{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:DGBNRD6FT6ZGQEC7WLDNYP7HHQ","short_pith_number":"pith:DGBNRD6F","canonical_record":{"source":{"id":"1907.05671","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-07-12T10:51:48Z","cross_cats_sorted":["cs.CL","cs.HC","eess.IV","stat.ML"],"title_canon_sha256":"3c77b84768882257fd386b5c2c929342d5ee3c6a44a0a5abeb1f2cae210068d6","abstract_canon_sha256":"6367d7568964d77425c17af6369b132f9075371b41a82fba1f7f7dee2792a589"},"schema_version":"1.0"},"canonical_sha256":"1982d88fc59fb268105fb2c6dc3fe73c3e5607812c2d363926c3f3a1f62b826c","source":{"kind":"arxiv","id":"1907.05671","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.05671","created_at":"2026-05-17T23:40:47Z"},{"alias_kind":"arxiv_version","alias_value":"1907.05671v1","created_at":"2026-05-17T23:40:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.05671","created_at":"2026-05-17T23:40:47Z"},{"alias_kind":"pith_short_12","alias_value":"DGBNRD6FT6ZG","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"DGBNRD6FT6ZGQEC7","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"DGBNRD6F","created_at":"2026-05-18T12:33:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:DGBNRD6FT6ZGQEC7WLDNYP7HHQ","target":"record","payload":{"canonical_record":{"source":{"id":"1907.05671","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-07-12T10:51:48Z","cross_cats_sorted":["cs.CL","cs.HC","eess.IV","stat.ML"],"title_canon_sha256":"3c77b84768882257fd386b5c2c929342d5ee3c6a44a0a5abeb1f2cae210068d6","abstract_canon_sha256":"6367d7568964d77425c17af6369b132f9075371b41a82fba1f7f7dee2792a589"},"schema_version":"1.0"},"canonical_sha256":"1982d88fc59fb268105fb2c6dc3fe73c3e5607812c2d363926c3f3a1f62b826c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:40:47.355539Z","signature_b64":"D0cSoFarf6pL3TRC/TpXUa93VcqqV+n14we05VGt1NW6FVMyaYAvQsmjMH/JVZWW2E1hguC59X4tI/P6T92iBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1982d88fc59fb268105fb2c6dc3fe73c3e5607812c2d363926c3f3a1f62b826c","last_reissued_at":"2026-05-17T23:40:47.354790Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:40:47.354790Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1907.05671","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":"2026-05-17T23:40:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8X77rcywfWDW0iVdVMBWQ5ZMOIjQDG3nKiIGyhmu8xaDSApwPsLDU5ILg+okzarVJpopYsf1eY79+/ctO3acDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T16:40:31.603871Z"},"content_sha256":"5af7b1efb6583e954bb7eb3b0334f8c318c14badd280a56071c6dddf5b805fd7","schema_version":"1.0","event_id":"sha256:5af7b1efb6583e954bb7eb3b0334f8c318c14badd280a56071c6dddf5b805fd7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:DGBNRD6FT6ZGQEC7WLDNYP7HHQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Justifying Diagnosis Decisions by Deep Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.HC","eess.IV","stat.ML"],"primary_cat":"cs.LG","authors_text":"Graham Spinks, Marie-Francine Moens","submitted_at":"2019-07-12T10:51:48Z","abstract_excerpt":"An integrated approach is proposed across visual and textual data to both determine and justify a medical diagnosis by a neural network. As deep learning techniques improve, interest grows to apply them in medical applications. To enable a transition to workflows in a medical context that are aided by machine learning, the need exists for such algorithms to help justify the obtained outcome so human clinicians can judge their validity. In this work, deep learning methods are used to map a frontal X-Ray image to a continuous textual representation. This textual representation is decoded into a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.05671","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":""},"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":"2026-05-17T23:40:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hp0f5VOrky13XNFnnTJzJNdCqC8YxG4KqdsNcBQwvz7zb/csQmw8FNBiqI0Dwb1nfiDLnKHLvap1xcVa7eHQAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T16:40:31.604527Z"},"content_sha256":"d96e8d05b1cf384c0a1b061fd1401cbb8b4b58310c7ff5cdcfc57244e98c2e28","schema_version":"1.0","event_id":"sha256:d96e8d05b1cf384c0a1b061fd1401cbb8b4b58310c7ff5cdcfc57244e98c2e28"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DGBNRD6FT6ZGQEC7WLDNYP7HHQ/bundle.json","state_url":"https://pith.science/pith/DGBNRD6FT6ZGQEC7WLDNYP7HHQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DGBNRD6FT6ZGQEC7WLDNYP7HHQ/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":"2026-06-11T16:40:31Z","links":{"resolver":"https://pith.science/pith/DGBNRD6FT6ZGQEC7WLDNYP7HHQ","bundle":"https://pith.science/pith/DGBNRD6FT6ZGQEC7WLDNYP7HHQ/bundle.json","state":"https://pith.science/pith/DGBNRD6FT6ZGQEC7WLDNYP7HHQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DGBNRD6FT6ZGQEC7WLDNYP7HHQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:DGBNRD6FT6ZGQEC7WLDNYP7HHQ","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":"6367d7568964d77425c17af6369b132f9075371b41a82fba1f7f7dee2792a589","cross_cats_sorted":["cs.CL","cs.HC","eess.IV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-07-12T10:51:48Z","title_canon_sha256":"3c77b84768882257fd386b5c2c929342d5ee3c6a44a0a5abeb1f2cae210068d6"},"schema_version":"1.0","source":{"id":"1907.05671","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.05671","created_at":"2026-05-17T23:40:47Z"},{"alias_kind":"arxiv_version","alias_value":"1907.05671v1","created_at":"2026-05-17T23:40:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.05671","created_at":"2026-05-17T23:40:47Z"},{"alias_kind":"pith_short_12","alias_value":"DGBNRD6FT6ZG","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"DGBNRD6FT6ZGQEC7","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"DGBNRD6F","created_at":"2026-05-18T12:33:15Z"}],"graph_snapshots":[{"event_id":"sha256:d96e8d05b1cf384c0a1b061fd1401cbb8b4b58310c7ff5cdcfc57244e98c2e28","target":"graph","created_at":"2026-05-17T23:40:47Z","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":"An integrated approach is proposed across visual and textual data to both determine and justify a medical diagnosis by a neural network. As deep learning techniques improve, interest grows to apply them in medical applications. To enable a transition to workflows in a medical context that are aided by machine learning, the need exists for such algorithms to help justify the obtained outcome so human clinicians can judge their validity. In this work, deep learning methods are used to map a frontal X-Ray image to a continuous textual representation. This textual representation is decoded into a ","authors_text":"Graham Spinks, Marie-Francine Moens","cross_cats":["cs.CL","cs.HC","eess.IV","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-07-12T10:51:48Z","title":"Justifying Diagnosis Decisions by Deep Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.05671","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":"sha256:5af7b1efb6583e954bb7eb3b0334f8c318c14badd280a56071c6dddf5b805fd7","target":"record","created_at":"2026-05-17T23:40:47Z","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":"6367d7568964d77425c17af6369b132f9075371b41a82fba1f7f7dee2792a589","cross_cats_sorted":["cs.CL","cs.HC","eess.IV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-07-12T10:51:48Z","title_canon_sha256":"3c77b84768882257fd386b5c2c929342d5ee3c6a44a0a5abeb1f2cae210068d6"},"schema_version":"1.0","source":{"id":"1907.05671","kind":"arxiv","version":1}},"canonical_sha256":"1982d88fc59fb268105fb2c6dc3fe73c3e5607812c2d363926c3f3a1f62b826c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1982d88fc59fb268105fb2c6dc3fe73c3e5607812c2d363926c3f3a1f62b826c","first_computed_at":"2026-05-17T23:40:47.354790Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:40:47.354790Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"D0cSoFarf6pL3TRC/TpXUa93VcqqV+n14we05VGt1NW6FVMyaYAvQsmjMH/JVZWW2E1hguC59X4tI/P6T92iBw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:40:47.355539Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.05671","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5af7b1efb6583e954bb7eb3b0334f8c318c14badd280a56071c6dddf5b805fd7","sha256:d96e8d05b1cf384c0a1b061fd1401cbb8b4b58310c7ff5cdcfc57244e98c2e28"],"state_sha256":"17444de089701af5d45ae00be875bf502c3ac60c0d642cc974e946564e206d28"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l7thNXTFiT02sImL0O8rwadDvKmf+MGqsAE8p+G/lsadVHeCXwRHt3kHFs40GCXLTa4KA2a/RVOBiV3Y9cu3Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T16:40:31.608340Z","bundle_sha256":"bc69124ac4bd9e1aa95e27e83d3d4e6a9e16bba2b7b34a4d054a121b3cdd66fd"}}