{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:K2BNIUMGKL47DDKAUXA3KLNAVT","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":"dec54d96a0337dc849abec8d56d3b82b07ba59792b6182032688356c56729313","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-18T15:24:58Z","title_canon_sha256":"87b1d68c529b5092efb867362f72b39ea940e3bd98129e18f996084ce8b24bf2"},"schema_version":"1.0","source":{"id":"2405.11315","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.11315","created_at":"2026-07-05T08:20:36Z"},{"alias_kind":"arxiv_version","alias_value":"2405.11315v1","created_at":"2026-07-05T08:20:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.11315","created_at":"2026-07-05T08:20:36Z"},{"alias_kind":"pith_short_12","alias_value":"K2BNIUMGKL47","created_at":"2026-07-05T08:20:36Z"},{"alias_kind":"pith_short_16","alias_value":"K2BNIUMGKL47DDKA","created_at":"2026-07-05T08:20:36Z"},{"alias_kind":"pith_short_8","alias_value":"K2BNIUMG","created_at":"2026-07-05T08:20:36Z"}],"graph_snapshots":[{"event_id":"sha256:bf4fd6893c999afa2b7e5057fee86ab5bfa7118de1b816ea1cfb3d02e4a90b69","target":"graph","created_at":"2026-07-05T08:20:36Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2405.11315/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the field of medical decision-making, precise anomaly detection in medical imaging plays a pivotal role in aiding clinicians. However, previous work is reliant on large-scale datasets for training anomaly detection models, which increases the development cost. This paper first focuses on the task of medical image anomaly detection in the few-shot setting, which is critically significant for the medical field where data collection and annotation are both very expensive. We propose an innovative approach, MediCLIP, which adapts the CLIP model to few-shot medical image anomaly detection throug","authors_text":"Dehui Qiu, Min Xu, Ning Lang, Ruixin Yan, Ximiao Zhang, Xiuzhuang Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-18T15:24:58Z","title":"MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.11315","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:db58c2811d5575ec445cde65bdea4197d314ffd333cd32d39fc3b7f64482da23","target":"record","created_at":"2026-07-05T08:20:36Z","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":"dec54d96a0337dc849abec8d56d3b82b07ba59792b6182032688356c56729313","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-18T15:24:58Z","title_canon_sha256":"87b1d68c529b5092efb867362f72b39ea940e3bd98129e18f996084ce8b24bf2"},"schema_version":"1.0","source":{"id":"2405.11315","kind":"arxiv","version":1}},"canonical_sha256":"5682d4518652f9f18d40a5c1b52da0acd4253b32690b7a99d652650bc4fb847b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5682d4518652f9f18d40a5c1b52da0acd4253b32690b7a99d652650bc4fb847b","first_computed_at":"2026-07-05T08:20:36.994033Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:20:36.994033Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YzVxVuqOACtnJkh4FjuAE00t44ZAkRmitrss0eEJ82bviPMPa4aWToREDtF8704jQTRUfr0rHSkGRG1UZhCHDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:20:36.994467Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.11315","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:db58c2811d5575ec445cde65bdea4197d314ffd333cd32d39fc3b7f64482da23","sha256:bf4fd6893c999afa2b7e5057fee86ab5bfa7118de1b816ea1cfb3d02e4a90b69"],"state_sha256":"e9a535867a6351cfb77b0c10dbed954453f38060d5503d70af1b04247f36aea9"}