{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2F6MVJ24W7H3RW4IGXIDGD3FCY","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":"ceef8c18251cc9bbd8e4e21fb8966fbbfba97078fc154779b9c27f4d85d1cf02","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-03T13:18:01Z","title_canon_sha256":"84c0b2ee7c374c46e588f5b59d8316573ba45104d922a029eebceb705456b27d"},"schema_version":"1.0","source":{"id":"2502.01335","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.01335","created_at":"2026-07-05T10:08:45Z"},{"alias_kind":"arxiv_version","alias_value":"2502.01335v1","created_at":"2026-07-05T10:08:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.01335","created_at":"2026-07-05T10:08:45Z"},{"alias_kind":"pith_short_12","alias_value":"2F6MVJ24W7H3","created_at":"2026-07-05T10:08:45Z"},{"alias_kind":"pith_short_16","alias_value":"2F6MVJ24W7H3RW4I","created_at":"2026-07-05T10:08:45Z"},{"alias_kind":"pith_short_8","alias_value":"2F6MVJ24","created_at":"2026-07-05T10:08:45Z"}],"graph_snapshots":[{"event_id":"sha256:51347396d52c7d7314a86955251da694d1e586eb63357ad4f37842ccf86359eb","target":"graph","created_at":"2026-07-05T10:08:45Z","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/2502.01335/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While traditional self-supervised learning methods improve performance and robustness across various medical tasks, they rely on single-vector embeddings that may not capture fine-grained concepts such as anatomical structures or organs. The ability to identify such concepts and their characteristics without supervision has the potential to improve pre-training methods, and enable novel applications such as fine-grained image retrieval and concept-based outlier detection. In this paper, we introduce ConceptVAE, a novel pre-training framework that detects and disentangles fine-grained concepts ","authors_text":"Alex Serban, Costin F. Ciusdel, Tiziano Passerini","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-03T13:18:01Z","title":"ConceptVAE: Self-Supervised Fine-Grained Concept Disentanglement from 2D Echocardiographies"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.01335","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":"sha256:73875325da7720d846e79fa38d35ad96c5bd1eb3b2f52db6a9649ea1d8b42b1b","target":"record","created_at":"2026-07-05T10:08:45Z","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":"ceef8c18251cc9bbd8e4e21fb8966fbbfba97078fc154779b9c27f4d85d1cf02","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-03T13:18:01Z","title_canon_sha256":"84c0b2ee7c374c46e588f5b59d8316573ba45104d922a029eebceb705456b27d"},"schema_version":"1.0","source":{"id":"2502.01335","kind":"arxiv","version":1}},"canonical_sha256":"d17ccaa75cb7cfb8db8835d0330f65163efb10a9a217c82d30c4a3886daa7062","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d17ccaa75cb7cfb8db8835d0330f65163efb10a9a217c82d30c4a3886daa7062","first_computed_at":"2026-07-05T10:08:45.861962Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:08:45.861962Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"V3bOu7wBWT6PNPGuaz/qughH2qkPDYSsSJhIYyteX0/qtUc4VdROU4T/R2+5udjsdXWQjv0jWaVPuMz7F/BjCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:08:45.862395Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.01335","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:73875325da7720d846e79fa38d35ad96c5bd1eb3b2f52db6a9649ea1d8b42b1b","sha256:51347396d52c7d7314a86955251da694d1e586eb63357ad4f37842ccf86359eb"],"state_sha256":"5a52d13ccf15fe23909017427001666375c3da90bd995afe91cbf0dfa150fcdc"}