{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:7QREGVK45PV37D3WVHUR6NQ6IG","short_pith_number":"pith:7QREGVK4","canonical_record":{"source":{"id":"2102.10838","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2021-02-22T09:00:41Z","cross_cats_sorted":[],"title_canon_sha256":"de9f4582483b9890b8f9cdfc98f968ec67219aef9a6316570a9058aac1f47e94","abstract_canon_sha256":"ef8366dd528063abb4fa700c7cb4c6cc57f71c1e81720d9f288d2b86ec5a72d3"},"schema_version":"1.0"},"canonical_sha256":"fc2243555cebebbf8f76a9e91f361e41977e2d4f1a7be698540965a54a50d271","source":{"kind":"arxiv","id":"2102.10838","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.10838","created_at":"2026-07-05T03:13:49Z"},{"alias_kind":"arxiv_version","alias_value":"2102.10838v1","created_at":"2026-07-05T03:13:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.10838","created_at":"2026-07-05T03:13:49Z"},{"alias_kind":"pith_short_12","alias_value":"7QREGVK45PV3","created_at":"2026-07-05T03:13:49Z"},{"alias_kind":"pith_short_16","alias_value":"7QREGVK45PV37D3W","created_at":"2026-07-05T03:13:49Z"},{"alias_kind":"pith_short_8","alias_value":"7QREGVK4","created_at":"2026-07-05T03:13:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:7QREGVK45PV37D3WVHUR6NQ6IG","target":"record","payload":{"canonical_record":{"source":{"id":"2102.10838","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2021-02-22T09:00:41Z","cross_cats_sorted":[],"title_canon_sha256":"de9f4582483b9890b8f9cdfc98f968ec67219aef9a6316570a9058aac1f47e94","abstract_canon_sha256":"ef8366dd528063abb4fa700c7cb4c6cc57f71c1e81720d9f288d2b86ec5a72d3"},"schema_version":"1.0"},"canonical_sha256":"fc2243555cebebbf8f76a9e91f361e41977e2d4f1a7be698540965a54a50d271","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:13:49.021395Z","signature_b64":"UlyWZp50vBtxwWER64giBIIROrEj76EbWiizHEaOCNgNuioug62rn4geTTN3dUi2Fdo5VRubkRXVF5LD018cCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fc2243555cebebbf8f76a9e91f361e41977e2d4f1a7be698540965a54a50d271","last_reissued_at":"2026-07-05T03:13:49.020932Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:13:49.020932Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2102.10838","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:13:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5eI7kygqcswD3CQLf08Tmh6cVgWms1URFpSfKh8YBBTIcTSwqMyQIgkZHhSS0z+WRY8c/PN5xFntnu3rUQKUCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T04:12:52.706444Z"},"content_sha256":"9169dbc5458c58e999dda08dbc6ad542ea039db63169d6cf8c562b68ec032341","schema_version":"1.0","event_id":"sha256:9169dbc5458c58e999dda08dbc6ad542ea039db63169d6cf8c562b68ec032341"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:7QREGVK45PV37D3WVHUR6NQ6IG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A bi-atrial statistical shape model for large-scale in silico studies of human atria: model development and application to ECG simulations","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Axel Loewe, Claudia Nagel, Olaf D\\\"ossel, Steffen Schuler","submitted_at":"2021-02-22T09:00:41Z","abstract_excerpt":"Large-scale electrophysiological simulations to obtain electrocardiograms (ECG) carry the potential to produce extensive datasets for training of machine learning classifiers to, e.g., discriminate between different cardiac pathologies. The adoption of simulations for these purposes is limited due to a lack of ready-to-use models covering atrial anatomical variability. We built a bi-atrial statistical shape model (SSM) of the endocardial wall based on 47 segmented human CT and MRI datasets using Gaussian process morphable models. Generalization, specificity, and compactness metrics were evalua"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.10838","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/2102.10838/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:13:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5dS+3BuwPXQW3CldJHNyP+K80YrdJEcbLgsO1RfjXym22OFkYpfIhVOpxgAejEOp2pbcWTwcnVYzlR7GlQMBCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T04:12:52.707518Z"},"content_sha256":"23850858cc531289a2ce3398307e59e3370f540c7c72474164045da939634fd8","schema_version":"1.0","event_id":"sha256:23850858cc531289a2ce3398307e59e3370f540c7c72474164045da939634fd8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7QREGVK45PV37D3WVHUR6NQ6IG/bundle.json","state_url":"https://pith.science/pith/7QREGVK45PV37D3WVHUR6NQ6IG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7QREGVK45PV37D3WVHUR6NQ6IG/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":"2026-08-18T04:12:52Z","links":{"resolver":"https://pith.science/pith/7QREGVK45PV37D3WVHUR6NQ6IG","bundle":"https://pith.science/pith/7QREGVK45PV37D3WVHUR6NQ6IG/bundle.json","state":"https://pith.science/pith/7QREGVK45PV37D3WVHUR6NQ6IG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7QREGVK45PV37D3WVHUR6NQ6IG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:7QREGVK45PV37D3WVHUR6NQ6IG","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":"ef8366dd528063abb4fa700c7cb4c6cc57f71c1e81720d9f288d2b86ec5a72d3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2021-02-22T09:00:41Z","title_canon_sha256":"de9f4582483b9890b8f9cdfc98f968ec67219aef9a6316570a9058aac1f47e94"},"schema_version":"1.0","source":{"id":"2102.10838","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.10838","created_at":"2026-07-05T03:13:49Z"},{"alias_kind":"arxiv_version","alias_value":"2102.10838v1","created_at":"2026-07-05T03:13:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.10838","created_at":"2026-07-05T03:13:49Z"},{"alias_kind":"pith_short_12","alias_value":"7QREGVK45PV3","created_at":"2026-07-05T03:13:49Z"},{"alias_kind":"pith_short_16","alias_value":"7QREGVK45PV37D3W","created_at":"2026-07-05T03:13:49Z"},{"alias_kind":"pith_short_8","alias_value":"7QREGVK4","created_at":"2026-07-05T03:13:49Z"}],"graph_snapshots":[{"event_id":"sha256:23850858cc531289a2ce3398307e59e3370f540c7c72474164045da939634fd8","target":"graph","created_at":"2026-07-05T03:13:49Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2102.10838/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large-scale electrophysiological simulations to obtain electrocardiograms (ECG) carry the potential to produce extensive datasets for training of machine learning classifiers to, e.g., discriminate between different cardiac pathologies. The adoption of simulations for these purposes is limited due to a lack of ready-to-use models covering atrial anatomical variability. We built a bi-atrial statistical shape model (SSM) of the endocardial wall based on 47 segmented human CT and MRI datasets using Gaussian process morphable models. Generalization, specificity, and compactness metrics were evalua","authors_text":"Axel Loewe, Claudia Nagel, Olaf D\\\"ossel, Steffen Schuler","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2021-02-22T09:00:41Z","title":"A bi-atrial statistical shape model for large-scale in silico studies of human atria: model development and application to ECG simulations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.10838","kind":"arxiv","version":1},"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":"sha256:9169dbc5458c58e999dda08dbc6ad542ea039db63169d6cf8c562b68ec032341","target":"record","created_at":"2026-07-05T03:13:49Z","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":"ef8366dd528063abb4fa700c7cb4c6cc57f71c1e81720d9f288d2b86ec5a72d3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.SP","submitted_at":"2021-02-22T09:00:41Z","title_canon_sha256":"de9f4582483b9890b8f9cdfc98f968ec67219aef9a6316570a9058aac1f47e94"},"schema_version":"1.0","source":{"id":"2102.10838","kind":"arxiv","version":1}},"canonical_sha256":"fc2243555cebebbf8f76a9e91f361e41977e2d4f1a7be698540965a54a50d271","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fc2243555cebebbf8f76a9e91f361e41977e2d4f1a7be698540965a54a50d271","first_computed_at":"2026-07-05T03:13:49.020932Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:13:49.020932Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UlyWZp50vBtxwWER64giBIIROrEj76EbWiizHEaOCNgNuioug62rn4geTTN3dUi2Fdo5VRubkRXVF5LD018cCA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:13:49.021395Z","signed_message":"canonical_sha256_bytes"},"source_id":"2102.10838","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9169dbc5458c58e999dda08dbc6ad542ea039db63169d6cf8c562b68ec032341","sha256:23850858cc531289a2ce3398307e59e3370f540c7c72474164045da939634fd8"],"state_sha256":"606c570ebb0224ee5400d76e927c1b8bccae16bd516abe2f8d06af25e632baa3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5j9wxeoH6QqpWNQoWKpAj6pgH+qAJWbHRk0fcZLbntYsvQ5Not+sNzOGuqpDOEvv3jWQ5JSXuc4XtfjDhRCkCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T04:12:52.715529Z","bundle_sha256":"4d1ccdb326e094cfff2b5b1813bf71d0fb604351dc59bdd4abfe5a95a4eafd49"}}