{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:3TN2YL37HYSBLXVKF532PCVIQD","short_pith_number":"pith:3TN2YL37","canonical_record":{"source":{"id":"2101.07606","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2021-01-19T13:09:29Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"e4fa72808551f26172c99ae047fa88268bc519465db9fb08d18be07cc695f44c","abstract_canon_sha256":"caa0ab0950196da35be94ced1dda2a586b2995e1ccdada43fa8d87767dce1748"},"schema_version":"1.0"},"canonical_sha256":"dcdbac2f7f3e2415deaa2f77a78aa880fdcfedef4f32a512318673757a087924","source":{"kind":"arxiv","id":"2101.07606","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.07606","created_at":"2026-07-05T02:07:59Z"},{"alias_kind":"arxiv_version","alias_value":"2101.07606v1","created_at":"2026-07-05T02:07:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.07606","created_at":"2026-07-05T02:07:59Z"},{"alias_kind":"pith_short_12","alias_value":"3TN2YL37HYSB","created_at":"2026-07-05T02:07:59Z"},{"alias_kind":"pith_short_16","alias_value":"3TN2YL37HYSBLXVK","created_at":"2026-07-05T02:07:59Z"},{"alias_kind":"pith_short_8","alias_value":"3TN2YL37","created_at":"2026-07-05T02:07:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:3TN2YL37HYSBLXVKF532PCVIQD","target":"record","payload":{"canonical_record":{"source":{"id":"2101.07606","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2021-01-19T13:09:29Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"e4fa72808551f26172c99ae047fa88268bc519465db9fb08d18be07cc695f44c","abstract_canon_sha256":"caa0ab0950196da35be94ced1dda2a586b2995e1ccdada43fa8d87767dce1748"},"schema_version":"1.0"},"canonical_sha256":"dcdbac2f7f3e2415deaa2f77a78aa880fdcfedef4f32a512318673757a087924","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:07:59.525887Z","signature_b64":"gYMSbiMf+plYUa7/8fPpStMlJSw2BYphkWenNPmzuLr5Fu7EaXPmDwbhtb4iKCQvrTd/yoqRW503j801MjjwBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dcdbac2f7f3e2415deaa2f77a78aa880fdcfedef4f32a512318673757a087924","last_reissued_at":"2026-07-05T02:07:59.525435Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:07:59.525435Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2101.07606","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":"2026-07-05T02:07:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2jFfgbJLIq+SEGPuL34W14rO4P5Vq6kISCNEx5pcfVzgmy7muPFRCnQoDgy7QeghPAdFvglqV4cEBjfe9YxgDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T11:02:17.689842Z"},"content_sha256":"66675a9ec36c5727ed39a03b5c4384e679ab33d77edb72703fe60bcce287863d","schema_version":"1.0","event_id":"sha256:66675a9ec36c5727ed39a03b5c4384e679ab33d77edb72703fe60bcce287863d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:3TN2YL37HYSBLXVKF532PCVIQD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Learning Models for Calculation of Cardiothoracic Ratio from Chest Radiographs for Assisted Diagnosis of Cardiomegaly","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Amit Kharat, Aniruddha Pant, Manish Gawali, Mrunmai Niljikar, Tanveer Gupte, Viraj Kulkarni","submitted_at":"2021-01-19T13:09:29Z","abstract_excerpt":"We propose an automated method based on deep learning to compute the cardiothoracic ratio and detect the presence of cardiomegaly from chest radiographs. We develop two separate models to demarcate the heart and chest regions in an X-ray image using bounding boxes and use their outputs to calculate the cardiothoracic ratio. We obtain a sensitivity of 0.96 at a specificity of 0.81 with a mean absolute error of 0.0209 on a held-out test dataset and a sensitivity of 0.84 at a specificity of 0.97 with a mean absolute error of 0.018 on an independent dataset from a different hospital. We also compa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.07606","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/2101.07606/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":"2026-07-05T02:07:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EL4aqvOz0m3B0Bt1mlRihzwnHLLY0g+HqzMWTiNzcp22QEa2b1C8WiMfYMoWQTOyFFf1ZX4c6XBwXg/qU6c7Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T11:02:17.690215Z"},"content_sha256":"47ac9aeb3e37037ca28304652ca2345fa1860c47cdb6a0e824234c43d7f263d1","schema_version":"1.0","event_id":"sha256:47ac9aeb3e37037ca28304652ca2345fa1860c47cdb6a0e824234c43d7f263d1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3TN2YL37HYSBLXVKF532PCVIQD/bundle.json","state_url":"https://pith.science/pith/3TN2YL37HYSBLXVKF532PCVIQD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3TN2YL37HYSBLXVKF532PCVIQD/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":"2026-07-05T11:02:17Z","links":{"resolver":"https://pith.science/pith/3TN2YL37HYSBLXVKF532PCVIQD","bundle":"https://pith.science/pith/3TN2YL37HYSBLXVKF532PCVIQD/bundle.json","state":"https://pith.science/pith/3TN2YL37HYSBLXVKF532PCVIQD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3TN2YL37HYSBLXVKF532PCVIQD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:3TN2YL37HYSBLXVKF532PCVIQD","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":"caa0ab0950196da35be94ced1dda2a586b2995e1ccdada43fa8d87767dce1748","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2021-01-19T13:09:29Z","title_canon_sha256":"e4fa72808551f26172c99ae047fa88268bc519465db9fb08d18be07cc695f44c"},"schema_version":"1.0","source":{"id":"2101.07606","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.07606","created_at":"2026-07-05T02:07:59Z"},{"alias_kind":"arxiv_version","alias_value":"2101.07606v1","created_at":"2026-07-05T02:07:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.07606","created_at":"2026-07-05T02:07:59Z"},{"alias_kind":"pith_short_12","alias_value":"3TN2YL37HYSB","created_at":"2026-07-05T02:07:59Z"},{"alias_kind":"pith_short_16","alias_value":"3TN2YL37HYSBLXVK","created_at":"2026-07-05T02:07:59Z"},{"alias_kind":"pith_short_8","alias_value":"3TN2YL37","created_at":"2026-07-05T02:07:59Z"}],"graph_snapshots":[{"event_id":"sha256:47ac9aeb3e37037ca28304652ca2345fa1860c47cdb6a0e824234c43d7f263d1","target":"graph","created_at":"2026-07-05T02:07:59Z","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/2101.07606/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose an automated method based on deep learning to compute the cardiothoracic ratio and detect the presence of cardiomegaly from chest radiographs. We develop two separate models to demarcate the heart and chest regions in an X-ray image using bounding boxes and use their outputs to calculate the cardiothoracic ratio. We obtain a sensitivity of 0.96 at a specificity of 0.81 with a mean absolute error of 0.0209 on a held-out test dataset and a sensitivity of 0.84 at a specificity of 0.97 with a mean absolute error of 0.018 on an independent dataset from a different hospital. We also compa","authors_text":"Amit Kharat, Aniruddha Pant, Manish Gawali, Mrunmai Niljikar, Tanveer Gupte, Viraj Kulkarni","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2021-01-19T13:09:29Z","title":"Deep Learning Models for Calculation of Cardiothoracic Ratio from Chest Radiographs for Assisted Diagnosis of Cardiomegaly"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.07606","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":"sha256:66675a9ec36c5727ed39a03b5c4384e679ab33d77edb72703fe60bcce287863d","target":"record","created_at":"2026-07-05T02:07:59Z","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":"caa0ab0950196da35be94ced1dda2a586b2995e1ccdada43fa8d87767dce1748","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2021-01-19T13:09:29Z","title_canon_sha256":"e4fa72808551f26172c99ae047fa88268bc519465db9fb08d18be07cc695f44c"},"schema_version":"1.0","source":{"id":"2101.07606","kind":"arxiv","version":1}},"canonical_sha256":"dcdbac2f7f3e2415deaa2f77a78aa880fdcfedef4f32a512318673757a087924","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dcdbac2f7f3e2415deaa2f77a78aa880fdcfedef4f32a512318673757a087924","first_computed_at":"2026-07-05T02:07:59.525435Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:07:59.525435Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gYMSbiMf+plYUa7/8fPpStMlJSw2BYphkWenNPmzuLr5Fu7EaXPmDwbhtb4iKCQvrTd/yoqRW503j801MjjwBA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:07:59.525887Z","signed_message":"canonical_sha256_bytes"},"source_id":"2101.07606","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:66675a9ec36c5727ed39a03b5c4384e679ab33d77edb72703fe60bcce287863d","sha256:47ac9aeb3e37037ca28304652ca2345fa1860c47cdb6a0e824234c43d7f263d1"],"state_sha256":"f34c194eb9c7569700b2716ceb20568cfd5053a73ac33f1a397ac43ad5b6fd2c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gj0Gh3DteTpA7eKzYqwwZndnA/MvhkTq/aPqr8z1sRZIqrLRXdXrCfslt+k1BbGXitCy07meRJrZeUH0C0guAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T11:02:17.692272Z","bundle_sha256":"047724d3cce26dba9ed71af08b3fd020346b772bf6f1e071be88fb5d4fcc768d"}}