{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DNSWNRD2JDIC3RI4ZJYCQYKS7H","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":"f897b20d28ffe710ba123a818a69ba93c2b65d182723ee7f4c0a940029dcc1be","cross_cats_sorted":["cs.AI","cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-28T01:13:30Z","title_canon_sha256":"85d288fcbae5cf8e77ffd6c51394a04fc90c331ff104d9a59d15626c382ee6ae"},"schema_version":"1.0","source":{"id":"2501.00051","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.00051","created_at":"2026-07-05T11:55:37Z"},{"alias_kind":"arxiv_version","alias_value":"2501.00051v2","created_at":"2026-07-05T11:55:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.00051","created_at":"2026-07-05T11:55:37Z"},{"alias_kind":"pith_short_12","alias_value":"DNSWNRD2JDIC","created_at":"2026-07-05T11:55:37Z"},{"alias_kind":"pith_short_16","alias_value":"DNSWNRD2JDIC3RI4","created_at":"2026-07-05T11:55:37Z"},{"alias_kind":"pith_short_8","alias_value":"DNSWNRD2","created_at":"2026-07-05T11:55:37Z"}],"graph_snapshots":[{"event_id":"sha256:cba39aa0d86ddbca3e14e40e47764c8dcb6bb941db551f806333e99bd7a86d0b","target":"graph","created_at":"2026-07-05T11:55:37Z","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/2501.00051/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Digital twin (DT) technology enables real-time simulation, prediction, and optimization of physical systems, but practical deployment faces challenges from high data requirements, proprietary data constraints, and limited adaptability to evolving conditions. This work introduces DDD-GenDT, a dynamic data-driven generative digital twin framework grounded in the Dynamic Data-Driven Application Systems (DDDAS) paradigm. The architecture comprises the Physical Twin Observation Graph (PTOG) to represent operational states, an Observation Window Extraction process to capture temporal sequences, a Da","authors_text":"Banafsheh Saber Latibari, Pratik Satam, Qinxuan Shi, Shalaka Satam, Sicong Shao, Soheil Salehi, Yu-Zheng Lin, Zhanglong Yang","cross_cats":["cs.AI","cs.SY","eess.SY"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-28T01:13:30Z","title":"DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.00051","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":"sha256:90b4fe335febf3543d8fea80902c24c37840fb62f61104168d2e57418d6b0437","target":"record","created_at":"2026-07-05T11:55:37Z","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":"f897b20d28ffe710ba123a818a69ba93c2b65d182723ee7f4c0a940029dcc1be","cross_cats_sorted":["cs.AI","cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-28T01:13:30Z","title_canon_sha256":"85d288fcbae5cf8e77ffd6c51394a04fc90c331ff104d9a59d15626c382ee6ae"},"schema_version":"1.0","source":{"id":"2501.00051","kind":"arxiv","version":2}},"canonical_sha256":"1b6566c47a48d02dc51cca70286152f9f50e1503306c9b2b97d602dc4e5b9340","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1b6566c47a48d02dc51cca70286152f9f50e1503306c9b2b97d602dc4e5b9340","first_computed_at":"2026-07-05T11:55:37.538620Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:55:37.538620Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z4zXyDZrxh7if0dtr970Wm60cThiNZP2j67Q5xK+2tdUjGmvxo4kAystxVg2C2OPxqgJHRfJdoK/oEf1MqdiBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:55:37.539001Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.00051","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:90b4fe335febf3543d8fea80902c24c37840fb62f61104168d2e57418d6b0437","sha256:cba39aa0d86ddbca3e14e40e47764c8dcb6bb941db551f806333e99bd7a86d0b"],"state_sha256":"4d51a4a4a872da00fe307e081ce0c36d76a5139c73247e4ab59c26d0ef0f5d90"}