Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2607.19592.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

Proposes a knowledge-centric self-improvement paradigm in which generic, disposable agents contribute evidence-grounded insights to a persistent shared knowledge base via task-level and cross-task forums, followed by distillation. Across abstract reasoning, coding, and terminal benchmarks, the protocol improves solve rates and reduces cost versus agent-centric baselines, and the distilled knowledge transfers to held-out tasks and across LLM families.

Reframes agent self-improvement around a shared, inspectable knowledge base rather than the agent itself; ships a concrete protocol, open code, and cross-model transfer evidence.

Cited by

No citations on record.