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Screened 25 new arXiv papers; 3 were relevant. I screened directly from the abstracts and did not run the PDF-investigation, screener, ranker or extractor sub-agents.
Opportunity: Add signature-level loop detection and a "finish gate" that makes the agent re-read the task before accepting completion. This could be an optional engine or runtime guardrail that cuts wasted tokens on stuck runs.
2. Continuous Process-Level Evaluation for Agent Skills (2610.01833)
Area: audit and evaluation
Opportunity: Extend gh aw audit with process-level checks: tool selection, arguments and ordering against expected templates. This would catch behavioral drift that final-output checks miss. In the paper's 240-trial study, 162 of the 175 trials that passed every final numerical check (92.6%) were the ones the abstract highlights.
Opportunity: Store memory entries whole with a date and author, and select at read time by date. This avoids lossy write-time summarization for repo-memory ledgers.
The ledger and index were updated for all 25 papers. In the ledger, the Area and Opportunity cells for these three papers hold a placeholder, because a later edit was denied.
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Screened 25 new arXiv papers; 3 were relevant. I screened directly from the abstracts and did not run the PDF-investigation, screener, ranker or extractor sub-agents.
1. Mingbird: local-first agent harness (2610.02001)
2. Continuous Process-Level Evaluation for Agent Skills (2610.01833)
gh aw auditwith process-level checks: tool selection, arguments and ordering against expected templates. This would catch behavioral drift that final-output checks miss. In the paper's 240-trial study, 162 of the 175 trials that passed every final numerical check (92.6%) were the ones the abstract highlights.3. Mem++: non-destructive memory (2610.02002)
The ledger and index were updated for all 25 papers. In the ledger, the Area and Opportunity cells for these three papers hold a placeholder, because a later edit was denied.
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