{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:5ERSUNW5JN3EDY5SB37PABN3EM","short_pith_number":"pith:5ERSUNW5","canonical_record":{"source":{"id":"2407.20499","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-07-30T02:20:38Z","cross_cats_sorted":[],"title_canon_sha256":"3ca4192ba4820ea25e62cd9b25b9227015f4ba9b757604a0299ae72f5920e9d2","abstract_canon_sha256":"249115a58a158f62a5c811a8b97d9792d38aecbe7119299ee00b8a8a48f91db1"},"schema_version":"1.0"},"canonical_sha256":"e9232a36dd4b7641e3b20efef005bb23077911b1efa2c054194b74d059b5b462","source":{"kind":"arxiv","id":"2407.20499","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.20499","created_at":"2026-07-05T08:49:59Z"},{"alias_kind":"arxiv_version","alias_value":"2407.20499v1","created_at":"2026-07-05T08:49:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.20499","created_at":"2026-07-05T08:49:59Z"},{"alias_kind":"pith_short_12","alias_value":"5ERSUNW5JN3E","created_at":"2026-07-05T08:49:59Z"},{"alias_kind":"pith_short_16","alias_value":"5ERSUNW5JN3EDY5S","created_at":"2026-07-05T08:49:59Z"},{"alias_kind":"pith_short_8","alias_value":"5ERSUNW5","created_at":"2026-07-05T08:49:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:5ERSUNW5JN3EDY5SB37PABN3EM","target":"record","payload":{"canonical_record":{"source":{"id":"2407.20499","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-07-30T02:20:38Z","cross_cats_sorted":[],"title_canon_sha256":"3ca4192ba4820ea25e62cd9b25b9227015f4ba9b757604a0299ae72f5920e9d2","abstract_canon_sha256":"249115a58a158f62a5c811a8b97d9792d38aecbe7119299ee00b8a8a48f91db1"},"schema_version":"1.0"},"canonical_sha256":"e9232a36dd4b7641e3b20efef005bb23077911b1efa2c054194b74d059b5b462","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:49:59.080460Z","signature_b64":"ohzhtC9sb2LxIXQN8UxkitUDB8SG/UeVHK+kUK+V7RNjPwNpposm2/NZnYzgYfUaOgmJ1eGLvzAYH1gOwlg9Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e9232a36dd4b7641e3b20efef005bb23077911b1efa2c054194b74d059b5b462","last_reissued_at":"2026-07-05T08:49:59.080035Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:49:59.080035Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.20499","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":"2026-07-05T08:49:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pTiQu3duILpvNho/dgHaieA5HGUW+q3WtAVuhN5ez8y9fg1J0lq2sIzLSeF8ftFAmnNZX17ndUg4La4AORBjDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T09:37:33.437653Z"},"content_sha256":"d7dd6d13902ff29e16968e70c2c5ffa72cea2b36c23d0ede452a2b93344cf8d3","schema_version":"1.0","event_id":"sha256:d7dd6d13902ff29e16968e70c2c5ffa72cea2b36c23d0ede452a2b93344cf8d3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:5ERSUNW5JN3EDY5SB37PABN3EM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"BinBin Hu, Daixin Wang, Hongrui Liu, Qiyang Zhang, Yakun Wang, Yingcui Yan, Zhiqiang Zhang","submitted_at":"2024-07-30T02:20:38Z","abstract_excerpt":"Link prediction, as a fundamental task for graph neural networks (GNNs), has boasted significant progress in varied domains. Its success is typically influenced by the expressive power of node representation, but recent developments reveal the inferior performance of low-degree nodes owing to their sparse neighbor connections, known as the degree-based long-tailed problem. Will the degree-based long-tailed distribution similarly constrain the efficacy of GNNs on link prediction? Unexpectedly, our study reveals that only a mild correlation exists between node degree and predictive accuracy, and"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.20499","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/2407.20499/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":"2026-07-05T08:49:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fX8N/XG6s/95nbDhFlOx5cQaoirBCpSFLSIuYaS3OJ4UWPev2431/5tLyKnj+shdapiBgImorOuX6ZXBk1hNCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T09:37:33.438140Z"},"content_sha256":"03cd497cd9f65a96d70a9d92664b3d063cd12745812d93337b6eec7775ef8ef5","schema_version":"1.0","event_id":"sha256:03cd497cd9f65a96d70a9d92664b3d063cd12745812d93337b6eec7775ef8ef5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5ERSUNW5JN3EDY5SB37PABN3EM/bundle.json","state_url":"https://pith.science/pith/5ERSUNW5JN3EDY5SB37PABN3EM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5ERSUNW5JN3EDY5SB37PABN3EM/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":"2026-08-19T09:37:33Z","links":{"resolver":"https://pith.science/pith/5ERSUNW5JN3EDY5SB37PABN3EM","bundle":"https://pith.science/pith/5ERSUNW5JN3EDY5SB37PABN3EM/bundle.json","state":"https://pith.science/pith/5ERSUNW5JN3EDY5SB37PABN3EM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5ERSUNW5JN3EDY5SB37PABN3EM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5ERSUNW5JN3EDY5SB37PABN3EM","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":"249115a58a158f62a5c811a8b97d9792d38aecbe7119299ee00b8a8a48f91db1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-07-30T02:20:38Z","title_canon_sha256":"3ca4192ba4820ea25e62cd9b25b9227015f4ba9b757604a0299ae72f5920e9d2"},"schema_version":"1.0","source":{"id":"2407.20499","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.20499","created_at":"2026-07-05T08:49:59Z"},{"alias_kind":"arxiv_version","alias_value":"2407.20499v1","created_at":"2026-07-05T08:49:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.20499","created_at":"2026-07-05T08:49:59Z"},{"alias_kind":"pith_short_12","alias_value":"5ERSUNW5JN3E","created_at":"2026-07-05T08:49:59Z"},{"alias_kind":"pith_short_16","alias_value":"5ERSUNW5JN3EDY5S","created_at":"2026-07-05T08:49:59Z"},{"alias_kind":"pith_short_8","alias_value":"5ERSUNW5","created_at":"2026-07-05T08:49:59Z"}],"graph_snapshots":[{"event_id":"sha256:03cd497cd9f65a96d70a9d92664b3d063cd12745812d93337b6eec7775ef8ef5","target":"graph","created_at":"2026-07-05T08:49:59Z","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/2407.20499/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Link prediction, as a fundamental task for graph neural networks (GNNs), has boasted significant progress in varied domains. Its success is typically influenced by the expressive power of node representation, but recent developments reveal the inferior performance of low-degree nodes owing to their sparse neighbor connections, known as the degree-based long-tailed problem. Will the degree-based long-tailed distribution similarly constrain the efficacy of GNNs on link prediction? Unexpectedly, our study reveals that only a mild correlation exists between node degree and predictive accuracy, and","authors_text":"BinBin Hu, Daixin Wang, Hongrui Liu, Qiyang Zhang, Yakun Wang, Yingcui Yan, Zhiqiang Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-07-30T02:20:38Z","title":"Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.20499","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:d7dd6d13902ff29e16968e70c2c5ffa72cea2b36c23d0ede452a2b93344cf8d3","target":"record","created_at":"2026-07-05T08:49:59Z","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":"249115a58a158f62a5c811a8b97d9792d38aecbe7119299ee00b8a8a48f91db1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-07-30T02:20:38Z","title_canon_sha256":"3ca4192ba4820ea25e62cd9b25b9227015f4ba9b757604a0299ae72f5920e9d2"},"schema_version":"1.0","source":{"id":"2407.20499","kind":"arxiv","version":1}},"canonical_sha256":"e9232a36dd4b7641e3b20efef005bb23077911b1efa2c054194b74d059b5b462","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e9232a36dd4b7641e3b20efef005bb23077911b1efa2c054194b74d059b5b462","first_computed_at":"2026-07-05T08:49:59.080035Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:49:59.080035Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ohzhtC9sb2LxIXQN8UxkitUDB8SG/UeVHK+kUK+V7RNjPwNpposm2/NZnYzgYfUaOgmJ1eGLvzAYH1gOwlg9Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:49:59.080460Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.20499","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d7dd6d13902ff29e16968e70c2c5ffa72cea2b36c23d0ede452a2b93344cf8d3","sha256:03cd497cd9f65a96d70a9d92664b3d063cd12745812d93337b6eec7775ef8ef5"],"state_sha256":"0f9e72338adf42f5b6cc1de4e1f2fdb3589ca331167c87082b2dcadfed90f2b1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wHJWwpPKSlf5xFy44pZEnvShxN716QBKQNf4lJDzwU/EhDrhQysnwyWqwjEMf2v7lMlTTxg4+rtF4p9Ib8TXAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T09:37:33.440465Z","bundle_sha256":"7859c951c98533fa2f5abe965edbd0512182c2afbbc26e896068e29288e1683f"}}