{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:RC7PPSLNU52G7AEQPV344RYOBL","short_pith_number":"pith:RC7PPSLN","canonical_record":{"source":{"id":"1702.08638","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2017-02-28T04:25:44Z","cross_cats_sorted":["q-bio.QM","stat.AP"],"title_canon_sha256":"8e7d7f472ceb1efe16548a7663a295b8f68ce1c7a29e901ab2528158117990e8","abstract_canon_sha256":"6ebb96e4b0148d8f1d62df4760dc8833f8b28d9120f49a980994540b74cd594f"},"schema_version":"1.0"},"canonical_sha256":"88bef7c96da7746f80907d77ce470e0ad6926b1b18811c247539129ebba6507f","source":{"kind":"arxiv","id":"1702.08638","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.08638","created_at":"2026-05-18T00:31:41Z"},{"alias_kind":"arxiv_version","alias_value":"1702.08638v2","created_at":"2026-05-18T00:31:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.08638","created_at":"2026-05-18T00:31:41Z"},{"alias_kind":"pith_short_12","alias_value":"RC7PPSLNU52G","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"RC7PPSLNU52G7AEQ","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"RC7PPSLN","created_at":"2026-05-18T12:31:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:RC7PPSLNU52G7AEQPV344RYOBL","target":"record","payload":{"canonical_record":{"source":{"id":"1702.08638","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2017-02-28T04:25:44Z","cross_cats_sorted":["q-bio.QM","stat.AP"],"title_canon_sha256":"8e7d7f472ceb1efe16548a7663a295b8f68ce1c7a29e901ab2528158117990e8","abstract_canon_sha256":"6ebb96e4b0148d8f1d62df4760dc8833f8b28d9120f49a980994540b74cd594f"},"schema_version":"1.0"},"canonical_sha256":"88bef7c96da7746f80907d77ce470e0ad6926b1b18811c247539129ebba6507f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:31:41.558819Z","signature_b64":"7qPKG2ygEbsPZRqrP3Y1lNkXuBndZ0sNF23/QFrXDVdH5kY4p2gQlc/sG6ZYXW10f5GQZsrFiTGz5xIh7piCBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"88bef7c96da7746f80907d77ce470e0ad6926b1b18811c247539129ebba6507f","last_reissued_at":"2026-05-18T00:31:41.558321Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:31:41.558321Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1702.08638","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":"2026-05-18T00:31:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SxPhGiUYfscUYl+sbYwDyHZl3CnrjDSlZ+vh6I+kzaw4S2G3xeJO6FZBrUtxXD+A3mFtWH8LUxn4Gcn80h4DAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T16:06:33.746835Z"},"content_sha256":"0dc7ad5770a81719bd92084154a58f92af3594efd0b18b8200b5acef29fb551c","schema_version":"1.0","event_id":"sha256:0dc7ad5770a81719bd92084154a58f92af3594efd0b18b8200b5acef29fb551c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:RC7PPSLNU52G7AEQPV344RYOBL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Single-lead f-wave extraction using diffusion geometry","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.QM","stat.AP"],"primary_cat":"physics.data-an","authors_text":"Chun-Li Wang, Hautieng Wu, John Malik, Neil Reed","submitted_at":"2017-02-28T04:25:44Z","abstract_excerpt":"A novel single-lead f-wave extraction algorithm based on the modern diffusion geometry data analysis framework is proposed. The algorithm is essentially an averaged beat subtraction algorithm, where the ventricular activity template is estimated by combining a newly designed metric, the \"diffusion distance,\" and the non-local Euclidean median based on the non-linear manifold setup. We coined the algorithm DD-NLEM. Two simulation schemes are considered, and the new algorithm DD-NLEM outperforms traditional algorithms, including the average beat subtraction, principal component analysis, and ada"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.08638","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":"2026-05-18T00:31:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j7fG+Kv0xjKmQs/eBqumBu2uoQmS0DIkc/4z6P5oBMoy8bmWH/iBAVMQ8fsY7e8Ko/TTP0CBTJZrD86dTpdCAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T16:06:33.747218Z"},"content_sha256":"a63fb5793b5f2db30ae47e945f33ec288a2052b6171da0ec10005376f15dda8a","schema_version":"1.0","event_id":"sha256:a63fb5793b5f2db30ae47e945f33ec288a2052b6171da0ec10005376f15dda8a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RC7PPSLNU52G7AEQPV344RYOBL/bundle.json","state_url":"https://pith.science/pith/RC7PPSLNU52G7AEQPV344RYOBL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RC7PPSLNU52G7AEQPV344RYOBL/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":"2026-05-25T16:06:33Z","links":{"resolver":"https://pith.science/pith/RC7PPSLNU52G7AEQPV344RYOBL","bundle":"https://pith.science/pith/RC7PPSLNU52G7AEQPV344RYOBL/bundle.json","state":"https://pith.science/pith/RC7PPSLNU52G7AEQPV344RYOBL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RC7PPSLNU52G7AEQPV344RYOBL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:RC7PPSLNU52G7AEQPV344RYOBL","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":"6ebb96e4b0148d8f1d62df4760dc8833f8b28d9120f49a980994540b74cd594f","cross_cats_sorted":["q-bio.QM","stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2017-02-28T04:25:44Z","title_canon_sha256":"8e7d7f472ceb1efe16548a7663a295b8f68ce1c7a29e901ab2528158117990e8"},"schema_version":"1.0","source":{"id":"1702.08638","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.08638","created_at":"2026-05-18T00:31:41Z"},{"alias_kind":"arxiv_version","alias_value":"1702.08638v2","created_at":"2026-05-18T00:31:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.08638","created_at":"2026-05-18T00:31:41Z"},{"alias_kind":"pith_short_12","alias_value":"RC7PPSLNU52G","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"RC7PPSLNU52G7AEQ","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"RC7PPSLN","created_at":"2026-05-18T12:31:39Z"}],"graph_snapshots":[{"event_id":"sha256:a63fb5793b5f2db30ae47e945f33ec288a2052b6171da0ec10005376f15dda8a","target":"graph","created_at":"2026-05-18T00:31:41Z","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":"A novel single-lead f-wave extraction algorithm based on the modern diffusion geometry data analysis framework is proposed. The algorithm is essentially an averaged beat subtraction algorithm, where the ventricular activity template is estimated by combining a newly designed metric, the \"diffusion distance,\" and the non-local Euclidean median based on the non-linear manifold setup. We coined the algorithm DD-NLEM. Two simulation schemes are considered, and the new algorithm DD-NLEM outperforms traditional algorithms, including the average beat subtraction, principal component analysis, and ada","authors_text":"Chun-Li Wang, Hautieng Wu, John Malik, Neil Reed","cross_cats":["q-bio.QM","stat.AP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2017-02-28T04:25:44Z","title":"Single-lead f-wave extraction using diffusion geometry"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.08638","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":"sha256:0dc7ad5770a81719bd92084154a58f92af3594efd0b18b8200b5acef29fb551c","target":"record","created_at":"2026-05-18T00:31:41Z","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":"6ebb96e4b0148d8f1d62df4760dc8833f8b28d9120f49a980994540b74cd594f","cross_cats_sorted":["q-bio.QM","stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2017-02-28T04:25:44Z","title_canon_sha256":"8e7d7f472ceb1efe16548a7663a295b8f68ce1c7a29e901ab2528158117990e8"},"schema_version":"1.0","source":{"id":"1702.08638","kind":"arxiv","version":2}},"canonical_sha256":"88bef7c96da7746f80907d77ce470e0ad6926b1b18811c247539129ebba6507f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"88bef7c96da7746f80907d77ce470e0ad6926b1b18811c247539129ebba6507f","first_computed_at":"2026-05-18T00:31:41.558321Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:31:41.558321Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7qPKG2ygEbsPZRqrP3Y1lNkXuBndZ0sNF23/QFrXDVdH5kY4p2gQlc/sG6ZYXW10f5GQZsrFiTGz5xIh7piCBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:31:41.558819Z","signed_message":"canonical_sha256_bytes"},"source_id":"1702.08638","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0dc7ad5770a81719bd92084154a58f92af3594efd0b18b8200b5acef29fb551c","sha256:a63fb5793b5f2db30ae47e945f33ec288a2052b6171da0ec10005376f15dda8a"],"state_sha256":"b638ee7c530fb6e39c8e40ba8bd02fec7a747dc0a3971474312ad75f52df9c18"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jlkMQTgojagaW/J6QCOGFvFT9/3s2iLIs+4t1EDWkmez4lEUComxRygfZ+Pxgrezz5h7eT/egjY51isHkD8yBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T16:06:33.749897Z","bundle_sha256":"60478b1b9d9bf17eab67ca2163eb9bab61d1dbebd5d781c4a83054b5b1a91278"}}