{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:BGGYHZWOVZKXQMTETUSIJZUV2S","short_pith_number":"pith:BGGYHZWO","schema_version":"1.0","canonical_sha256":"098d83e6ceae557832649d2484e695d4b366cb558921377e7e6c7a9a1d4774c9","source":{"kind":"arxiv","id":"2606.03050","version":1},"attestation_state":"computed","paper":{"title":"FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiajie Li, Juan Cheng, Rencheng Song, Xun Chen, Yu Liu","submitted_at":"2026-06-02T02:33:27Z","abstract_excerpt":"Remote photoplethysmography (rPPG) enables non-contact extraction of blood volume pulse (BVP) signals using consumer-grade cameras. Recent unsupervised rPPG methods learn BVP representations without requiring ground-truth physiological annotations, yet their optimization is often hindered by noisy and unstable gradients, resulting in slow convergence and limited cross-domain generalization. In this paper, we propose FCUS-rPPG, a fast-converging unsupervised rPPG framework with strong generalization capability. Motivated by the observation that BVP representations exhibit both multi-spectral co"},"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":"2606.03050","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-02T02:33:27Z","cross_cats_sorted":[],"title_canon_sha256":"903ae43927bc49fcba93429452121272971d72fa994ae9655fab230c72d4bbe6","abstract_canon_sha256":"2cbc86bc220717d37daecca0fb08ef5f23f235a13eedc2471f757b7b1ef572b9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-03T01:05:30.280306Z","signature_b64":"SLP93DvMziOi+zDwVC9fUEf8ymI0WJXQOpMpm9EcP7EAI0w548xOC8+eBh1cuREjG/+6YhaduvnODRQtGJiBAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"098d83e6ceae557832649d2484e695d4b366cb558921377e7e6c7a9a1d4774c9","last_reissued_at":"2026-06-03T01:05:30.279892Z","signature_status":"signed_v1","first_computed_at":"2026-06-03T01:05:30.279892Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiajie Li, Juan Cheng, Rencheng Song, Xun Chen, Yu Liu","submitted_at":"2026-06-02T02:33:27Z","abstract_excerpt":"Remote photoplethysmography (rPPG) enables non-contact extraction of blood volume pulse (BVP) signals using consumer-grade cameras. Recent unsupervised rPPG methods learn BVP representations without requiring ground-truth physiological annotations, yet their optimization is often hindered by noisy and unstable gradients, resulting in slow convergence and limited cross-domain generalization. In this paper, we propose FCUS-rPPG, a fast-converging unsupervised rPPG framework with strong generalization capability. Motivated by the observation that BVP representations exhibit both multi-spectral co"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.03050","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/2606.03050/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":"2606.03050","created_at":"2026-06-03T01:05:30.279951+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.03050v1","created_at":"2026-06-03T01:05:30.279951+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.03050","created_at":"2026-06-03T01:05:30.279951+00:00"},{"alias_kind":"pith_short_12","alias_value":"BGGYHZWOVZKX","created_at":"2026-06-03T01:05:30.279951+00:00"},{"alias_kind":"pith_short_16","alias_value":"BGGYHZWOVZKXQMTE","created_at":"2026-06-03T01:05:30.279951+00:00"},{"alias_kind":"pith_short_8","alias_value":"BGGYHZWO","created_at":"2026-06-03T01:05:30.279951+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/BGGYHZWOVZKXQMTETUSIJZUV2S","json":"https://pith.science/pith/BGGYHZWOVZKXQMTETUSIJZUV2S.json","graph_json":"https://pith.science/api/pith-number/BGGYHZWOVZKXQMTETUSIJZUV2S/graph.json","events_json":"https://pith.science/api/pith-number/BGGYHZWOVZKXQMTETUSIJZUV2S/events.json","paper":"https://pith.science/paper/BGGYHZWO"},"agent_actions":{"view_html":"https://pith.science/pith/BGGYHZWOVZKXQMTETUSIJZUV2S","download_json":"https://pith.science/pith/BGGYHZWOVZKXQMTETUSIJZUV2S.json","view_paper":"https://pith.science/paper/BGGYHZWO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.03050&json=true","fetch_graph":"https://pith.science/api/pith-number/BGGYHZWOVZKXQMTETUSIJZUV2S/graph.json","fetch_events":"https://pith.science/api/pith-number/BGGYHZWOVZKXQMTETUSIJZUV2S/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BGGYHZWOVZKXQMTETUSIJZUV2S/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BGGYHZWOVZKXQMTETUSIJZUV2S/action/storage_attestation","attest_author":"https://pith.science/pith/BGGYHZWOVZKXQMTETUSIJZUV2S/action/author_attestation","sign_citation":"https://pith.science/pith/BGGYHZWOVZKXQMTETUSIJZUV2S/action/citation_signature","submit_replication":"https://pith.science/pith/BGGYHZWOVZKXQMTETUSIJZUV2S/action/replication_record"}},"created_at":"2026-06-03T01:05:30.279951+00:00","updated_at":"2026-06-03T01:05:30.279951+00:00"}