Routing via Insight-Guided On-Policy DistillationarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-26
- 35Not One Belief: Answer Payloads, Persistence, and Dissociated Confidence Signals in Conversational Question AnsweringarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-26
- 36MiRL: Error-Targeted Reinforcement Learning for Correcting Terminal Agent MisbehaviorsarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-26
- 37From Self-Confidence to Statistical Accuracy: Scaling Human-in-the-Loop Evaluation with Direct and LLM-Assisted AuditingarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-26
- 38Triage: Skip, Skim, or Refine Attention Tiles in Video Diffusion TransformersarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-26
- 39Quantitative Generalization Bounds for Multi-Layer Transformers: A Few Long Strings can Beat Many Short OnesarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-26
- 40Audit Where Hacks Pay: Budgeted Strong-Verifier Audits Against Reward Hacking in GRPOarXiv cs.AI / cs.LG / cs.CL (recent) · 2026-10-26