{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:DYLX43NMYSA62S6N33MHWXD2SE","short_pith_number":"pith:DYLX43NM","schema_version":"1.0","canonical_sha256":"1e177e6dacc481ed4bcdded87b5c7a9104cd2a7d3fd77b2dcfcec9f8c50842ed","source":{"kind":"arxiv","id":"2508.01531","version":1},"attestation_state":"computed","paper":{"title":"Revisiting Gossip Protocols: A Vision for Emergent Coordination in Agentic Multi-Agent Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.MA","authors_text":"Mansura Habiba, Nafiul I. Khan","submitted_at":"2025-08-03T01:18:58Z","abstract_excerpt":"As agentic platforms scale, agents are evolving beyond static roles and fixed toolchains, creating a growing need for flexible, decentralized coordination. Today's structured communication protocols (e.g., direct agent-to-agent messaging) excel at reliability and task delegation, but they fall short in enabling emergent, swarm-like intelligence, where distributed agents continuously learn, adapt, and communicate to form collective cognition. This paper revisits gossip protocols, long valued in distributed systems for their fault tolerance and decentralization, and argues that they offer a miss"},"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":"2508.01531","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2025-08-03T01:18:58Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5a6752ef87788032c90dfeb8b158e81bf3e6e9c133f48e10f7be28c3aae54ef0","abstract_canon_sha256":"ee8b26e1ec939004bac0034bd25b7d1fa1e5be31cb0e7b9ace8e48732cc25a7d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:47:40.448199Z","signature_b64":"QcZJVxQxp/HKXrCIU98snZegF5hLRpO0GBFVmkfyKG3paLqptRRhRP9KEDXml4HYYW01bmWpDsX5gZOok/3dDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1e177e6dacc481ed4bcdded87b5c7a9104cd2a7d3fd77b2dcfcec9f8c50842ed","last_reissued_at":"2026-07-05T11:47:40.447693Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:47:40.447693Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Revisiting Gossip Protocols: A Vision for Emergent Coordination in Agentic Multi-Agent Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.MA","authors_text":"Mansura Habiba, Nafiul I. Khan","submitted_at":"2025-08-03T01:18:58Z","abstract_excerpt":"As agentic platforms scale, agents are evolving beyond static roles and fixed toolchains, creating a growing need for flexible, decentralized coordination. Today's structured communication protocols (e.g., direct agent-to-agent messaging) excel at reliability and task delegation, but they fall short in enabling emergent, swarm-like intelligence, where distributed agents continuously learn, adapt, and communicate to form collective cognition. This paper revisits gossip protocols, long valued in distributed systems for their fault tolerance and decentralization, and argues that they offer a miss"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.01531","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/2508.01531/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":"2508.01531","created_at":"2026-07-05T11:47:40.447763+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.01531v1","created_at":"2026-07-05T11:47:40.447763+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.01531","created_at":"2026-07-05T11:47:40.447763+00:00"},{"alias_kind":"pith_short_12","alias_value":"DYLX43NMYSA6","created_at":"2026-07-05T11:47:40.447763+00:00"},{"alias_kind":"pith_short_16","alias_value":"DYLX43NMYSA62S6N","created_at":"2026-07-05T11:47:40.447763+00:00"},{"alias_kind":"pith_short_8","alias_value":"DYLX43NM","created_at":"2026-07-05T11:47:40.447763+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":3,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.07200","citing_title":"Learning Multi-Agent Communication Protocol: Study on Information Entropy Efficiency in MARL","ref_index":6,"is_internal_anchor":false},{"citing_arxiv_id":"2606.28781","citing_title":"HyphaeDB: A Living Knowledge Topology for Agent-First Memory","ref_index":37,"is_internal_anchor":false},{"citing_arxiv_id":"2604.12213","citing_title":"Modality-Native Routing in Agent-to-Agent Networks: A Multimodal A2A Protocol Extension","ref_index":7,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/DYLX43NMYSA62S6N33MHWXD2SE","json":"https://pith.science/pith/DYLX43NMYSA62S6N33MHWXD2SE.json","graph_json":"https://pith.science/api/pith-number/DYLX43NMYSA62S6N33MHWXD2SE/graph.json","events_json":"https://pith.science/api/pith-number/DYLX43NMYSA62S6N33MHWXD2SE/events.json","paper":"https://pith.science/paper/DYLX43NM"},"agent_actions":{"view_html":"https://pith.science/pith/DYLX43NMYSA62S6N33MHWXD2SE","download_json":"https://pith.science/pith/DYLX43NMYSA62S6N33MHWXD2SE.json","view_paper":"https://pith.science/paper/DYLX43NM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.01531&json=true","fetch_graph":"https://pith.science/api/pith-number/DYLX43NMYSA62S6N33MHWXD2SE/graph.json","fetch_events":"https://pith.science/api/pith-number/DYLX43NMYSA62S6N33MHWXD2SE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DYLX43NMYSA62S6N33MHWXD2SE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DYLX43NMYSA62S6N33MHWXD2SE/action/storage_attestation","attest_author":"https://pith.science/pith/DYLX43NMYSA62S6N33MHWXD2SE/action/author_attestation","sign_citation":"https://pith.science/pith/DYLX43NMYSA62S6N33MHWXD2SE/action/citation_signature","submit_replication":"https://pith.science/pith/DYLX43NMYSA62S6N33MHWXD2SE/action/replication_record"}},"created_at":"2026-07-05T11:47:40.447763+00:00","updated_at":"2026-07-05T11:47:40.447763+00:00"}