{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BYDY7L2KKBWSXELQ7AVCICF6IU","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":"ec5bebf68d1b1594a85abf067a308c47a695e7968bbd41f9e2c1970d6c44f0c8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-15T17:23:49Z","title_canon_sha256":"8a2933bb3d0f1f21cabf15e85cf8612aaf4ba84296eef854ab53301e3c77f4e8"},"schema_version":"1.0","source":{"id":"2410.11802","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.11802","created_at":"2026-07-05T11:20:05Z"},{"alias_kind":"arxiv_version","alias_value":"2410.11802v6","created_at":"2026-07-05T11:20:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.11802","created_at":"2026-07-05T11:20:05Z"},{"alias_kind":"pith_short_12","alias_value":"BYDY7L2KKBWS","created_at":"2026-07-05T11:20:05Z"},{"alias_kind":"pith_short_16","alias_value":"BYDY7L2KKBWSXELQ","created_at":"2026-07-05T11:20:05Z"},{"alias_kind":"pith_short_8","alias_value":"BYDY7L2K","created_at":"2026-07-05T11:20:05Z"}],"graph_snapshots":[{"event_id":"sha256:4fd02f5c881005778e16427e8df1fc55fd47e6b7b3c020d5b9fe635893322ef8","target":"graph","created_at":"2026-07-05T11:20:05Z","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/2410.11802/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Time Series Forecasting (TSF) is key functionality in numerous fields, such as financial investment, weather services, and energy management. Although increasingly capable TSF methods occur, many of them require domain-specific data collection and model training and do not generalize well when applied in other domains. Time Series Foundation Models (TSFMs) that are pre-trained on massive heterogeneous time series data aim to overcome these limitations. The prospects for generalizability have spurred the development of a new generation of TSFMs. This study proposes a benchmark, TSFM-Bench, to f","authors_text":"Aoying Zhou, Bin Yang, Chenjuan Guo, Christian S. Jensen, Hanyin Cheng, Jilin Hu, Peng Chen, Xiangfei Qiu, Yang Shu, Yihang Wang, Zhe Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-15T17:23:49Z","title":"TSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.11802","kind":"arxiv","version":6},"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:d306dff1fcceb96d6063f73fe405da9538c16c3910efeb18cafeaa5c04785726","target":"record","created_at":"2026-07-05T11:20:05Z","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":"ec5bebf68d1b1594a85abf067a308c47a695e7968bbd41f9e2c1970d6c44f0c8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-15T17:23:49Z","title_canon_sha256":"8a2933bb3d0f1f21cabf15e85cf8612aaf4ba84296eef854ab53301e3c77f4e8"},"schema_version":"1.0","source":{"id":"2410.11802","kind":"arxiv","version":6}},"canonical_sha256":"0e078faf4a506d2b9170f82a2408be453d9059509f0e90717655758cb2159aac","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0e078faf4a506d2b9170f82a2408be453d9059509f0e90717655758cb2159aac","first_computed_at":"2026-07-05T11:20:05.785701Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:20:05.785701Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9vFvHfhGQNhR8BOY6Gc8Z4m95NujzxCbaDPY3kflsHXtt+xLElqOdSMTuRCIv/W35/bKgtuABiJVyDd2s/ijDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:20:05.786220Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.11802","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d306dff1fcceb96d6063f73fe405da9538c16c3910efeb18cafeaa5c04785726","sha256:4fd02f5c881005778e16427e8df1fc55fd47e6b7b3c020d5b9fe635893322ef8"],"state_sha256":"06aefa6c330f7e8ebca15c47290014454157ff2b73d5a785bc7cb8f8ac08f7ea"}