pith:SX2HOT3C
Courtroom-Style Multi-Agent Debate with Progressive RAG and Role-Switching for Controversial Claim Verification
Courtroom-style debate with progressive retrieval raises claim verification accuracy to 81.7 percent on Check-COVID.
arxiv:2603.28488 v3 · 2026-03-30 · cs.CL · cs.AI · cs.MA
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\usepackage{pith}
\pithnumber{SX2HOT3C52EXN6KFIUAF3TWEKQ}
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Claims
In zero-shot evaluations on the Check-COVID benchmark, PROClaim achieves 81.7% accuracy, outperforming standard multi-agent debate by 10.0 percentage points, with P-RAG driving the primary performance gains (+7.5 pp).
The assumption that the courtroom structure and progressive evidence retrieval provide genuine robustness against hallucinations and biases, rather than overfitting to the specific Check-COVID dataset or the models used in the evaluation.
PROClaim achieves 81.7% accuracy on Check-COVID claim verification by combining courtroom roles, progressive RAG, and multi-judge aggregation, outperforming standard multi-agent debate by 10 percentage points.
Receipt and verification
| First computed | 2026-08-04T01:52:42.910389Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
95f4774f62ee8976f94545005dcec4543005575664b76b1346b01cb146a0a70c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SX2HOT3C52EXN6KFIUAF3TWEKQ \
| 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: 95f4774f62ee8976f94545005dcec4543005575664b76b1346b01cb146a0a70c
Canonical record JSON
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