{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:53MO3O5X6HUYSNRZNFOM6IZT37","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":"b2ca0d53d417c4ea737d59d2915dbd72a242567cfdcda5c450669a4fcf484719","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-02T09:18:43Z","title_canon_sha256":"96ef56e3e0ced273a2678d3dc73ccac654d8f40177e67da1b1284d2a0252b3dc"},"schema_version":"1.0","source":{"id":"2504.01531","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.01531","created_at":"2026-06-03T01:05:43Z"},{"alias_kind":"arxiv_version","alias_value":"2504.01531v4","created_at":"2026-06-03T01:05:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.01531","created_at":"2026-06-03T01:05:43Z"},{"alias_kind":"pith_short_12","alias_value":"53MO3O5X6HUY","created_at":"2026-06-03T01:05:43Z"},{"alias_kind":"pith_short_16","alias_value":"53MO3O5X6HUYSNRZ","created_at":"2026-06-03T01:05:43Z"},{"alias_kind":"pith_short_8","alias_value":"53MO3O5X","created_at":"2026-06-03T01:05:43Z"}],"graph_snapshots":[{"event_id":"sha256:eae11076f5feccf145918f25b0e9352c6074d86bf2284655c2c27f7c84aacc06","target":"graph","created_at":"2026-06-03T01:05:43Z","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/2504.01531/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate predictions of spatio-temporal systems are crucial for tasks such as system management, control, and crisis prevention. However, the inherent time variance of many spatio-temporal systems poses challenges to achieving accurate predictions whenever stationarity is not granted. In order to address non-stationarity, we propose a Distribution and Relation Adaptive Network (DRAN) capable of dynamically adapting to relation and distribution changes over time. While temporal normalization and de-normalization are frequently used techniques to adapt to distribution shifts, this operation is n","authors_text":"Cesare Alippi, Kexuan Zhang, Luolin Xiong, Xiaobei Zou, Yang Tang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-02T09:18:43Z","title":"DRAN: A Distribution and Relation Adaptive Network for Spatio-temporal Forecasting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.01531","kind":"arxiv","version":4},"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:e0f40bf3bf984073f88f8fce580f36d1ac7d45d3be5ae816d88793dfe6c0793e","target":"record","created_at":"2026-06-03T01:05:43Z","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":"b2ca0d53d417c4ea737d59d2915dbd72a242567cfdcda5c450669a4fcf484719","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-04-02T09:18:43Z","title_canon_sha256":"96ef56e3e0ced273a2678d3dc73ccac654d8f40177e67da1b1284d2a0252b3dc"},"schema_version":"1.0","source":{"id":"2504.01531","kind":"arxiv","version":4}},"canonical_sha256":"eed8edbbb7f1e9893639695ccf2333dfd3487e7bb64fc1e85264541f978b174b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eed8edbbb7f1e9893639695ccf2333dfd3487e7bb64fc1e85264541f978b174b","first_computed_at":"2026-06-03T01:05:43.720605Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-03T01:05:43.720605Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"27GY4hf8jHNJ8ynPo6oI/ZFrXeC0LcyjYHNdaPeNeylmWEUEInhAE1K7M6U95YBlpHcnX/Nzvr5mbP1zin83CA==","signature_status":"signed_v1","signed_at":"2026-06-03T01:05:43.721024Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.01531","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e0f40bf3bf984073f88f8fce580f36d1ac7d45d3be5ae816d88793dfe6c0793e","sha256:eae11076f5feccf145918f25b0e9352c6074d86bf2284655c2c27f7c84aacc06"],"state_sha256":"df16d85b6158a28053a654cab61e56f7f2bccd734c7ca05c890972f6996e01af"}