{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6WN6JMUJ7L2JRNBXNN2JRCDZNP","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":"8085f41956cbb9d316eef123eab5149d262c34934513be0beefca22f960efcae","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-11T15:28:48Z","title_canon_sha256":"9295f8752d99c2bea54217c554317069c7236b6501efc1b37f45ddef2ccf625c"},"schema_version":"1.0","source":{"id":"2406.07361","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.07361","created_at":"2026-07-05T10:57:52Z"},{"alias_kind":"arxiv_version","alias_value":"2406.07361v4","created_at":"2026-07-05T10:57:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.07361","created_at":"2026-07-05T10:57:52Z"},{"alias_kind":"pith_short_12","alias_value":"6WN6JMUJ7L2J","created_at":"2026-07-05T10:57:52Z"},{"alias_kind":"pith_short_16","alias_value":"6WN6JMUJ7L2JRNBX","created_at":"2026-07-05T10:57:52Z"},{"alias_kind":"pith_short_8","alias_value":"6WN6JMUJ","created_at":"2026-07-05T10:57:52Z"}],"graph_snapshots":[{"event_id":"sha256:d3bba4827a1b1e6ea2ddbaf8efbe17dd7467ec634e7d70e1cfc97f7e4256ca68","target":"graph","created_at":"2026-07-05T10:57:52Z","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/2406.07361/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep Learning in Image Registration (DLIR) methods have been tremendously successful in image registration due to their speed and ability to incorporate weak label supervision at training time. However, existing DLIR methods forego many of the benefits and invariances of optimization methods. The lack of a task-specific inductive bias in DLIR methods leads to suboptimal performance, especially in the presence of domain shift. Our method aims to bridge this gap between statistical learning and optimization by explicitly incorporating optimization as a layer in a deep network. A deep network is ","authors_text":"James C. Gee, Pratik Chaudhari, Rohit Jena","cross_cats":["cs.LG","eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-11T15:28:48Z","title":"Deep Implicit Optimization enables Robust Learnable Features for Deformable Image Registration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.07361","kind":"arxiv","version":4},"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:d95d13e239d2c6d643ea0d18ed61ba7586393f54afc6963f9af0b3e6dba30383","target":"record","created_at":"2026-07-05T10:57:52Z","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":"8085f41956cbb9d316eef123eab5149d262c34934513be0beefca22f960efcae","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-11T15:28:48Z","title_canon_sha256":"9295f8752d99c2bea54217c554317069c7236b6501efc1b37f45ddef2ccf625c"},"schema_version":"1.0","source":{"id":"2406.07361","kind":"arxiv","version":4}},"canonical_sha256":"f59be4b289faf498b4376b749888796bf9792ffe1c82666db911134087403286","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f59be4b289faf498b4376b749888796bf9792ffe1c82666db911134087403286","first_computed_at":"2026-07-05T10:57:52.878726Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:57:52.878726Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AIPjkJtWOv2Hh8Cn0z0hKxyD84zlUyS8wUIjmaknR+5G12wUtW7HfzadAqRKAuX0Lfv2N741rsvrCI8KihMhDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:57:52.879215Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.07361","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d95d13e239d2c6d643ea0d18ed61ba7586393f54afc6963f9af0b3e6dba30383","sha256:d3bba4827a1b1e6ea2ddbaf8efbe17dd7467ec634e7d70e1cfc97f7e4256ca68"],"state_sha256":"23ad15b1dbb9f0eb52f40b2ad9f90ed8f5f9339a79e9ec2b40c22d9ef315aaa8"}