{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:75QKRT5REYAMZR2ZG2GFTOJVMJ","short_pith_number":"pith:75QKRT5R","canonical_record":{"source":{"id":"1810.04927","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-11T09:32:27Z","cross_cats_sorted":[],"title_canon_sha256":"a5948e11b42384f6c89048a782c88bb199aa202e76ba70da481f9af9d78713e2","abstract_canon_sha256":"1495dec94121bc5067a2daadab584dcb15a552c8b9e0cbf7b60408a5c3bdd767"},"schema_version":"1.0"},"canonical_sha256":"ff60a8cfb12600ccc759368c59b9356277e1ec1c2575bae492c4fb1de82b3f63","source":{"kind":"arxiv","id":"1810.04927","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.04927","created_at":"2026-05-17T23:59:49Z"},{"alias_kind":"arxiv_version","alias_value":"1810.04927v2","created_at":"2026-05-17T23:59:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.04927","created_at":"2026-05-17T23:59:49Z"},{"alias_kind":"pith_short_12","alias_value":"75QKRT5REYAM","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"75QKRT5REYAMZR2Z","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"75QKRT5R","created_at":"2026-05-18T12:32:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:75QKRT5REYAMZR2ZG2GFTOJVMJ","target":"record","payload":{"canonical_record":{"source":{"id":"1810.04927","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-11T09:32:27Z","cross_cats_sorted":[],"title_canon_sha256":"a5948e11b42384f6c89048a782c88bb199aa202e76ba70da481f9af9d78713e2","abstract_canon_sha256":"1495dec94121bc5067a2daadab584dcb15a552c8b9e0cbf7b60408a5c3bdd767"},"schema_version":"1.0"},"canonical_sha256":"ff60a8cfb12600ccc759368c59b9356277e1ec1c2575bae492c4fb1de82b3f63","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:59:49.135667Z","signature_b64":"qJcDFyhw6qHcLbFeENRDQtIO+DB9539GVKaTP8ESKw4FUoJylAqDbQ8nb6RerMvx+smocsVxiiI3iuRLNEj8Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ff60a8cfb12600ccc759368c59b9356277e1ec1c2575bae492c4fb1de82b3f63","last_reissued_at":"2026-05-17T23:59:49.135056Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:59:49.135056Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1810.04927","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:59:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6jqqe3TFBm7PHw5DAdOYzgnq60iz1Jx/pPI6D+27HMRIiw9VwVtYJxmATpkZVmtLkEQQ4KQA3OGPmRqcTtZ8Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T14:33:25.881077Z"},"content_sha256":"9e8b21c6756eaaa1f81e4a7010eee80a4f20f1d9fc2cff60011887d512470f07","schema_version":"1.0","event_id":"sha256:9e8b21c6756eaaa1f81e4a7010eee80a4f20f1d9fc2cff60011887d512470f07"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:75QKRT5REYAMZR2ZG2GFTOJVMJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VIPL-HR: A Multi-modal Database for Pulse Estimation from Less-constrained Face Video","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hu Han, Shiguang Shan, Xilin Chen, Xuesong Niu","submitted_at":"2018-10-11T09:32:27Z","abstract_excerpt":"Heart rate (HR) is an important physiological signal that reflects the physical and emotional activities of humans. Traditional HR measurements are mainly based on contact monitors, which are inconvenient and may cause discomfort for the subjects. Recently, methods have been proposed for remote HR estimation from face videos. However, most of the existing methods focus on well-controlled scenarios, their generalization ability into less-constrained scenarios are not known. At the same time, lacking large-scale databases has limited the use of deep representation learning methods in remote HR e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.04927","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":""},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:59:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xBuL3futPFl3M0t7QLoTQwk6wXiuRJivHP7r1b7bUZiUwvBlsZ72oHu1uOlvNqBr8aZkIbM0tq9K8xH5hkkKBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T14:33:25.881483Z"},"content_sha256":"9ccc15ec474fd673c3b9fbcbb9b8e11be6d9be05beb1f19945064cf2379e046d","schema_version":"1.0","event_id":"sha256:9ccc15ec474fd673c3b9fbcbb9b8e11be6d9be05beb1f19945064cf2379e046d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/75QKRT5REYAMZR2ZG2GFTOJVMJ/bundle.json","state_url":"https://pith.science/pith/75QKRT5REYAMZR2ZG2GFTOJVMJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/75QKRT5REYAMZR2ZG2GFTOJVMJ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-28T14:33:25Z","links":{"resolver":"https://pith.science/pith/75QKRT5REYAMZR2ZG2GFTOJVMJ","bundle":"https://pith.science/pith/75QKRT5REYAMZR2ZG2GFTOJVMJ/bundle.json","state":"https://pith.science/pith/75QKRT5REYAMZR2ZG2GFTOJVMJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/75QKRT5REYAMZR2ZG2GFTOJVMJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:75QKRT5REYAMZR2ZG2GFTOJVMJ","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":"1495dec94121bc5067a2daadab584dcb15a552c8b9e0cbf7b60408a5c3bdd767","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-11T09:32:27Z","title_canon_sha256":"a5948e11b42384f6c89048a782c88bb199aa202e76ba70da481f9af9d78713e2"},"schema_version":"1.0","source":{"id":"1810.04927","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.04927","created_at":"2026-05-17T23:59:49Z"},{"alias_kind":"arxiv_version","alias_value":"1810.04927v2","created_at":"2026-05-17T23:59:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.04927","created_at":"2026-05-17T23:59:49Z"},{"alias_kind":"pith_short_12","alias_value":"75QKRT5REYAM","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"75QKRT5REYAMZR2Z","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"75QKRT5R","created_at":"2026-05-18T12:32:11Z"}],"graph_snapshots":[{"event_id":"sha256:9ccc15ec474fd673c3b9fbcbb9b8e11be6d9be05beb1f19945064cf2379e046d","target":"graph","created_at":"2026-05-17T23:59:49Z","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"},"paper":{"abstract_excerpt":"Heart rate (HR) is an important physiological signal that reflects the physical and emotional activities of humans. Traditional HR measurements are mainly based on contact monitors, which are inconvenient and may cause discomfort for the subjects. Recently, methods have been proposed for remote HR estimation from face videos. However, most of the existing methods focus on well-controlled scenarios, their generalization ability into less-constrained scenarios are not known. At the same time, lacking large-scale databases has limited the use of deep representation learning methods in remote HR e","authors_text":"Hu Han, Shiguang Shan, Xilin Chen, Xuesong Niu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-11T09:32:27Z","title":"VIPL-HR: A Multi-modal Database for Pulse Estimation from Less-constrained Face Video"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.04927","kind":"arxiv","version":2},"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":"sha256:9e8b21c6756eaaa1f81e4a7010eee80a4f20f1d9fc2cff60011887d512470f07","target":"record","created_at":"2026-05-17T23:59:49Z","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":"1495dec94121bc5067a2daadab584dcb15a552c8b9e0cbf7b60408a5c3bdd767","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-11T09:32:27Z","title_canon_sha256":"a5948e11b42384f6c89048a782c88bb199aa202e76ba70da481f9af9d78713e2"},"schema_version":"1.0","source":{"id":"1810.04927","kind":"arxiv","version":2}},"canonical_sha256":"ff60a8cfb12600ccc759368c59b9356277e1ec1c2575bae492c4fb1de82b3f63","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ff60a8cfb12600ccc759368c59b9356277e1ec1c2575bae492c4fb1de82b3f63","first_computed_at":"2026-05-17T23:59:49.135056Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:59:49.135056Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qJcDFyhw6qHcLbFeENRDQtIO+DB9539GVKaTP8ESKw4FUoJylAqDbQ8nb6RerMvx+smocsVxiiI3iuRLNEj8Cw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:59:49.135667Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.04927","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9e8b21c6756eaaa1f81e4a7010eee80a4f20f1d9fc2cff60011887d512470f07","sha256:9ccc15ec474fd673c3b9fbcbb9b8e11be6d9be05beb1f19945064cf2379e046d"],"state_sha256":"f7849b96bc34e7b2ed1bc812fb31290da8e78746e5485e0256e4d5131eebb2fe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tE/ja82NFysI8ZzNZu+IIQ6bfeatAASkNy/fFjNOK5AsbbldaruKsJlvNjmUXIjzjBVCSn8jjrSg8x8llocIDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T14:33:25.883436Z","bundle_sha256":"b6c8d0201d089a2229cb5e89ed3469955c3c90bea4611244e34f36a94f16eb10"}}