{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:SP7V3MJX4HMT5XWIDDGJZ3TTYG","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":"13e56936e4cea52c7965d9d54bacea20c42ecc40445d26887fec7eba9b56ba68","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-19T07:50:11Z","title_canon_sha256":"c2981a8fe9496dfb147becba7f18f50480cdfa0b10af7aae2c311e9dded4f215"},"schema_version":"1.0","source":{"id":"2602.17149","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.17149","created_at":"2026-06-03T01:05:49Z"},{"alias_kind":"arxiv_version","alias_value":"2602.17149v2","created_at":"2026-06-03T01:05:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.17149","created_at":"2026-06-03T01:05:49Z"},{"alias_kind":"pith_short_12","alias_value":"SP7V3MJX4HMT","created_at":"2026-06-03T01:05:49Z"},{"alias_kind":"pith_short_16","alias_value":"SP7V3MJX4HMT5XWI","created_at":"2026-06-03T01:05:49Z"},{"alias_kind":"pith_short_8","alias_value":"SP7V3MJX","created_at":"2026-06-03T01:05:49Z"}],"graph_snapshots":[{"event_id":"sha256:6ef4d22c788bcfd0beb3070a418c958846c39c250868bd19a800799910048f3d","target":"graph","created_at":"2026-06-03T01:05:49Z","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/2602.17149/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent time series modeling faces a sharp divide between numerical generation and semantic understanding, with research showing that generation models often rely on superficial pattern matching, while understanding-oriented models struggle with high-fidelity numerical output. Although unified multimodal models (UMMs) have bridged this gap in vision, their potential for time series remains untapped. We propose TimeOmni-VL, the first vision-centric framework that unifies time series understanding and generation through two key innovations: (1) Fidelity-preserving bidirectional mapping between ti","authors_text":"Cesare Alippi, Johan Barthelemy, Ming Jin, Sheng Pan, Shirui Pan, Tong Guan, Yujun Cai, Zhao Li","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-19T07:50:11Z","title":"TimeOmni-VL: Unified Models for Time Series Understanding and Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.17149","kind":"arxiv","version":2},"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:b5f3c438b5c2f7299bbe118dae7d44b0c285a4632fa51f0c4ca3d62b64fb2bac","target":"record","created_at":"2026-06-03T01:05:49Z","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":"13e56936e4cea52c7965d9d54bacea20c42ecc40445d26887fec7eba9b56ba68","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-19T07:50:11Z","title_canon_sha256":"c2981a8fe9496dfb147becba7f18f50480cdfa0b10af7aae2c311e9dded4f215"},"schema_version":"1.0","source":{"id":"2602.17149","kind":"arxiv","version":2}},"canonical_sha256":"93ff5db137e1d93edec818cc9cee73c1aa7240834480090ba391c7f8ebe797ed","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"93ff5db137e1d93edec818cc9cee73c1aa7240834480090ba391c7f8ebe797ed","first_computed_at":"2026-06-03T01:05:49.020926Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-03T01:05:49.020926Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8bfklXMNhoQy/YhoY+ralBa0wCiQ5G1kqSpMZHmL1T6737aHcWMIQmRRy9ixH0d7XfQUczi9rhZGxJ+4YmHIDg==","signature_status":"signed_v1","signed_at":"2026-06-03T01:05:49.021416Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.17149","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b5f3c438b5c2f7299bbe118dae7d44b0c285a4632fa51f0c4ca3d62b64fb2bac","sha256:6ef4d22c788bcfd0beb3070a418c958846c39c250868bd19a800799910048f3d"],"state_sha256":"dbc1cc2415cb2d69e3c4bf1a1d35609857213f23809c64e3af2ea35a2fdaa0b9"}