pith:VVAKTGNX
When Evidence Conflicts: Uncertainty and Order Effects in Retrieval-Augmented Biomedical Question Answering
Reversing the order of conflicting biomedical documents causes large language models to flip their answers in 11 to 25 percent of cases.
arxiv:2605.14115 v1 · 2026-05-13 · cs.CL
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Record completeness
Claims
In this conflicting-evidence order contrast, where the same two documents are both present and only their order is reversed, accuracy drops for every model and 11.4%--25.2% of predictions flip.
That the controlled conflicting-evidence conditions created in HealthContradict are representative of the contradictory or incomplete evidence that real-world biomedical RAG systems encounter.
Conflicting biomedical evidence triggers order-dependent prediction flips in RAG LLMs, and a new abstention score combining confidence with conflict detection raises selective accuracy by 7-33 points in the hardest conditions.
References
Receipt and verification
| First computed | 2026-05-17T23:39:11.957796Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ad40a999b7ca67ca0a9d0a83e3554ffa277f375d1753ecd6457faa5be0708700
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VVAKTGNXZJT4UCU5BKB6GVKP7I \
| 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: ad40a999b7ca67ca0a9d0a83e3554ffa277f375d1753ecd6457faa5be0708700
Canonical record JSON
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