{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:XZJ3BPZZWNNCOMVPVBEULI67MB","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":"72a34cf761e2dd49fdb71e5ca183a19a50439b61eb37452d132e2a25c69c8917","cross_cats_sorted":["cs.AI","eess.IV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-09T04:24:48Z","title_canon_sha256":"4be0c93f00787325c80cd1c05bc003cfbaf583f622d10ca9c0f75e7e6b3a9b17"},"schema_version":"1.0","source":{"id":"2103.05213","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.05213","created_at":"2026-07-05T04:58:13Z"},{"alias_kind":"arxiv_version","alias_value":"2103.05213v2","created_at":"2026-07-05T04:58:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.05213","created_at":"2026-07-05T04:58:13Z"},{"alias_kind":"pith_short_12","alias_value":"XZJ3BPZZWNNC","created_at":"2026-07-05T04:58:13Z"},{"alias_kind":"pith_short_16","alias_value":"XZJ3BPZZWNNCOMVP","created_at":"2026-07-05T04:58:13Z"},{"alias_kind":"pith_short_8","alias_value":"XZJ3BPZZ","created_at":"2026-07-05T04:58:13Z"}],"graph_snapshots":[{"event_id":"sha256:2061cec90f45ec23bc416853f0f46b756bdfc3dfc54fce058d8fe19337aba7bc","target":"graph","created_at":"2026-07-05T04:58:13Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2103.05213/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deformable image registration is fundamental for many medical image analyses. A key obstacle for accurate image registration lies in image appearance variations such as the variations in texture, intensities, and noise. These variations are readily apparent in medical images, especially in brain images where registration is frequently used. Recently, deep learning-based registration methods (DLRs), using deep neural networks, have shown computational efficiency that is several orders of magnitude faster than traditional optimization-based registration methods (ORs). DLRs rely on a globally opt","authors_text":"David Dagan Feng, Jinman Kim, Lei Bi, Michael Fulham, Mingyuan Meng","cross_cats":["cs.AI","eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-09T04:24:48Z","title":"Enhancing Medical Image Registration via Appearance Adjustment Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.05213","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":"sha256:05cdd8f4fb110a756793801de2f8f46e6dfc56fe5e75668c29a44c31839b4530","target":"record","created_at":"2026-07-05T04:58:13Z","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":"72a34cf761e2dd49fdb71e5ca183a19a50439b61eb37452d132e2a25c69c8917","cross_cats_sorted":["cs.AI","eess.IV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-09T04:24:48Z","title_canon_sha256":"4be0c93f00787325c80cd1c05bc003cfbaf583f622d10ca9c0f75e7e6b3a9b17"},"schema_version":"1.0","source":{"id":"2103.05213","kind":"arxiv","version":2}},"canonical_sha256":"be53b0bf39b35a2732afa84945a3df606cc5b94d661f515ab22f2a2795f5663e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"be53b0bf39b35a2732afa84945a3df606cc5b94d661f515ab22f2a2795f5663e","first_computed_at":"2026-07-05T04:58:13.963965Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:58:13.963965Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"owEH0HwVNVm+d6EEB0fQW0xA3uzvaTRBClMiz5yP8wPzdzKnHEcmF100Wjp3uupl5HVhL/fpLyUPO/uIBeA2DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:58:13.964424Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.05213","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:05cdd8f4fb110a756793801de2f8f46e6dfc56fe5e75668c29a44c31839b4530","sha256:2061cec90f45ec23bc416853f0f46b756bdfc3dfc54fce058d8fe19337aba7bc"],"state_sha256":"c65a3b901ef6b4ae66e9aa5a71cf530b80c085193695977779d2dabd52fd6152"}