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Public story · 2026-03-03 · source-backed
6-category threat taxonomy for web-scale agent ecosystems. Reviews 6 defense strategies. Identifies 4 critical open challenges including interoperable identity and ecosystem-level response coordination. arXiv 2603.01564
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Frames uncertainty as a first-class software engineering concern. Identifies propagation through agent coordination, data pipelines, human-in-the-loop, and runtime logic. Provides engineering patterns for safety-critical deployments — treats multi-agent reliability as systems...
Formalizes the "same query, different results" problem via MDPs. Identifies three variance sources: information acquisition, compression, and inference. Achieves 22% stochasticity reduction while maintaining quality. Structured output formatting and ensemble queries are the mo...
32. arXiv — AgentSkillOS 33. arXiv — Agentic Code Reasoning 34. arXiv — RAIM 35. arXiv — Self-Healing Router 36. arXiv — Low-Probability Defection 37. arXiv — Shadow APIs 38. arXiv — Inference-Time Code Safety 39. arXiv — Secure Agentic Web
New training paradigm that teaches agents *why* actions succeed by contrasting successful against suboptimal alternatives. Treats action quality judgment as a first-class training objective rather than afterthought reflection. arXiv 2603.08706
Identifies first-correct-answer positions and trains models to exit early. Directly addresses over-thinking in o1/o3 and DeepSeek-R1. arXiv
arXiv 2609.17598 studies PRs from OpenAI Codex, Devin, GitHub Copilot, Cursor and Claude Code across 2,807 repositories (Dec 2024 to Jul 2025), combining AIDev with 58,792 cached GitHub API responses. Codex PRs were reverted 6.1% of the time against a human baseline of 11.5% (...
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