{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:DZOY24FWIQ5UO2Z3UOAFB2BAKG","short_pith_number":"pith:DZOY24FW","canonical_record":{"source":{"id":"2506.14122","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-17T02:34:09Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"bf82fdf2504438f42fdf7eff3085fbef600177f1bf2de40be2c87cbbdf172eb8","abstract_canon_sha256":"fa91738040fc4a1b0a74d9668537ef459c524228d08df0c16695f6818c1ba547"},"schema_version":"1.0"},"canonical_sha256":"1e5d8d70b6443b476b3ba38050e82051991ef49a9a537715a91c79588034da6d","source":{"kind":"arxiv","id":"2506.14122","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.14122","created_at":"2026-07-05T11:22:49Z"},{"alias_kind":"arxiv_version","alias_value":"2506.14122v1","created_at":"2026-07-05T11:22:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.14122","created_at":"2026-07-05T11:22:49Z"},{"alias_kind":"pith_short_12","alias_value":"DZOY24FWIQ5U","created_at":"2026-07-05T11:22:49Z"},{"alias_kind":"pith_short_16","alias_value":"DZOY24FWIQ5UO2Z3","created_at":"2026-07-05T11:22:49Z"},{"alias_kind":"pith_short_8","alias_value":"DZOY24FW","created_at":"2026-07-05T11:22:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:DZOY24FWIQ5UO2Z3UOAFB2BAKG","target":"record","payload":{"canonical_record":{"source":{"id":"2506.14122","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-17T02:34:09Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"bf82fdf2504438f42fdf7eff3085fbef600177f1bf2de40be2c87cbbdf172eb8","abstract_canon_sha256":"fa91738040fc4a1b0a74d9668537ef459c524228d08df0c16695f6818c1ba547"},"schema_version":"1.0"},"canonical_sha256":"1e5d8d70b6443b476b3ba38050e82051991ef49a9a537715a91c79588034da6d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:22:49.521672Z","signature_b64":"chFFFIq1dLla+Oe3NwcAvgDiwVyUDao6eVJB21wady9q6mhtPTBhCqM801QPV70wo0VTdsIkR3iFk3hyYEWwCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1e5d8d70b6443b476b3ba38050e82051991ef49a9a537715a91c79588034da6d","last_reissued_at":"2026-07-05T11:22:49.521233Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:22:49.521233Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.14122","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":"2026-07-05T11:22:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2n3gDphfMO+lSO64Ycej0b+A1Z+yt4b2xxGRkqWepL7Q69DcEuOIHHAfVULxtGg/uiib1LPFoNMaoqck4IIFDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T12:39:11.204234Z"},"content_sha256":"64a5f656794418a51d11be1555ee7bbf4d80022c0b3697f73adb0f7db43b6215","schema_version":"1.0","event_id":"sha256:64a5f656794418a51d11be1555ee7bbf4d80022c0b3697f73adb0f7db43b6215"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:DZOY24FWIQ5UO2Z3UOAFB2BAKG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CLGNN: A Contrastive Learning-based GNN Model for Betweenness Centrality Prediction on Temporal Graphs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Bin Cao, Jing Fan, Renbo Zhang, Tianming Zhang, Yunjun Gao, Zhengyi Yang","submitted_at":"2025-06-17T02:34:09Z","abstract_excerpt":"Temporal Betweenness Centrality (TBC) measures how often a node appears on optimal temporal paths, reflecting its importance in temporal networks. However, exact computation is highly expensive, and real-world TBC distributions are extremely imbalanced. The severe imbalance leads learning-based models to overfit to zero-centrality nodes, resulting in inaccurate TBC predictions and failure to identify truly central nodes. Existing graph neural network (GNN) methods either fail to handle such imbalance or ignore temporal dependencies altogether. To address these issues, we propose a scalable and"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.14122","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/2506.14122/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":"2026-07-05T11:22:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xj7DlRtrGm5iekb6smkoCo4ImpY88oAZ+omcUak758eA3mFI5UdYjl/XcjRZeOxUXMpxHL84cD4bgBAizVDwCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T12:39:11.204793Z"},"content_sha256":"7e1945ea189f001b5c8a928d853a116b04da5e59f30fcaedd96b0a8813817c05","schema_version":"1.0","event_id":"sha256:7e1945ea189f001b5c8a928d853a116b04da5e59f30fcaedd96b0a8813817c05"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DZOY24FWIQ5UO2Z3UOAFB2BAKG/bundle.json","state_url":"https://pith.science/pith/DZOY24FWIQ5UO2Z3UOAFB2BAKG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DZOY24FWIQ5UO2Z3UOAFB2BAKG/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":"2026-08-08T12:39:11Z","links":{"resolver":"https://pith.science/pith/DZOY24FWIQ5UO2Z3UOAFB2BAKG","bundle":"https://pith.science/pith/DZOY24FWIQ5UO2Z3UOAFB2BAKG/bundle.json","state":"https://pith.science/pith/DZOY24FWIQ5UO2Z3UOAFB2BAKG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DZOY24FWIQ5UO2Z3UOAFB2BAKG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DZOY24FWIQ5UO2Z3UOAFB2BAKG","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":"fa91738040fc4a1b0a74d9668537ef459c524228d08df0c16695f6818c1ba547","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-17T02:34:09Z","title_canon_sha256":"bf82fdf2504438f42fdf7eff3085fbef600177f1bf2de40be2c87cbbdf172eb8"},"schema_version":"1.0","source":{"id":"2506.14122","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.14122","created_at":"2026-07-05T11:22:49Z"},{"alias_kind":"arxiv_version","alias_value":"2506.14122v1","created_at":"2026-07-05T11:22:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.14122","created_at":"2026-07-05T11:22:49Z"},{"alias_kind":"pith_short_12","alias_value":"DZOY24FWIQ5U","created_at":"2026-07-05T11:22:49Z"},{"alias_kind":"pith_short_16","alias_value":"DZOY24FWIQ5UO2Z3","created_at":"2026-07-05T11:22:49Z"},{"alias_kind":"pith_short_8","alias_value":"DZOY24FW","created_at":"2026-07-05T11:22:49Z"}],"graph_snapshots":[{"event_id":"sha256:7e1945ea189f001b5c8a928d853a116b04da5e59f30fcaedd96b0a8813817c05","target":"graph","created_at":"2026-07-05T11:22:49Z","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/2506.14122/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Temporal Betweenness Centrality (TBC) measures how often a node appears on optimal temporal paths, reflecting its importance in temporal networks. However, exact computation is highly expensive, and real-world TBC distributions are extremely imbalanced. The severe imbalance leads learning-based models to overfit to zero-centrality nodes, resulting in inaccurate TBC predictions and failure to identify truly central nodes. Existing graph neural network (GNN) methods either fail to handle such imbalance or ignore temporal dependencies altogether. To address these issues, we propose a scalable and","authors_text":"Bin Cao, Jing Fan, Renbo Zhang, Tianming Zhang, Yunjun Gao, Zhengyi Yang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-17T02:34:09Z","title":"CLGNN: A Contrastive Learning-based GNN Model for Betweenness Centrality Prediction on Temporal Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.14122","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":"sha256:64a5f656794418a51d11be1555ee7bbf4d80022c0b3697f73adb0f7db43b6215","target":"record","created_at":"2026-07-05T11:22:49Z","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":"fa91738040fc4a1b0a74d9668537ef459c524228d08df0c16695f6818c1ba547","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-17T02:34:09Z","title_canon_sha256":"bf82fdf2504438f42fdf7eff3085fbef600177f1bf2de40be2c87cbbdf172eb8"},"schema_version":"1.0","source":{"id":"2506.14122","kind":"arxiv","version":1}},"canonical_sha256":"1e5d8d70b6443b476b3ba38050e82051991ef49a9a537715a91c79588034da6d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1e5d8d70b6443b476b3ba38050e82051991ef49a9a537715a91c79588034da6d","first_computed_at":"2026-07-05T11:22:49.521233Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:22:49.521233Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"chFFFIq1dLla+Oe3NwcAvgDiwVyUDao6eVJB21wady9q6mhtPTBhCqM801QPV70wo0VTdsIkR3iFk3hyYEWwCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:22:49.521672Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.14122","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:64a5f656794418a51d11be1555ee7bbf4d80022c0b3697f73adb0f7db43b6215","sha256:7e1945ea189f001b5c8a928d853a116b04da5e59f30fcaedd96b0a8813817c05"],"state_sha256":"a655dab3bec82cd070ead6f1767be2ee55c95201aa6b11ecd113477ec060dead"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QQxyd4Sr1hiqWC9KCaaDS+O1uX3/aUvZzRMONiefCxWG4EUmnoNANNNsodOTf9tSc8GPeo7PFpDIZkgYsikPCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T12:39:11.208318Z","bundle_sha256":"56a31ff886af369272ec0af6639d64b3a5cc9ee68c0e13e0e97391bd9feccf61"}}