{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:X76R4VXTTJFIAUOEAW5E53Y6WV","short_pith_number":"pith:X76R4VXT","canonical_record":{"source":{"id":"2404.06362","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-09T14:56:34Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"1b4ca98e46e5d827da27ad1bbacc26ca2b34dcebc357fc4c3ad3e7d68e2694f8","abstract_canon_sha256":"aff5adfa83284cd6591cd1940dd6eec53a52b50da5d2260834f01732b464fea5"},"schema_version":"1.0"},"canonical_sha256":"bffd1e56f39a4a8051c405ba4eef1eb56eb9a8e8e093105fefa3e6fa64c2deb4","source":{"kind":"arxiv","id":"2404.06362","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.06362","created_at":"2026-07-05T08:13:54Z"},{"alias_kind":"arxiv_version","alias_value":"2404.06362v2","created_at":"2026-07-05T08:13:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.06362","created_at":"2026-07-05T08:13:54Z"},{"alias_kind":"pith_short_12","alias_value":"X76R4VXTTJFI","created_at":"2026-07-05T08:13:54Z"},{"alias_kind":"pith_short_16","alias_value":"X76R4VXTTJFIAUOE","created_at":"2026-07-05T08:13:54Z"},{"alias_kind":"pith_short_8","alias_value":"X76R4VXT","created_at":"2026-07-05T08:13:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:X76R4VXTTJFIAUOEAW5E53Y6WV","target":"record","payload":{"canonical_record":{"source":{"id":"2404.06362","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-09T14:56:34Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"1b4ca98e46e5d827da27ad1bbacc26ca2b34dcebc357fc4c3ad3e7d68e2694f8","abstract_canon_sha256":"aff5adfa83284cd6591cd1940dd6eec53a52b50da5d2260834f01732b464fea5"},"schema_version":"1.0"},"canonical_sha256":"bffd1e56f39a4a8051c405ba4eef1eb56eb9a8e8e093105fefa3e6fa64c2deb4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:13:54.096781Z","signature_b64":"iIKFYsmNEUGC/A7fKD9F0uGCIrcjof+OJW/yxFQ5zVcfCb7tcWo+mi9+EldU8ebHUpdROCkqLbZjpYx1uXU9DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bffd1e56f39a4a8051c405ba4eef1eb56eb9a8e8e093105fefa3e6fa64c2deb4","last_reissued_at":"2026-07-05T08:13:54.096276Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:13:54.096276Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.06362","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:13:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"INS0GxKkoMWU4H8ob2RBHSAOdiPh+j3oa10Kja4U4RWHZcc7IsPbBSS/kMXmcY5lKbO2yduYpEivvzEgE6S6Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T16:20:34.918300Z"},"content_sha256":"384f80ab38034a23cc0e7406c59fb0d46aebe410f29ae38df4e6c326c6417f3d","schema_version":"1.0","event_id":"sha256:384f80ab38034a23cc0e7406c59fb0d46aebe410f29ae38df4e6c326c6417f3d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:X76R4VXTTJFIAUOEAW5E53Y6WV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Eric Arazo, Fangyijie Wang, Guenole Silvestre, Julia Dietlmeier, Kathleen Curran, Mayug Maniparambil, Noel E. O'Connor, Sidra Aleem, Suzanne Little","submitted_at":"2024-04-09T14:56:34Z","abstract_excerpt":"The Segment Anything Model (SAM) and CLIP are remarkable vision foundation models (VFMs). SAM, a prompt driven segmentation model, excels in segmentation tasks across diverse domains, while CLIP is renowned for its zero shot recognition capabilities. However, their unified potential has not yet been explored in medical image segmentation. To adapt SAM to medical imaging, existing methods primarily rely on tuning strategies that require extensive data or prior prompts tailored to the specific task, making it particularly challenging when only a limited number of data samples are available. This"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.06362","kind":"arxiv","version":2},"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/2404.06362/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":"2026-07-05T08:13:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Gee8P2pIdk/kbMXpGRlPBWJsDDWs6ZKF+FeTnBlUbhvqw8sG9LbSm1++GRgAMnNK27F9jm5QVpKfdv64TaekAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T16:20:34.918814Z"},"content_sha256":"07d78a6e524173448fc3ece3a00e97eb6c7d5ca3e8d6e500a8e3a79fe223f90d","schema_version":"1.0","event_id":"sha256:07d78a6e524173448fc3ece3a00e97eb6c7d5ca3e8d6e500a8e3a79fe223f90d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/X76R4VXTTJFIAUOEAW5E53Y6WV/bundle.json","state_url":"https://pith.science/pith/X76R4VXTTJFIAUOEAW5E53Y6WV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/X76R4VXTTJFIAUOEAW5E53Y6WV/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":"2026-08-04T16:20:34Z","links":{"resolver":"https://pith.science/pith/X76R4VXTTJFIAUOEAW5E53Y6WV","bundle":"https://pith.science/pith/X76R4VXTTJFIAUOEAW5E53Y6WV/bundle.json","state":"https://pith.science/pith/X76R4VXTTJFIAUOEAW5E53Y6WV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/X76R4VXTTJFIAUOEAW5E53Y6WV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:X76R4VXTTJFIAUOEAW5E53Y6WV","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":"aff5adfa83284cd6591cd1940dd6eec53a52b50da5d2260834f01732b464fea5","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-09T14:56:34Z","title_canon_sha256":"1b4ca98e46e5d827da27ad1bbacc26ca2b34dcebc357fc4c3ad3e7d68e2694f8"},"schema_version":"1.0","source":{"id":"2404.06362","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.06362","created_at":"2026-07-05T08:13:54Z"},{"alias_kind":"arxiv_version","alias_value":"2404.06362v2","created_at":"2026-07-05T08:13:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.06362","created_at":"2026-07-05T08:13:54Z"},{"alias_kind":"pith_short_12","alias_value":"X76R4VXTTJFI","created_at":"2026-07-05T08:13:54Z"},{"alias_kind":"pith_short_16","alias_value":"X76R4VXTTJFIAUOE","created_at":"2026-07-05T08:13:54Z"},{"alias_kind":"pith_short_8","alias_value":"X76R4VXT","created_at":"2026-07-05T08:13:54Z"}],"graph_snapshots":[{"event_id":"sha256:07d78a6e524173448fc3ece3a00e97eb6c7d5ca3e8d6e500a8e3a79fe223f90d","target":"graph","created_at":"2026-07-05T08:13:54Z","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/2404.06362/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The Segment Anything Model (SAM) and CLIP are remarkable vision foundation models (VFMs). SAM, a prompt driven segmentation model, excels in segmentation tasks across diverse domains, while CLIP is renowned for its zero shot recognition capabilities. However, their unified potential has not yet been explored in medical image segmentation. To adapt SAM to medical imaging, existing methods primarily rely on tuning strategies that require extensive data or prior prompts tailored to the specific task, making it particularly challenging when only a limited number of data samples are available. This","authors_text":"Eric Arazo, Fangyijie Wang, Guenole Silvestre, Julia Dietlmeier, Kathleen Curran, Mayug Maniparambil, Noel E. O'Connor, Sidra Aleem, Suzanne Little","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-09T14:56:34Z","title":"Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.06362","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":"sha256:384f80ab38034a23cc0e7406c59fb0d46aebe410f29ae38df4e6c326c6417f3d","target":"record","created_at":"2026-07-05T08:13:54Z","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":"aff5adfa83284cd6591cd1940dd6eec53a52b50da5d2260834f01732b464fea5","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-09T14:56:34Z","title_canon_sha256":"1b4ca98e46e5d827da27ad1bbacc26ca2b34dcebc357fc4c3ad3e7d68e2694f8"},"schema_version":"1.0","source":{"id":"2404.06362","kind":"arxiv","version":2}},"canonical_sha256":"bffd1e56f39a4a8051c405ba4eef1eb56eb9a8e8e093105fefa3e6fa64c2deb4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bffd1e56f39a4a8051c405ba4eef1eb56eb9a8e8e093105fefa3e6fa64c2deb4","first_computed_at":"2026-07-05T08:13:54.096276Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:13:54.096276Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iIKFYsmNEUGC/A7fKD9F0uGCIrcjof+OJW/yxFQ5zVcfCb7tcWo+mi9+EldU8ebHUpdROCkqLbZjpYx1uXU9DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:13:54.096781Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.06362","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:384f80ab38034a23cc0e7406c59fb0d46aebe410f29ae38df4e6c326c6417f3d","sha256:07d78a6e524173448fc3ece3a00e97eb6c7d5ca3e8d6e500a8e3a79fe223f90d"],"state_sha256":"d0c19b8894b845d2625fd1fca0b3ba4e94366e670a0b87dcfbb6028e985b889e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AQL1J7i5nvQv0uxWrYOIgYXQ8m2ijwiiyd6fHB7pHlEz1XtVzpBmr4wXdI6AtLhXwUZ57bfjd63/ZBePXDhmBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T16:20:34.924317Z","bundle_sha256":"64d8dabfd6c01db57b23f0d2fbce5026a4f0d157b231b6924a95b509d9d217ad"}}