{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:HTVONDNBTPSIUR6QMCO3XDUKNL","short_pith_number":"pith:HTVONDNB","canonical_record":{"source":{"id":"1203.1793","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2012-03-08T13:28:47Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"c40672e8b5fbf61fe391eb9eab0c8d4c1775cba16ed5df31fcb0b4ff9761cda1","abstract_canon_sha256":"85211c5ed389ff98cdf8d6091fb704d0fcae37c78605250a749015ad940b8c46"},"schema_version":"1.0"},"canonical_sha256":"3ceae68da19be48a47d0609dbb8e8a6ad447e9b7721c52e50af4d1520aad4a93","source":{"kind":"arxiv","id":"1203.1793","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1203.1793","created_at":"2026-05-18T04:00:36Z"},{"alias_kind":"arxiv_version","alias_value":"1203.1793v1","created_at":"2026-05-18T04:00:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1203.1793","created_at":"2026-05-18T04:00:36Z"},{"alias_kind":"pith_short_12","alias_value":"HTVONDNBTPSI","created_at":"2026-05-18T12:27:09Z"},{"alias_kind":"pith_short_16","alias_value":"HTVONDNBTPSIUR6Q","created_at":"2026-05-18T12:27:09Z"},{"alias_kind":"pith_short_8","alias_value":"HTVONDNB","created_at":"2026-05-18T12:27:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:HTVONDNBTPSIUR6QMCO3XDUKNL","target":"record","payload":{"canonical_record":{"source":{"id":"1203.1793","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2012-03-08T13:28:47Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"c40672e8b5fbf61fe391eb9eab0c8d4c1775cba16ed5df31fcb0b4ff9761cda1","abstract_canon_sha256":"85211c5ed389ff98cdf8d6091fb704d0fcae37c78605250a749015ad940b8c46"},"schema_version":"1.0"},"canonical_sha256":"3ceae68da19be48a47d0609dbb8e8a6ad447e9b7721c52e50af4d1520aad4a93","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:00:36.914587Z","signature_b64":"yKYloXU7ntRFpuZvGzbOK+JVmI8XNMsDgVrAvWzw55jUXo58NdRY0DsD9oCZHsZbAfnmQUnzLKAIK+3efsh3DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3ceae68da19be48a47d0609dbb8e8a6ad447e9b7721c52e50af4d1520aad4a93","last_reissued_at":"2026-05-18T04:00:36.913789Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:00:36.913789Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1203.1793","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":"2026-05-18T04:00:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6EE04Wq50kduhgfqz4lZM2k6ROnzOn8a/ObRgrODFE4zyuyGQZ/qq+g3HpeYL+3po1nHerVMMOZvayPvzFSTCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T20:41:29.000070Z"},"content_sha256":"b81f664eb8aa3a6c45f60ef511d1adb1835ebd27fabf581d0825acf317c0c7f4","schema_version":"1.0","event_id":"sha256:b81f664eb8aa3a6c45f60ef511d1adb1835ebd27fabf581d0825acf317c0c7f4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:HTVONDNBTPSIUR6QMCO3XDUKNL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Using Hausdorff Distance for New Medical Image Annotation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.IR","authors_text":"Jalel Akaichi, Riadh Bouslimi","submitted_at":"2012-03-08T13:28:47Z","abstract_excerpt":"Medical images annotation is most of the time a repetitive hard task. Collecting old similar annotations and assigning them to new medical images may not only enhance the annotation process, but also reduce ambiguity caused by repetitive annotations. The goal of this work is to propose an approach based on Hausdorff distance able to compute similarity between a new medical image and old stored images. User has to choose then one of the similar images and annotations related to the selected one are assigned to the new one."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1203.1793","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":"2026-05-18T04:00:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WaRaKYc5ySV/wIB9JvJ9h2gj6v452o/NvG/hMQPjjLu+X3ikChHDpN6IZSGN63fy3Fc9DeqqhO/XPdAy5SH0AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T20:41:29.000406Z"},"content_sha256":"d5507c17458de85dbd82ee7afc08fe7b24b1fc3a82b3b582ffd3051b8cedcbb0","schema_version":"1.0","event_id":"sha256:d5507c17458de85dbd82ee7afc08fe7b24b1fc3a82b3b582ffd3051b8cedcbb0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HTVONDNBTPSIUR6QMCO3XDUKNL/bundle.json","state_url":"https://pith.science/pith/HTVONDNBTPSIUR6QMCO3XDUKNL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HTVONDNBTPSIUR6QMCO3XDUKNL/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":"2026-06-24T20:41:29Z","links":{"resolver":"https://pith.science/pith/HTVONDNBTPSIUR6QMCO3XDUKNL","bundle":"https://pith.science/pith/HTVONDNBTPSIUR6QMCO3XDUKNL/bundle.json","state":"https://pith.science/pith/HTVONDNBTPSIUR6QMCO3XDUKNL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HTVONDNBTPSIUR6QMCO3XDUKNL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:HTVONDNBTPSIUR6QMCO3XDUKNL","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":"85211c5ed389ff98cdf8d6091fb704d0fcae37c78605250a749015ad940b8c46","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2012-03-08T13:28:47Z","title_canon_sha256":"c40672e8b5fbf61fe391eb9eab0c8d4c1775cba16ed5df31fcb0b4ff9761cda1"},"schema_version":"1.0","source":{"id":"1203.1793","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1203.1793","created_at":"2026-05-18T04:00:36Z"},{"alias_kind":"arxiv_version","alias_value":"1203.1793v1","created_at":"2026-05-18T04:00:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1203.1793","created_at":"2026-05-18T04:00:36Z"},{"alias_kind":"pith_short_12","alias_value":"HTVONDNBTPSI","created_at":"2026-05-18T12:27:09Z"},{"alias_kind":"pith_short_16","alias_value":"HTVONDNBTPSIUR6Q","created_at":"2026-05-18T12:27:09Z"},{"alias_kind":"pith_short_8","alias_value":"HTVONDNB","created_at":"2026-05-18T12:27:09Z"}],"graph_snapshots":[{"event_id":"sha256:d5507c17458de85dbd82ee7afc08fe7b24b1fc3a82b3b582ffd3051b8cedcbb0","target":"graph","created_at":"2026-05-18T04:00:36Z","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":"Medical images annotation is most of the time a repetitive hard task. Collecting old similar annotations and assigning them to new medical images may not only enhance the annotation process, but also reduce ambiguity caused by repetitive annotations. The goal of this work is to propose an approach based on Hausdorff distance able to compute similarity between a new medical image and old stored images. User has to choose then one of the similar images and annotations related to the selected one are assigned to the new one.","authors_text":"Jalel Akaichi, Riadh Bouslimi","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2012-03-08T13:28:47Z","title":"Using Hausdorff Distance for New Medical Image Annotation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1203.1793","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:b81f664eb8aa3a6c45f60ef511d1adb1835ebd27fabf581d0825acf317c0c7f4","target":"record","created_at":"2026-05-18T04:00:36Z","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":"85211c5ed389ff98cdf8d6091fb704d0fcae37c78605250a749015ad940b8c46","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2012-03-08T13:28:47Z","title_canon_sha256":"c40672e8b5fbf61fe391eb9eab0c8d4c1775cba16ed5df31fcb0b4ff9761cda1"},"schema_version":"1.0","source":{"id":"1203.1793","kind":"arxiv","version":1}},"canonical_sha256":"3ceae68da19be48a47d0609dbb8e8a6ad447e9b7721c52e50af4d1520aad4a93","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3ceae68da19be48a47d0609dbb8e8a6ad447e9b7721c52e50af4d1520aad4a93","first_computed_at":"2026-05-18T04:00:36.913789Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T04:00:36.913789Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yKYloXU7ntRFpuZvGzbOK+JVmI8XNMsDgVrAvWzw55jUXo58NdRY0DsD9oCZHsZbAfnmQUnzLKAIK+3efsh3DQ==","signature_status":"signed_v1","signed_at":"2026-05-18T04:00:36.914587Z","signed_message":"canonical_sha256_bytes"},"source_id":"1203.1793","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b81f664eb8aa3a6c45f60ef511d1adb1835ebd27fabf581d0825acf317c0c7f4","sha256:d5507c17458de85dbd82ee7afc08fe7b24b1fc3a82b3b582ffd3051b8cedcbb0"],"state_sha256":"54a0656e836a6bbc49ca1a460bc1a98f0ef4985e36aac1a6f5ce2e8db08eadf0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oI1S1uPN2DYYTMtGDz1W/SdbgBMcF6lgc+Si/fLe1yS89jUVulTwgkHuc2OTrEpxE/Bs1iRjUSeyB0uRlmyjAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-24T20:41:29.002237Z","bundle_sha256":"3b18349a3efd5fcaaaf905c0f04cc44b09cf321d22b075aca9b805c14b3bd7d9"}}