{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:2I724E7DLVLOCIDJ5I2MVYTRFD","short_pith_number":"pith:2I724E7D","canonical_record":{"source":{"id":"1907.07713","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-07-17T18:35:25Z","cross_cats_sorted":["cs.LG","q-bio.QM","stat.ML"],"title_canon_sha256":"b9b8bde62e502059eccef46c9939d6251d1fd07ec3f238fdbe9c333fa8112340","abstract_canon_sha256":"e3b00bcbe4a8a140676bd3e70075b16177cf5fc44cca231e54908fa7ed31b380"},"schema_version":"1.0"},"canonical_sha256":"d23fae13e35d56e12069ea34cae27128d6a738a2f87a3d640a88114ed771f02f","source":{"kind":"arxiv","id":"1907.07713","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.07713","created_at":"2026-05-17T23:40:16Z"},{"alias_kind":"arxiv_version","alias_value":"1907.07713v1","created_at":"2026-05-17T23:40:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.07713","created_at":"2026-05-17T23:40:16Z"},{"alias_kind":"pith_short_12","alias_value":"2I724E7DLVLO","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_16","alias_value":"2I724E7DLVLOCIDJ","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_8","alias_value":"2I724E7D","created_at":"2026-05-18T12:33:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:2I724E7DLVLOCIDJ5I2MVYTRFD","target":"record","payload":{"canonical_record":{"source":{"id":"1907.07713","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-07-17T18:35:25Z","cross_cats_sorted":["cs.LG","q-bio.QM","stat.ML"],"title_canon_sha256":"b9b8bde62e502059eccef46c9939d6251d1fd07ec3f238fdbe9c333fa8112340","abstract_canon_sha256":"e3b00bcbe4a8a140676bd3e70075b16177cf5fc44cca231e54908fa7ed31b380"},"schema_version":"1.0"},"canonical_sha256":"d23fae13e35d56e12069ea34cae27128d6a738a2f87a3d640a88114ed771f02f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:40:16.676117Z","signature_b64":"JQuCmPeQsfQmATNs1xF37/QRyN8M5dEzHPIwcAPCjoc50j2fNyHX4hKN7xhLe+yzp3B3XmrQD3RUZbged8icCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d23fae13e35d56e12069ea34cae27128d6a738a2f87a3d640a88114ed771f02f","last_reissued_at":"2026-05-17T23:40:16.675267Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:40:16.675267Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1907.07713","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":"2026-05-17T23:40:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wMn4HFA1v7pVNxysW+JzTyFYz9M9V7noujoS/oUp3NjaP/CTgvnxtP45k2MR8qlTSx0PmonG7tA/rlYqbOlRCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T12:43:14.068694Z"},"content_sha256":"f6c2d6ebd2a1ff7afd4440eb646ce937d431d02f7157d9ac765f5c01c33c3da3","schema_version":"1.0","event_id":"sha256:f6c2d6ebd2a1ff7afd4440eb646ce937d431d02f7157d9ac765f5c01c33c3da3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:2I724E7DLVLOCIDJ5I2MVYTRFD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An AI-Augmented Lesion Detection Framework For Liver Metastases With Model Interpretability","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","q-bio.QM","stat.ML"],"primary_cat":"eess.IV","authors_text":"Joost Huiskens, Nina Wesdorp, Ralph Abbey, Ricky Tharrington, Xin J. Hunt","submitted_at":"2019-07-17T18:35:25Z","abstract_excerpt":"Colorectal cancer (CRC) is the third most common cancer and the second leading cause of cancer-related deaths worldwide. Most CRC deaths are the result of progression of metastases. The assessment of metastases is done using the RECIST criterion, which is time consuming and subjective, as clinicians need to manually measure anatomical tumor sizes. AI has many successes in image object detection, but often suffers because the models used are not interpretable, leading to issues in trust and implementation in the clinical setting. We propose a framework for an AI-augmented system in which an int"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.07713","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":"2026-05-17T23:40:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PANtVkhAfGAicEHRHQTBbLbRLsHIHFwPfqSeS7pOQigBURcdccxkjKW77cEAlQ8iAB1uXpKT0X8Cvq1cy5sJAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T12:43:14.069049Z"},"content_sha256":"e061b074a16bba0ce056f9f52574ad0205ac7e0e036d0206ae9d620b14977acd","schema_version":"1.0","event_id":"sha256:e061b074a16bba0ce056f9f52574ad0205ac7e0e036d0206ae9d620b14977acd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2I724E7DLVLOCIDJ5I2MVYTRFD/bundle.json","state_url":"https://pith.science/pith/2I724E7DLVLOCIDJ5I2MVYTRFD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2I724E7DLVLOCIDJ5I2MVYTRFD/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":"2026-05-26T12:43:14Z","links":{"resolver":"https://pith.science/pith/2I724E7DLVLOCIDJ5I2MVYTRFD","bundle":"https://pith.science/pith/2I724E7DLVLOCIDJ5I2MVYTRFD/bundle.json","state":"https://pith.science/pith/2I724E7DLVLOCIDJ5I2MVYTRFD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2I724E7DLVLOCIDJ5I2MVYTRFD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:2I724E7DLVLOCIDJ5I2MVYTRFD","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":"e3b00bcbe4a8a140676bd3e70075b16177cf5fc44cca231e54908fa7ed31b380","cross_cats_sorted":["cs.LG","q-bio.QM","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-07-17T18:35:25Z","title_canon_sha256":"b9b8bde62e502059eccef46c9939d6251d1fd07ec3f238fdbe9c333fa8112340"},"schema_version":"1.0","source":{"id":"1907.07713","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.07713","created_at":"2026-05-17T23:40:16Z"},{"alias_kind":"arxiv_version","alias_value":"1907.07713v1","created_at":"2026-05-17T23:40:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.07713","created_at":"2026-05-17T23:40:16Z"},{"alias_kind":"pith_short_12","alias_value":"2I724E7DLVLO","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_16","alias_value":"2I724E7DLVLOCIDJ","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_8","alias_value":"2I724E7D","created_at":"2026-05-18T12:33:07Z"}],"graph_snapshots":[{"event_id":"sha256:e061b074a16bba0ce056f9f52574ad0205ac7e0e036d0206ae9d620b14977acd","target":"graph","created_at":"2026-05-17T23:40:16Z","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":"Colorectal cancer (CRC) is the third most common cancer and the second leading cause of cancer-related deaths worldwide. Most CRC deaths are the result of progression of metastases. The assessment of metastases is done using the RECIST criterion, which is time consuming and subjective, as clinicians need to manually measure anatomical tumor sizes. AI has many successes in image object detection, but often suffers because the models used are not interpretable, leading to issues in trust and implementation in the clinical setting. We propose a framework for an AI-augmented system in which an int","authors_text":"Joost Huiskens, Nina Wesdorp, Ralph Abbey, Ricky Tharrington, Xin J. Hunt","cross_cats":["cs.LG","q-bio.QM","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-07-17T18:35:25Z","title":"An AI-Augmented Lesion Detection Framework For Liver Metastases With Model Interpretability"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.07713","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:f6c2d6ebd2a1ff7afd4440eb646ce937d431d02f7157d9ac765f5c01c33c3da3","target":"record","created_at":"2026-05-17T23:40:16Z","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":"e3b00bcbe4a8a140676bd3e70075b16177cf5fc44cca231e54908fa7ed31b380","cross_cats_sorted":["cs.LG","q-bio.QM","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-07-17T18:35:25Z","title_canon_sha256":"b9b8bde62e502059eccef46c9939d6251d1fd07ec3f238fdbe9c333fa8112340"},"schema_version":"1.0","source":{"id":"1907.07713","kind":"arxiv","version":1}},"canonical_sha256":"d23fae13e35d56e12069ea34cae27128d6a738a2f87a3d640a88114ed771f02f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d23fae13e35d56e12069ea34cae27128d6a738a2f87a3d640a88114ed771f02f","first_computed_at":"2026-05-17T23:40:16.675267Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:40:16.675267Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JQuCmPeQsfQmATNs1xF37/QRyN8M5dEzHPIwcAPCjoc50j2fNyHX4hKN7xhLe+yzp3B3XmrQD3RUZbged8icCw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:40:16.676117Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.07713","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f6c2d6ebd2a1ff7afd4440eb646ce937d431d02f7157d9ac765f5c01c33c3da3","sha256:e061b074a16bba0ce056f9f52574ad0205ac7e0e036d0206ae9d620b14977acd"],"state_sha256":"9a0f85abf0b120c1131bcc284ff948e8badc20ae223b2e2b79186f7751386915"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oXarwUFSly2CMli7nf817jfRPfRGBCWBqlP+6asH9NBuubWW4VKd26lcxPwoIuN8icEsRE9cxMHwyn+FJ5k2Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T12:43:14.071209Z","bundle_sha256":"7efe752c1c29e7adfe0413e6ec216603a8de36e5ea42e1902216edd44005df1b"}}