{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:CQJMV3N7VLBP7COMOX4YL7PCIS","short_pith_number":"pith:CQJMV3N7","schema_version":"1.0","canonical_sha256":"1412caedbfaac2ff89cc75f985fde2449938207cdec3048ad7a2fd73d6ea1f79","source":{"kind":"arxiv","id":"2503.04131","version":1},"attestation_state":"computed","paper":{"title":"Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Haoliang Li, Hui Liu, Jie Liu, Lichao Mou, Shiqi Wang, Tiexin Qin, Xiao Xiang Zhu, Yilei Shi","submitted_at":"2025-03-06T06:24:51Z","abstract_excerpt":"In this work, we address the challenge of adaptive pediatric Left Ventricular Ejection Fraction (LVEF) assessment. While Test-time Training (TTT) approaches show promise for this task, they suffer from two significant limitations. Existing TTT works are primarily designed for classification tasks rather than continuous value regression, and they lack mechanisms to handle the quasi-periodic nature of cardiac signals. To tackle these issues, we propose a novel \\textbf{Q}uasi-\\textbf{P}eriodic \\textbf{A}daptive \\textbf{R}egression with \\textbf{T}est-time Training (Q-PART) framework. In the traini"},"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":"2503.04131","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-06T06:24:51Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"d672b68085bad822bd3d4292fd0149c009539284d376af838a44ca3a0025ea33","abstract_canon_sha256":"6ff681cee4309f2eb35accb203502547e4c3b2e15bf5d8c531fbed7589e10f6a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:25:29.494118Z","signature_b64":"SRhgCcVPAmzIKhcrY6bn5h4ckP2OKAeGzKVHADz8jWUTN64azYUJmaOw91L15fAk/u/sd/JUAldRB0S9O3KNBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1412caedbfaac2ff89cc75f985fde2449938207cdec3048ad7a2fd73d6ea1f79","last_reissued_at":"2026-07-05T10:25:29.493575Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:25:29.493575Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Haoliang Li, Hui Liu, Jie Liu, Lichao Mou, Shiqi Wang, Tiexin Qin, Xiao Xiang Zhu, Yilei Shi","submitted_at":"2025-03-06T06:24:51Z","abstract_excerpt":"In this work, we address the challenge of adaptive pediatric Left Ventricular Ejection Fraction (LVEF) assessment. While Test-time Training (TTT) approaches show promise for this task, they suffer from two significant limitations. Existing TTT works are primarily designed for classification tasks rather than continuous value regression, and they lack mechanisms to handle the quasi-periodic nature of cardiac signals. To tackle these issues, we propose a novel \\textbf{Q}uasi-\\textbf{P}eriodic \\textbf{A}daptive \\textbf{R}egression with \\textbf{T}est-time Training (Q-PART) framework. In the traini"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.04131","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/2503.04131/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":"2503.04131","created_at":"2026-07-05T10:25:29.493667+00:00"},{"alias_kind":"arxiv_version","alias_value":"2503.04131v1","created_at":"2026-07-05T10:25:29.493667+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.04131","created_at":"2026-07-05T10:25:29.493667+00:00"},{"alias_kind":"pith_short_12","alias_value":"CQJMV3N7VLBP","created_at":"2026-07-05T10:25:29.493667+00:00"},{"alias_kind":"pith_short_16","alias_value":"CQJMV3N7VLBP7COM","created_at":"2026-07-05T10:25:29.493667+00:00"},{"alias_kind":"pith_short_8","alias_value":"CQJMV3N7","created_at":"2026-07-05T10:25:29.493667+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/CQJMV3N7VLBP7COMOX4YL7PCIS","json":"https://pith.science/pith/CQJMV3N7VLBP7COMOX4YL7PCIS.json","graph_json":"https://pith.science/api/pith-number/CQJMV3N7VLBP7COMOX4YL7PCIS/graph.json","events_json":"https://pith.science/api/pith-number/CQJMV3N7VLBP7COMOX4YL7PCIS/events.json","paper":"https://pith.science/paper/CQJMV3N7"},"agent_actions":{"view_html":"https://pith.science/pith/CQJMV3N7VLBP7COMOX4YL7PCIS","download_json":"https://pith.science/pith/CQJMV3N7VLBP7COMOX4YL7PCIS.json","view_paper":"https://pith.science/paper/CQJMV3N7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2503.04131&json=true","fetch_graph":"https://pith.science/api/pith-number/CQJMV3N7VLBP7COMOX4YL7PCIS/graph.json","fetch_events":"https://pith.science/api/pith-number/CQJMV3N7VLBP7COMOX4YL7PCIS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CQJMV3N7VLBP7COMOX4YL7PCIS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CQJMV3N7VLBP7COMOX4YL7PCIS/action/storage_attestation","attest_author":"https://pith.science/pith/CQJMV3N7VLBP7COMOX4YL7PCIS/action/author_attestation","sign_citation":"https://pith.science/pith/CQJMV3N7VLBP7COMOX4YL7PCIS/action/citation_signature","submit_replication":"https://pith.science/pith/CQJMV3N7VLBP7COMOX4YL7PCIS/action/replication_record"}},"created_at":"2026-07-05T10:25:29.493667+00:00","updated_at":"2026-07-05T10:25:29.493667+00:00"}