arXiv Artificial Intelligence

TEPA: Revoking Stale Memories for Conflict-Robust Language Agents

3 hours ago 10.08.2026 07:00 👁 2 views
TEPA: Revoking Stale Memories for Conflict-Robust Language Agents

Quick summary

arXiv:2608.07429v1 Announce Type: new Abstract: Long-term memory enables language agents to reuse past facts, preferences, and task experience. Persistence also creates a central falsifiability problem: when the world changes, stale memories can remain retrievable and pollute the prompt. We characterize this failure mode as memory pollution: degradation caused by active memories that newer conflicting evidence has superseded. We introduce TEPA, a revocable evidence-memory mechanism that makes validity an explicit state of memory. TEPA represents observations as keyed precedents and revokes act

Key takeaways

  • arXiv:2608.07429v1 Announce Type: new Abstract: Long-term memory enables language agents to reuse past facts, preferences, and task experience.
  • Persistence also creates a central falsifiability problem: when the world changes, stale memories can remain retrievable and pollute the prompt.
  • We characterize this failure mode as memory pollution: degradation caused by active memories that newer conflicting evidence has superseded.

Why it matters

“TEPA: Revoking Stale Memories for Conflict-Robust Language Agents” illustrates how changes in the AI ecosystem can affect products, workflows and user expectations together. Its lasting significance depends on measurable adoption, cost and safety outcomes.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗