{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:B5537FEM67LFCGMLGWEXSHLTJ3","short_pith_number":"pith:B5537FEM","schema_version":"1.0","canonical_sha256":"0f7bbf948cf7d651198b3589791d734ece6a5b45584912b3a5fcdbe8ec966f14","source":{"kind":"arxiv","id":"2504.18835","version":2},"attestation_state":"computed","paper":{"title":"Machine learning accelerates fuel cell life testing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Hao Liu, Haoyi Jiang, Tong Li, Xiaoping Ouyang, Xingkai Wang, Yanbin Zhao, Zhenfei Ling, Zhihua Deng, Zhiyang Liu","submitted_at":"2025-04-26T07:43:09Z","abstract_excerpt":"Accelerated life testing (ALT) can significantly reduce the economic, time, and labor costs of life testing in the process of equipment, device, and material research and development (R&D), and improve R&D efficiency. This paper proposes a performance characterization data prediction (PCDP) method and a life prediction-driven ALT (LP-ALT) method to accelerate the life test of polymer electrolyte membrane fuel cells (PEMFCs). The PCDP method can accurately predict different PCD using only four impedances (real and imaginary) corresponding to a high frequency and a medium frequency, greatly shor"},"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":"2504.18835","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2025-04-26T07:43:09Z","cross_cats_sorted":[],"title_canon_sha256":"308b6fa348c6fae9a58167f5cf416341c111a0944f0eaa1f64719d53d58df79e","abstract_canon_sha256":"131af71cd282c066ed16425ae9b34daeae1a336233c7387404fecbdc871437d8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:59:29.179246Z","signature_b64":"EJWjFs62XJtS2ChvgIG0fD+DrYhWL1Wjxdlmnq/WTspeQEgrS8StW3qDKvtzDssG4X4dtyDY4VjhJ8Ui2UnPCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0f7bbf948cf7d651198b3589791d734ece6a5b45584912b3a5fcdbe8ec966f14","last_reissued_at":"2026-07-05T10:59:29.178728Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:59:29.178728Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Machine learning accelerates fuel cell life testing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Hao Liu, Haoyi Jiang, Tong Li, Xiaoping Ouyang, Xingkai Wang, Yanbin Zhao, Zhenfei Ling, Zhihua Deng, Zhiyang Liu","submitted_at":"2025-04-26T07:43:09Z","abstract_excerpt":"Accelerated life testing (ALT) can significantly reduce the economic, time, and labor costs of life testing in the process of equipment, device, and material research and development (R&D), and improve R&D efficiency. This paper proposes a performance characterization data prediction (PCDP) method and a life prediction-driven ALT (LP-ALT) method to accelerate the life test of polymer electrolyte membrane fuel cells (PEMFCs). The PCDP method can accurately predict different PCD using only four impedances (real and imaginary) corresponding to a high frequency and a medium frequency, greatly shor"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.18835","kind":"arxiv","version":2},"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/2504.18835/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":"2504.18835","created_at":"2026-07-05T10:59:29.178789+00:00"},{"alias_kind":"arxiv_version","alias_value":"2504.18835v2","created_at":"2026-07-05T10:59:29.178789+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.18835","created_at":"2026-07-05T10:59:29.178789+00:00"},{"alias_kind":"pith_short_12","alias_value":"B5537FEM67LF","created_at":"2026-07-05T10:59:29.178789+00:00"},{"alias_kind":"pith_short_16","alias_value":"B5537FEM67LFCGML","created_at":"2026-07-05T10:59:29.178789+00:00"},{"alias_kind":"pith_short_8","alias_value":"B5537FEM","created_at":"2026-07-05T10:59:29.178789+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/B5537FEM67LFCGMLGWEXSHLTJ3","json":"https://pith.science/pith/B5537FEM67LFCGMLGWEXSHLTJ3.json","graph_json":"https://pith.science/api/pith-number/B5537FEM67LFCGMLGWEXSHLTJ3/graph.json","events_json":"https://pith.science/api/pith-number/B5537FEM67LFCGMLGWEXSHLTJ3/events.json","paper":"https://pith.science/paper/B5537FEM"},"agent_actions":{"view_html":"https://pith.science/pith/B5537FEM67LFCGMLGWEXSHLTJ3","download_json":"https://pith.science/pith/B5537FEM67LFCGMLGWEXSHLTJ3.json","view_paper":"https://pith.science/paper/B5537FEM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2504.18835&json=true","fetch_graph":"https://pith.science/api/pith-number/B5537FEM67LFCGMLGWEXSHLTJ3/graph.json","fetch_events":"https://pith.science/api/pith-number/B5537FEM67LFCGMLGWEXSHLTJ3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/B5537FEM67LFCGMLGWEXSHLTJ3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/B5537FEM67LFCGMLGWEXSHLTJ3/action/storage_attestation","attest_author":"https://pith.science/pith/B5537FEM67LFCGMLGWEXSHLTJ3/action/author_attestation","sign_citation":"https://pith.science/pith/B5537FEM67LFCGMLGWEXSHLTJ3/action/citation_signature","submit_replication":"https://pith.science/pith/B5537FEM67LFCGMLGWEXSHLTJ3/action/replication_record"}},"created_at":"2026-07-05T10:59:29.178789+00:00","updated_at":"2026-07-05T10:59:29.178789+00:00"}