{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:HYY2CVBCMKCLVH5CDDSKVEFK3M","short_pith_number":"pith:HYY2CVBC","schema_version":"1.0","canonical_sha256":"3e31a154226284ba9fa218e4aa90aadb14efbc1ec4db5ae87113486b4773d41a","source":{"kind":"arxiv","id":"2606.22943","version":1},"attestation_state":"computed","paper":{"title":"Evaluating self-supervised echocardiographic representations across downstream extraction strategies for left-ventricular segmentation and ejection fraction estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Philip Teare, Sylwia Majchrowska","submitted_at":"2026-06-22T07:21:43Z","abstract_excerpt":"Self-supervised learning (SSL) is increasingly used in medical imaging to reduce annotation requirements, but representation quality is often judged using a single downstream evaluation setting. For dense clinical tasks, this can confound representation quality with the capacity of the downstream model used to recover task-relevant information. We present a systematic evaluation of self-supervised representations for left-ventricular segmentation and ejection fraction (EF) estimation from apical four-chamber echocardiography on EchoNet-Dynamic. Rather than relying on a single downstream probe,"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.22943","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-22T07:21:43Z","cross_cats_sorted":[],"title_canon_sha256":"88b3ee172eff914b0e2f07d2246123f7f41876cd0bf4f9771f38557b66226e9b","abstract_canon_sha256":"807635d77ee9ece10bc33f8504946282514a7639ab9110cf854caa8abb6c318b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T03:14:04.899804Z","signature_b64":"xQZcH6UDQZKN3ANdotrxUdYcJVkz4I5e4583WhxfX3IuHF8326VqTx5gM01PhS6lJEJ2bJRQnYywodex4OxaBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3e31a154226284ba9fa218e4aa90aadb14efbc1ec4db5ae87113486b4773d41a","last_reissued_at":"2026-06-23T03:14:04.899387Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T03:14:04.899387Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Evaluating self-supervised echocardiographic representations across downstream extraction strategies for left-ventricular segmentation and ejection fraction estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Philip Teare, Sylwia Majchrowska","submitted_at":"2026-06-22T07:21:43Z","abstract_excerpt":"Self-supervised learning (SSL) is increasingly used in medical imaging to reduce annotation requirements, but representation quality is often judged using a single downstream evaluation setting. For dense clinical tasks, this can confound representation quality with the capacity of the downstream model used to recover task-relevant information. We present a systematic evaluation of self-supervised representations for left-ventricular segmentation and ejection fraction (EF) estimation from apical four-chamber echocardiography on EchoNet-Dynamic. Rather than relying on a single downstream probe,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.22943","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.22943/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.22943","created_at":"2026-06-23T03:14:04.899444+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.22943v1","created_at":"2026-06-23T03:14:04.899444+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.22943","created_at":"2026-06-23T03:14:04.899444+00:00"},{"alias_kind":"pith_short_12","alias_value":"HYY2CVBCMKCL","created_at":"2026-06-23T03:14:04.899444+00:00"},{"alias_kind":"pith_short_16","alias_value":"HYY2CVBCMKCLVH5C","created_at":"2026-06-23T03:14:04.899444+00:00"},{"alias_kind":"pith_short_8","alias_value":"HYY2CVBC","created_at":"2026-06-23T03:14:04.899444+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/HYY2CVBCMKCLVH5CDDSKVEFK3M","json":"https://pith.science/pith/HYY2CVBCMKCLVH5CDDSKVEFK3M.json","graph_json":"https://pith.science/api/pith-number/HYY2CVBCMKCLVH5CDDSKVEFK3M/graph.json","events_json":"https://pith.science/api/pith-number/HYY2CVBCMKCLVH5CDDSKVEFK3M/events.json","paper":"https://pith.science/paper/HYY2CVBC"},"agent_actions":{"view_html":"https://pith.science/pith/HYY2CVBCMKCLVH5CDDSKVEFK3M","download_json":"https://pith.science/pith/HYY2CVBCMKCLVH5CDDSKVEFK3M.json","view_paper":"https://pith.science/paper/HYY2CVBC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.22943&json=true","fetch_graph":"https://pith.science/api/pith-number/HYY2CVBCMKCLVH5CDDSKVEFK3M/graph.json","fetch_events":"https://pith.science/api/pith-number/HYY2CVBCMKCLVH5CDDSKVEFK3M/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HYY2CVBCMKCLVH5CDDSKVEFK3M/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HYY2CVBCMKCLVH5CDDSKVEFK3M/action/storage_attestation","attest_author":"https://pith.science/pith/HYY2CVBCMKCLVH5CDDSKVEFK3M/action/author_attestation","sign_citation":"https://pith.science/pith/HYY2CVBCMKCLVH5CDDSKVEFK3M/action/citation_signature","submit_replication":"https://pith.science/pith/HYY2CVBCMKCLVH5CDDSKVEFK3M/action/replication_record"}},"created_at":"2026-06-23T03:14:04.899444+00:00","updated_at":"2026-06-23T03:14:04.899444+00:00"}