{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:R5Z323CNTSR37N7W2ZTHD4YSVD","short_pith_number":"pith:R5Z323CN","canonical_record":{"source":{"id":"2504.00587","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2025-04-01T09:45:25Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"cf17c3cfa3d80ad2179cd10d7f4d695fac650a4f70061a40b54aaa76920955ea","abstract_canon_sha256":"d80e15296cd8876a000d47a77e22c0b0844b734117d28b64288f6af28e34d83c"},"schema_version":"1.0"},"canonical_sha256":"8f73bd6c4d9ca3bfb7f6d66671f312a8d436a9ca3b667d75bea5ccedc2541b58","source":{"kind":"arxiv","id":"2504.00587","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.00587","created_at":"2026-07-05T11:12:30Z"},{"alias_kind":"arxiv_version","alias_value":"2504.00587v2","created_at":"2026-07-05T11:12:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.00587","created_at":"2026-07-05T11:12:30Z"},{"alias_kind":"pith_short_12","alias_value":"R5Z323CNTSR3","created_at":"2026-07-05T11:12:30Z"},{"alias_kind":"pith_short_16","alias_value":"R5Z323CNTSR37N7W","created_at":"2026-07-05T11:12:30Z"},{"alias_kind":"pith_short_8","alias_value":"R5Z323CN","created_at":"2026-07-05T11:12:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:R5Z323CNTSR37N7W2ZTHD4YSVD","target":"record","payload":{"canonical_record":{"source":{"id":"2504.00587","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2025-04-01T09:45:25Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"cf17c3cfa3d80ad2179cd10d7f4d695fac650a4f70061a40b54aaa76920955ea","abstract_canon_sha256":"d80e15296cd8876a000d47a77e22c0b0844b734117d28b64288f6af28e34d83c"},"schema_version":"1.0"},"canonical_sha256":"8f73bd6c4d9ca3bfb7f6d66671f312a8d436a9ca3b667d75bea5ccedc2541b58","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:12:30.191276Z","signature_b64":"y3uh3h2JUlwiB7pr930Pc4TWmSNYyVHxffKX3WgAYWs5N4OVHGYS5WzWZe46Ua+Yn4UB9vEh1f8P9/4IswaGCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8f73bd6c4d9ca3bfb7f6d66671f312a8d436a9ca3b667d75bea5ccedc2541b58","last_reissued_at":"2026-07-05T11:12:30.190754Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:12:30.190754Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.00587","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:12:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+tPp0MPPd+OR4ptLSjZF8W4wZVSzKw0eeW/3Le8pr5P37HZMepbIoGCgP9e2jWEDKFqheqOEtBCiCng9e3NkAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:40:54.239686Z"},"content_sha256":"c8664d3b6b171b190415e3297ba94d083dfd0356ee4a6b43c593ad04e9a0897f","schema_version":"1.0","event_id":"sha256:c8664d3b6b171b190415e3297ba94d083dfd0356ee4a6b43c593ad04e9a0897f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:R5Z323CNTSR37N7W2ZTHD4YSVD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.MA","authors_text":"Huacan Chai, Renting Rui, Shuai Shao, Siyuan Qi, Weinan Zhang, Yingxuan Yang, Yuanyi Song","submitted_at":"2025-04-01T09:45:25Z","abstract_excerpt":"The rapid advancement of large language models (LLMs) has enabled the development of multi-agent systems where multiple LLM-based agents collaborate on complex tasks. However, existing systems often rely on centralized coordination, leading to scalability bottlenecks, reduced adaptability, and single points of failure. Privacy and proprietary knowledge concerns further hinder cross-organizational collaboration, resulting in siloed expertise. We propose AgentNet, a decentralized, Retrieval-Augmented Generation (RAG)-based framework that enables LLM-based agents to specialize, evolve, and collab"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.00587","kind":"arxiv","version":2},"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/2504.00587/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":"2026-07-05T11:12:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9B0TBEYduKrIVdSin2MzV0cU5dqupyBRZXNK/P9kSvFMaOS2s5ChRx5Dk5msuDZ9oCQF9HyGIaoxkwQXjgr4DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:40:54.240050Z"},"content_sha256":"bde55673f7e4c61ed0a53132abff64c87c0f8ef25e1f2125010af23dbe0a8c46","schema_version":"1.0","event_id":"sha256:bde55673f7e4c61ed0a53132abff64c87c0f8ef25e1f2125010af23dbe0a8c46"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/R5Z323CNTSR37N7W2ZTHD4YSVD/bundle.json","state_url":"https://pith.science/pith/R5Z323CNTSR37N7W2ZTHD4YSVD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/R5Z323CNTSR37N7W2ZTHD4YSVD/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":"2026-07-07T08:40:54Z","links":{"resolver":"https://pith.science/pith/R5Z323CNTSR37N7W2ZTHD4YSVD","bundle":"https://pith.science/pith/R5Z323CNTSR37N7W2ZTHD4YSVD/bundle.json","state":"https://pith.science/pith/R5Z323CNTSR37N7W2ZTHD4YSVD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/R5Z323CNTSR37N7W2ZTHD4YSVD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:R5Z323CNTSR37N7W2ZTHD4YSVD","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":"d80e15296cd8876a000d47a77e22c0b0844b734117d28b64288f6af28e34d83c","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2025-04-01T09:45:25Z","title_canon_sha256":"cf17c3cfa3d80ad2179cd10d7f4d695fac650a4f70061a40b54aaa76920955ea"},"schema_version":"1.0","source":{"id":"2504.00587","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.00587","created_at":"2026-07-05T11:12:30Z"},{"alias_kind":"arxiv_version","alias_value":"2504.00587v2","created_at":"2026-07-05T11:12:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.00587","created_at":"2026-07-05T11:12:30Z"},{"alias_kind":"pith_short_12","alias_value":"R5Z323CNTSR3","created_at":"2026-07-05T11:12:30Z"},{"alias_kind":"pith_short_16","alias_value":"R5Z323CNTSR37N7W","created_at":"2026-07-05T11:12:30Z"},{"alias_kind":"pith_short_8","alias_value":"R5Z323CN","created_at":"2026-07-05T11:12:30Z"}],"graph_snapshots":[{"event_id":"sha256:bde55673f7e4c61ed0a53132abff64c87c0f8ef25e1f2125010af23dbe0a8c46","target":"graph","created_at":"2026-07-05T11:12:30Z","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/2504.00587/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rapid advancement of large language models (LLMs) has enabled the development of multi-agent systems where multiple LLM-based agents collaborate on complex tasks. However, existing systems often rely on centralized coordination, leading to scalability bottlenecks, reduced adaptability, and single points of failure. Privacy and proprietary knowledge concerns further hinder cross-organizational collaboration, resulting in siloed expertise. We propose AgentNet, a decentralized, Retrieval-Augmented Generation (RAG)-based framework that enables LLM-based agents to specialize, evolve, and collab","authors_text":"Huacan Chai, Renting Rui, Shuai Shao, Siyuan Qi, Weinan Zhang, Yingxuan Yang, Yuanyi Song","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2025-04-01T09:45:25Z","title":"AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.00587","kind":"arxiv","version":2},"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:c8664d3b6b171b190415e3297ba94d083dfd0356ee4a6b43c593ad04e9a0897f","target":"record","created_at":"2026-07-05T11:12:30Z","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":"d80e15296cd8876a000d47a77e22c0b0844b734117d28b64288f6af28e34d83c","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2025-04-01T09:45:25Z","title_canon_sha256":"cf17c3cfa3d80ad2179cd10d7f4d695fac650a4f70061a40b54aaa76920955ea"},"schema_version":"1.0","source":{"id":"2504.00587","kind":"arxiv","version":2}},"canonical_sha256":"8f73bd6c4d9ca3bfb7f6d66671f312a8d436a9ca3b667d75bea5ccedc2541b58","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8f73bd6c4d9ca3bfb7f6d66671f312a8d436a9ca3b667d75bea5ccedc2541b58","first_computed_at":"2026-07-05T11:12:30.190754Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:12:30.190754Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"y3uh3h2JUlwiB7pr930Pc4TWmSNYyVHxffKX3WgAYWs5N4OVHGYS5WzWZe46Ua+Yn4UB9vEh1f8P9/4IswaGCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:12:30.191276Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.00587","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c8664d3b6b171b190415e3297ba94d083dfd0356ee4a6b43c593ad04e9a0897f","sha256:bde55673f7e4c61ed0a53132abff64c87c0f8ef25e1f2125010af23dbe0a8c46"],"state_sha256":"b833b64b729d7e2f2c849904e4970536a0e3c2d1c09cfc1e60fd776ecc2ee16d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4z02sTjZAU4+CBe0jSLr1rQijkRqGDFew95k9/ktNfSmSexeaZPh7PpgyHSSshTlSi/gZy9KfF9gXJNjhayoCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T08:40:54.242059Z","bundle_sha256":"e175d90f65a5d577c1159bfdda6a6d10ba36a4d95bf5d8cbc98c2089eb9e34da"}}