{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:R244TSYFS6SNYKDHO3QKC5E2OC","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":"37c4dc8a0ee8cc78fd4a1c968e5f47b4bd8cd96c072b6f15f08fcc5b082fe936","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-08T08:37:49Z","title_canon_sha256":"ca8309d8ddcb5310457ca06c4d9fceffecfa6f1da3468fad95ff37aca2280b80"},"schema_version":"1.0","source":{"id":"2306.05035","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.05035","created_at":"2026-07-05T07:40:54Z"},{"alias_kind":"arxiv_version","alias_value":"2306.05035v3","created_at":"2026-07-05T07:40:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.05035","created_at":"2026-07-05T07:40:54Z"},{"alias_kind":"pith_short_12","alias_value":"R244TSYFS6SN","created_at":"2026-07-05T07:40:54Z"},{"alias_kind":"pith_short_16","alias_value":"R244TSYFS6SNYKDH","created_at":"2026-07-05T07:40:54Z"},{"alias_kind":"pith_short_8","alias_value":"R244TSYF","created_at":"2026-07-05T07:40:54Z"}],"graph_snapshots":[{"event_id":"sha256:3302a020bfbf77045803266ec68dc22d3f28ac5eb356f5f4cb2d6b3ad5401efb","target":"graph","created_at":"2026-07-05T07:40:54Z","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/2306.05035/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As Transformer-based models have achieved impressive performance on various time series tasks, Long-Term Series Forecasting (LTSF) tasks have also received extensive attention in recent years. However, due to the inherent computational complexity and long sequences demanding of Transformer-based methods, its application on LTSF tasks still has two major issues that need to be further investigated: 1) Whether the sparse attention mechanism designed by these methods actually reduce the running time on real devices; 2) Whether these models need extra long input sequences to guarantee their perfor","authors_text":"Daojun Liang, Dongfeng Yuan, Dongyang Li, Haixia Zhang, Minggao Zhang, Xiaoyan Ma","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-08T08:37:49Z","title":"Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.05035","kind":"arxiv","version":3},"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":"sha256:3278bfdbb89fdb7e47d4222a2f7e70d5f38c220eac5c80d80f7c334473d3cd23","target":"record","created_at":"2026-07-05T07:40:54Z","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":"37c4dc8a0ee8cc78fd4a1c968e5f47b4bd8cd96c072b6f15f08fcc5b082fe936","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-08T08:37:49Z","title_canon_sha256":"ca8309d8ddcb5310457ca06c4d9fceffecfa6f1da3468fad95ff37aca2280b80"},"schema_version":"1.0","source":{"id":"2306.05035","kind":"arxiv","version":3}},"canonical_sha256":"8eb9c9cb0597a4dc286776e0a1749a70a7226948e0937447bb3977f62fcc8cc8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8eb9c9cb0597a4dc286776e0a1749a70a7226948e0937447bb3977f62fcc8cc8","first_computed_at":"2026-07-05T07:40:54.138216Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:40:54.138216Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gswEQIcEAKKmirHnLL/uhAMlEP76JIERwz642ZF9LBZ8lIDWXgKBj/gGlBimq9jMg7sXt1itVF60qkS2KsleAw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:40:54.138749Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.05035","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3278bfdbb89fdb7e47d4222a2f7e70d5f38c220eac5c80d80f7c334473d3cd23","sha256:3302a020bfbf77045803266ec68dc22d3f28ac5eb356f5f4cb2d6b3ad5401efb"],"state_sha256":"5e8953ecbaf115ac72986ef9c235810c2cf52d58e6fd4eab86bcc8602f874675"}