{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:3Q4DK4SRIUDWDMMNGCW4JMZW3Q","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":"2788c8ffe046c1878a294b7e7307cce35c00163a9dfedc8ee92f95910aca574c","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-09-16T09:30:13Z","title_canon_sha256":"c4f2be98b832c4678e6dcdad505e5996d0fcc54ac9d9c9584f3d6c043fec64a8"},"schema_version":"1.0","source":{"id":"2209.08095","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.08095","created_at":"2026-07-05T04:58:17Z"},{"alias_kind":"arxiv_version","alias_value":"2209.08095v1","created_at":"2026-07-05T04:58:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.08095","created_at":"2026-07-05T04:58:17Z"},{"alias_kind":"pith_short_12","alias_value":"3Q4DK4SRIUDW","created_at":"2026-07-05T04:58:17Z"},{"alias_kind":"pith_short_16","alias_value":"3Q4DK4SRIUDWDMMN","created_at":"2026-07-05T04:58:17Z"},{"alias_kind":"pith_short_8","alias_value":"3Q4DK4SR","created_at":"2026-07-05T04:58:17Z"}],"graph_snapshots":[{"event_id":"sha256:86d8a8e78b4a2a1556967b2f1f2011b84e1a40d862f800cd9d248369e1b1dd86","target":"graph","created_at":"2026-07-05T04:58:17Z","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/2209.08095/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Ventricular tachycardia (VT) can be one cause of sudden cardiac death affecting 4.25 million persons per year worldwide. A curative treatment is catheter ablation in order to inactivate the abnormally triggering regions. To facilitate and expedite the localization during the ablation procedure, we present two novel localization techniques based on convolutional neural networks (CNNs). In contrast to existing methods, e.g. using ECG imaging, our approaches were designed to be independent of the patient-specific geometries and directly applicable to surface ECG signals, while also delivering a b","authors_text":"Axel Loewe, Danila Potyagaylo, Gerald Moik, Maike Rees, Nicolas Pilia, Olaf D\\\"ossel, Steffen Schuler","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-09-16T09:30:13Z","title":"Non-invasive Localization of the Ventricular Excitation Origin Without Patient-specific Geometries Using Deep Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.08095","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:f392d6944359f352e1e20eab0e240d76cd8536d8a0bb5b91a4021c036961d666","target":"record","created_at":"2026-07-05T04:58:17Z","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":"2788c8ffe046c1878a294b7e7307cce35c00163a9dfedc8ee92f95910aca574c","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-09-16T09:30:13Z","title_canon_sha256":"c4f2be98b832c4678e6dcdad505e5996d0fcc54ac9d9c9584f3d6c043fec64a8"},"schema_version":"1.0","source":{"id":"2209.08095","kind":"arxiv","version":1}},"canonical_sha256":"dc38357251450761b18d30adc4b336dc0255428af18153c0568d94582982b707","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dc38357251450761b18d30adc4b336dc0255428af18153c0568d94582982b707","first_computed_at":"2026-07-05T04:58:17.063326Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:58:17.063326Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YHY6DD9hkxuJfPe96oQM1kPY8MXibmCPkld4mkSmyZjQWQgIXwig2zSNFjSB+2WL9wGxaJBthKva11StH3rvDA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:58:17.063794Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.08095","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f392d6944359f352e1e20eab0e240d76cd8536d8a0bb5b91a4021c036961d666","sha256:86d8a8e78b4a2a1556967b2f1f2011b84e1a40d862f800cd9d248369e1b1dd86"],"state_sha256":"4deb4a673aa9438c30d1b46b88c21ef9fae1beabc35a77874c43fa77068b1167"}