pith:7QL2LDXC
Facet-Level Tracing of Evidence Uncertainty and Hallucination in RAG
Hallucinations in RAG systems arise mainly from how retrieved evidence is integrated during generation rather than from retrieval failures.
arxiv:2604.09174 v2 · 2026-04-10 · cs.CL
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\pithnumber{7QL2LDXCLBGTI3KB3F752RRU6I}
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Claims
hallucinations in RAG systems are driven less by retrieval accuracy and more by how retrieved evidence is integrated during generation, with facet-level analysis exposing systematic evidence override and misalignment patterns that remain hidden under answer-level evaluation.
That automatic decomposition of questions into atomic facets combined with NLI-based faithfulness scoring reliably captures whether and how evidence is used or overridden during generation.
Facet-level analysis of RAG systems on medical QA and HotpotQA shows hallucinations stem primarily from evidence integration and override failures during generation, not from retrieval inaccuracy.
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Receipt and verification
| First computed | 2026-05-21T01:04:25.596868Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7QL2LDXCLBGTI3KB3F752RRU6I \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: fc17a58ee2584d346d41d97fdd4634f221b1c5cc9d651b058d3bc2791de1e1e5
Canonical record JSON
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