Evidence Blindness in Direct Corpus Interaction: Persistent Navigation with AtlasNav
Large language model agents are moving beyond conventional retrieval-augmented generation toward direct interaction with external corpora. Direct Corpus Interaction (DCI) keeps the full corpus accessible, yet reachable evidence can remain unusable under finite interaction budgets. Required evidence may fail to surface, a surfaced supporting document may remain unopened, or an opened document may fail to expose its decisive fragment. We call this progressive silent loss Evidence Blindness and quantify it through stage-wise evidence realization. Within the DCI paradigm, raw interaction adds litt
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- LinkedLinked via arxiv author · 85%Hongyu Guo →
“Evidence Blindness in Direct Corpus Interaction: Persistent Navigation with AtlasNav”
- LinkedLinked via arxiv author · 85%Zhiyu Zheng →
“Evidence Blindness in Direct Corpus Interaction: Persistent Navigation with AtlasNav”
- LinkedLinked via arxiv author · 85%Zhao Cao →
“Evidence Blindness in Direct Corpus Interaction: Persistent Navigation with AtlasNav”
- FuzzyOverlapping authors or contributors · 62%mudler/LocalAI →
“Shared author/contributor keys: guo”