{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:WGLE6QWCBHB7RZCVQCH34KPSSA","short_pith_number":"pith:WGLE6QWC","schema_version":"1.0","canonical_sha256":"b1964f42c209c3f8e455808fbe29f2901f55a908d5158b617509ee021fbcb125","source":{"kind":"arxiv","id":"2606.08457","version":1},"attestation_state":"computed","paper":{"title":"The Consistency Illusion: How Multi-Agent Debate Hides Reasoning Misalignment","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.MA","authors_text":"Christopher C. Yang, Xiaoyang Wang","submitted_at":"2026-06-07T05:14:26Z","abstract_excerpt":"Multi-agent LLM systems for medical question answering often treat consensus as a reliability signal: if multiple agents agree on an answer, it is presumed trustworthy. However, answer-level consensus does not entail reasoning-level alignment. We introduce CARA (Cross-Agent Reasoning Alignment), a family of automated metrics that measure whether agents who agree on an answer also agree on the reasoning. Applying CARA to a standard debate system on two medical QA benchmarks, MedQA-USMLE and MedThink-Bench, we identify the consistency illusion: a failure mode where debate reduces detectable cont"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.08457","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2026-06-07T05:14:26Z","cross_cats_sorted":[],"title_canon_sha256":"e265e33b0d39383d6e98e65e3fe9102b7285a4496b026571f9d6e9d2f0cb7e75","abstract_canon_sha256":"86b3d4b01d43500cb980c9ffe13bcf38af69c33a7933d0311075cdee44a008cf"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T01:05:37.134646Z","signature_b64":"XHS1vvZLzmmqK3Y7r+ZxI/mRihgiSDJGUdKBUObHqpdWTdC/Fj3iW/3gjyovP9ceRkBFmgpQVicfxPjtPpbhBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b1964f42c209c3f8e455808fbe29f2901f55a908d5158b617509ee021fbcb125","last_reissued_at":"2026-06-09T01:05:37.134238Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T01:05:37.134238Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The Consistency Illusion: How Multi-Agent Debate Hides Reasoning Misalignment","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.MA","authors_text":"Christopher C. Yang, Xiaoyang Wang","submitted_at":"2026-06-07T05:14:26Z","abstract_excerpt":"Multi-agent LLM systems for medical question answering often treat consensus as a reliability signal: if multiple agents agree on an answer, it is presumed trustworthy. However, answer-level consensus does not entail reasoning-level alignment. We introduce CARA (Cross-Agent Reasoning Alignment), a family of automated metrics that measure whether agents who agree on an answer also agree on the reasoning. Applying CARA to a standard debate system on two medical QA benchmarks, MedQA-USMLE and MedThink-Bench, we identify the consistency illusion: a failure mode where debate reduces detectable cont"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.08457","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.08457/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.08457","created_at":"2026-06-09T01:05:37.134300+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.08457v1","created_at":"2026-06-09T01:05:37.134300+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.08457","created_at":"2026-06-09T01:05:37.134300+00:00"},{"alias_kind":"pith_short_12","alias_value":"WGLE6QWCBHB7","created_at":"2026-06-09T01:05:37.134300+00:00"},{"alias_kind":"pith_short_16","alias_value":"WGLE6QWCBHB7RZCV","created_at":"2026-06-09T01:05:37.134300+00:00"},{"alias_kind":"pith_short_8","alias_value":"WGLE6QWC","created_at":"2026-06-09T01:05:37.134300+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/WGLE6QWCBHB7RZCVQCH34KPSSA","json":"https://pith.science/pith/WGLE6QWCBHB7RZCVQCH34KPSSA.json","graph_json":"https://pith.science/api/pith-number/WGLE6QWCBHB7RZCVQCH34KPSSA/graph.json","events_json":"https://pith.science/api/pith-number/WGLE6QWCBHB7RZCVQCH34KPSSA/events.json","paper":"https://pith.science/paper/WGLE6QWC"},"agent_actions":{"view_html":"https://pith.science/pith/WGLE6QWCBHB7RZCVQCH34KPSSA","download_json":"https://pith.science/pith/WGLE6QWCBHB7RZCVQCH34KPSSA.json","view_paper":"https://pith.science/paper/WGLE6QWC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.08457&json=true","fetch_graph":"https://pith.science/api/pith-number/WGLE6QWCBHB7RZCVQCH34KPSSA/graph.json","fetch_events":"https://pith.science/api/pith-number/WGLE6QWCBHB7RZCVQCH34KPSSA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WGLE6QWCBHB7RZCVQCH34KPSSA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WGLE6QWCBHB7RZCVQCH34KPSSA/action/storage_attestation","attest_author":"https://pith.science/pith/WGLE6QWCBHB7RZCVQCH34KPSSA/action/author_attestation","sign_citation":"https://pith.science/pith/WGLE6QWCBHB7RZCVQCH34KPSSA/action/citation_signature","submit_replication":"https://pith.science/pith/WGLE6QWCBHB7RZCVQCH34KPSSA/action/replication_record"}},"created_at":"2026-06-09T01:05:37.134300+00:00","updated_at":"2026-06-09T01:05:37.134300+00:00"}