{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:3NSYPBJOU6JFUJ4HCVN4JTEKGN","short_pith_number":"pith:3NSYPBJO","canonical_record":{"source":{"id":"2007.14895","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-07-29T15:11:34Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"0be1740bf4a5a1f411e62c5d22963b124e554b3ae855f72b1e87033dc87be3d1","abstract_canon_sha256":"7d8efb6b0feb99431f55fbadf4b88034f3559bab5f0e9e94fbaf944e7cb60ab9"},"schema_version":"1.0"},"canonical_sha256":"db6587852ea7925a2787155bc4cc8a334232e0ad66b38fe6101a9485986d21d5","source":{"kind":"arxiv","id":"2007.14895","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.14895","created_at":"2026-07-05T01:45:44Z"},{"alias_kind":"arxiv_version","alias_value":"2007.14895v1","created_at":"2026-07-05T01:45:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.14895","created_at":"2026-07-05T01:45:44Z"},{"alias_kind":"pith_short_12","alias_value":"3NSYPBJOU6JF","created_at":"2026-07-05T01:45:44Z"},{"alias_kind":"pith_short_16","alias_value":"3NSYPBJOU6JFUJ4H","created_at":"2026-07-05T01:45:44Z"},{"alias_kind":"pith_short_8","alias_value":"3NSYPBJO","created_at":"2026-07-05T01:45:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:3NSYPBJOU6JFUJ4HCVN4JTEKGN","target":"record","payload":{"canonical_record":{"source":{"id":"2007.14895","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-07-29T15:11:34Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"0be1740bf4a5a1f411e62c5d22963b124e554b3ae855f72b1e87033dc87be3d1","abstract_canon_sha256":"7d8efb6b0feb99431f55fbadf4b88034f3559bab5f0e9e94fbaf944e7cb60ab9"},"schema_version":"1.0"},"canonical_sha256":"db6587852ea7925a2787155bc4cc8a334232e0ad66b38fe6101a9485986d21d5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:45:44.334495Z","signature_b64":"pEuukl/JNKMg4PjBJlIZEqSTL6vpcEaLcQkEtuP3FqSW/eq5rrxbRdGKjvh4T9aEdr33m+Qv6gEoiAFwSDuvDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"db6587852ea7925a2787155bc4cc8a334232e0ad66b38fe6101a9485986d21d5","last_reissued_at":"2026-07-05T01:45:44.334086Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:45:44.334086Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2007.14895","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":"2026-07-05T01:45:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8vvUFkeXoIlY5NAZLD31EicXJ09T5skCo1GvZr85j+82uIdiu9i+G4wJO+mKNz5mM5HydHpjd9I1C0S0VRDBAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T16:01:22.724715Z"},"content_sha256":"8d419d3c6f6dbdb60fec1fedd8257b556d8070990f07160fe4f5a15c070edd4c","schema_version":"1.0","event_id":"sha256:8d419d3c6f6dbdb60fec1fedd8257b556d8070990f07160fe4f5a15c070edd4c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:3NSYPBJOU6JFUJ4HCVN4JTEKGN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Amith Khandakar, Khandaker F. Islam, Khandaker R. Islam, Mohamed Arselene Ayari, Mohammad T. Islam, Muhammad Abdul Kadir, Muhammad E. H. Chowdhury, Rashid Mazhar, Tahir Hamid, Tawsifur Rahman, Zaid B. Mahbub","submitted_at":"2020-07-29T15:11:34Z","abstract_excerpt":"Tuberculosis (TB) is a chronic lung disease that occurs due to bacterial infection and is one of the top 10 leading causes of death. Accurate and early detection of TB is very important, otherwise, it could be life-threatening. In this work, we have detected TB reliably from the chest X-ray images using image pre-processing, data augmentation, image segmentation, and deep-learning classification techniques. Several public databases were used to create a database of 700 TB infected and 3500 normal chest X-ray images for this study. Nine different deep CNNs (ResNet18, ResNet50, ResNet101, ChexNe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.14895","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/2007.14895/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":"2026-07-05T01:45:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q3mZXQYMCZczzdwgS53mupX4XWpROE5RpkUQ4eWZmjsGyquxvPsaPR85VxYrhTZr2yJmBCNqTr3V3jwFLm7sAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T16:01:22.725086Z"},"content_sha256":"fec9e37539c85a142199c2cef070d6cbe0ca12d440b8606565bf8b55ed337d26","schema_version":"1.0","event_id":"sha256:fec9e37539c85a142199c2cef070d6cbe0ca12d440b8606565bf8b55ed337d26"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3NSYPBJOU6JFUJ4HCVN4JTEKGN/bundle.json","state_url":"https://pith.science/pith/3NSYPBJOU6JFUJ4HCVN4JTEKGN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3NSYPBJOU6JFUJ4HCVN4JTEKGN/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":"2026-07-07T16:01:22Z","links":{"resolver":"https://pith.science/pith/3NSYPBJOU6JFUJ4HCVN4JTEKGN","bundle":"https://pith.science/pith/3NSYPBJOU6JFUJ4HCVN4JTEKGN/bundle.json","state":"https://pith.science/pith/3NSYPBJOU6JFUJ4HCVN4JTEKGN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3NSYPBJOU6JFUJ4HCVN4JTEKGN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:3NSYPBJOU6JFUJ4HCVN4JTEKGN","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":"7d8efb6b0feb99431f55fbadf4b88034f3559bab5f0e9e94fbaf944e7cb60ab9","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-07-29T15:11:34Z","title_canon_sha256":"0be1740bf4a5a1f411e62c5d22963b124e554b3ae855f72b1e87033dc87be3d1"},"schema_version":"1.0","source":{"id":"2007.14895","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.14895","created_at":"2026-07-05T01:45:44Z"},{"alias_kind":"arxiv_version","alias_value":"2007.14895v1","created_at":"2026-07-05T01:45:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.14895","created_at":"2026-07-05T01:45:44Z"},{"alias_kind":"pith_short_12","alias_value":"3NSYPBJOU6JF","created_at":"2026-07-05T01:45:44Z"},{"alias_kind":"pith_short_16","alias_value":"3NSYPBJOU6JFUJ4H","created_at":"2026-07-05T01:45:44Z"},{"alias_kind":"pith_short_8","alias_value":"3NSYPBJO","created_at":"2026-07-05T01:45:44Z"}],"graph_snapshots":[{"event_id":"sha256:fec9e37539c85a142199c2cef070d6cbe0ca12d440b8606565bf8b55ed337d26","target":"graph","created_at":"2026-07-05T01:45:44Z","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/2007.14895/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Tuberculosis (TB) is a chronic lung disease that occurs due to bacterial infection and is one of the top 10 leading causes of death. Accurate and early detection of TB is very important, otherwise, it could be life-threatening. In this work, we have detected TB reliably from the chest X-ray images using image pre-processing, data augmentation, image segmentation, and deep-learning classification techniques. Several public databases were used to create a database of 700 TB infected and 3500 normal chest X-ray images for this study. Nine different deep CNNs (ResNet18, ResNet50, ResNet101, ChexNe","authors_text":"Amith Khandakar, Khandaker F. Islam, Khandaker R. Islam, Mohamed Arselene Ayari, Mohammad T. Islam, Muhammad Abdul Kadir, Muhammad E. H. Chowdhury, Rashid Mazhar, Tahir Hamid, Tawsifur Rahman, Zaid B. Mahbub","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-07-29T15:11:34Z","title":"Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.14895","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":"sha256:8d419d3c6f6dbdb60fec1fedd8257b556d8070990f07160fe4f5a15c070edd4c","target":"record","created_at":"2026-07-05T01:45:44Z","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":"7d8efb6b0feb99431f55fbadf4b88034f3559bab5f0e9e94fbaf944e7cb60ab9","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-07-29T15:11:34Z","title_canon_sha256":"0be1740bf4a5a1f411e62c5d22963b124e554b3ae855f72b1e87033dc87be3d1"},"schema_version":"1.0","source":{"id":"2007.14895","kind":"arxiv","version":1}},"canonical_sha256":"db6587852ea7925a2787155bc4cc8a334232e0ad66b38fe6101a9485986d21d5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"db6587852ea7925a2787155bc4cc8a334232e0ad66b38fe6101a9485986d21d5","first_computed_at":"2026-07-05T01:45:44.334086Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:45:44.334086Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pEuukl/JNKMg4PjBJlIZEqSTL6vpcEaLcQkEtuP3FqSW/eq5rrxbRdGKjvh4T9aEdr33m+Qv6gEoiAFwSDuvDg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:45:44.334495Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.14895","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8d419d3c6f6dbdb60fec1fedd8257b556d8070990f07160fe4f5a15c070edd4c","sha256:fec9e37539c85a142199c2cef070d6cbe0ca12d440b8606565bf8b55ed337d26"],"state_sha256":"0a4f0b3ba159ae9529d25786e2310a99e296703f671ad086f8a77bfc2595d1df"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P1zLvpLWrn/kSibbsiqwhpSDjUuTVWpJL7XnR8ulen0CwxuLMr/ciSFQTbcTIVeip7bLhc5PeOtZXp6Xymj4BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T16:01:22.727548Z","bundle_sha256":"5b32ff894b5f70ede4071fdc2a3ff76b291fca3c5d893cfcb586353db2574af2"}}