{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:WHKONAOK6R5DZMA2BQ46COX2GL","short_pith_number":"pith:WHKONAOK","canonical_record":{"source":{"id":"2506.00066","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2025-05-29T13:57:00Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"904a6d9d1fa63fe2a2f55d70a937d1d2644238c0989909e6e5b07182fce322b6","abstract_canon_sha256":"e22627c5f24252f2ff36ce6f65362d41da6e82b74f59f24e1bc8e9eeb1783652"},"schema_version":"1.0"},"canonical_sha256":"b1d4e681caf47a3cb01a0c39e13afa32d5b5f487d2453547f842033e21b8830d","source":{"kind":"arxiv","id":"2506.00066","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.00066","created_at":"2026-07-05T11:13:28Z"},{"alias_kind":"arxiv_version","alias_value":"2506.00066v1","created_at":"2026-07-05T11:13:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.00066","created_at":"2026-07-05T11:13:28Z"},{"alias_kind":"pith_short_12","alias_value":"WHKONAOK6R5D","created_at":"2026-07-05T11:13:28Z"},{"alias_kind":"pith_short_16","alias_value":"WHKONAOK6R5DZMA2","created_at":"2026-07-05T11:13:28Z"},{"alias_kind":"pith_short_8","alias_value":"WHKONAOK","created_at":"2026-07-05T11:13:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:WHKONAOK6R5DZMA2BQ46COX2GL","target":"record","payload":{"canonical_record":{"source":{"id":"2506.00066","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2025-05-29T13:57:00Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"904a6d9d1fa63fe2a2f55d70a937d1d2644238c0989909e6e5b07182fce322b6","abstract_canon_sha256":"e22627c5f24252f2ff36ce6f65362d41da6e82b74f59f24e1bc8e9eeb1783652"},"schema_version":"1.0"},"canonical_sha256":"b1d4e681caf47a3cb01a0c39e13afa32d5b5f487d2453547f842033e21b8830d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:13:28.399115Z","signature_b64":"d4jOpL8RzxuioqwKf0y6Vg48f5lsb7/ic4BzYB7b+0VE3mI3P5H6R9mGMTLLw3w78sL8GFyxAaVVZNIv/6p8Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b1d4e681caf47a3cb01a0c39e13afa32d5b5f487d2453547f842033e21b8830d","last_reissued_at":"2026-07-05T11:13:28.398644Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:13:28.398644Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.00066","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:13:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2u4R590Cs+lTMbFZqnMeiwXfL1BqtOUSvnN2dz9NW6y/Kn72wo5/kHJVLicipppXy1BCPo464w20GYyAkMZcAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T21:30:06.416203Z"},"content_sha256":"4d3ade3b18bc625dafda37b527b4aff6feca5160c73a2fda324d59fd2c829d52","schema_version":"1.0","event_id":"sha256:4d3ade3b18bc625dafda37b527b4aff6feca5160c73a2fda324d59fd2c829d52"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:WHKONAOK6R5DZMA2BQ46COX2GL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Literature Review Of Multi-Agent Debate For Problem-Solving","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.MA","authors_text":"Arne Tillmann","submitted_at":"2025-05-29T13:57:00Z","abstract_excerpt":"Multi-agent large language models (MA-LLMs) are a rapidly growing research area that leverages multiple interacting language agents to tackle complex tasks, outperforming single-agent large language models. This literature review synthesizes the latest research on agent profiles, communication structures, and decision-making processes, drawing insights from both traditional multi-agent systems and state-of-the-art MA-LLM studies. In doing so, it aims to address the lack of direct comparisons in the field, illustrating how factors like scalability, communication structure, and decision-making p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.00066","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/2506.00066/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:13:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7MQ1jr5hssf7x1AP7jQg5H9HvqsFkkYOSouevlnoADL3mRxzvb6K9JNsx/7aU7N9F7Rs9G/bXyES4LwS17NoCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T21:30:06.416581Z"},"content_sha256":"8cc0c1ed870fca75762d716318d08afaf5a0cc60fa5a51d4d0f76c14910c3c58","schema_version":"1.0","event_id":"sha256:8cc0c1ed870fca75762d716318d08afaf5a0cc60fa5a51d4d0f76c14910c3c58"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WHKONAOK6R5DZMA2BQ46COX2GL/bundle.json","state_url":"https://pith.science/pith/WHKONAOK6R5DZMA2BQ46COX2GL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WHKONAOK6R5DZMA2BQ46COX2GL/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-07T21:30:06Z","links":{"resolver":"https://pith.science/pith/WHKONAOK6R5DZMA2BQ46COX2GL","bundle":"https://pith.science/pith/WHKONAOK6R5DZMA2BQ46COX2GL/bundle.json","state":"https://pith.science/pith/WHKONAOK6R5DZMA2BQ46COX2GL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WHKONAOK6R5DZMA2BQ46COX2GL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WHKONAOK6R5DZMA2BQ46COX2GL","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":"e22627c5f24252f2ff36ce6f65362d41da6e82b74f59f24e1bc8e9eeb1783652","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2025-05-29T13:57:00Z","title_canon_sha256":"904a6d9d1fa63fe2a2f55d70a937d1d2644238c0989909e6e5b07182fce322b6"},"schema_version":"1.0","source":{"id":"2506.00066","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.00066","created_at":"2026-07-05T11:13:28Z"},{"alias_kind":"arxiv_version","alias_value":"2506.00066v1","created_at":"2026-07-05T11:13:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.00066","created_at":"2026-07-05T11:13:28Z"},{"alias_kind":"pith_short_12","alias_value":"WHKONAOK6R5D","created_at":"2026-07-05T11:13:28Z"},{"alias_kind":"pith_short_16","alias_value":"WHKONAOK6R5DZMA2","created_at":"2026-07-05T11:13:28Z"},{"alias_kind":"pith_short_8","alias_value":"WHKONAOK","created_at":"2026-07-05T11:13:28Z"}],"graph_snapshots":[{"event_id":"sha256:8cc0c1ed870fca75762d716318d08afaf5a0cc60fa5a51d4d0f76c14910c3c58","target":"graph","created_at":"2026-07-05T11:13:28Z","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/2506.00066/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-agent large language models (MA-LLMs) are a rapidly growing research area that leverages multiple interacting language agents to tackle complex tasks, outperforming single-agent large language models. This literature review synthesizes the latest research on agent profiles, communication structures, and decision-making processes, drawing insights from both traditional multi-agent systems and state-of-the-art MA-LLM studies. In doing so, it aims to address the lack of direct comparisons in the field, illustrating how factors like scalability, communication structure, and decision-making p","authors_text":"Arne Tillmann","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2025-05-29T13:57:00Z","title":"Literature Review Of Multi-Agent Debate For Problem-Solving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.00066","kind":"arxiv","version":1},"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":"sha256:4d3ade3b18bc625dafda37b527b4aff6feca5160c73a2fda324d59fd2c829d52","target":"record","created_at":"2026-07-05T11:13:28Z","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":"e22627c5f24252f2ff36ce6f65362d41da6e82b74f59f24e1bc8e9eeb1783652","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2025-05-29T13:57:00Z","title_canon_sha256":"904a6d9d1fa63fe2a2f55d70a937d1d2644238c0989909e6e5b07182fce322b6"},"schema_version":"1.0","source":{"id":"2506.00066","kind":"arxiv","version":1}},"canonical_sha256":"b1d4e681caf47a3cb01a0c39e13afa32d5b5f487d2453547f842033e21b8830d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b1d4e681caf47a3cb01a0c39e13afa32d5b5f487d2453547f842033e21b8830d","first_computed_at":"2026-07-05T11:13:28.398644Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:13:28.398644Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"d4jOpL8RzxuioqwKf0y6Vg48f5lsb7/ic4BzYB7b+0VE3mI3P5H6R9mGMTLLw3w78sL8GFyxAaVVZNIv/6p8Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:13:28.399115Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.00066","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4d3ade3b18bc625dafda37b527b4aff6feca5160c73a2fda324d59fd2c829d52","sha256:8cc0c1ed870fca75762d716318d08afaf5a0cc60fa5a51d4d0f76c14910c3c58"],"state_sha256":"d316f6626804457e8b0b0eaf8ac0435a54165cdcae31cc93e1608ffcb8523481"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XvrpmEW//B/8GgZ6RJoNpHg/vEJi7UM5s1A/W/5IUdfEgfTs8fvHtEa7yHswE2eAKwmPQmR+GYi0sNvq354gDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T21:30:06.419748Z","bundle_sha256":"578a3284859bc31fb49180c8177593cfd766555cac96493c68d181fd70f3e5e3"}}