{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:H4ODC7IUUMTPMY7P52XHMQX63O","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"7d3a00818b47c75820fc258af17d37b8f7daf536ddd3d5cc86058088b1ae867c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2026-04-21T02:46:10Z","title_canon_sha256":"32450ae382c22c23e44ab0f3575a52c2cc4f778c8782cf3040aba19d6d4f850f"},"schema_version":"1.0","source":{"id":"2604.19005","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2604.19005","created_at":"2026-06-03T01:05:13Z"},{"alias_kind":"arxiv_version","alias_value":"2604.19005v2","created_at":"2026-06-03T01:05:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2604.19005","created_at":"2026-06-03T01:05:13Z"},{"alias_kind":"pith_short_12","alias_value":"H4ODC7IUUMTP","created_at":"2026-06-03T01:05:13Z"},{"alias_kind":"pith_short_16","alias_value":"H4ODC7IUUMTPMY7P","created_at":"2026-06-03T01:05:13Z"},{"alias_kind":"pith_short_8","alias_value":"H4ODC7IU","created_at":"2026-06-03T01:05:13Z"}],"graph_snapshots":[{"event_id":"sha256:91a819b51505307ad30c1b6210e07bedbe00aa6a6949f31fbba1e51bf01650d7","target":"graph","created_at":"2026-06-03T01:05:13Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":4,"items":[{"attestation":"unclaimed","claim_id":"C1","kind":"strongest_claim","source":"verdict.strongest_claim","status":"machine_extracted","text":"Experiments show that RADAR consistently outperforms strong single- and multi-agent baselines across datasets and backbones, improving omission detection accuracy while reducing reasoning cost."},{"attestation":"unclaimed","claim_id":"C2","kind":"weakest_assumption","source":"verdict.weakest_assumption","status":"machine_extracted","text":"That complementary role assignment and adversarial debate over shared retrieved evidence, combined with dual-threshold early termination, reliably uncovers omitted context without introducing new biases or requiring perfect retrieval."},{"attestation":"unclaimed","claim_id":"C3","kind":"one_line_summary","source":"verdict.one_line_summary","status":"machine_extracted","text":"RADAR is a role-anchored multi-agent debate framework that improves half-truth detection by reasoning about omitted context in noisy retrieved evidence."},{"attestation":"unclaimed","claim_id":"C4","kind":"headline","source":"verdict.pith_extraction.headline","status":"machine_extracted","text":"Role-anchored multi-agent debate detects half-truths by exposing omitted context in claims."}],"snapshot_sha256":"a415dafafb805ac6705867db545a83d739cb1adba8b1747f09ab38388a44e005"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[{"findings_count":0,"name":"doi_compliance","ran_at":"2026-05-20T03:25:15.292392Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2604.19005/integrity.json","findings":[],"snapshot_sha256":"9eb1a1d49ad1fb2d57c4561603c5078d3f7aa78339f099de4e1c6264dfb943b6","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Half-truths, claims that are factually correct yet misleading due to omitted context, remain a blind spot for fact verification systems focused on explicit falsehoods. Addressing such omission-based manipulation requires reasoning not only about what is said, but also about what is left unsaid. We propose RADAR, a role-anchored multi-agent debate framework for omission-aware fact verification under realistic, noisy retrieval. RADAR assigns complementary roles to a Politician and a Scientist, who reason adversarially over shared retrieved evidence, moderated by a neutral Judge. A dual-threshold","authors_text":"Anthony K.H. Tung, Hang Feng, Yirui Zhang, Yixuan Tang","cross_cats":[],"headline":"Role-anchored multi-agent debate detects half-truths by exposing omitted context in claims.","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2026-04-21T02:46:10Z","title":"Debating the Unspoken: Role-Anchored Multi-Agent Reasoning for Half-Truth Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2604.19005","kind":"arxiv","version":2},"verdict":{"created_at":"2026-05-10T02:37:38.351275Z","id":"1c31d13b-c1fe-49c8-9cf5-98455a61bc85","model_set":{"reader":"grok-4.3"},"one_line_summary":"RADAR is a role-anchored multi-agent debate framework that improves half-truth detection by reasoning about omitted context in noisy retrieved evidence.","pipeline_version":"pith-pipeline@v0.9.0","pith_extraction_headline":"Role-anchored multi-agent debate detects half-truths by exposing omitted context in claims.","strongest_claim":"Experiments show that RADAR consistently outperforms strong single- and multi-agent baselines across datasets and backbones, improving omission detection accuracy while reducing reasoning cost.","weakest_assumption":"That complementary role assignment and adversarial debate over shared retrieved evidence, combined with dual-threshold early termination, reliably uncovers omitted context without introducing new biases or requiring perfect retrieval."}},"verdict_id":"1c31d13b-c1fe-49c8-9cf5-98455a61bc85"}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:ffb49d80dcb2ab2b916ccf160f4301280f10883337a4d8da08513c97d89f4e53","target":"record","created_at":"2026-06-03T01:05:13Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"7d3a00818b47c75820fc258af17d37b8f7daf536ddd3d5cc86058088b1ae867c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2026-04-21T02:46:10Z","title_canon_sha256":"32450ae382c22c23e44ab0f3575a52c2cc4f778c8782cf3040aba19d6d4f850f"},"schema_version":"1.0","source":{"id":"2604.19005","kind":"arxiv","version":2}},"canonical_sha256":"3f1c317d14a326f663efeeae7642fedb971a8e1f4632721b299b78078d855463","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3f1c317d14a326f663efeeae7642fedb971a8e1f4632721b299b78078d855463","first_computed_at":"2026-06-03T01:05:13.948730Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-03T01:05:13.948730Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1Kq29tF8uNM5OHMXqW5p+/x3VCM6EC2ckp049rBKsttcdl6dXbAQjSRS12MUG4br4uCGTwZcyTlqOO3M1c+RAA==","signature_status":"signed_v1","signed_at":"2026-06-03T01:05:13.949125Z","signed_message":"canonical_sha256_bytes"},"source_id":"2604.19005","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ffb49d80dcb2ab2b916ccf160f4301280f10883337a4d8da08513c97d89f4e53","sha256:91a819b51505307ad30c1b6210e07bedbe00aa6a6949f31fbba1e51bf01650d7"],"state_sha256":"722ae360d32005bc414529c0bc531707f9ba76a0cc2682cdd58e5a6b25109a86"}