{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:REK255X3LUHU3GCP4ZXT7ZZ3ZU","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":"b2e082237d78ce7d12191eb34abada3ef6d393eeac2e9a4fbfad5223680d7775","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-26T04:56:31Z","title_canon_sha256":"149232c4f601dfb9967076db13c4572fedd81e739587f6151cc03bd5bd3613b8"},"schema_version":"1.0","source":{"id":"2310.17678","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.17678","created_at":"2026-07-05T07:05:50Z"},{"alias_kind":"arxiv_version","alias_value":"2310.17678v1","created_at":"2026-07-05T07:05:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.17678","created_at":"2026-07-05T07:05:50Z"},{"alias_kind":"pith_short_12","alias_value":"REK255X3LUHU","created_at":"2026-07-05T07:05:50Z"},{"alias_kind":"pith_short_16","alias_value":"REK255X3LUHU3GCP","created_at":"2026-07-05T07:05:50Z"},{"alias_kind":"pith_short_8","alias_value":"REK255X3","created_at":"2026-07-05T07:05:50Z"}],"graph_snapshots":[{"event_id":"sha256:ea9e5f2a214d270644bd1fe114ff297f3d36677d4766632b12a9c01614d61a7b","target":"graph","created_at":"2026-07-05T07:05:50Z","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/2310.17678/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Spatio-temporal prediction is crucial in numerous real-world applications, including traffic forecasting and crime prediction, which aim to improve public transportation and safety management. Many state-of-the-art models demonstrate the strong capability of spatio-temporal graph neural networks (STGNN) to capture complex spatio-temporal correlations. However, despite their effectiveness, existing approaches do not adequately address several key challenges. Data quality issues, such as data scarcity and sparsity, lead to data noise and a lack of supervised signals, which significantly limit th","authors_text":"Chao Huang, Jiabin Tang, Jie Hu, Lianghao Xia","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-26T04:56:31Z","title":"Spatio-Temporal Meta Contrastive Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.17678","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:e7a0aa51cf816e426089e6744eaecbd1784e7b5ea5dc2f8486a253ce84df90c7","target":"record","created_at":"2026-07-05T07:05:50Z","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":"b2e082237d78ce7d12191eb34abada3ef6d393eeac2e9a4fbfad5223680d7775","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-26T04:56:31Z","title_canon_sha256":"149232c4f601dfb9967076db13c4572fedd81e739587f6151cc03bd5bd3613b8"},"schema_version":"1.0","source":{"id":"2310.17678","kind":"arxiv","version":1}},"canonical_sha256":"8915aef6fb5d0f4d984fe66f3fe73bcd2d9860822b3f610624fbd50a3a510daf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8915aef6fb5d0f4d984fe66f3fe73bcd2d9860822b3f610624fbd50a3a510daf","first_computed_at":"2026-07-05T07:05:50.664854Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:05:50.664854Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FhZN5CNF9Mep7THa2aMccLutUk4NTnJTdgbRHYgu8Rx5m2yRgOZLzrbXbxi0UnmVBaIXjoZbpEgHUYFy6Zt6Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:05:50.665337Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.17678","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e7a0aa51cf816e426089e6744eaecbd1784e7b5ea5dc2f8486a253ce84df90c7","sha256:ea9e5f2a214d270644bd1fe114ff297f3d36677d4766632b12a9c01614d61a7b"],"state_sha256":"d6ebbc73305ed2b67b4915a1643424310dc50386fb29c276e36a947c059b5503"}