{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:22ILLJXCZ5YXQWR6O6KUWPJPTO","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":"42e44e59193223536cddc853c7ebe38600a0f13e568f7badb179f64694af9e6e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-30T08:31:22Z","title_canon_sha256":"8cebb12f35e379bf8fa0c46d578cc152169bb9a35e84d0994ac5cf93a987ddab"},"schema_version":"1.0","source":{"id":"2305.18838","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.18838","created_at":"2026-07-05T06:15:05Z"},{"alias_kind":"arxiv_version","alias_value":"2305.18838v1","created_at":"2026-07-05T06:15:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.18838","created_at":"2026-07-05T06:15:05Z"},{"alias_kind":"pith_short_12","alias_value":"22ILLJXCZ5YX","created_at":"2026-07-05T06:15:05Z"},{"alias_kind":"pith_short_16","alias_value":"22ILLJXCZ5YXQWR6","created_at":"2026-07-05T06:15:05Z"},{"alias_kind":"pith_short_8","alias_value":"22ILLJXC","created_at":"2026-07-05T06:15:05Z"}],"graph_snapshots":[{"event_id":"sha256:90cf87531a22833e176728864a252f4004ec99958f00f71bc8de575384f7aba6","target":"graph","created_at":"2026-07-05T06:15:05Z","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/2305.18838/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Long-term time series forecasting (LTSF) is a crucial aspect of modern society, playing a pivotal role in facilitating long-term planning and developing early warning systems. While many Transformer-based models have recently been introduced for LTSF, a doubt have been raised regarding the effectiveness of attention modules in capturing cross-time dependencies. In this study, we design a mask-series experiment to validate this assumption and subsequently propose the \"Cross-variable Linear Integrated ENhanced Transformer for Multivariate Long-Term Time Series Forecasting\" (Client), an advanced ","authors_text":"Jiaxin Gao, Wenbo Hu, Yuntian Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-30T08:31:22Z","title":"Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.18838","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:f8c7c3a61a421ad80f7321f20cb94cecf07163cb1ef0f82482c3e693df443ad5","target":"record","created_at":"2026-07-05T06:15:05Z","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":"42e44e59193223536cddc853c7ebe38600a0f13e568f7badb179f64694af9e6e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-30T08:31:22Z","title_canon_sha256":"8cebb12f35e379bf8fa0c46d578cc152169bb9a35e84d0994ac5cf93a987ddab"},"schema_version":"1.0","source":{"id":"2305.18838","kind":"arxiv","version":1}},"canonical_sha256":"d690b5a6e2cf71785a3e77954b3d2f9bbbe007d1821cf102ebc3d749df03bc5f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d690b5a6e2cf71785a3e77954b3d2f9bbbe007d1821cf102ebc3d749df03bc5f","first_computed_at":"2026-07-05T06:15:05.615288Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:15:05.615288Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tICDzDmUyOj442Uc7ou09Vsxdd81n/SZQrL/u5XuZ9lh7NdYOYkYzkfNxpZXbS/+OxkecFMGHkPV3qkikVCtDA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:15:05.615832Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.18838","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f8c7c3a61a421ad80f7321f20cb94cecf07163cb1ef0f82482c3e693df443ad5","sha256:90cf87531a22833e176728864a252f4004ec99958f00f71bc8de575384f7aba6"],"state_sha256":"3edd08a424b226a205f9d68f4fd738daedafd2252c81e84a4b5d21646f93b55b"}