{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZSZC5DJLJSWQ36NNRQ4CACJPPU","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":"70677cd9b1168cf62872ea99bdee1c1a1034b5df915a6b18c9f6b43aa54b6eaf","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-22T10:45:50Z","title_canon_sha256":"84eff6460568103a1dfd93d9aed696e615bd66c85101be2f620e2176c0569bb9"},"schema_version":"1.0","source":{"id":"2405.13522","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.13522","created_at":"2026-07-05T11:03:50Z"},{"alias_kind":"arxiv_version","alias_value":"2405.13522v3","created_at":"2026-07-05T11:03:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.13522","created_at":"2026-07-05T11:03:50Z"},{"alias_kind":"pith_short_12","alias_value":"ZSZC5DJLJSWQ","created_at":"2026-07-05T11:03:50Z"},{"alias_kind":"pith_short_16","alias_value":"ZSZC5DJLJSWQ36NN","created_at":"2026-07-05T11:03:50Z"},{"alias_kind":"pith_short_8","alias_value":"ZSZC5DJL","created_at":"2026-07-05T11:03:50Z"}],"graph_snapshots":[{"event_id":"sha256:19c5e3d8ae97e0e0b65c9619fcd2aa47bc63fcff3166cd3ea34771d3c26cbf79","target":"graph","created_at":"2026-07-05T11:03:50Z","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/2405.13522/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Traditional time series forecasting methods predominantly rely on historical data patterns, neglecting external interventions that significantly shape future dynamics. Through control-theoretic analysis, we show that the implicit \"self-stimulation\" assumption limits the accuracy of these forecasts. To overcome this limitation, we propose an Intervention-Aware Time Series Forecasting (IATSF) framework explicitly designed to incorporate external interventions. We particularly emphasize textual interventions due to their unique capability to represent qualitative or uncertain influences inadequat","authors_text":"Hao Wang, Qiang Xu, Zhijian Xu","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-22T10:45:50Z","title":"Intervention-Aware Forecasting: Breaking Historical Limits from a System Perspective"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.13522","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":"sha256:8925aca30ac926f6ca2b176ea2c314adab0d6c113d393c45eb1a67842f2d90d3","target":"record","created_at":"2026-07-05T11:03:50Z","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":"70677cd9b1168cf62872ea99bdee1c1a1034b5df915a6b18c9f6b43aa54b6eaf","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-22T10:45:50Z","title_canon_sha256":"84eff6460568103a1dfd93d9aed696e615bd66c85101be2f620e2176c0569bb9"},"schema_version":"1.0","source":{"id":"2405.13522","kind":"arxiv","version":3}},"canonical_sha256":"ccb22e8d2b4cad0df9ad8c3820092f7d2fd2d3fa62a8abdc032c692846022915","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ccb22e8d2b4cad0df9ad8c3820092f7d2fd2d3fa62a8abdc032c692846022915","first_computed_at":"2026-07-05T11:03:50.136547Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:03:50.136547Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wCqiiXzHjtj0CmRhVFYVObyPV5xsULtdBO678s18wiN3j3Es+jGsG24gB8cS4aLtME62EYO84bTMGu9t1zbzDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:03:50.137050Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.13522","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8925aca30ac926f6ca2b176ea2c314adab0d6c113d393c45eb1a67842f2d90d3","sha256:19c5e3d8ae97e0e0b65c9619fcd2aa47bc63fcff3166cd3ea34771d3c26cbf79"],"state_sha256":"6a980aad7a336f57a9cf56243c912802110a28295e6af0e539173034bec3812d"}