{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:IADCQ3QM6XA3AHV7E7PZJTNPSV","short_pith_number":"pith:IADCQ3QM","canonical_record":{"source":{"id":"1706.03372","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-11T16:17:51Z","cross_cats_sorted":[],"title_canon_sha256":"e1cb8156514a7b85149b3ce80a24768c1906e8641c201fe0db92d72616decc44","abstract_canon_sha256":"ba7b6f9814c792d42ac97d50b6233f5790fc8c5ba92535ea9cbbc7ecfe9895aa"},"schema_version":"1.0"},"canonical_sha256":"4006286e0cf5c1b01ebf27df94cdaf957ef2a108980e3c8fc0e4edffd9fc158a","source":{"kind":"arxiv","id":"1706.03372","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.03372","created_at":"2026-05-18T00:42:37Z"},{"alias_kind":"arxiv_version","alias_value":"1706.03372v1","created_at":"2026-05-18T00:42:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.03372","created_at":"2026-05-18T00:42:37Z"},{"alias_kind":"pith_short_12","alias_value":"IADCQ3QM6XA3","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"IADCQ3QM6XA3AHV7","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"IADCQ3QM","created_at":"2026-05-18T12:31:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:IADCQ3QM6XA3AHV7E7PZJTNPSV","target":"record","payload":{"canonical_record":{"source":{"id":"1706.03372","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-11T16:17:51Z","cross_cats_sorted":[],"title_canon_sha256":"e1cb8156514a7b85149b3ce80a24768c1906e8641c201fe0db92d72616decc44","abstract_canon_sha256":"ba7b6f9814c792d42ac97d50b6233f5790fc8c5ba92535ea9cbbc7ecfe9895aa"},"schema_version":"1.0"},"canonical_sha256":"4006286e0cf5c1b01ebf27df94cdaf957ef2a108980e3c8fc0e4edffd9fc158a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:42:37.677205Z","signature_b64":"oEeUhz4ULNNGb7gm0Lusw9ok44od29/tPmFy2/bXmgQBk+wAIXqCbEgIma1Q21KvGDpU+jtYg47f+SfDfdoLDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4006286e0cf5c1b01ebf27df94cdaf957ef2a108980e3c8fc0e4edffd9fc158a","last_reissued_at":"2026-05-18T00:42:37.676747Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:42:37.676747Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1706.03372","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":"2026-05-18T00:42:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PvNH78dhAoDk9KhXk2VWq389Wk2nIgefBRyDHXT5bOh9+82ciO6LsKwrPbATDjvyCOzVWPiG9JLqvCQ3Pn/xBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T03:28:41.821382Z"},"content_sha256":"e0ed292ccd7a904cf24aed464a1ffda7769c43b409b6ae0c788113be188aabd2","schema_version":"1.0","event_id":"sha256:e0ed292ccd7a904cf24aed464a1ffda7769c43b409b6ae0c788113be188aabd2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:IADCQ3QM6XA3AHV7E7PZJTNPSV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A dynamic graph-cuts method with integrated multiple feature maps for segmenting kidneys in ultrasound images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Gregory Tasian, Qiang Zheng, Steven Warner, Yong Fan","submitted_at":"2017-06-11T16:17:51Z","abstract_excerpt":"Purpose: To improve kidney segmentation in clinical ultrasound (US) images, we develop a new graph cuts based method to segment kidney US images by integrating original image intensity information and texture feature maps extracted using Gabor filters. Methods: To handle large appearance variation within kidney images and improve computational efficiency, we build a graph of image pixels close to kidney boundary instead of building a graph of the whole image. To make the kidney segmentation robust to weak boundaries, we adopt localized regional information to measure similarity between image p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.03372","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":"2026-05-18T00:42:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lFHohFECQhboDs0YhCmeInNiKUSqlK0othvTnhIzyf5ZlK5SJj15/LRCwCZJepOWIs/wpBns46/NSuWwCV7yBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T03:28:41.821734Z"},"content_sha256":"70f0124f455373b4286e9592f080a9bb7655f89598a66893f9742f37d6d21eb2","schema_version":"1.0","event_id":"sha256:70f0124f455373b4286e9592f080a9bb7655f89598a66893f9742f37d6d21eb2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IADCQ3QM6XA3AHV7E7PZJTNPSV/bundle.json","state_url":"https://pith.science/pith/IADCQ3QM6XA3AHV7E7PZJTNPSV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IADCQ3QM6XA3AHV7E7PZJTNPSV/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":"2026-06-03T03:28:41Z","links":{"resolver":"https://pith.science/pith/IADCQ3QM6XA3AHV7E7PZJTNPSV","bundle":"https://pith.science/pith/IADCQ3QM6XA3AHV7E7PZJTNPSV/bundle.json","state":"https://pith.science/pith/IADCQ3QM6XA3AHV7E7PZJTNPSV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IADCQ3QM6XA3AHV7E7PZJTNPSV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:IADCQ3QM6XA3AHV7E7PZJTNPSV","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":"ba7b6f9814c792d42ac97d50b6233f5790fc8c5ba92535ea9cbbc7ecfe9895aa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-11T16:17:51Z","title_canon_sha256":"e1cb8156514a7b85149b3ce80a24768c1906e8641c201fe0db92d72616decc44"},"schema_version":"1.0","source":{"id":"1706.03372","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.03372","created_at":"2026-05-18T00:42:37Z"},{"alias_kind":"arxiv_version","alias_value":"1706.03372v1","created_at":"2026-05-18T00:42:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.03372","created_at":"2026-05-18T00:42:37Z"},{"alias_kind":"pith_short_12","alias_value":"IADCQ3QM6XA3","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"IADCQ3QM6XA3AHV7","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"IADCQ3QM","created_at":"2026-05-18T12:31:21Z"}],"graph_snapshots":[{"event_id":"sha256:70f0124f455373b4286e9592f080a9bb7655f89598a66893f9742f37d6d21eb2","target":"graph","created_at":"2026-05-18T00:42:37Z","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":"Purpose: To improve kidney segmentation in clinical ultrasound (US) images, we develop a new graph cuts based method to segment kidney US images by integrating original image intensity information and texture feature maps extracted using Gabor filters. Methods: To handle large appearance variation within kidney images and improve computational efficiency, we build a graph of image pixels close to kidney boundary instead of building a graph of the whole image. To make the kidney segmentation robust to weak boundaries, we adopt localized regional information to measure similarity between image p","authors_text":"Gregory Tasian, Qiang Zheng, Steven Warner, Yong Fan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-11T16:17:51Z","title":"A dynamic graph-cuts method with integrated multiple feature maps for segmenting kidneys in ultrasound images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.03372","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:e0ed292ccd7a904cf24aed464a1ffda7769c43b409b6ae0c788113be188aabd2","target":"record","created_at":"2026-05-18T00:42:37Z","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":"ba7b6f9814c792d42ac97d50b6233f5790fc8c5ba92535ea9cbbc7ecfe9895aa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-11T16:17:51Z","title_canon_sha256":"e1cb8156514a7b85149b3ce80a24768c1906e8641c201fe0db92d72616decc44"},"schema_version":"1.0","source":{"id":"1706.03372","kind":"arxiv","version":1}},"canonical_sha256":"4006286e0cf5c1b01ebf27df94cdaf957ef2a108980e3c8fc0e4edffd9fc158a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4006286e0cf5c1b01ebf27df94cdaf957ef2a108980e3c8fc0e4edffd9fc158a","first_computed_at":"2026-05-18T00:42:37.676747Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:42:37.676747Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oEeUhz4ULNNGb7gm0Lusw9ok44od29/tPmFy2/bXmgQBk+wAIXqCbEgIma1Q21KvGDpU+jtYg47f+SfDfdoLDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:42:37.677205Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.03372","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e0ed292ccd7a904cf24aed464a1ffda7769c43b409b6ae0c788113be188aabd2","sha256:70f0124f455373b4286e9592f080a9bb7655f89598a66893f9742f37d6d21eb2"],"state_sha256":"3bfaa4b0644347f5d7b22e7556d180b2f2ac83ae77430bf3ccaa7cd0b9defabd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eaOk+wMHKCyczrDESIZV1eCR4e9ndH9zQ2PdpmxyzC7NkyoUPPlbqd8dJJDOmBVUCTS60FjnYOFuEDMwlPb5BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T03:28:41.823679Z","bundle_sha256":"66985fec083cdc5fd203395e5009f001357c5bb9ce40609d8a0183d5bf05f36c"}}