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[ARTICLE · art-108230] src=arxiv.org ↗ pub= topic=artificial-intelligence verified=true sentiment=· neutral

When Retrieval Fails Before It Begins: Structurally Indirect Prerequisite Eviction as a Retention Failure in Agentic Memory

A new arXiv preprint (2608.20400v1) identifies a pre-retrieval failure mode in agentic memory called structurally indirect prerequisite eviction, where upstream blocks weakly aligned with a query are discarded under budget pressure. The authors propose Dependency-aware Semantic Garbage Collection (DSGC), a one-hop graph-aware rule, which improves full-chain retention from 0.03 to 0.90 under a lexical encoder and from 0.23 to 1.00 under a sentence encoder in their main suite. The paper provides a deterministic benchmark and per-seed trace diagnostics to support mechanistic analysis of retention failures.

read1 min views1 publishedAug 24, 2026

arXiv:2608.20400v1 Announce Type: new Abstract: Agentic memory under a fixed budget involves two stages: retention and retrieval. Existing retrieval-centered paradigms implicitly assume necessary evidence survives eviction, but we challenge this by isolating a pre-retrieval failure mode: structurally indirect prerequisite eviction, in which upstream blocks weakly aligned with the query are discarded under budget pressure. We provide an operational definition of this failure, a reproducible deterministic benchmark, and per-seed trace diagnostics. Finally, we evaluate Dependency-aware Semantic Garbage Collection (DSGC), a one-hop graph-aware rule. In our main suite, DSGC improves full-chain retention from 0.03 to 0.90 under a lexical encoder and from 0.23 to 1.00 under a sentence encoder. Robustness checks then identify the budget and scaling regimes where the one-hop rule holds or degrades. Our released pipeline and failure postmortem support mechanistic analysis of retention before retrieval as a distinct failure boundary.

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