{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:BRXQGCQ64HCPWCFN5NACLIPXMQ","short_pith_number":"pith:BRXQGCQ6","canonical_record":{"source":{"id":"2210.01974","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-05T00:47:42Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"77407a062ed1b5e58608099da51e79c1eafc860a03fb8591388bc46f0ca53779","abstract_canon_sha256":"aed103a5c3fc039dd6cc6a0f4a83ba6d40015196e80ba08a5833b54a42ea705d"},"schema_version":"1.0"},"canonical_sha256":"0c6f030a1ee1c4fb08adeb4025a1f764259e3ca7bb20e8f4b308127f437929d8","source":{"kind":"arxiv","id":"2210.01974","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.01974","created_at":"2026-07-05T05:03:41Z"},{"alias_kind":"arxiv_version","alias_value":"2210.01974v1","created_at":"2026-07-05T05:03:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.01974","created_at":"2026-07-05T05:03:41Z"},{"alias_kind":"pith_short_12","alias_value":"BRXQGCQ64HCP","created_at":"2026-07-05T05:03:41Z"},{"alias_kind":"pith_short_16","alias_value":"BRXQGCQ64HCPWCFN","created_at":"2026-07-05T05:03:41Z"},{"alias_kind":"pith_short_8","alias_value":"BRXQGCQ6","created_at":"2026-07-05T05:03:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:BRXQGCQ64HCPWCFN5NACLIPXMQ","target":"record","payload":{"canonical_record":{"source":{"id":"2210.01974","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-05T00:47:42Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"77407a062ed1b5e58608099da51e79c1eafc860a03fb8591388bc46f0ca53779","abstract_canon_sha256":"aed103a5c3fc039dd6cc6a0f4a83ba6d40015196e80ba08a5833b54a42ea705d"},"schema_version":"1.0"},"canonical_sha256":"0c6f030a1ee1c4fb08adeb4025a1f764259e3ca7bb20e8f4b308127f437929d8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:03:41.857321Z","signature_b64":"Ong3AqQhkPQlwiheamLAJd8y0SyadcMpSpanQSzUoCOsCdxn4nDS4hb/0aUusJ+D/TwnXuAfUl72MP8m7m/kCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0c6f030a1ee1c4fb08adeb4025a1f764259e3ca7bb20e8f4b308127f437929d8","last_reissued_at":"2026-07-05T05:03:41.856872Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:03:41.856872Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.01974","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":"2026-07-05T05:03:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8WgUo4a1L2tnH+4ntqZ1wpDFvvWQnVAu+sQsbQLNNmN65wsiEj5KqEByROtA97i8Mf4FlSTexT9fUA6RoXd1CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T15:22:50.525666Z"},"content_sha256":"5c89ed8e4d2e1173db1b803073f535e25ae446aa99e368db0a92b2ee0a54c306","schema_version":"1.0","event_id":"sha256:5c89ed8e4d2e1173db1b803073f535e25ae446aa99e368db0a92b2ee0a54c306"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:BRXQGCQ64HCPWCFN5NACLIPXMQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Prototype-Based Self-Explainable Graph Neural Network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Enyan Dai, Suhang Wang","submitted_at":"2022-10-05T00:47:42Z","abstract_excerpt":"Graph Neural Networks (GNNs) have shown great ability in modeling graph-structured data for various domains. However, GNNs are known as black-box models that lack interpretability. Without understanding their inner working, we cannot fully trust them, which largely limits their adoption in high-stake scenarios. Though some initial efforts have been taken to interpret the predictions of GNNs, they mainly focus on providing post-hoc explanations using an additional explainer, which could misrepresent the true inner working mechanism of the target GNN. The works on self-explainable GNNs are rathe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.01974","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/2210.01974/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":"2026-07-05T05:03:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wUjFXvd0JF8EVh69ViObqz1Y/hxXcB+JQJJ/Mhjy/6MR3qraI7RpZveFo2lgbtuqOCIQ7UMffcQJR2jl2M3ICA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T15:22:50.526214Z"},"content_sha256":"5c439a58b5e60c1f228d54dfd35ce2fd424c1b2c74995813f0d36cd219611e28","schema_version":"1.0","event_id":"sha256:5c439a58b5e60c1f228d54dfd35ce2fd424c1b2c74995813f0d36cd219611e28"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BRXQGCQ64HCPWCFN5NACLIPXMQ/bundle.json","state_url":"https://pith.science/pith/BRXQGCQ64HCPWCFN5NACLIPXMQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BRXQGCQ64HCPWCFN5NACLIPXMQ/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":"2026-08-20T15:22:50Z","links":{"resolver":"https://pith.science/pith/BRXQGCQ64HCPWCFN5NACLIPXMQ","bundle":"https://pith.science/pith/BRXQGCQ64HCPWCFN5NACLIPXMQ/bundle.json","state":"https://pith.science/pith/BRXQGCQ64HCPWCFN5NACLIPXMQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BRXQGCQ64HCPWCFN5NACLIPXMQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:BRXQGCQ64HCPWCFN5NACLIPXMQ","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":"aed103a5c3fc039dd6cc6a0f4a83ba6d40015196e80ba08a5833b54a42ea705d","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-05T00:47:42Z","title_canon_sha256":"77407a062ed1b5e58608099da51e79c1eafc860a03fb8591388bc46f0ca53779"},"schema_version":"1.0","source":{"id":"2210.01974","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.01974","created_at":"2026-07-05T05:03:41Z"},{"alias_kind":"arxiv_version","alias_value":"2210.01974v1","created_at":"2026-07-05T05:03:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.01974","created_at":"2026-07-05T05:03:41Z"},{"alias_kind":"pith_short_12","alias_value":"BRXQGCQ64HCP","created_at":"2026-07-05T05:03:41Z"},{"alias_kind":"pith_short_16","alias_value":"BRXQGCQ64HCPWCFN","created_at":"2026-07-05T05:03:41Z"},{"alias_kind":"pith_short_8","alias_value":"BRXQGCQ6","created_at":"2026-07-05T05:03:41Z"}],"graph_snapshots":[{"event_id":"sha256:5c439a58b5e60c1f228d54dfd35ce2fd424c1b2c74995813f0d36cd219611e28","target":"graph","created_at":"2026-07-05T05:03:41Z","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/2210.01974/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph Neural Networks (GNNs) have shown great ability in modeling graph-structured data for various domains. However, GNNs are known as black-box models that lack interpretability. Without understanding their inner working, we cannot fully trust them, which largely limits their adoption in high-stake scenarios. Though some initial efforts have been taken to interpret the predictions of GNNs, they mainly focus on providing post-hoc explanations using an additional explainer, which could misrepresent the true inner working mechanism of the target GNN. The works on self-explainable GNNs are rathe","authors_text":"Enyan Dai, Suhang Wang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-05T00:47:42Z","title":"Towards Prototype-Based Self-Explainable Graph Neural Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.01974","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":"sha256:5c89ed8e4d2e1173db1b803073f535e25ae446aa99e368db0a92b2ee0a54c306","target":"record","created_at":"2026-07-05T05:03:41Z","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":"aed103a5c3fc039dd6cc6a0f4a83ba6d40015196e80ba08a5833b54a42ea705d","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-05T00:47:42Z","title_canon_sha256":"77407a062ed1b5e58608099da51e79c1eafc860a03fb8591388bc46f0ca53779"},"schema_version":"1.0","source":{"id":"2210.01974","kind":"arxiv","version":1}},"canonical_sha256":"0c6f030a1ee1c4fb08adeb4025a1f764259e3ca7bb20e8f4b308127f437929d8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0c6f030a1ee1c4fb08adeb4025a1f764259e3ca7bb20e8f4b308127f437929d8","first_computed_at":"2026-07-05T05:03:41.856872Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:03:41.856872Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ong3AqQhkPQlwiheamLAJd8y0SyadcMpSpanQSzUoCOsCdxn4nDS4hb/0aUusJ+D/TwnXuAfUl72MP8m7m/kCg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:03:41.857321Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.01974","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5c89ed8e4d2e1173db1b803073f535e25ae446aa99e368db0a92b2ee0a54c306","sha256:5c439a58b5e60c1f228d54dfd35ce2fd424c1b2c74995813f0d36cd219611e28"],"state_sha256":"97a10b4376bc5e001dd0f611076ac4b1af35942c90969da8fb7ac6514492c8d9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"enb4SaE3ryTZAGxuPFVuGxTWX6e/ZRNGP0gKt92JruKgcrWUWO/1/JAKRbU/B0W3OTDBjjVDXv2tD6L/MONfAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T15:22:50.531433Z","bundle_sha256":"8fe35221620ad434452521707a5c142996174c4138f651533c9b6dbab55e228b"}}