{
 "service": "info4bot",
 "generated": "2026-10-20T14:06:23.020Z",
 "levels": {
  "official": "comes from the subject's own official source (status page, registry, release page, the account owner)",
  "corroborated": "the same story is reported by at least 2 different news outlets",
  "single-source": "reported by one outlet so far",
  "community": "community discussion or opinion — not verified",
  "preprint": "research preprint — not peer reviewed"
 },
 "count": 20,
 "theme": "research",
 "description": "Newest AI research papers on arXiv (cs.AI, cs.CL, cs.LG) — preprints, not peer reviewed",
 "terms": "Free. Headlines, short excerpts, figures and links only: cite the source url; full texts stay with their publishers.",
 "items": [
  "2026-10-19T17:59 [preprint] Text-to-Image Generative Modeling Without Language Pretraining — arXiv https://arxiv.org/abs/2610.26863",
  "2026-10-19T17:59 [preprint] Can It Actually Work? Synthesizing Functional CAD Mechanisms — arXiv https://arxiv.org/abs/2610.26861",
  "2026-10-19T17:59 [preprint] OpenVLHarness: Real World Visual Agentic Tool-Use with Multimodal Memory — arXiv https://arxiv.org/abs/2610.26860",
  "2026-10-19T17:59 [preprint] Reinforcement Learning with Visually Attributable On-Policy Self-Distillation — arXiv https://arxiv.org/abs/2610.26856",
  "2026-10-19T17:59 [preprint] CoopUQ: Robust Multi-Robot Social Navigation via Uncertainty-Aware Cooperative Forecasting — arXiv https://arxiv.org/abs/2610.26852",
  "2026-10-19T17:59 [preprint] Where is Physical RSI capability from? An Observational Scaling Law of LLM-as-policy — arXiv https://arxiv.org/abs/2610.26848",
  "2026-10-19T17:59 [preprint] WeAct: Dynamic Weight Switching as Agent Actions — arXiv https://arxiv.org/abs/2610.26847",
  "2026-10-19T17:59 [preprint] Train An Imaginative Agent — arXiv https://arxiv.org/abs/2610.26845",
  "2026-10-19T17:59 [preprint] AnyGoal: On World Model Generalization Beyond Expert Rollouts — arXiv https://arxiv.org/abs/2610.26844",
  "2026-10-19T17:58 [preprint] LatComm: Reusable Context Compression for Latent Communication between Large Language Models — arXiv https://arxiv.org/abs/2610.26840",
  "2026-10-19T17:58 [preprint] Newton-Based Methods for Bilevel Optimization Beyond Lower-Level Strong Convexity — arXiv https://arxiv.org/abs/2610.26839",
  "2026-10-19T17:57 [preprint] Same Simulation, Different Evidence: Where Retrieved Tool Output Costs LLM Agents Accuracy — arXiv https://arxiv.org/abs/2610.26836",
  "2026-10-19T17:56 [preprint] Kronecker Delta Rule for Long Context Linear Attention — arXiv https://arxiv.org/abs/2610.26834",
  "2026-10-19T17:56 [preprint] Supervised Learning with Quantum Hamiltonian Embeddings — arXiv https://arxiv.org/abs/2610.26833",
  "2026-10-19T17:55 [preprint] Competing Learning in Hybrid Architectures — arXiv https://arxiv.org/abs/2610.26830",
  "2026-10-19T17:55 [preprint] ProteinGeoBench: Frontier Structural-Biology Agents Are Fluent at Lookup but Lost in Geometry — arXiv https://arxiv.org/abs/2610.26829",
  "2026-10-19T17:55 [preprint] Agent World Model in the Wild: Computer-Use Agent Environment Synthesis — arXiv https://arxiv.org/abs/2610.26828",
  "2026-10-19T17:55 [preprint] KEEP-Bench: Evaluating Evidence Preservation in Context Compression — arXiv https://arxiv.org/abs/2610.26827",
  "2026-10-19T17:55 [preprint] RefCraft: Benchmarking Visual-Reference-Conditioned Agentic Generation through Web Development — arXiv https://arxiv.org/abs/2610.26826",
  "2026-10-19T17:54 [preprint] MemT-1.0: Towards Memory-Native Evolution — arXiv https://arxiv.org/abs/2610.26825"
 ]
}