{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:QUA7ZIMC2ADSJU6AUG7APJ5CDD","short_pith_number":"pith:QUA7ZIMC","canonical_record":{"source":{"id":"1604.05210","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2016-04-18T15:31:22Z","cross_cats_sorted":[],"title_canon_sha256":"5dacf5d51e3c4ae7c53be607aa07f90e44449cfa57c1c5234e95a81912483f05","abstract_canon_sha256":"18cb362a0d4e1da32cacbe4ec5b8fdebb6458bc8c87fff3ddc442c689a358c95"},"schema_version":"1.0"},"canonical_sha256":"8501fca182d00724d3c0a1be07a7a218fcb241824215a469400cfbe2a547bc4c","source":{"kind":"arxiv","id":"1604.05210","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1604.05210","created_at":"2026-05-18T01:16:55Z"},{"alias_kind":"arxiv_version","alias_value":"1604.05210v1","created_at":"2026-05-18T01:16:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.05210","created_at":"2026-05-18T01:16:55Z"},{"alias_kind":"pith_short_12","alias_value":"QUA7ZIMC2ADS","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_16","alias_value":"QUA7ZIMC2ADSJU6A","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_8","alias_value":"QUA7ZIMC","created_at":"2026-05-18T12:30:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:QUA7ZIMC2ADSJU6AUG7APJ5CDD","target":"record","payload":{"canonical_record":{"source":{"id":"1604.05210","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2016-04-18T15:31:22Z","cross_cats_sorted":[],"title_canon_sha256":"5dacf5d51e3c4ae7c53be607aa07f90e44449cfa57c1c5234e95a81912483f05","abstract_canon_sha256":"18cb362a0d4e1da32cacbe4ec5b8fdebb6458bc8c87fff3ddc442c689a358c95"},"schema_version":"1.0"},"canonical_sha256":"8501fca182d00724d3c0a1be07a7a218fcb241824215a469400cfbe2a547bc4c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:16:55.321534Z","signature_b64":"ijtMMrm/Od/14KAa5OeZXa8ufQ19VzHNGEU8vc4c8B/c1W9yi85IjnPcU+ArcHwPSq6tpt58qn2GOC6MWRtVDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8501fca182d00724d3c0a1be07a7a218fcb241824215a469400cfbe2a547bc4c","last_reissued_at":"2026-05-18T01:16:55.320736Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:16:55.320736Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1604.05210","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":"2026-05-18T01:16:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zjiHnA4rIF+PBfvVUsNryAC4nHjeMQplRMP95ygb2wHjsJbzDy8cyTpbwa/u/hPWbhnLZmJqgLSpQSjbR6+IBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T20:09:25.581611Z"},"content_sha256":"a856d3e59681b67e613d723dffd83365cd1b452dbd8b781a301904feb62e0729","schema_version":"1.0","event_id":"sha256:a856d3e59681b67e613d723dffd83365cd1b452dbd8b781a301904feb62e0729"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:QUA7ZIMC2ADSJU6AUG7APJ5CDD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Pieces-of-parts for supervoxel segmentation with global context: Application to DCE-MRI tumour delineation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bartlomiej W Papiez, Benjamin Irving, Ewan M Anderson, Fergus V Gleeson, James M Franklin, Julia A Schnabel, Ricky A Sharma, Sir Michael Brady","submitted_at":"2016-04-18T15:31:22Z","abstract_excerpt":"Rectal tumour segmentation in dynamic contrast-enhanced MRI (DCE-MRI) is a challenging task, and an automated and consistent method would be highly desirable to improve the modelling and prediction of patient outcomes from tissue contrast enhancement characteristics - particularly in routine clinical practice. A framework is developed to automate DCE-MRI tumour segmentation, by introducing: perfusion-supervoxels to over-segment and classify DCE-MRI volumes using the dynamic contrast enhancement characteristics; and the pieces-of-parts graphical model, which adds global (anatomic) constraints t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.05210","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":"2026-05-18T01:16:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dX5sY6Y4vckEaHCZEBoMo2mE6vbQyZi0I75UvMPn721HLkF0kyxIQfoRWP1IgvUrITlFytZuV/BVWb7QwrEPAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T20:09:25.581990Z"},"content_sha256":"47512a21de2cf2db02b629fbadad92280c50959d904c8b093bf501180cf78eb4","schema_version":"1.0","event_id":"sha256:47512a21de2cf2db02b629fbadad92280c50959d904c8b093bf501180cf78eb4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QUA7ZIMC2ADSJU6AUG7APJ5CDD/bundle.json","state_url":"https://pith.science/pith/QUA7ZIMC2ADSJU6AUG7APJ5CDD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QUA7ZIMC2ADSJU6AUG7APJ5CDD/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":"2026-06-01T20:09:25Z","links":{"resolver":"https://pith.science/pith/QUA7ZIMC2ADSJU6AUG7APJ5CDD","bundle":"https://pith.science/pith/QUA7ZIMC2ADSJU6AUG7APJ5CDD/bundle.json","state":"https://pith.science/pith/QUA7ZIMC2ADSJU6AUG7APJ5CDD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QUA7ZIMC2ADSJU6AUG7APJ5CDD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:QUA7ZIMC2ADSJU6AUG7APJ5CDD","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":"18cb362a0d4e1da32cacbe4ec5b8fdebb6458bc8c87fff3ddc442c689a358c95","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2016-04-18T15:31:22Z","title_canon_sha256":"5dacf5d51e3c4ae7c53be607aa07f90e44449cfa57c1c5234e95a81912483f05"},"schema_version":"1.0","source":{"id":"1604.05210","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1604.05210","created_at":"2026-05-18T01:16:55Z"},{"alias_kind":"arxiv_version","alias_value":"1604.05210v1","created_at":"2026-05-18T01:16:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.05210","created_at":"2026-05-18T01:16:55Z"},{"alias_kind":"pith_short_12","alias_value":"QUA7ZIMC2ADS","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_16","alias_value":"QUA7ZIMC2ADSJU6A","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_8","alias_value":"QUA7ZIMC","created_at":"2026-05-18T12:30:41Z"}],"graph_snapshots":[{"event_id":"sha256:47512a21de2cf2db02b629fbadad92280c50959d904c8b093bf501180cf78eb4","target":"graph","created_at":"2026-05-18T01:16:55Z","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":"Rectal tumour segmentation in dynamic contrast-enhanced MRI (DCE-MRI) is a challenging task, and an automated and consistent method would be highly desirable to improve the modelling and prediction of patient outcomes from tissue contrast enhancement characteristics - particularly in routine clinical practice. A framework is developed to automate DCE-MRI tumour segmentation, by introducing: perfusion-supervoxels to over-segment and classify DCE-MRI volumes using the dynamic contrast enhancement characteristics; and the pieces-of-parts graphical model, which adds global (anatomic) constraints t","authors_text":"Bartlomiej W Papiez, Benjamin Irving, Ewan M Anderson, Fergus V Gleeson, James M Franklin, Julia A Schnabel, Ricky A Sharma, Sir Michael Brady","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2016-04-18T15:31:22Z","title":"Pieces-of-parts for supervoxel segmentation with global context: Application to DCE-MRI tumour delineation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.05210","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:a856d3e59681b67e613d723dffd83365cd1b452dbd8b781a301904feb62e0729","target":"record","created_at":"2026-05-18T01:16:55Z","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":"18cb362a0d4e1da32cacbe4ec5b8fdebb6458bc8c87fff3ddc442c689a358c95","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2016-04-18T15:31:22Z","title_canon_sha256":"5dacf5d51e3c4ae7c53be607aa07f90e44449cfa57c1c5234e95a81912483f05"},"schema_version":"1.0","source":{"id":"1604.05210","kind":"arxiv","version":1}},"canonical_sha256":"8501fca182d00724d3c0a1be07a7a218fcb241824215a469400cfbe2a547bc4c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8501fca182d00724d3c0a1be07a7a218fcb241824215a469400cfbe2a547bc4c","first_computed_at":"2026-05-18T01:16:55.320736Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:16:55.320736Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ijtMMrm/Od/14KAa5OeZXa8ufQ19VzHNGEU8vc4c8B/c1W9yi85IjnPcU+ArcHwPSq6tpt58qn2GOC6MWRtVDw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:16:55.321534Z","signed_message":"canonical_sha256_bytes"},"source_id":"1604.05210","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a856d3e59681b67e613d723dffd83365cd1b452dbd8b781a301904feb62e0729","sha256:47512a21de2cf2db02b629fbadad92280c50959d904c8b093bf501180cf78eb4"],"state_sha256":"0a1bfa9cd490c9dc6ad3a3926671a28fd4cddcf709be3cc6c2d4d7d330624a0f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xwRDRcWuCIVedDnmnH+0oNHvZ40d8gl3TR7uB9KjfMqhRAxizzamxocHtVm6oTb14M1pOHzY02Rqs2P/WnPhDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T20:09:25.583914Z","bundle_sha256":"f0cb9f2e749034823701c33a59592ee43f95786022a848febc89c4c323302e20"}}