{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:RZL3JIWJ4JSBPKVKGXULK2J4HL","short_pith_number":"pith:RZL3JIWJ","canonical_record":{"source":{"id":"2405.08550","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-14T12:40:25Z","cross_cats_sorted":[],"title_canon_sha256":"3c2ccedc58fa8eca4a4ece12ef07ed88e5fed2d93b7cfba24ae69d02aa813a8b","abstract_canon_sha256":"79979d3ac28536fff5c319ee2aa0aa3dee90c1fbe18d698efe98a0269375d74e"},"schema_version":"1.0"},"canonical_sha256":"8e57b4a2c9e26417aaaa35e8b5693c3af4b7abeb00aa5f6a63a7b60e8fede2b5","source":{"kind":"arxiv","id":"2405.08550","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.08550","created_at":"2026-07-05T08:19:02Z"},{"alias_kind":"arxiv_version","alias_value":"2405.08550v1","created_at":"2026-07-05T08:19:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.08550","created_at":"2026-07-05T08:19:02Z"},{"alias_kind":"pith_short_12","alias_value":"RZL3JIWJ4JSB","created_at":"2026-07-05T08:19:02Z"},{"alias_kind":"pith_short_16","alias_value":"RZL3JIWJ4JSBPKVK","created_at":"2026-07-05T08:19:02Z"},{"alias_kind":"pith_short_8","alias_value":"RZL3JIWJ","created_at":"2026-07-05T08:19:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:RZL3JIWJ4JSBPKVKGXULK2J4HL","target":"record","payload":{"canonical_record":{"source":{"id":"2405.08550","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-14T12:40:25Z","cross_cats_sorted":[],"title_canon_sha256":"3c2ccedc58fa8eca4a4ece12ef07ed88e5fed2d93b7cfba24ae69d02aa813a8b","abstract_canon_sha256":"79979d3ac28536fff5c319ee2aa0aa3dee90c1fbe18d698efe98a0269375d74e"},"schema_version":"1.0"},"canonical_sha256":"8e57b4a2c9e26417aaaa35e8b5693c3af4b7abeb00aa5f6a63a7b60e8fede2b5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:19:02.063164Z","signature_b64":"qvMZKHYArcoOZJHCKrW/FBMwJfBAdNVvExsBMd3RBZRHXZT2QatMS/6ldKJKuWi5BskUdTX20EYkcfvpg8vjDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8e57b4a2c9e26417aaaa35e8b5693c3af4b7abeb00aa5f6a63a7b60e8fede2b5","last_reissued_at":"2026-07-05T08:19:02.062690Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:19:02.062690Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.08550","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":"2026-07-05T08:19:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V6FGSD2aydVlRFT9CYv9KNQt88uQRLjU1l3OSEv2ztUzZogHBw0lGAUXkwDvlwcnHyYQWibL1adXOQsaU93FBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T12:05:28.050018Z"},"content_sha256":"0879e3180b8fae2eb9faa758bf13c24bbf7e91342908b3105ddedcc22dfe8e13","schema_version":"1.0","event_id":"sha256:0879e3180b8fae2eb9faa758bf13c24bbf7e91342908b3105ddedcc22dfe8e13"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:RZL3JIWJ4JSBPKVKGXULK2J4HL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Multi-Agent Communication from Graph Modeling Perspective","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Dacheng Tao, Li Shen, Shengchao Hu, Ya Zhang","submitted_at":"2024-05-14T12:40:25Z","abstract_excerpt":"In numerous artificial intelligence applications, the collaborative efforts of multiple intelligent agents are imperative for the successful attainment of target objectives. To enhance coordination among these agents, a distributed communication framework is often employed. However, information sharing among all agents proves to be resource-intensive, while the adoption of a manually pre-defined communication architecture imposes limitations on inter-agent communication, thereby constraining the potential for collaborative efforts. In this study, we introduce a novel approach wherein we concep"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.08550","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/2405.08550/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":"2026-07-05T08:19:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mS8i+cHZvwpAVxEMdPucQVk/Hbt9443XNQpaj+5fDnoyzVVp+wKAuczFNxBTHUvXjsbotXahXwoj4ckuQgw0Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T12:05:28.050534Z"},"content_sha256":"0885480f3cb9928e1087da497e15cf38e9ff46dc02b267963438a5fc3cdcc6db","schema_version":"1.0","event_id":"sha256:0885480f3cb9928e1087da497e15cf38e9ff46dc02b267963438a5fc3cdcc6db"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RZL3JIWJ4JSBPKVKGXULK2J4HL/bundle.json","state_url":"https://pith.science/pith/RZL3JIWJ4JSBPKVKGXULK2J4HL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RZL3JIWJ4JSBPKVKGXULK2J4HL/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":"2026-08-22T12:05:28Z","links":{"resolver":"https://pith.science/pith/RZL3JIWJ4JSBPKVKGXULK2J4HL","bundle":"https://pith.science/pith/RZL3JIWJ4JSBPKVKGXULK2J4HL/bundle.json","state":"https://pith.science/pith/RZL3JIWJ4JSBPKVKGXULK2J4HL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RZL3JIWJ4JSBPKVKGXULK2J4HL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RZL3JIWJ4JSBPKVKGXULK2J4HL","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":"79979d3ac28536fff5c319ee2aa0aa3dee90c1fbe18d698efe98a0269375d74e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-14T12:40:25Z","title_canon_sha256":"3c2ccedc58fa8eca4a4ece12ef07ed88e5fed2d93b7cfba24ae69d02aa813a8b"},"schema_version":"1.0","source":{"id":"2405.08550","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.08550","created_at":"2026-07-05T08:19:02Z"},{"alias_kind":"arxiv_version","alias_value":"2405.08550v1","created_at":"2026-07-05T08:19:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.08550","created_at":"2026-07-05T08:19:02Z"},{"alias_kind":"pith_short_12","alias_value":"RZL3JIWJ4JSB","created_at":"2026-07-05T08:19:02Z"},{"alias_kind":"pith_short_16","alias_value":"RZL3JIWJ4JSBPKVK","created_at":"2026-07-05T08:19:02Z"},{"alias_kind":"pith_short_8","alias_value":"RZL3JIWJ","created_at":"2026-07-05T08:19:02Z"}],"graph_snapshots":[{"event_id":"sha256:0885480f3cb9928e1087da497e15cf38e9ff46dc02b267963438a5fc3cdcc6db","target":"graph","created_at":"2026-07-05T08:19:02Z","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/2405.08550/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In numerous artificial intelligence applications, the collaborative efforts of multiple intelligent agents are imperative for the successful attainment of target objectives. To enhance coordination among these agents, a distributed communication framework is often employed. However, information sharing among all agents proves to be resource-intensive, while the adoption of a manually pre-defined communication architecture imposes limitations on inter-agent communication, thereby constraining the potential for collaborative efforts. In this study, we introduce a novel approach wherein we concep","authors_text":"Dacheng Tao, Li Shen, Shengchao Hu, Ya Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-14T12:40:25Z","title":"Learning Multi-Agent Communication from Graph Modeling Perspective"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.08550","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":"sha256:0879e3180b8fae2eb9faa758bf13c24bbf7e91342908b3105ddedcc22dfe8e13","target":"record","created_at":"2026-07-05T08:19:02Z","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":"79979d3ac28536fff5c319ee2aa0aa3dee90c1fbe18d698efe98a0269375d74e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-14T12:40:25Z","title_canon_sha256":"3c2ccedc58fa8eca4a4ece12ef07ed88e5fed2d93b7cfba24ae69d02aa813a8b"},"schema_version":"1.0","source":{"id":"2405.08550","kind":"arxiv","version":1}},"canonical_sha256":"8e57b4a2c9e26417aaaa35e8b5693c3af4b7abeb00aa5f6a63a7b60e8fede2b5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8e57b4a2c9e26417aaaa35e8b5693c3af4b7abeb00aa5f6a63a7b60e8fede2b5","first_computed_at":"2026-07-05T08:19:02.062690Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:19:02.062690Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qvMZKHYArcoOZJHCKrW/FBMwJfBAdNVvExsBMd3RBZRHXZT2QatMS/6ldKJKuWi5BskUdTX20EYkcfvpg8vjDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:19:02.063164Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.08550","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0879e3180b8fae2eb9faa758bf13c24bbf7e91342908b3105ddedcc22dfe8e13","sha256:0885480f3cb9928e1087da497e15cf38e9ff46dc02b267963438a5fc3cdcc6db"],"state_sha256":"a6206df73feabf7a9d2ba748c16f594bd2d8177040087c2f5d76afb25dc07560"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YeTOjU29jnU6j5kh6z1rsv+yZcw2UlgV3ZxGv5afRPfmrK28kk1n/PTEaTRZV7WnfMMaiyGUJGEAa9lnxnjsCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T12:05:28.055738Z","bundle_sha256":"9ba12a1ebae271d2612acadccdf0070306cdcc5420a840b13983b238cf53805a"}}