{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6GY4YLHV7HUX4SCPPANTYFPSSY","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":"fe51302bccba29b3f94ee27e78c8ebb919c98ae9ffc303ec2f2b949769c4b2ab","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-29T05:26:25Z","title_canon_sha256":"11636a3179672f87dd88dc6c2a4d2d716b64a3707ea2e2226f31c1f00ff15d13"},"schema_version":"1.0","source":{"id":"2405.18774","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.18774","created_at":"2026-07-05T08:24:30Z"},{"alias_kind":"arxiv_version","alias_value":"2405.18774v1","created_at":"2026-07-05T08:24:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.18774","created_at":"2026-07-05T08:24:30Z"},{"alias_kind":"pith_short_12","alias_value":"6GY4YLHV7HUX","created_at":"2026-07-05T08:24:30Z"},{"alias_kind":"pith_short_16","alias_value":"6GY4YLHV7HUX4SCP","created_at":"2026-07-05T08:24:30Z"},{"alias_kind":"pith_short_8","alias_value":"6GY4YLHV","created_at":"2026-07-05T08:24:30Z"}],"graph_snapshots":[{"event_id":"sha256:12ae8ccfc657206c223b8a2365a34c93845532c90d57830290ee08e74883b90a","target":"graph","created_at":"2026-07-05T08:24:30Z","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/2405.18774/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Medical image registration is an essential topic in medical image analysis. In this paper, we propose a method for medical image registration using a pretrained large language model. We find that using the pretrained large language model to encode deep features of the medical images in the registration model can effectively improve image registration accuracy, indicating the great potential of the large language model in medical image registration tasks. We use dual encoders to perform deep feature extraction on image pairs and then input the features into the pretrained large language model. ","authors_text":"Mingrui Ma, Yu Yang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-29T05:26:25Z","title":"LLaMA-Reg: Using LLaMA 2 for Unsupervised Medical Image Registration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.18774","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":"sha256:6d90f8f0df8a18a5ed600029f58c61d51117df33c2d0ba1e65d1f3e6fe9f17cd","target":"record","created_at":"2026-07-05T08:24:30Z","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":"fe51302bccba29b3f94ee27e78c8ebb919c98ae9ffc303ec2f2b949769c4b2ab","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-29T05:26:25Z","title_canon_sha256":"11636a3179672f87dd88dc6c2a4d2d716b64a3707ea2e2226f31c1f00ff15d13"},"schema_version":"1.0","source":{"id":"2405.18774","kind":"arxiv","version":1}},"canonical_sha256":"f1b1cc2cf5f9e97e484f781b3c15f29614b55313828f728ed48fe792c1c2e6cf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f1b1cc2cf5f9e97e484f781b3c15f29614b55313828f728ed48fe792c1c2e6cf","first_computed_at":"2026-07-05T08:24:30.105095Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:24:30.105095Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wXuoUGiOxCZMvZhEixnU3fx+Zasa2N7i8QAoTq+W1S4R1r4tBz8yFFAzXtDkaYpthe4AawVs3sY5o7uDMCu9Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:24:30.105633Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.18774","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6d90f8f0df8a18a5ed600029f58c61d51117df33c2d0ba1e65d1f3e6fe9f17cd","sha256:12ae8ccfc657206c223b8a2365a34c93845532c90d57830290ee08e74883b90a"],"state_sha256":"5d1868d509d90624dd97dde732b7d29fbc1b26e125a4453e634b190d5bdfe10a"}