{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:HYIVGFENCT7OELBU4TTWVCE7TA","short_pith_number":"pith:HYIVGFEN","canonical_record":{"source":{"id":"1505.06236","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2015-05-22T21:59:45Z","cross_cats_sorted":[],"title_canon_sha256":"7df2d8303fe58ec683edb331b0ea59bc330bf96cbb9350e820dec6dee6811c8f","abstract_canon_sha256":"20f0145e59dda6951dcfe1aeb3d28068f0b4292bd503ade75351b83ef7c65aa4"},"schema_version":"1.0"},"canonical_sha256":"3e1153148d14fee22c34e4e76a889f980cf4c804eef858046e9255f2a71c5132","source":{"kind":"arxiv","id":"1505.06236","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1505.06236","created_at":"2026-05-18T01:19:34Z"},{"alias_kind":"arxiv_version","alias_value":"1505.06236v2","created_at":"2026-05-18T01:19:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1505.06236","created_at":"2026-05-18T01:19:34Z"},{"alias_kind":"pith_short_12","alias_value":"HYIVGFENCT7O","created_at":"2026-05-18T12:29:25Z"},{"alias_kind":"pith_short_16","alias_value":"HYIVGFENCT7OELBU","created_at":"2026-05-18T12:29:25Z"},{"alias_kind":"pith_short_8","alias_value":"HYIVGFEN","created_at":"2026-05-18T12:29:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:HYIVGFENCT7OELBU4TTWVCE7TA","target":"record","payload":{"canonical_record":{"source":{"id":"1505.06236","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2015-05-22T21:59:45Z","cross_cats_sorted":[],"title_canon_sha256":"7df2d8303fe58ec683edb331b0ea59bc330bf96cbb9350e820dec6dee6811c8f","abstract_canon_sha256":"20f0145e59dda6951dcfe1aeb3d28068f0b4292bd503ade75351b83ef7c65aa4"},"schema_version":"1.0"},"canonical_sha256":"3e1153148d14fee22c34e4e76a889f980cf4c804eef858046e9255f2a71c5132","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:19:34.343898Z","signature_b64":"pX9ppGUnLzD1r1P9m74y+St8TjRbSEcnuSMZ36hXLGpJ8CZwlyoVDoWe9vKAAMH9q4TCePkUZXn6W5qKroGjAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3e1153148d14fee22c34e4e76a889f980cf4c804eef858046e9255f2a71c5132","last_reissued_at":"2026-05-18T01:19:34.343369Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:19:34.343369Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1505.06236","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":"2026-05-18T01:19:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2hF5ycFRPfx2cX+HulTOlzFOkJebqcvA5RX2rftFgVZbJ1vwOCDCtB1ZheyNJJQJ6w7rMwqhwmqF4dZ3cgM4Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T21:27:06.627054Z"},"content_sha256":"02e4ae7783aefe50677d26658ae4e0af9493d572cd5696a48b7b025e79dcf28a","schema_version":"1.0","event_id":"sha256:02e4ae7783aefe50677d26658ae4e0af9493d572cd5696a48b7b025e79dcf28a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:HYIVGFENCT7OELBU4TTWVCE7TA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Bottom-up Approach for Pancreas Segmentation using Cascaded Superpixels and (Deep) Image Patch Labeling","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Amal Farag, Evrim Turkbey, Holger R. Roth, Jiamin Liu, Le Lu, Ronald M. Summers","submitted_at":"2015-05-22T21:59:45Z","abstract_excerpt":"Robust automated organ segmentation is a prerequisite for computer-aided diagnosis (CAD), quantitative imaging analysis and surgical assistance. For high-variability organs such as the pancreas, previous approaches report undesirably low accuracies. We present a bottom-up approach for pancreas segmentation in abdominal CT scans that is based on a hierarchy of information propagation by classifying image patches at different resolutions; and cascading superpixels. There are four stages: 1) decomposing CT slice images as a set of disjoint boundary-preserving superpixels; 2) computing pancreas cl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1505.06236","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":"2026-05-18T01:19:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7rNIcflswGMLpPtX74l11lFRsWDn0bjPyvZlmfe4G939ETty6yCw43Np8oeNWr/ZtSibsMy14APZ5SfG2XQWAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T21:27:06.627547Z"},"content_sha256":"36443f28ce898dba37a4b251c1ef623fddd0992e921ad9390169116cb04f4931","schema_version":"1.0","event_id":"sha256:36443f28ce898dba37a4b251c1ef623fddd0992e921ad9390169116cb04f4931"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HYIVGFENCT7OELBU4TTWVCE7TA/bundle.json","state_url":"https://pith.science/pith/HYIVGFENCT7OELBU4TTWVCE7TA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HYIVGFENCT7OELBU4TTWVCE7TA/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":"2026-05-22T21:27:06Z","links":{"resolver":"https://pith.science/pith/HYIVGFENCT7OELBU4TTWVCE7TA","bundle":"https://pith.science/pith/HYIVGFENCT7OELBU4TTWVCE7TA/bundle.json","state":"https://pith.science/pith/HYIVGFENCT7OELBU4TTWVCE7TA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HYIVGFENCT7OELBU4TTWVCE7TA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:HYIVGFENCT7OELBU4TTWVCE7TA","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":"20f0145e59dda6951dcfe1aeb3d28068f0b4292bd503ade75351b83ef7c65aa4","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2015-05-22T21:59:45Z","title_canon_sha256":"7df2d8303fe58ec683edb331b0ea59bc330bf96cbb9350e820dec6dee6811c8f"},"schema_version":"1.0","source":{"id":"1505.06236","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1505.06236","created_at":"2026-05-18T01:19:34Z"},{"alias_kind":"arxiv_version","alias_value":"1505.06236v2","created_at":"2026-05-18T01:19:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1505.06236","created_at":"2026-05-18T01:19:34Z"},{"alias_kind":"pith_short_12","alias_value":"HYIVGFENCT7O","created_at":"2026-05-18T12:29:25Z"},{"alias_kind":"pith_short_16","alias_value":"HYIVGFENCT7OELBU","created_at":"2026-05-18T12:29:25Z"},{"alias_kind":"pith_short_8","alias_value":"HYIVGFEN","created_at":"2026-05-18T12:29:25Z"}],"graph_snapshots":[{"event_id":"sha256:36443f28ce898dba37a4b251c1ef623fddd0992e921ad9390169116cb04f4931","target":"graph","created_at":"2026-05-18T01:19:34Z","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":"Robust automated organ segmentation is a prerequisite for computer-aided diagnosis (CAD), quantitative imaging analysis and surgical assistance. For high-variability organs such as the pancreas, previous approaches report undesirably low accuracies. We present a bottom-up approach for pancreas segmentation in abdominal CT scans that is based on a hierarchy of information propagation by classifying image patches at different resolutions; and cascading superpixels. There are four stages: 1) decomposing CT slice images as a set of disjoint boundary-preserving superpixels; 2) computing pancreas cl","authors_text":"Amal Farag, Evrim Turkbey, Holger R. Roth, Jiamin Liu, Le Lu, Ronald M. Summers","cross_cats":[],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2015-05-22T21:59:45Z","title":"A Bottom-up Approach for Pancreas Segmentation using Cascaded Superpixels and (Deep) Image Patch Labeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1505.06236","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":"sha256:02e4ae7783aefe50677d26658ae4e0af9493d572cd5696a48b7b025e79dcf28a","target":"record","created_at":"2026-05-18T01:19:34Z","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":"20f0145e59dda6951dcfe1aeb3d28068f0b4292bd503ade75351b83ef7c65aa4","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2015-05-22T21:59:45Z","title_canon_sha256":"7df2d8303fe58ec683edb331b0ea59bc330bf96cbb9350e820dec6dee6811c8f"},"schema_version":"1.0","source":{"id":"1505.06236","kind":"arxiv","version":2}},"canonical_sha256":"3e1153148d14fee22c34e4e76a889f980cf4c804eef858046e9255f2a71c5132","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3e1153148d14fee22c34e4e76a889f980cf4c804eef858046e9255f2a71c5132","first_computed_at":"2026-05-18T01:19:34.343369Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:19:34.343369Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pX9ppGUnLzD1r1P9m74y+St8TjRbSEcnuSMZ36hXLGpJ8CZwlyoVDoWe9vKAAMH9q4TCePkUZXn6W5qKroGjAA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:19:34.343898Z","signed_message":"canonical_sha256_bytes"},"source_id":"1505.06236","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:02e4ae7783aefe50677d26658ae4e0af9493d572cd5696a48b7b025e79dcf28a","sha256:36443f28ce898dba37a4b251c1ef623fddd0992e921ad9390169116cb04f4931"],"state_sha256":"55bd794baf6edb03ede9cae9f1d3581d0a991fd16e878065c75b8347af2303f6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"66+5Y4LpxwNJ7OfX5LMB32qCVchLsGnPY6mI7PBpcFD+20of3eZiI6tye+phTnA0yO2ieWKRFNEopWOTboDWDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-22T21:27:06.630069Z","bundle_sha256":"7f36ada3a4903fc5be7802c89c4a805156f94d86f264305f6258bc0feee88511"}}