{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:MHEDUXLTO5OZUCT24CZAQ7JKK2","short_pith_number":"pith:MHEDUXLT","canonical_record":{"source":{"id":"2505.14005","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-20T07:01:47Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"1bb47aa82073919181b19c8d1329b5304596b0b9ab15375efadf58a79d396889","abstract_canon_sha256":"5046c79bf7e3245f005ca6cc95a511561604b651e2ebac94659d34d064b5deeb"},"schema_version":"1.0"},"canonical_sha256":"61c83a5d73775d9a0a7ae0b2087d2a56a4f108c984c0437257ccfc068710acbc","source":{"kind":"arxiv","id":"2505.14005","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.14005","created_at":"2026-07-05T11:08:21Z"},{"alias_kind":"arxiv_version","alias_value":"2505.14005v2","created_at":"2026-07-05T11:08:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.14005","created_at":"2026-07-05T11:08:21Z"},{"alias_kind":"pith_short_12","alias_value":"MHEDUXLTO5OZ","created_at":"2026-07-05T11:08:21Z"},{"alias_kind":"pith_short_16","alias_value":"MHEDUXLTO5OZUCT2","created_at":"2026-07-05T11:08:21Z"},{"alias_kind":"pith_short_8","alias_value":"MHEDUXLT","created_at":"2026-07-05T11:08:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:MHEDUXLTO5OZUCT24CZAQ7JKK2","target":"record","payload":{"canonical_record":{"source":{"id":"2505.14005","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-20T07:01:47Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"1bb47aa82073919181b19c8d1329b5304596b0b9ab15375efadf58a79d396889","abstract_canon_sha256":"5046c79bf7e3245f005ca6cc95a511561604b651e2ebac94659d34d064b5deeb"},"schema_version":"1.0"},"canonical_sha256":"61c83a5d73775d9a0a7ae0b2087d2a56a4f108c984c0437257ccfc068710acbc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:08:21.090893Z","signature_b64":"0feharWYtyrBAWTEPqua1GkaW/2DDDQJcIcZIrXxT//UprMSA1EEr0Ik0Q0tyqhR8+N7Xa7re+ZWHgG58wmFDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"61c83a5d73775d9a0a7ae0b2087d2a56a4f108c984c0437257ccfc068710acbc","last_reissued_at":"2026-07-05T11:08:21.090407Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:08:21.090407Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.14005","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":"2026-07-05T11:08:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"akBSiVDXcI9+R+LDUAOXX94iYWKsPJ6+KSQAndEr3bSJppruOV8SjstTWhRWnULaCduyC1t4Z7Nq8KGnKyaLBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T18:47:58.551117Z"},"content_sha256":"b21a690b19d3f4431f7bd203b37e7bca8233a400b92803efd27ba2368ba44522","schema_version":"1.0","event_id":"sha256:b21a690b19d3f4431f7bd203b37e7bca8233a400b92803efd27ba2368ba44522"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:MHEDUXLTO5OZUCT24CZAQ7JKK2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Guanfeng Liu, Han Zhang, Huaxiong Wang, Kwok-Yan Lam, Pengfei Ding, Yan Wang","submitted_at":"2025-05-20T07:01:47Z","abstract_excerpt":"To enhance the reliability and credibility of graph neural networks (GNNs) and improve the transparency of their decision logic, a new field of explainability of GNNs (XGNN) has emerged. However, two major limitations severely degrade the performance and hinder the generalizability of existing XGNN methods: they (a) fail to capture the complete decision logic of GNNs across diverse distributions in the entire dataset's sample space, and (b) impose strict prerequisites on edge properties and GNN internal accessibility. To address these limitations, we propose OPEN, a novel c\\textbf{O}mprehensiv"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.14005","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/2505.14005/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":"2026-07-05T11:08:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zQKsOgY4bF4FeaZaNjzhUsehfh7OcZ+hzTqbNLvr6IJtnWhqqmFR4EQtOoMIK9L3HbZKX9rb2srP2Bb8IxnnDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T18:47:58.551628Z"},"content_sha256":"dc5e9c88b26b2fc8e79d5b1ac6862ed7fe4abc75b45c8a2a59571d82cc047917","schema_version":"1.0","event_id":"sha256:dc5e9c88b26b2fc8e79d5b1ac6862ed7fe4abc75b45c8a2a59571d82cc047917"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MHEDUXLTO5OZUCT24CZAQ7JKK2/bundle.json","state_url":"https://pith.science/pith/MHEDUXLTO5OZUCT24CZAQ7JKK2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MHEDUXLTO5OZUCT24CZAQ7JKK2/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":"2026-08-12T18:47:58Z","links":{"resolver":"https://pith.science/pith/MHEDUXLTO5OZUCT24CZAQ7JKK2","bundle":"https://pith.science/pith/MHEDUXLTO5OZUCT24CZAQ7JKK2/bundle.json","state":"https://pith.science/pith/MHEDUXLTO5OZUCT24CZAQ7JKK2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MHEDUXLTO5OZUCT24CZAQ7JKK2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:MHEDUXLTO5OZUCT24CZAQ7JKK2","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":"5046c79bf7e3245f005ca6cc95a511561604b651e2ebac94659d34d064b5deeb","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-20T07:01:47Z","title_canon_sha256":"1bb47aa82073919181b19c8d1329b5304596b0b9ab15375efadf58a79d396889"},"schema_version":"1.0","source":{"id":"2505.14005","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.14005","created_at":"2026-07-05T11:08:21Z"},{"alias_kind":"arxiv_version","alias_value":"2505.14005v2","created_at":"2026-07-05T11:08:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.14005","created_at":"2026-07-05T11:08:21Z"},{"alias_kind":"pith_short_12","alias_value":"MHEDUXLTO5OZ","created_at":"2026-07-05T11:08:21Z"},{"alias_kind":"pith_short_16","alias_value":"MHEDUXLTO5OZUCT2","created_at":"2026-07-05T11:08:21Z"},{"alias_kind":"pith_short_8","alias_value":"MHEDUXLT","created_at":"2026-07-05T11:08:21Z"}],"graph_snapshots":[{"event_id":"sha256:dc5e9c88b26b2fc8e79d5b1ac6862ed7fe4abc75b45c8a2a59571d82cc047917","target":"graph","created_at":"2026-07-05T11:08:21Z","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/2505.14005/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To enhance the reliability and credibility of graph neural networks (GNNs) and improve the transparency of their decision logic, a new field of explainability of GNNs (XGNN) has emerged. However, two major limitations severely degrade the performance and hinder the generalizability of existing XGNN methods: they (a) fail to capture the complete decision logic of GNNs across diverse distributions in the entire dataset's sample space, and (b) impose strict prerequisites on edge properties and GNN internal accessibility. To address these limitations, we propose OPEN, a novel c\\textbf{O}mprehensiv","authors_text":"Guanfeng Liu, Han Zhang, Huaxiong Wang, Kwok-Yan Lam, Pengfei Ding, Yan Wang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-20T07:01:47Z","title":"Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.14005","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:b21a690b19d3f4431f7bd203b37e7bca8233a400b92803efd27ba2368ba44522","target":"record","created_at":"2026-07-05T11:08:21Z","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":"5046c79bf7e3245f005ca6cc95a511561604b651e2ebac94659d34d064b5deeb","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-20T07:01:47Z","title_canon_sha256":"1bb47aa82073919181b19c8d1329b5304596b0b9ab15375efadf58a79d396889"},"schema_version":"1.0","source":{"id":"2505.14005","kind":"arxiv","version":2}},"canonical_sha256":"61c83a5d73775d9a0a7ae0b2087d2a56a4f108c984c0437257ccfc068710acbc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"61c83a5d73775d9a0a7ae0b2087d2a56a4f108c984c0437257ccfc068710acbc","first_computed_at":"2026-07-05T11:08:21.090407Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:08:21.090407Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0feharWYtyrBAWTEPqua1GkaW/2DDDQJcIcZIrXxT//UprMSA1EEr0Ik0Q0tyqhR8+N7Xa7re+ZWHgG58wmFDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:08:21.090893Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.14005","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b21a690b19d3f4431f7bd203b37e7bca8233a400b92803efd27ba2368ba44522","sha256:dc5e9c88b26b2fc8e79d5b1ac6862ed7fe4abc75b45c8a2a59571d82cc047917"],"state_sha256":"69ec381d286783122461a0efe694ca12a93e4736a2bb2257f484fdfbd2905169"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fUfaL0t6nvXzVoy1d9hWBygFuLR8a+zyiDk0hYoxe49BE3WCW5ClwI0RcjTY5UvArlW5Vz1U/5zbrbqcmcwgCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T18:47:58.555910Z","bundle_sha256":"d13791199cf0b3124c10682b2062716b80a73e32041a3f9685b5245d7eb4d015"}}