{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UGXGLEU5CJSLEZ3WMFY2UCRB3I","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":"f1eb382c11c2011bdde3887739a3cef0172481ba2e48ee7347104935186f6b80","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-06T11:18:31Z","title_canon_sha256":"82270584515ec06d3df49cc253b7be36814f32007da97d9d92328ca41354e649"},"schema_version":"1.0","source":{"id":"2608.05893","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.05893","created_at":"2026-08-07T00:53:13Z"},{"alias_kind":"arxiv_version","alias_value":"2608.05893v1","created_at":"2026-08-07T00:53:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.05893","created_at":"2026-08-07T00:53:13Z"},{"alias_kind":"pith_short_12","alias_value":"UGXGLEU5CJSL","created_at":"2026-08-07T00:53:13Z"},{"alias_kind":"pith_short_16","alias_value":"UGXGLEU5CJSLEZ3W","created_at":"2026-08-07T00:53:13Z"},{"alias_kind":"pith_short_8","alias_value":"UGXGLEU5","created_at":"2026-08-07T00:53:13Z"}],"graph_snapshots":[{"event_id":"sha256:ca5ddac902a5de3b4afcc58bf360079d87682dcb4e8dafaa50adf137069a4cb8","target":"graph","created_at":"2026-08-07T00:53:13Z","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/2608.05893/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Electrocardiography (ECG) is one of the most widely used non-invasive tools for diagnosing cardiovascular disease, but transforming multi-lead ECG recordings into reliable clinical reports remains challenging. Automating ECG report generation could reduce clinicians' interpretive workload, improve diagnostic efficiency, and expand access to cardiac assessment in underserved communities. Unlike image-based report-generation tasks, ECG interpretation requires the analysis of subtle temporal morphologies, followed by coherent diagnostic reasoning expressed in dense clinical terminology. Existing ","authors_text":"Ahmed Mahir Sultan Rumi, Akanta Das, Md Mahbubur Rahman, Tanzima Hashem, Tasinul Islam Ahon, Tausif Amim Shadly","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-06T11:18:31Z","title":"ECG-LENS: Lead-Aware Clinical Context Enriched ECG Report Generation and Evaluation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.05893","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":"sha256:4091396c2eac21a24bed5ae6ed8d2671309b72986cf5ec4f82f95207efde8435","target":"record","created_at":"2026-08-07T00:53:13Z","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":"f1eb382c11c2011bdde3887739a3cef0172481ba2e48ee7347104935186f6b80","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-06T11:18:31Z","title_canon_sha256":"82270584515ec06d3df49cc253b7be36814f32007da97d9d92328ca41354e649"},"schema_version":"1.0","source":{"id":"2608.05893","kind":"arxiv","version":1}},"canonical_sha256":"a1ae65929d1264b267766171aa0a21da1ac8d791e758455745b51732b5eea3d7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a1ae65929d1264b267766171aa0a21da1ac8d791e758455745b51732b5eea3d7","first_computed_at":"2026-08-07T00:53:13.204044Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-07T00:53:13.204044Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XUaCFyUJg5qt+TBR1lSzTk+pSkZhPbxmGOhJjWfGk8Ow9Qm68p61SgR9A9wF2kxSdqi/B3SU6Sh/rlKxelo2Bw==","signature_status":"signed_v1","signed_at":"2026-08-07T00:53:13.205453Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.05893","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4091396c2eac21a24bed5ae6ed8d2671309b72986cf5ec4f82f95207efde8435","sha256:ca5ddac902a5de3b4afcc58bf360079d87682dcb4e8dafaa50adf137069a4cb8"],"state_sha256":"0ad580b10af65d4ac1f2f364e43602e295f18a005f06c0f89e490758bc619c9a"}