{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:MMYV3SQ4GORZI6UDGFTFEA3WZX","short_pith_number":"pith:MMYV3SQ4","canonical_record":{"source":{"id":"2509.08961","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-09-10T19:48:07Z","cross_cats_sorted":[],"title_canon_sha256":"af062c0006064a787e3308dac4276790c311f99872be175867258b0ff8f8b472","abstract_canon_sha256":"cd892c2e12d705687396a40bddccf7607321fd6339b254c6df43f1c3a6408085"},"schema_version":"1.0"},"canonical_sha256":"63315dca1c33a3947a833166520376cdde4d69a17669b7a18ec607b778e3357e","source":{"kind":"arxiv","id":"2509.08961","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.08961","created_at":"2026-07-05T12:09:26Z"},{"alias_kind":"arxiv_version","alias_value":"2509.08961v1","created_at":"2026-07-05T12:09:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.08961","created_at":"2026-07-05T12:09:26Z"},{"alias_kind":"pith_short_12","alias_value":"MMYV3SQ4GORZ","created_at":"2026-07-05T12:09:26Z"},{"alias_kind":"pith_short_16","alias_value":"MMYV3SQ4GORZI6UD","created_at":"2026-07-05T12:09:26Z"},{"alias_kind":"pith_short_8","alias_value":"MMYV3SQ4","created_at":"2026-07-05T12:09:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:MMYV3SQ4GORZI6UDGFTFEA3WZX","target":"record","payload":{"canonical_record":{"source":{"id":"2509.08961","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-09-10T19:48:07Z","cross_cats_sorted":[],"title_canon_sha256":"af062c0006064a787e3308dac4276790c311f99872be175867258b0ff8f8b472","abstract_canon_sha256":"cd892c2e12d705687396a40bddccf7607321fd6339b254c6df43f1c3a6408085"},"schema_version":"1.0"},"canonical_sha256":"63315dca1c33a3947a833166520376cdde4d69a17669b7a18ec607b778e3357e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:09:26.246145Z","signature_b64":"uN921ht8/RePvqsC3WqBENh98/DonFWlQWAuLCrDi7UNM+vwG5B9omKh59OtY83n3lveuX9BwptZBD/Rr6QvAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"63315dca1c33a3947a833166520376cdde4d69a17669b7a18ec607b778e3357e","last_reissued_at":"2026-07-05T12:09:26.245610Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:09:26.245610Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.08961","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":"2026-07-05T12:09:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"flm1hUAMW8tNvxUBrYZkLOobtYZnbw4YUNF2aHgUiMtiXlGfo2B1wUBngxuFWLaxzcrNVeqXTC0e1DKQgK/bAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T15:01:10.947335Z"},"content_sha256":"6af567496a8e3955bc9b933d2e5b2665d38187fbb6c382b0b17a0fdb667adee9","schema_version":"1.0","event_id":"sha256:6af567496a8e3955bc9b933d2e5b2665d38187fbb6c382b0b17a0fdb667adee9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:MMYV3SQ4GORZI6UDGFTFEA3WZX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FoundationalECGNet: A Lightweight Foundational Model for ECG-based Multitask Cardiac Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Md. Golam Raibul Alam, Md Jobayer, Md Mehedi Hasan Shawon, Md. Sajeebul Islam Sk.","submitted_at":"2025-09-10T19:48:07Z","abstract_excerpt":"Cardiovascular diseases (CVDs) remain a leading cause of mortality worldwide, underscoring the importance of accurate and scalable diagnostic systems. Electrocardiogram (ECG) analysis is central to detecting cardiac abnormalities, yet challenges such as noise, class imbalance, and dataset heterogeneity limit current methods. To address these issues, we propose FoundationalECGNet, a foundational framework for automated ECG classification. The model integrates a dual-stage denoising by Morlet and Daubechies wavelets transformation, Convolutional Block Attention Module (CBAM), Graph Attention Net"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.08961","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/2509.08961/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":"2026-07-05T12:09:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mDf80m+U8j+u1KtHpllcCBc+cYdiJa993lTM5jqHFzXVBzUu44G9Vae8pI/ocxutTcRgDgLxmNEa3EHU10yPDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T15:01:10.947843Z"},"content_sha256":"fe9c2ebef02b5ddb5cbe586e37bfaa49d782c34f6e177936cc71398527f12602","schema_version":"1.0","event_id":"sha256:fe9c2ebef02b5ddb5cbe586e37bfaa49d782c34f6e177936cc71398527f12602"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MMYV3SQ4GORZI6UDGFTFEA3WZX/bundle.json","state_url":"https://pith.science/pith/MMYV3SQ4GORZI6UDGFTFEA3WZX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MMYV3SQ4GORZI6UDGFTFEA3WZX/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":"2026-08-06T15:01:10Z","links":{"resolver":"https://pith.science/pith/MMYV3SQ4GORZI6UDGFTFEA3WZX","bundle":"https://pith.science/pith/MMYV3SQ4GORZI6UDGFTFEA3WZX/bundle.json","state":"https://pith.science/pith/MMYV3SQ4GORZI6UDGFTFEA3WZX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MMYV3SQ4GORZI6UDGFTFEA3WZX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:MMYV3SQ4GORZI6UDGFTFEA3WZX","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":"cd892c2e12d705687396a40bddccf7607321fd6339b254c6df43f1c3a6408085","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-09-10T19:48:07Z","title_canon_sha256":"af062c0006064a787e3308dac4276790c311f99872be175867258b0ff8f8b472"},"schema_version":"1.0","source":{"id":"2509.08961","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.08961","created_at":"2026-07-05T12:09:26Z"},{"alias_kind":"arxiv_version","alias_value":"2509.08961v1","created_at":"2026-07-05T12:09:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.08961","created_at":"2026-07-05T12:09:26Z"},{"alias_kind":"pith_short_12","alias_value":"MMYV3SQ4GORZ","created_at":"2026-07-05T12:09:26Z"},{"alias_kind":"pith_short_16","alias_value":"MMYV3SQ4GORZI6UD","created_at":"2026-07-05T12:09:26Z"},{"alias_kind":"pith_short_8","alias_value":"MMYV3SQ4","created_at":"2026-07-05T12:09:26Z"}],"graph_snapshots":[{"event_id":"sha256:fe9c2ebef02b5ddb5cbe586e37bfaa49d782c34f6e177936cc71398527f12602","target":"graph","created_at":"2026-07-05T12:09:26Z","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/2509.08961/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cardiovascular diseases (CVDs) remain a leading cause of mortality worldwide, underscoring the importance of accurate and scalable diagnostic systems. Electrocardiogram (ECG) analysis is central to detecting cardiac abnormalities, yet challenges such as noise, class imbalance, and dataset heterogeneity limit current methods. To address these issues, we propose FoundationalECGNet, a foundational framework for automated ECG classification. The model integrates a dual-stage denoising by Morlet and Daubechies wavelets transformation, Convolutional Block Attention Module (CBAM), Graph Attention Net","authors_text":"Md. Golam Raibul Alam, Md Jobayer, Md Mehedi Hasan Shawon, Md. Sajeebul Islam Sk.","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-09-10T19:48:07Z","title":"FoundationalECGNet: A Lightweight Foundational Model for ECG-based Multitask Cardiac Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.08961","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":"sha256:6af567496a8e3955bc9b933d2e5b2665d38187fbb6c382b0b17a0fdb667adee9","target":"record","created_at":"2026-07-05T12:09:26Z","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":"cd892c2e12d705687396a40bddccf7607321fd6339b254c6df43f1c3a6408085","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-09-10T19:48:07Z","title_canon_sha256":"af062c0006064a787e3308dac4276790c311f99872be175867258b0ff8f8b472"},"schema_version":"1.0","source":{"id":"2509.08961","kind":"arxiv","version":1}},"canonical_sha256":"63315dca1c33a3947a833166520376cdde4d69a17669b7a18ec607b778e3357e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"63315dca1c33a3947a833166520376cdde4d69a17669b7a18ec607b778e3357e","first_computed_at":"2026-07-05T12:09:26.245610Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:09:26.245610Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uN921ht8/RePvqsC3WqBENh98/DonFWlQWAuLCrDi7UNM+vwG5B9omKh59OtY83n3lveuX9BwptZBD/Rr6QvAg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:09:26.246145Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.08961","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6af567496a8e3955bc9b933d2e5b2665d38187fbb6c382b0b17a0fdb667adee9","sha256:fe9c2ebef02b5ddb5cbe586e37bfaa49d782c34f6e177936cc71398527f12602"],"state_sha256":"ff4f9a2ed9394ad7767c1b5dc4a4eaece4f2846ae63dfec106907d1d12a344b0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+vaRQzE7Ki9p5ZzP3AFaV/qUxP8WCv4p3Coa2g4vMsmPWhn6ohHKwzXl2u0O3LRBMS41GYXfHo1kbWbXCm1pBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T15:01:10.951575Z","bundle_sha256":"b309bbdf4ac5a146f6dea10f5d7a19aacec699fe13f1a1a17fdfb7b4f619d906"}}