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Cleaning an Agent's History Hurts When the World Still Holds the Error

Source
arxiv.org
Author
Egor Pakhomov, Anurag Koul, Hongjun Liu, Bo Pang, Shafiq Joty, Erik Nijkamp
Date
Why it matters

If you compact or hand off agent histories, how the correction is phrased matters: a note beside the preserved error helps, while rewriting it as a completed action hurts recovery when the world still holds the error.

Key takeaways · AI-distilled
  • The authors freeze a tool-using mid-task with its exact world state, then edit either its history or the world and let a separate receiver model continue, so a history edit can be tested against what the world actually holds.
  • On AppWorld, a database write's receipt reporting success lowered whole-task success from 45% to 28% when the write's effect was absent, but raised it from 38% to 49% once the effect was present.
  • Pooled over two receivers, those two receipt effects differ by 27 points; the authors report the difference is positive in six of eight receiver models at 97.5% and in seven at 95%.
Terms in this piece · Glossary
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
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