{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:IBN7I2FURCFCX3TDSY3JRRNATJ","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":"e7c6ddae6be9fb6b7562646a97ddf8726453c2419b73785e502b3362ca3ef515","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-01-24T08:14:20Z","title_canon_sha256":"568aa4107719dfd5fdc7758db6701918a2486b5f5c6fd20a4bf9d204b6d8c897"},"schema_version":"1.0","source":{"id":"2401.13716","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.13716","created_at":"2026-07-05T08:09:27Z"},{"alias_kind":"arxiv_version","alias_value":"2401.13716v1","created_at":"2026-07-05T08:09:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.13716","created_at":"2026-07-05T08:09:27Z"},{"alias_kind":"pith_short_12","alias_value":"IBN7I2FURCFC","created_at":"2026-07-05T08:09:27Z"},{"alias_kind":"pith_short_16","alias_value":"IBN7I2FURCFCX3TD","created_at":"2026-07-05T08:09:27Z"},{"alias_kind":"pith_short_8","alias_value":"IBN7I2FU","created_at":"2026-07-05T08:09:27Z"}],"graph_snapshots":[{"event_id":"sha256:49455ae0aa94e5d4313aa3b346d0d4ab4e00063c50680e8d427b61c6bddf4098","target":"graph","created_at":"2026-07-05T08:09:27Z","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/2401.13716/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Ensuring safe adoption of AI tools in healthcare hinges on access to sufficient data for training, testing and validation. In response to privacy concerns and regulatory requirements, using synthetic data has been suggested. Synthetic data is created by training a generator on real data to produce a dataset with similar statistical properties. Competing metrics with differing taxonomies for quality evaluation have been suggested, resulting in a complex landscape. Optimising quality entails balancing considerations that make the data fit for use, yet relevant dimensions are left out of existing","authors_text":"Aleksandar Babic, Anne Kjersti Befring, Bj{\\o}rn Edwin, Helga Br{\\o}gger, Jan Franz Nyg{\\aa}rd, Narasimha Raghavan Veeraragavan, Serena Elizabeth Marshall, Severin Elvatun, Sharmini Alagaratnam, Vibeke Binz Vallevik","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-01-24T08:14:20Z","title":"Can I trust my fake data -- A comprehensive quality assessment framework for synthetic tabular data in healthcare"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.13716","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":"sha256:7a5ee65b05df82783afdcf6942cd92b89f54baac2ee9e0f7590b1106f97deda2","target":"record","created_at":"2026-07-05T08:09:27Z","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":"e7c6ddae6be9fb6b7562646a97ddf8726453c2419b73785e502b3362ca3ef515","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-01-24T08:14:20Z","title_canon_sha256":"568aa4107719dfd5fdc7758db6701918a2486b5f5c6fd20a4bf9d204b6d8c897"},"schema_version":"1.0","source":{"id":"2401.13716","kind":"arxiv","version":1}},"canonical_sha256":"405bf468b4888a2bee63963698c5a09a64f41ec914dfa003b7ab26c760256623","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"405bf468b4888a2bee63963698c5a09a64f41ec914dfa003b7ab26c760256623","first_computed_at":"2026-07-05T08:09:27.986191Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:09:27.986191Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WNbjtEWQWV8RPtQCZml56yoSwSYPvCqVemiydiQ2kuJpMuzZLpc+AnOklTzmFAXh1b99FhpsVzdZEr5/8LviDw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:09:27.986655Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.13716","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7a5ee65b05df82783afdcf6942cd92b89f54baac2ee9e0f7590b1106f97deda2","sha256:49455ae0aa94e5d4313aa3b346d0d4ab4e00063c50680e8d427b61c6bddf4098"],"state_sha256":"3aa65bd81c5db430915569d891816cb0114050835a91c6b30963f3d9d48dca5f"}