{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MM2JDNGJFAHG4INABSVATUQN7F","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":"6272548982373b330144748590379049388d8046d6d48f8d962ac7e1f2e983ef","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-04T15:33:58Z","title_canon_sha256":"3e73ebe0988cd343ebd2bbfc6c98761269c4c792cce3078c960b428999699e07"},"schema_version":"1.0","source":{"id":"2402.05956","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.05956","created_at":"2026-07-05T09:06:57Z"},{"alias_kind":"arxiv_version","alias_value":"2402.05956v5","created_at":"2026-07-05T09:06:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.05956","created_at":"2026-07-05T09:06:57Z"},{"alias_kind":"pith_short_12","alias_value":"MM2JDNGJFAHG","created_at":"2026-07-05T09:06:57Z"},{"alias_kind":"pith_short_16","alias_value":"MM2JDNGJFAHG4INA","created_at":"2026-07-05T09:06:57Z"},{"alias_kind":"pith_short_8","alias_value":"MM2JDNGJ","created_at":"2026-07-05T09:06:57Z"}],"graph_snapshots":[{"event_id":"sha256:a143997d6d2c887c303e7c7c8fb7b68f74cd1c1a3784e855ae0680678a20b34c","target":"graph","created_at":"2026-07-05T09:06:57Z","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/2402.05956/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Transformers for time series forecasting mainly model time series from limited or fixed scales, making it challenging to capture different characteristics spanning various scales. We propose Pathformer, a multi-scale Transformer with adaptive pathways. It integrates both temporal resolution and temporal distance for multi-scale modeling. Multi-scale division divides the time series into different temporal resolutions using patches of various sizes. Based on the division of each scale, dual attention is performed over these patches to capture global correlations and local details as temporal de","authors_text":"Bin Yang, Chenjuan Guo, Peng Chen, Qingsong Wen, Yang Shu, Yihang Wang, Yingying Zhang, Yunyao Cheng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-04T15:33:58Z","title":"Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.05956","kind":"arxiv","version":5},"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:ab42ed8c143478178ed82e9f89f5ed394d931a4d8810d68bde694804bc788ce1","target":"record","created_at":"2026-07-05T09:06:57Z","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":"6272548982373b330144748590379049388d8046d6d48f8d962ac7e1f2e983ef","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-04T15:33:58Z","title_canon_sha256":"3e73ebe0988cd343ebd2bbfc6c98761269c4c792cce3078c960b428999699e07"},"schema_version":"1.0","source":{"id":"2402.05956","kind":"arxiv","version":5}},"canonical_sha256":"633491b4c9280e6e21a00caa09d20df9426049d73be0b67b08c039a4ab029edd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"633491b4c9280e6e21a00caa09d20df9426049d73be0b67b08c039a4ab029edd","first_computed_at":"2026-07-05T09:06:57.200695Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:06:57.200695Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DZHyNJpVzZRL2yH3XFmufwRRLXbm7ml7M8xPd5zKq12kVtlyvHL9KT/qDVi1McfDnylOlCd2j8rV5K4MMzJkDw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:06:57.201107Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.05956","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ab42ed8c143478178ed82e9f89f5ed394d931a4d8810d68bde694804bc788ce1","sha256:a143997d6d2c887c303e7c7c8fb7b68f74cd1c1a3784e855ae0680678a20b34c"],"state_sha256":"a55b680e74127d6e969891c58350f495049b406f4f8b97712aea90854e1998c4"}