Where FactsGo Missing: A LayerwiseTaxonomy and Per-Layer Attribution of Information Omissionin Air-Gapped LLM Agent Pipelines
4.20T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2607.22448.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryA research paper introducing a nine-layer taxonomy (L0-L8) for information omission in air-gapped LLM agent pipelines, an attribution methodology separating deterministic from behavioral layers, and a runtime-detection framework. A 75,476-trial sweep across five models found 68% of omissions originate in deterministic middleware (L0-L3).
Why it mattersReframes agent reliability as a pipeline problem rather than a model problem, giving operators a concrete measurement approach and pointing them to middleware as the primary intervention point.
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