{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:CHIZ54NEIOWQQXCLTBFX7YVPVS","short_pith_number":"pith:CHIZ54NE","canonical_record":{"source":{"id":"1711.02074","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-06T18:41:18Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"c4e99cbadfcaa721bc33d8e52facf4d5a148a829c7dcb0412aa0bcbd623ee286","abstract_canon_sha256":"924b182a93715baf348ede21342ad4e3fe90b8b6542f2314a03d71a21e921aa3"},"schema_version":"1.0"},"canonical_sha256":"11d19ef1a443ad085c4b984b7fe2afaca55d1a3884e4a2d226210dd96d10f243","source":{"kind":"arxiv","id":"1711.02074","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.02074","created_at":"2026-05-18T00:04:13Z"},{"alias_kind":"arxiv_version","alias_value":"1711.02074v2","created_at":"2026-05-18T00:04:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.02074","created_at":"2026-05-18T00:04:13Z"},{"alias_kind":"pith_short_12","alias_value":"CHIZ54NEIOWQ","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_16","alias_value":"CHIZ54NEIOWQQXCL","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_8","alias_value":"CHIZ54NE","created_at":"2026-05-18T12:31:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:CHIZ54NEIOWQQXCLTBFX7YVPVS","target":"record","payload":{"canonical_record":{"source":{"id":"1711.02074","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-06T18:41:18Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"c4e99cbadfcaa721bc33d8e52facf4d5a148a829c7dcb0412aa0bcbd623ee286","abstract_canon_sha256":"924b182a93715baf348ede21342ad4e3fe90b8b6542f2314a03d71a21e921aa3"},"schema_version":"1.0"},"canonical_sha256":"11d19ef1a443ad085c4b984b7fe2afaca55d1a3884e4a2d226210dd96d10f243","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:04:13.516093Z","signature_b64":"JU8bERiUheaH4ut3PAb2Xh9NeCgPP5TbMI32+9raAMLSuoizpwCBwsJjIXnqguo8bAdeabEq9qsCTbNCir9eCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"11d19ef1a443ad085c4b984b7fe2afaca55d1a3884e4a2d226210dd96d10f243","last_reissued_at":"2026-05-18T00:04:13.515272Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:04:13.515272Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.02074","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:04:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xGrjyFb50Y1ZLbB64jS4R5OQFgrbtGwinh4rXWtxN1N88lFl5TSRqYbI0KJ/InG2mUojADgHMAoWSMeTVTKSCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T16:54:49.336120Z"},"content_sha256":"c76e03802d23494b244026d2be8c262d2010a77b3c1662c7510999620f309925","schema_version":"1.0","event_id":"sha256:c76e03802d23494b244026d2be8c262d2010a77b3c1662c7510999620f309925"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:CHIZ54NEIOWQQXCLTBFX7YVPVS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"End-to-end Lung Nodule Detection in Computed Tomography","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.CV","authors_text":"Bin Dong, Dufan Wu, Georges El Fakhri, Kyungsang Kim, Quanzheng Li","submitted_at":"2017-11-06T18:41:18Z","abstract_excerpt":"Computer aided diagnostic (CAD) system is crucial for modern med-ical imaging. But almost all CAD systems operate on reconstructed images, which were optimized for radiologists. Computer vision can capture features that is subtle to human observers, so it is desirable to design a CAD system op-erating on the raw data. In this paper, we proposed a deep-neural-network-based detection system for lung nodule detection in computed tomography (CT). A primal-dual-type deep reconstruction network was applied first to convert the raw data to the image space, followed by a 3-dimensional convolutional ne"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.02074","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T00:04:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tFMUK9za17T9TFBsjb1MwHQiyMbsDYZb2Fof2FtBLcw0gSqvS1bGwiuLSB5OtsKFsbgbp8LI1J/6m/jJcblLAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T16:54:49.336776Z"},"content_sha256":"807c25a7e8fab7273d7cb26bed907a7b7def976c163d9c5f765b6e5fdd16d9df","schema_version":"1.0","event_id":"sha256:807c25a7e8fab7273d7cb26bed907a7b7def976c163d9c5f765b6e5fdd16d9df"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CHIZ54NEIOWQQXCLTBFX7YVPVS/bundle.json","state_url":"https://pith.science/pith/CHIZ54NEIOWQQXCLTBFX7YVPVS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CHIZ54NEIOWQQXCLTBFX7YVPVS/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":"2026-05-28T16:54:49Z","links":{"resolver":"https://pith.science/pith/CHIZ54NEIOWQQXCLTBFX7YVPVS","bundle":"https://pith.science/pith/CHIZ54NEIOWQQXCLTBFX7YVPVS/bundle.json","state":"https://pith.science/pith/CHIZ54NEIOWQQXCLTBFX7YVPVS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CHIZ54NEIOWQQXCLTBFX7YVPVS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:CHIZ54NEIOWQQXCLTBFX7YVPVS","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":"924b182a93715baf348ede21342ad4e3fe90b8b6542f2314a03d71a21e921aa3","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-06T18:41:18Z","title_canon_sha256":"c4e99cbadfcaa721bc33d8e52facf4d5a148a829c7dcb0412aa0bcbd623ee286"},"schema_version":"1.0","source":{"id":"1711.02074","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.02074","created_at":"2026-05-18T00:04:13Z"},{"alias_kind":"arxiv_version","alias_value":"1711.02074v2","created_at":"2026-05-18T00:04:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.02074","created_at":"2026-05-18T00:04:13Z"},{"alias_kind":"pith_short_12","alias_value":"CHIZ54NEIOWQ","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_16","alias_value":"CHIZ54NEIOWQQXCL","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_8","alias_value":"CHIZ54NE","created_at":"2026-05-18T12:31:10Z"}],"graph_snapshots":[{"event_id":"sha256:807c25a7e8fab7273d7cb26bed907a7b7def976c163d9c5f765b6e5fdd16d9df","target":"graph","created_at":"2026-05-18T00:04:13Z","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"},"paper":{"abstract_excerpt":"Computer aided diagnostic (CAD) system is crucial for modern med-ical imaging. But almost all CAD systems operate on reconstructed images, which were optimized for radiologists. Computer vision can capture features that is subtle to human observers, so it is desirable to design a CAD system op-erating on the raw data. In this paper, we proposed a deep-neural-network-based detection system for lung nodule detection in computed tomography (CT). A primal-dual-type deep reconstruction network was applied first to convert the raw data to the image space, followed by a 3-dimensional convolutional ne","authors_text":"Bin Dong, Dufan Wu, Georges El Fakhri, Kyungsang Kim, Quanzheng Li","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-06T18:41:18Z","title":"End-to-end Lung Nodule Detection in Computed Tomography"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.02074","kind":"arxiv","version":2},"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:c76e03802d23494b244026d2be8c262d2010a77b3c1662c7510999620f309925","target":"record","created_at":"2026-05-18T00:04:13Z","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":"924b182a93715baf348ede21342ad4e3fe90b8b6542f2314a03d71a21e921aa3","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-06T18:41:18Z","title_canon_sha256":"c4e99cbadfcaa721bc33d8e52facf4d5a148a829c7dcb0412aa0bcbd623ee286"},"schema_version":"1.0","source":{"id":"1711.02074","kind":"arxiv","version":2}},"canonical_sha256":"11d19ef1a443ad085c4b984b7fe2afaca55d1a3884e4a2d226210dd96d10f243","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"11d19ef1a443ad085c4b984b7fe2afaca55d1a3884e4a2d226210dd96d10f243","first_computed_at":"2026-05-18T00:04:13.515272Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:04:13.515272Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JU8bERiUheaH4ut3PAb2Xh9NeCgPP5TbMI32+9raAMLSuoizpwCBwsJjIXnqguo8bAdeabEq9qsCTbNCir9eCw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:04:13.516093Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.02074","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c76e03802d23494b244026d2be8c262d2010a77b3c1662c7510999620f309925","sha256:807c25a7e8fab7273d7cb26bed907a7b7def976c163d9c5f765b6e5fdd16d9df"],"state_sha256":"4cd7646a497f4df63de1af848ae7c5dae434cabb298f7a119faa447e44ade635"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bNuS5i1DB8JpAqPN4d/VfOBn/3zeEcqTJoEvK/sQsXRQDSl7j2Lc13v0O8K2BdB5aWJnYhXp05XAJeZTzMicDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T16:54:49.340142Z","bundle_sha256":"0169a6e330707db7173d91202cae6ac91f574c3c4c6ba4bd58627a11f6b03371"}}