{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:LEASKPAMZ477C2QK27CP4LDKG2","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":"72312114cda0d48b4df988bfd51871c2cf82fe31628e60147c78826923439094","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-19T11:15:33Z","title_canon_sha256":"6f322495aa02b3b15ada7f54cee763622e1f363c1f2ac7d9a853100cbedd8e4c"},"schema_version":"1.0","source":{"id":"2305.11595","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.11595","created_at":"2026-07-05T09:35:05Z"},{"alias_kind":"arxiv_version","alias_value":"2305.11595v3","created_at":"2026-07-05T09:35:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.11595","created_at":"2026-07-05T09:35:05Z"},{"alias_kind":"pith_short_12","alias_value":"LEASKPAMZ477","created_at":"2026-07-05T09:35:05Z"},{"alias_kind":"pith_short_16","alias_value":"LEASKPAMZ477C2QK","created_at":"2026-07-05T09:35:05Z"},{"alias_kind":"pith_short_8","alias_value":"LEASKPAM","created_at":"2026-07-05T09:35:05Z"}],"graph_snapshots":[{"event_id":"sha256:b6a9a7c6ef240e4953e28fd0c0e5157a7b6fe2d5bddc39a1928a8622fd13e4cf","target":"graph","created_at":"2026-07-05T09:35:05Z","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":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2305.11595/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have shown impressive capabilities in various applications, but they still face various inconsistency issues. Existing works primarily focus on the inconsistency issues within a single LLM, while we complementarily explore the inter-consistency among multiple LLMs for collaboration. To examine whether LLMs can collaborate effectively to achieve a consensus for a shared goal, we focus on commonsense reasoning, and introduce a formal debate framework (FORD) to conduct a three-stage debate among LLMs with real-world scenarios alignment: fair debate, mismatched debate,","authors_text":"Bing Qin, Kai Xiong, Ting Liu, Xiao Ding, Yixin Cao","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-19T11:15:33Z","title":"Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.11595","kind":"arxiv","version":3},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:c89208784e52bfd3ec1e05fb707b3eac4343acbda5639b1f08e8b08f0fddfb09","target":"record","created_at":"2026-07-05T09:35:05Z","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":"72312114cda0d48b4df988bfd51871c2cf82fe31628e60147c78826923439094","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-05-19T11:15:33Z","title_canon_sha256":"6f322495aa02b3b15ada7f54cee763622e1f363c1f2ac7d9a853100cbedd8e4c"},"schema_version":"1.0","source":{"id":"2305.11595","kind":"arxiv","version":3}},"canonical_sha256":"5901253c0ccf3ff16a0ad7c4fe2c6a36a7379a11abac4a1e9ae42cce5d80aea7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5901253c0ccf3ff16a0ad7c4fe2c6a36a7379a11abac4a1e9ae42cce5d80aea7","first_computed_at":"2026-07-05T09:35:05.828218Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:35:05.828218Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NYLDbiil598WoNepvcQ7Uv4oIF0dfHI2lOlYpMFWJdN4X+L8uvcSPrX992c4EyzYa0XUdFgV8nOEURu42AaXBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:35:05.828787Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.11595","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c89208784e52bfd3ec1e05fb707b3eac4343acbda5639b1f08e8b08f0fddfb09","sha256:b6a9a7c6ef240e4953e28fd0c0e5157a7b6fe2d5bddc39a1928a8622fd13e4cf"],"state_sha256":"fbbe741c079e9f9a56ddd5037ecb9ade28dd2b5a75dd6a0cc58d51d528aa511f"}