{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:TOSAZ22ZRWBW45CKITNWJLCB72","short_pith_number":"pith:TOSAZ22Z","canonical_record":{"source":{"id":"2310.05848","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-06T17:20:11Z","cross_cats_sorted":["cs.AI","eess.SP"],"title_canon_sha256":"d12297152edcc99f186e3055b5537ec4a774924d804e78f4f78bd553d08abe9c","abstract_canon_sha256":"451748b03c8be552d09d088e5cf6ae03e10a101cead5511caef700a7b178f9b0"},"schema_version":"1.0"},"canonical_sha256":"9ba40ceb598d836e744a44db64ac41fe915c96f6a6e264d0a3fe7c56f708d1b8","source":{"kind":"arxiv","id":"2310.05848","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.05848","created_at":"2026-07-05T06:58:50Z"},{"alias_kind":"arxiv_version","alias_value":"2310.05848v1","created_at":"2026-07-05T06:58:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.05848","created_at":"2026-07-05T06:58:50Z"},{"alias_kind":"pith_short_12","alias_value":"TOSAZ22ZRWBW","created_at":"2026-07-05T06:58:50Z"},{"alias_kind":"pith_short_16","alias_value":"TOSAZ22ZRWBW45CK","created_at":"2026-07-05T06:58:50Z"},{"alias_kind":"pith_short_8","alias_value":"TOSAZ22Z","created_at":"2026-07-05T06:58:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:TOSAZ22ZRWBW45CKITNWJLCB72","target":"record","payload":{"canonical_record":{"source":{"id":"2310.05848","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-06T17:20:11Z","cross_cats_sorted":["cs.AI","eess.SP"],"title_canon_sha256":"d12297152edcc99f186e3055b5537ec4a774924d804e78f4f78bd553d08abe9c","abstract_canon_sha256":"451748b03c8be552d09d088e5cf6ae03e10a101cead5511caef700a7b178f9b0"},"schema_version":"1.0"},"canonical_sha256":"9ba40ceb598d836e744a44db64ac41fe915c96f6a6e264d0a3fe7c56f708d1b8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:58:50.668225Z","signature_b64":"bcp/lFgP9jefITH1Ax327DAlR2jhFtCQ4qqK7C0TJ7Vo5L0MhGmFSdh1+KaMmnaxm2kiz4tW6txC0uB5YpjDCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9ba40ceb598d836e744a44db64ac41fe915c96f6a6e264d0a3fe7c56f708d1b8","last_reissued_at":"2026-07-05T06:58:50.667690Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:58:50.667690Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.05848","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":"2026-07-05T06:58:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mS3kBGOWLSvIaWVm73tK5tF0kYG1eEQ4+BZZI6fjgOTHw6nZq8NfqcrBdEe2T0NSryvNedb07gn6SQ6mABnuBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-22T02:57:14.535503Z"},"content_sha256":"11662de5fe0b918d9e0234f7dd35a2108893c2f8e7a29b92c48ebfc40f652b90","schema_version":"1.0","event_id":"sha256:11662de5fe0b918d9e0234f7dd35a2108893c2f8e7a29b92c48ebfc40f652b90"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:TOSAZ22ZRWBW45CKITNWJLCB72","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FMM-Head: Enhancing Autoencoder-based ECG anomaly detection with prior knowledge","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","eess.SP"],"primary_cat":"cs.LG","authors_text":"Dejan Kostic, Gerald Q. Maguire Jr., Giacomo Verardo, Magnus Boman, Marco Chiesa, Sabine Koch, Samuel Bruchfeld","submitted_at":"2023-10-06T17:20:11Z","abstract_excerpt":"Detecting anomalies in electrocardiogram data is crucial to identifying deviations from normal heartbeat patterns and providing timely intervention to at-risk patients. Various AutoEncoder models (AE) have been proposed to tackle the anomaly detection task with ML. However, these models do not consider the specific patterns of ECG leads and are unexplainable black boxes. In contrast, we replace the decoding part of the AE with a reconstruction head (namely, FMM-Head) based on prior knowledge of the ECG shape. Our model consistently achieves higher anomaly detection capabilities than state-of-t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.05848","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/2310.05848/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":"2026-07-05T06:58:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Kpu5p+xvbrv7ewGx0GDBvDlAu5EIgg26U5zLEze6unnxoCD3jPaaDtPZ8uLmuKtmzv0lIfjQUCOKpO2wnIxHAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-22T02:57:14.535882Z"},"content_sha256":"4fd8388eb72ee0f7d6d19946a83432f9f0d3754cd4a7a1f751207ed9e63a88f3","schema_version":"1.0","event_id":"sha256:4fd8388eb72ee0f7d6d19946a83432f9f0d3754cd4a7a1f751207ed9e63a88f3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TOSAZ22ZRWBW45CKITNWJLCB72/bundle.json","state_url":"https://pith.science/pith/TOSAZ22ZRWBW45CKITNWJLCB72/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TOSAZ22ZRWBW45CKITNWJLCB72/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":"2026-07-22T02:57:14Z","links":{"resolver":"https://pith.science/pith/TOSAZ22ZRWBW45CKITNWJLCB72","bundle":"https://pith.science/pith/TOSAZ22ZRWBW45CKITNWJLCB72/bundle.json","state":"https://pith.science/pith/TOSAZ22ZRWBW45CKITNWJLCB72/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TOSAZ22ZRWBW45CKITNWJLCB72/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:TOSAZ22ZRWBW45CKITNWJLCB72","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":"451748b03c8be552d09d088e5cf6ae03e10a101cead5511caef700a7b178f9b0","cross_cats_sorted":["cs.AI","eess.SP"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-06T17:20:11Z","title_canon_sha256":"d12297152edcc99f186e3055b5537ec4a774924d804e78f4f78bd553d08abe9c"},"schema_version":"1.0","source":{"id":"2310.05848","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.05848","created_at":"2026-07-05T06:58:50Z"},{"alias_kind":"arxiv_version","alias_value":"2310.05848v1","created_at":"2026-07-05T06:58:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.05848","created_at":"2026-07-05T06:58:50Z"},{"alias_kind":"pith_short_12","alias_value":"TOSAZ22ZRWBW","created_at":"2026-07-05T06:58:50Z"},{"alias_kind":"pith_short_16","alias_value":"TOSAZ22ZRWBW45CK","created_at":"2026-07-05T06:58:50Z"},{"alias_kind":"pith_short_8","alias_value":"TOSAZ22Z","created_at":"2026-07-05T06:58:50Z"}],"graph_snapshots":[{"event_id":"sha256:4fd8388eb72ee0f7d6d19946a83432f9f0d3754cd4a7a1f751207ed9e63a88f3","target":"graph","created_at":"2026-07-05T06:58:50Z","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/2310.05848/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Detecting anomalies in electrocardiogram data is crucial to identifying deviations from normal heartbeat patterns and providing timely intervention to at-risk patients. Various AutoEncoder models (AE) have been proposed to tackle the anomaly detection task with ML. However, these models do not consider the specific patterns of ECG leads and are unexplainable black boxes. In contrast, we replace the decoding part of the AE with a reconstruction head (namely, FMM-Head) based on prior knowledge of the ECG shape. Our model consistently achieves higher anomaly detection capabilities than state-of-t","authors_text":"Dejan Kostic, Gerald Q. Maguire Jr., Giacomo Verardo, Magnus Boman, Marco Chiesa, Sabine Koch, Samuel Bruchfeld","cross_cats":["cs.AI","eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-06T17:20:11Z","title":"FMM-Head: Enhancing Autoencoder-based ECG anomaly detection with prior knowledge"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.05848","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":"sha256:11662de5fe0b918d9e0234f7dd35a2108893c2f8e7a29b92c48ebfc40f652b90","target":"record","created_at":"2026-07-05T06:58:50Z","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":"451748b03c8be552d09d088e5cf6ae03e10a101cead5511caef700a7b178f9b0","cross_cats_sorted":["cs.AI","eess.SP"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2023-10-06T17:20:11Z","title_canon_sha256":"d12297152edcc99f186e3055b5537ec4a774924d804e78f4f78bd553d08abe9c"},"schema_version":"1.0","source":{"id":"2310.05848","kind":"arxiv","version":1}},"canonical_sha256":"9ba40ceb598d836e744a44db64ac41fe915c96f6a6e264d0a3fe7c56f708d1b8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9ba40ceb598d836e744a44db64ac41fe915c96f6a6e264d0a3fe7c56f708d1b8","first_computed_at":"2026-07-05T06:58:50.667690Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:58:50.667690Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bcp/lFgP9jefITH1Ax327DAlR2jhFtCQ4qqK7C0TJ7Vo5L0MhGmFSdh1+KaMmnaxm2kiz4tW6txC0uB5YpjDCw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:58:50.668225Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.05848","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:11662de5fe0b918d9e0234f7dd35a2108893c2f8e7a29b92c48ebfc40f652b90","sha256:4fd8388eb72ee0f7d6d19946a83432f9f0d3754cd4a7a1f751207ed9e63a88f3"],"state_sha256":"b9d2e92b13b02b86a6a6466caf417370626f76a04632ca0abbcd528f31470b05"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AOnT2/5uw2lalnjDeiFvSRjIgC5nIzozXgpLbGP0U2FDyQsBbVeMHKSw4ddMbwcCI/fJ9hTD/clX5TVqnLZ9Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-22T02:57:14.538661Z","bundle_sha256":"bf4fb705f1e00cbb8f86507c62472da438adf8cc3827b452ffe2f2eb4b80f6eb"}}