{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:XWXBPIXWEWDG2IH6AF6UHULCY6","short_pith_number":"pith:XWXBPIXW","canonical_record":{"source":{"id":"1708.08825","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-29T15:33:53Z","cross_cats_sorted":[],"title_canon_sha256":"dd30547e38b439fb019baef4cd39e4473d8c0f9153dde242a6140ff6f73ce337","abstract_canon_sha256":"88140dbf3b0e5452db0a660ff5eba81afcc2f15909bb8b575561d63cd1013724"},"schema_version":"1.0"},"canonical_sha256":"bdae17a2f625866d20fe017d43d162c7960ebdf2c789b21c7b01f160fdb3a7f3","source":{"kind":"arxiv","id":"1708.08825","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.08825","created_at":"2026-05-18T00:36:25Z"},{"alias_kind":"arxiv_version","alias_value":"1708.08825v1","created_at":"2026-05-18T00:36:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.08825","created_at":"2026-05-18T00:36:25Z"},{"alias_kind":"pith_short_12","alias_value":"XWXBPIXWEWDG","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"XWXBPIXWEWDG2IH6","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"XWXBPIXW","created_at":"2026-05-18T12:31:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:XWXBPIXWEWDG2IH6AF6UHULCY6","target":"record","payload":{"canonical_record":{"source":{"id":"1708.08825","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-29T15:33:53Z","cross_cats_sorted":[],"title_canon_sha256":"dd30547e38b439fb019baef4cd39e4473d8c0f9153dde242a6140ff6f73ce337","abstract_canon_sha256":"88140dbf3b0e5452db0a660ff5eba81afcc2f15909bb8b575561d63cd1013724"},"schema_version":"1.0"},"canonical_sha256":"bdae17a2f625866d20fe017d43d162c7960ebdf2c789b21c7b01f160fdb3a7f3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:36:25.515174Z","signature_b64":"VIU34Qbm7op/aLqTwGU+Wl2o/Ag+4yWVBHKgpy7TY8lVGqyn3Tg0ifOzFMTDymk79KziEgultr0teU5+ziqkCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bdae17a2f625866d20fe017d43d162c7960ebdf2c789b21c7b01f160fdb3a7f3","last_reissued_at":"2026-05-18T00:36:25.514401Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:36:25.514401Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1708.08825","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":"2026-05-18T00:36:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pen+b/2Ua/zlDcyhcPSIAX8j5IXcRTeIglbJNeTvj75LOAcfisQe1qYARmPDBWsEajzVy6XRGwY4VASZEI3EDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-20T09:02:03.044711Z"},"content_sha256":"7b53d5321ce481e409e4bad9477239c7cdb449489c3d5c806d087991f2f128f2","schema_version":"1.0","event_id":"sha256:7b53d5321ce481e409e4bad9477239c7cdb449489c3d5c806d087991f2f128f2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:XWXBPIXWEWDG2IH6AF6UHULCY6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"4D Multi-atlas Label Fusion using Longitudinal Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bennett A. Landman, Susan M. Resnick, Yuankai Huo","submitted_at":"2017-08-29T15:33:53Z","abstract_excerpt":"Longitudinal reproducibility is an essential concern in automated medical image segmentation, yet has proven to be an elusive objective as manual brain structure tracings have shown more than 10% variability. To improve reproducibility, lon-gitudinal segmentation (4D) approaches have been investigated to reconcile tem-poral variations with traditional 3D approaches. In the past decade, multi-atlas la-bel fusion has become a state-of-the-art segmentation technique for 3D image and many efforts have been made to adapt it to a 4D longitudinal fashion. However, the previous methods were either lim"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.08825","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":"2026-05-18T00:36:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FuZcatdSU3MX8oyY2+mxwmgXBI3Aiex0FpoAPeuoiFsI6+0U2mG9992OLojJI+f/d7EY59x5E3XdOW5tuitZBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-20T09:02:03.045040Z"},"content_sha256":"444bf33a1edf4d7efca52ef98706bf32fe85c4dcdcf9f6d6fcbd47c0aa7d6785","schema_version":"1.0","event_id":"sha256:444bf33a1edf4d7efca52ef98706bf32fe85c4dcdcf9f6d6fcbd47c0aa7d6785"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XWXBPIXWEWDG2IH6AF6UHULCY6/bundle.json","state_url":"https://pith.science/pith/XWXBPIXWEWDG2IH6AF6UHULCY6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XWXBPIXWEWDG2IH6AF6UHULCY6/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":"2026-06-20T09:02:03Z","links":{"resolver":"https://pith.science/pith/XWXBPIXWEWDG2IH6AF6UHULCY6","bundle":"https://pith.science/pith/XWXBPIXWEWDG2IH6AF6UHULCY6/bundle.json","state":"https://pith.science/pith/XWXBPIXWEWDG2IH6AF6UHULCY6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XWXBPIXWEWDG2IH6AF6UHULCY6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:XWXBPIXWEWDG2IH6AF6UHULCY6","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":"88140dbf3b0e5452db0a660ff5eba81afcc2f15909bb8b575561d63cd1013724","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-29T15:33:53Z","title_canon_sha256":"dd30547e38b439fb019baef4cd39e4473d8c0f9153dde242a6140ff6f73ce337"},"schema_version":"1.0","source":{"id":"1708.08825","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.08825","created_at":"2026-05-18T00:36:25Z"},{"alias_kind":"arxiv_version","alias_value":"1708.08825v1","created_at":"2026-05-18T00:36:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.08825","created_at":"2026-05-18T00:36:25Z"},{"alias_kind":"pith_short_12","alias_value":"XWXBPIXWEWDG","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_16","alias_value":"XWXBPIXWEWDG2IH6","created_at":"2026-05-18T12:31:56Z"},{"alias_kind":"pith_short_8","alias_value":"XWXBPIXW","created_at":"2026-05-18T12:31:56Z"}],"graph_snapshots":[{"event_id":"sha256:444bf33a1edf4d7efca52ef98706bf32fe85c4dcdcf9f6d6fcbd47c0aa7d6785","target":"graph","created_at":"2026-05-18T00:36:25Z","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":"Longitudinal reproducibility is an essential concern in automated medical image segmentation, yet has proven to be an elusive objective as manual brain structure tracings have shown more than 10% variability. To improve reproducibility, lon-gitudinal segmentation (4D) approaches have been investigated to reconcile tem-poral variations with traditional 3D approaches. In the past decade, multi-atlas la-bel fusion has become a state-of-the-art segmentation technique for 3D image and many efforts have been made to adapt it to a 4D longitudinal fashion. However, the previous methods were either lim","authors_text":"Bennett A. Landman, Susan M. Resnick, Yuankai Huo","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-29T15:33:53Z","title":"4D Multi-atlas Label Fusion using Longitudinal Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.08825","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":"sha256:7b53d5321ce481e409e4bad9477239c7cdb449489c3d5c806d087991f2f128f2","target":"record","created_at":"2026-05-18T00:36:25Z","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":"88140dbf3b0e5452db0a660ff5eba81afcc2f15909bb8b575561d63cd1013724","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-29T15:33:53Z","title_canon_sha256":"dd30547e38b439fb019baef4cd39e4473d8c0f9153dde242a6140ff6f73ce337"},"schema_version":"1.0","source":{"id":"1708.08825","kind":"arxiv","version":1}},"canonical_sha256":"bdae17a2f625866d20fe017d43d162c7960ebdf2c789b21c7b01f160fdb3a7f3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bdae17a2f625866d20fe017d43d162c7960ebdf2c789b21c7b01f160fdb3a7f3","first_computed_at":"2026-05-18T00:36:25.514401Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:36:25.514401Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VIU34Qbm7op/aLqTwGU+Wl2o/Ag+4yWVBHKgpy7TY8lVGqyn3Tg0ifOzFMTDymk79KziEgultr0teU5+ziqkCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:36:25.515174Z","signed_message":"canonical_sha256_bytes"},"source_id":"1708.08825","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7b53d5321ce481e409e4bad9477239c7cdb449489c3d5c806d087991f2f128f2","sha256:444bf33a1edf4d7efca52ef98706bf32fe85c4dcdcf9f6d6fcbd47c0aa7d6785"],"state_sha256":"d1700a2de00e87743f51831e7b65f5de2131101a0336edd4e3e6352574691705"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"030yvzVlnxlxJjdkF6KssmRJRsx3tj2ZlqqcLtYvqN+ycN84Y0uFfFlA8+sV0HGiBpB82eQz+g0nByHCMtEfBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-20T09:02:03.046887Z","bundle_sha256":"a9bebbbdc5f8fe6e3b336ef0461651d4357fa6bc966749e88ee336d184ff99bd"}}