When to Remember, When to Abstain: Category-Conditioned Retention for Reliable Agent Memory
arXiv cs.AIen
arXiv cs.AI
AI Global WirearXiv:2610.07100v1 Announce Type: new Abstract: Persistent agent memory is only as reliable as its retention decision: an assertion weakly supported by its source can be stored and later reused as established fact. We study whether the retention decision should be governed by a confidence bar conditioned on the semantic category of the assertion rather than by a single global threshold, retaining well-evidenced categories liberally while abstaining more aggressively where inference is unreliable. We evaluate this in a deployed cold-start memory pipeline on 100 synthetic personas. The empirical evaluation is motivated by a sharp reliability asymmetry: across 4{,}715 candidate assertions, only
This is a short summary published by AI Global Wire. The full article is owned and hosted by arXiv cs.AI — open it there to read it in full.
Read the full story at arXiv cs.AI- Forskning
- Agenter
- Företag
Related AI news
- OpenRouter: the share of business spending between OpenAI and Anthropic models was roughly even in September, vs. Anthropic commanding a 75% share in January (Angel Au-Yeung/Wall Street Journal)Techmeme · October 8, 2026
- At WebexOne, Cisco’s Jeetu Patel argues the agent era will be won on context, cost and controlSiliconANGLE · October 8, 2026
- Witchbox eyes Taiwan channels, hospitals for AI posture platformDIGITIMES · October 8, 2026
- Ex-ByteDance intern raises $30m for China AI startupTech in Asia · October 8, 2026
- Meta unveils AI agent standard with Walmart, StripeDIGITIMES · October 8, 2026
- AI agents fuel new CPU demand, lifting AMDDIGITIMES · October 8, 2026