{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:BFWJYYWT2RGGT36SC5OKF42SIP","short_pith_number":"pith:BFWJYYWT","canonical_record":{"source":{"id":"2602.15315","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-17T02:46:45Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"fb58325d9d756a9a27901087daea5ab205e095840f4bbd5f29308f05f1a07a1c","abstract_canon_sha256":"b0a22e5e10d7a42ce66ad4d3a0dc6de75946f6f9d60ec9ddbfecdeb4e9475f3a"},"schema_version":"1.0"},"canonical_sha256":"096c9c62d3d44c69efd2175ca2f35243f623b7ff482d046aecc93287e1bd8f69","source":{"kind":"arxiv","id":"2602.15315","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.15315","created_at":"2026-06-23T02:13:21Z"},{"alias_kind":"arxiv_version","alias_value":"2602.15315v1","created_at":"2026-06-23T02:13:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.15315","created_at":"2026-06-23T02:13:21Z"},{"alias_kind":"pith_short_12","alias_value":"BFWJYYWT2RGG","created_at":"2026-06-23T02:13:21Z"},{"alias_kind":"pith_short_16","alias_value":"BFWJYYWT2RGGT36S","created_at":"2026-06-23T02:13:21Z"},{"alias_kind":"pith_short_8","alias_value":"BFWJYYWT","created_at":"2026-06-23T02:13:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:BFWJYYWT2RGGT36SC5OKF42SIP","target":"record","payload":{"canonical_record":{"source":{"id":"2602.15315","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-17T02:46:45Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"fb58325d9d756a9a27901087daea5ab205e095840f4bbd5f29308f05f1a07a1c","abstract_canon_sha256":"b0a22e5e10d7a42ce66ad4d3a0dc6de75946f6f9d60ec9ddbfecdeb4e9475f3a"},"schema_version":"1.0"},"canonical_sha256":"096c9c62d3d44c69efd2175ca2f35243f623b7ff482d046aecc93287e1bd8f69","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T02:13:21.235463Z","signature_b64":"zagH+7Es/Jboytg91/u/PrHld6cHju0za7ZCP83J04auKXfEmjLvFktqNrIu0VcXA5aQtt1Kb8ZyoH0Hvm4qCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"096c9c62d3d44c69efd2175ca2f35243f623b7ff482d046aecc93287e1bd8f69","last_reissued_at":"2026-06-23T02:13:21.235033Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T02:13:21.235033Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2602.15315","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":"2026-06-23T02:13:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1fwIg1mReTvB9HV7CKUZ9DGLbB0ODd3pV6pGupGt67dn4eRKQKBVdueiko7gyfoi3dC3ufEwO5v99KH7huYvDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T08:12:44.320350Z"},"content_sha256":"8e482ba73c61d14b3bc2458092133c414ced13de567d1ff931fd7c1024d4a248","schema_version":"1.0","event_id":"sha256:8e482ba73c61d14b3bc2458092133c414ced13de567d1ff931fd7c1024d4a248"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:BFWJYYWT2RGGT36SC5OKF42SIP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Training-Free Zero-Shot Anomaly Detection in 3D Brain MRI with 2D Foundation Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.CV","authors_text":"Jaehyun Ahn, Tai Le-Gia","submitted_at":"2026-02-17T02:46:45Z","abstract_excerpt":"Zero-shot anomaly detection (ZSAD) has gained increasing attention in medical imaging as a way to identify abnormalities without task-specific supervision, but most advances remain limited to 2D datasets. Extending ZSAD to 3D medical images has proven challenging, with existing methods relying on slice-wise features and vision-language models, which fail to capture volumetric structure. In this paper, we introduce a fully training-free framework for ZSAD in 3D brain MRI that constructs localized volumetric tokens by aggregating multi-axis slices processed by 2D foundation models. These 3D patc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.15315","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2602.15315/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-06-23T02:13:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aNRMs6YaXuVRjJM2mYDmSGzvVxYHWzGNyaeLC4c3chK8RR7YZQh/NrdePefFaDZZ6eB0ZphBTwlOMb72xJawAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T08:12:44.320990Z"},"content_sha256":"405e8d0234e15e74f552373a3a3c8dcde2ac3ecafc58493cbc6ae8e2463533ac","schema_version":"1.0","event_id":"sha256:405e8d0234e15e74f552373a3a3c8dcde2ac3ecafc58493cbc6ae8e2463533ac"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BFWJYYWT2RGGT36SC5OKF42SIP/bundle.json","state_url":"https://pith.science/pith/BFWJYYWT2RGGT36SC5OKF42SIP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BFWJYYWT2RGGT36SC5OKF42SIP/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":"2026-07-01T08:12:44Z","links":{"resolver":"https://pith.science/pith/BFWJYYWT2RGGT36SC5OKF42SIP","bundle":"https://pith.science/pith/BFWJYYWT2RGGT36SC5OKF42SIP/bundle.json","state":"https://pith.science/pith/BFWJYYWT2RGGT36SC5OKF42SIP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BFWJYYWT2RGGT36SC5OKF42SIP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:BFWJYYWT2RGGT36SC5OKF42SIP","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":"b0a22e5e10d7a42ce66ad4d3a0dc6de75946f6f9d60ec9ddbfecdeb4e9475f3a","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-17T02:46:45Z","title_canon_sha256":"fb58325d9d756a9a27901087daea5ab205e095840f4bbd5f29308f05f1a07a1c"},"schema_version":"1.0","source":{"id":"2602.15315","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.15315","created_at":"2026-06-23T02:13:21Z"},{"alias_kind":"arxiv_version","alias_value":"2602.15315v1","created_at":"2026-06-23T02:13:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.15315","created_at":"2026-06-23T02:13:21Z"},{"alias_kind":"pith_short_12","alias_value":"BFWJYYWT2RGG","created_at":"2026-06-23T02:13:21Z"},{"alias_kind":"pith_short_16","alias_value":"BFWJYYWT2RGGT36S","created_at":"2026-06-23T02:13:21Z"},{"alias_kind":"pith_short_8","alias_value":"BFWJYYWT","created_at":"2026-06-23T02:13:21Z"}],"graph_snapshots":[{"event_id":"sha256:405e8d0234e15e74f552373a3a3c8dcde2ac3ecafc58493cbc6ae8e2463533ac","target":"graph","created_at":"2026-06-23T02:13:21Z","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/2602.15315/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Zero-shot anomaly detection (ZSAD) has gained increasing attention in medical imaging as a way to identify abnormalities without task-specific supervision, but most advances remain limited to 2D datasets. Extending ZSAD to 3D medical images has proven challenging, with existing methods relying on slice-wise features and vision-language models, which fail to capture volumetric structure. In this paper, we introduce a fully training-free framework for ZSAD in 3D brain MRI that constructs localized volumetric tokens by aggregating multi-axis slices processed by 2D foundation models. These 3D patc","authors_text":"Jaehyun Ahn, Tai Le-Gia","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-17T02:46:45Z","title":"Training-Free Zero-Shot Anomaly Detection in 3D Brain MRI with 2D Foundation Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.15315","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":"sha256:8e482ba73c61d14b3bc2458092133c414ced13de567d1ff931fd7c1024d4a248","target":"record","created_at":"2026-06-23T02:13:21Z","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":"b0a22e5e10d7a42ce66ad4d3a0dc6de75946f6f9d60ec9ddbfecdeb4e9475f3a","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-17T02:46:45Z","title_canon_sha256":"fb58325d9d756a9a27901087daea5ab205e095840f4bbd5f29308f05f1a07a1c"},"schema_version":"1.0","source":{"id":"2602.15315","kind":"arxiv","version":1}},"canonical_sha256":"096c9c62d3d44c69efd2175ca2f35243f623b7ff482d046aecc93287e1bd8f69","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"096c9c62d3d44c69efd2175ca2f35243f623b7ff482d046aecc93287e1bd8f69","first_computed_at":"2026-06-23T02:13:21.235033Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T02:13:21.235033Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zagH+7Es/Jboytg91/u/PrHld6cHju0za7ZCP83J04auKXfEmjLvFktqNrIu0VcXA5aQtt1Kb8ZyoH0Hvm4qCA==","signature_status":"signed_v1","signed_at":"2026-06-23T02:13:21.235463Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.15315","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8e482ba73c61d14b3bc2458092133c414ced13de567d1ff931fd7c1024d4a248","sha256:405e8d0234e15e74f552373a3a3c8dcde2ac3ecafc58493cbc6ae8e2463533ac"],"state_sha256":"f66fa13498ee25e1b80fd507907bd9a3cf3c6c10150661420bd91babbadb842e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9Z3+0qOh+f+CldeFDMkUgVDfEKYmBlcNThl8FncoYh4Rwjzyu05tGrvgNgGYYBA8XIOugGmB8fhtKu9FxgeJCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-01T08:12:44.324144Z","bundle_sha256":"3750dee4ec964106834be9d9e01f22db7f7f17a55c131f81f379cf69d448b681"}}