{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:C36BWX2T23VDOFFB2SFTA7TVME","short_pith_number":"pith:C36BWX2T","canonical_record":{"source":{"id":"2402.13033","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-02-20T14:18:43Z","cross_cats_sorted":["cs.IR","cs.SI"],"title_canon_sha256":"cbdd2ec21062d6071f248eaf0c260edf665c5440d8f32c7757651001118893d0","abstract_canon_sha256":"e8bdd34701031cf522f3fcf6afb40cf2e7fcbcf213fd85d5d1189035119c6606"},"schema_version":"1.0"},"canonical_sha256":"16fc1b5f53d6ea3714a1d48b307e756113254cac2921cfe7c1532a459d2722ae","source":{"kind":"arxiv","id":"2402.13033","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.13033","created_at":"2026-07-05T08:54:47Z"},{"alias_kind":"arxiv_version","alias_value":"2402.13033v2","created_at":"2026-07-05T08:54:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.13033","created_at":"2026-07-05T08:54:47Z"},{"alias_kind":"pith_short_12","alias_value":"C36BWX2T23VD","created_at":"2026-07-05T08:54:47Z"},{"alias_kind":"pith_short_16","alias_value":"C36BWX2T23VDOFFB","created_at":"2026-07-05T08:54:47Z"},{"alias_kind":"pith_short_8","alias_value":"C36BWX2T","created_at":"2026-07-05T08:54:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:C36BWX2T23VDOFFB2SFTA7TVME","target":"record","payload":{"canonical_record":{"source":{"id":"2402.13033","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-02-20T14:18:43Z","cross_cats_sorted":["cs.IR","cs.SI"],"title_canon_sha256":"cbdd2ec21062d6071f248eaf0c260edf665c5440d8f32c7757651001118893d0","abstract_canon_sha256":"e8bdd34701031cf522f3fcf6afb40cf2e7fcbcf213fd85d5d1189035119c6606"},"schema_version":"1.0"},"canonical_sha256":"16fc1b5f53d6ea3714a1d48b307e756113254cac2921cfe7c1532a459d2722ae","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:54:47.520620Z","signature_b64":"GqqW7PB6CdMimrtPhTB6hds/6BoD1BmpnCF9Xq4Tjrz/7OpPCuVlLae8IZ6nfesKQ7iMS+HWySySHOBCaFOUDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"16fc1b5f53d6ea3714a1d48b307e756113254cac2921cfe7c1532a459d2722ae","last_reissued_at":"2026-07-05T08:54:47.520124Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:54:47.520124Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.13033","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":"2026-07-05T08:54:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uHm2aop/Fi+bucdgejYAR8o45f+1VcuoJajcz7AqD4GRcW6Y9xk4yW5gDPj222iXkJcg3nHoeHziZKZejFuSDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T11:53:19.718778Z"},"content_sha256":"d4dfa1d1cec761e77ce4cf85222377be7b36fa85a8ffa0e802c827df1fc7315a","schema_version":"1.0","event_id":"sha256:d4dfa1d1cec761e77ce4cf85222377be7b36fa85a8ffa0e802c827df1fc7315a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:C36BWX2T23VDOFFB2SFTA7TVME","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancing Node Representations for Real-World Complex Networks with Topological Augmentation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.IR","cs.SI"],"primary_cat":"cs.LG","authors_text":"Guy-Bart Stan, Mingzhu Shen, Pietro Li\\`o, Xiangyu Zhao, Yiren Zhao, Zehui Li","submitted_at":"2024-02-20T14:18:43Z","abstract_excerpt":"Graph augmentation methods play a crucial role in improving the performance and enhancing generalisation capabilities in Graph Neural Networks (GNNs). Existing graph augmentation methods mainly perturb the graph structures, and are usually limited to pairwise node relations. These methods cannot fully address the complexities of real-world large-scale networks, which often involve higher-order node relations beyond only being pairwise. Meanwhile, real-world graph datasets are predominantly modelled as simple graphs, due to the scarcity of data that can be used to form higher-order edges. There"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.13033","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/2402.13033/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":"2026-07-05T08:54:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K6tUT21n3XqEbNINaEstioqTtTmLZwghL2XBBw8mMe25IV7fN2BhpPU3IWlznroZx7v9JqHsyNQ59ArdD4seDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T11:53:19.719150Z"},"content_sha256":"c659b9cb3cf6b0e309c1eb645b1df54a308d881f9020b97c7dc9bba281393a47","schema_version":"1.0","event_id":"sha256:c659b9cb3cf6b0e309c1eb645b1df54a308d881f9020b97c7dc9bba281393a47"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/C36BWX2T23VDOFFB2SFTA7TVME/bundle.json","state_url":"https://pith.science/pith/C36BWX2T23VDOFFB2SFTA7TVME/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/C36BWX2T23VDOFFB2SFTA7TVME/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":"2026-08-23T11:53:19Z","links":{"resolver":"https://pith.science/pith/C36BWX2T23VDOFFB2SFTA7TVME","bundle":"https://pith.science/pith/C36BWX2T23VDOFFB2SFTA7TVME/bundle.json","state":"https://pith.science/pith/C36BWX2T23VDOFFB2SFTA7TVME/state.json","well_known_bundle":"https://pith.science/.well-known/pith/C36BWX2T23VDOFFB2SFTA7TVME/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:C36BWX2T23VDOFFB2SFTA7TVME","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":"e8bdd34701031cf522f3fcf6afb40cf2e7fcbcf213fd85d5d1189035119c6606","cross_cats_sorted":["cs.IR","cs.SI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-02-20T14:18:43Z","title_canon_sha256":"cbdd2ec21062d6071f248eaf0c260edf665c5440d8f32c7757651001118893d0"},"schema_version":"1.0","source":{"id":"2402.13033","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.13033","created_at":"2026-07-05T08:54:47Z"},{"alias_kind":"arxiv_version","alias_value":"2402.13033v2","created_at":"2026-07-05T08:54:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.13033","created_at":"2026-07-05T08:54:47Z"},{"alias_kind":"pith_short_12","alias_value":"C36BWX2T23VD","created_at":"2026-07-05T08:54:47Z"},{"alias_kind":"pith_short_16","alias_value":"C36BWX2T23VDOFFB","created_at":"2026-07-05T08:54:47Z"},{"alias_kind":"pith_short_8","alias_value":"C36BWX2T","created_at":"2026-07-05T08:54:47Z"}],"graph_snapshots":[{"event_id":"sha256:c659b9cb3cf6b0e309c1eb645b1df54a308d881f9020b97c7dc9bba281393a47","target":"graph","created_at":"2026-07-05T08:54:47Z","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/2402.13033/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph augmentation methods play a crucial role in improving the performance and enhancing generalisation capabilities in Graph Neural Networks (GNNs). Existing graph augmentation methods mainly perturb the graph structures, and are usually limited to pairwise node relations. These methods cannot fully address the complexities of real-world large-scale networks, which often involve higher-order node relations beyond only being pairwise. Meanwhile, real-world graph datasets are predominantly modelled as simple graphs, due to the scarcity of data that can be used to form higher-order edges. There","authors_text":"Guy-Bart Stan, Mingzhu Shen, Pietro Li\\`o, Xiangyu Zhao, Yiren Zhao, Zehui Li","cross_cats":["cs.IR","cs.SI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-02-20T14:18:43Z","title":"Enhancing Node Representations for Real-World Complex Networks with Topological Augmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.13033","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:d4dfa1d1cec761e77ce4cf85222377be7b36fa85a8ffa0e802c827df1fc7315a","target":"record","created_at":"2026-07-05T08:54:47Z","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":"e8bdd34701031cf522f3fcf6afb40cf2e7fcbcf213fd85d5d1189035119c6606","cross_cats_sorted":["cs.IR","cs.SI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-02-20T14:18:43Z","title_canon_sha256":"cbdd2ec21062d6071f248eaf0c260edf665c5440d8f32c7757651001118893d0"},"schema_version":"1.0","source":{"id":"2402.13033","kind":"arxiv","version":2}},"canonical_sha256":"16fc1b5f53d6ea3714a1d48b307e756113254cac2921cfe7c1532a459d2722ae","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"16fc1b5f53d6ea3714a1d48b307e756113254cac2921cfe7c1532a459d2722ae","first_computed_at":"2026-07-05T08:54:47.520124Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:54:47.520124Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GqqW7PB6CdMimrtPhTB6hds/6BoD1BmpnCF9Xq4Tjrz/7OpPCuVlLae8IZ6nfesKQ7iMS+HWySySHOBCaFOUDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:54:47.520620Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.13033","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d4dfa1d1cec761e77ce4cf85222377be7b36fa85a8ffa0e802c827df1fc7315a","sha256:c659b9cb3cf6b0e309c1eb645b1df54a308d881f9020b97c7dc9bba281393a47"],"state_sha256":"8a05a302e17f025c334f3665d6f8132de2b5ffc364ac74e35fc1c8c27e098133"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S+3jh6rQ0+2wp0xWDiNjmtEdwiPcEsQDeuGOYvwSE1hhyn8KAn5f3Fi5LD+rt8tvq30QF0Fn59JcIb/ASElkDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T11:53:19.722373Z","bundle_sha256":"e62f412f4b1e47d1fecbefe11db7974aa1b2dd75cb47f177ce3c4cda17045c65"}}