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Agents2026-07-28 · source-backed
arXiv 2607.22917 names four failure modes in long-lived agent teams: irrecoverable teams when teammate state dies with the process, compaction eroding working detail, agentic technical debt trapped in compacted chats, and heavy repeated prompt-writing for handoffs. ATWZ treats each teammate as an employee with a workstation directory holding state plus the skills, hooks and scripts that maintain it, with periodic backup and single-command restore. One of very few academic papers written directly against the Claude Code agent-teams primitive. (arXiv 2607.22917)
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$3,054 against $38,370. Same benchmark, better score. Praxist (arXiv 2608.25955, submitted August 26) replaces per-attempt agent memory with a typed evidence graph of findings, plus lane-structured frontiers and agendas, so later attempts inherit validated mechanisms rather th...
Deng et al. built 120 real-case-grounded tasks across 20 business scenes in six financial domains, running four self-evolving scaffolds on a shared Qwen3.7-Max backbone against paired non-evolving controls. Letta posted the highest evolved score (91.65) and fewest compliance i...
SynChain uses persistence-aware directed SFT to make a computer-use agent produce artifacts that pass vetting while hiding malicious influence in structural redundancies, surviving internal state updates and reactivating in a later workflow with no new external input. Tested a...
This is the paper of the week. arXiv 2607.28871 introduces BSG-VA, which replays every validation command an agent runs across three code states: the original buggy code (B), the candidate patch (S), and the gold developer fix (G). If a test passes in all three states, it neve...
I've spent real hours tuning the CLAUDE.md in my own repos. Rewriting architecture notes. Adding conventions. Trimming when it got long. So this one stung. arXiv 2607.27250 ran a two-agent ablation across Claude Code and Codex: 17 real tasks from 3 repositories, 288 gold-test-...
Microsoft's July 23 release targets a genuine gap: harness-based agents like Claude Code and Codex drive multi-turn reasoning, tool use, and external system access but were hard to train end-to-end with standard open RL infrastructure. The trick is decoupling training from inf...
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