{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DVBMY6G264NE7SM7DB2NIDG4M7","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":"ffa37aad540a4286dc44dbf1a8eaaeef6a5a1dc3941d92fae06ab717e133099b","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-18T19:09:21Z","title_canon_sha256":"ba7654633e8bbb1946904e0dca345cd36ef7038e5c776cf063f5a4e3b10c4808"},"schema_version":"1.0","source":{"id":"2606.20878","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.20878","created_at":"2026-06-23T00:12:01Z"},{"alias_kind":"arxiv_version","alias_value":"2606.20878v1","created_at":"2026-06-23T00:12:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.20878","created_at":"2026-06-23T00:12:01Z"},{"alias_kind":"pith_short_12","alias_value":"DVBMY6G264NE","created_at":"2026-06-23T00:12:01Z"},{"alias_kind":"pith_short_16","alias_value":"DVBMY6G264NE7SM7","created_at":"2026-06-23T00:12:01Z"},{"alias_kind":"pith_short_8","alias_value":"DVBMY6G2","created_at":"2026-06-23T00:12:01Z"}],"graph_snapshots":[{"event_id":"sha256:39ee0a53f05d80cdc95c911bd1829c47a07fe10319d1c98fbc8c63624b0ab6af","target":"graph","created_at":"2026-06-23T00:12:01Z","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/2606.20878/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Synthetic tabular data enables microdata sharing in regulated domains, yet deploying continuous-time generative models requires balancing analytical utility, disclosure risk, and computational cost. Latent-space flow models are flexible, but theoretical equivalences across learning targets, probability paths, and sampling dynamics can translate into different behaviour under finite-step integration and explicit compute budgets. We present an empirical study of tabular latent flow models across seven datasets, evaluating velocity, score, noise, and posterior matching objectives under optimal tr","authors_text":"Bahrul Ilmi Nasution","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-18T19:09:21Z","title":"Understanding Latent Flow Models for Tabular Data Synthesis: Targets, Paths, and Sampling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.20878","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":"sha256:7dea4fe1316cce55e5ef8539ad4ae27ca89582f52d7f02be3332d3f2ccc01959","target":"record","created_at":"2026-06-23T00:12:01Z","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":"ffa37aad540a4286dc44dbf1a8eaaeef6a5a1dc3941d92fae06ab717e133099b","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-18T19:09:21Z","title_canon_sha256":"ba7654633e8bbb1946904e0dca345cd36ef7038e5c776cf063f5a4e3b10c4808"},"schema_version":"1.0","source":{"id":"2606.20878","kind":"arxiv","version":1}},"canonical_sha256":"1d42cc78daf71a4fc99f1874d40cdc67df3796fae6c69926cae0d7ebd35bcb89","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1d42cc78daf71a4fc99f1874d40cdc67df3796fae6c69926cae0d7ebd35bcb89","first_computed_at":"2026-06-23T00:12:01.542175Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T00:12:01.542175Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZJHOwAkkw79e2IbULiFsdD3ukNz8gXJjjH9jST01hM3sbgCQpEoNsfgXvr9NlfCULBx2d1KIYsayCHNPj0MrAg==","signature_status":"signed_v1","signed_at":"2026-06-23T00:12:01.542543Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.20878","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7dea4fe1316cce55e5ef8539ad4ae27ca89582f52d7f02be3332d3f2ccc01959","sha256:39ee0a53f05d80cdc95c911bd1829c47a07fe10319d1c98fbc8c63624b0ab6af"],"state_sha256":"a25542405f40984dd7c60959fd9c7ec3a549c08d570bd5be3a298b518af31d7d"}