{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:SGNFQMMRIUR5C5EM3A7CLPX6SK","short_pith_number":"pith:SGNFQMMR","canonical_record":{"source":{"id":"2307.10915","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-20T14:39:46Z","cross_cats_sorted":[],"title_canon_sha256":"704245c08684ed940b2f238cc3d8597f00ac81edd45bf103a05581940e6ea6a6","abstract_canon_sha256":"de5ad7627a872606bcd7ba2a32cd3a0bc9f69b162aee18ddd3250f1504e080d8"},"schema_version":"1.0"},"canonical_sha256":"919a5831914523d1748cd83e25befe92adb9a0132f5d24b6522ec7caeb22ef76","source":{"kind":"arxiv","id":"2307.10915","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.10915","created_at":"2026-07-05T07:13:24Z"},{"alias_kind":"arxiv_version","alias_value":"2307.10915v2","created_at":"2026-07-05T07:13:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.10915","created_at":"2026-07-05T07:13:24Z"},{"alias_kind":"pith_short_12","alias_value":"SGNFQMMRIUR5","created_at":"2026-07-05T07:13:24Z"},{"alias_kind":"pith_short_16","alias_value":"SGNFQMMRIUR5C5EM","created_at":"2026-07-05T07:13:24Z"},{"alias_kind":"pith_short_8","alias_value":"SGNFQMMR","created_at":"2026-07-05T07:13:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:SGNFQMMRIUR5C5EM3A7CLPX6SK","target":"record","payload":{"canonical_record":{"source":{"id":"2307.10915","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-20T14:39:46Z","cross_cats_sorted":[],"title_canon_sha256":"704245c08684ed940b2f238cc3d8597f00ac81edd45bf103a05581940e6ea6a6","abstract_canon_sha256":"de5ad7627a872606bcd7ba2a32cd3a0bc9f69b162aee18ddd3250f1504e080d8"},"schema_version":"1.0"},"canonical_sha256":"919a5831914523d1748cd83e25befe92adb9a0132f5d24b6522ec7caeb22ef76","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:13:24.159997Z","signature_b64":"SY3Uv+KMbR8JdVb/alMx4P+7WaKSk4awVDKW1P/zhQWSUy8dkYWGgtAWxZXL2tw0tKTjKbzeJzI0r5sL3CKJBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"919a5831914523d1748cd83e25befe92adb9a0132f5d24b6522ec7caeb22ef76","last_reissued_at":"2026-07-05T07:13:24.159509Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:13:24.159509Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.10915","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":"2026-07-05T07:13:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3UqHuAqL4lAw7WK/3Tm3wNTPIxC+AuXtdNu/XYPgweHqSexoe2vORb2+OdcNdLxAfid5o1jSl71yA3IQ2VE+Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T12:24:35.498021Z"},"content_sha256":"5fa2e382c96e7c0a716d273ec6ed94cbf9795f3ebceaa61292822a822fb2db30","schema_version":"1.0","event_id":"sha256:5fa2e382c96e7c0a716d273ec6ed94cbf9795f3ebceaa61292822a822fb2db30"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:SGNFQMMRIUR5C5EM3A7CLPX6SK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Revisiting Fine-Tuning Strategies for Self-supervised Medical Imaging Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Muhammad Osama Khan, Yi Fang","submitted_at":"2023-07-20T14:39:46Z","abstract_excerpt":"Despite the rapid progress in self-supervised learning (SSL), end-to-end fine-tuning still remains the dominant fine-tuning strategy for medical imaging analysis. However, it remains unclear whether this approach is truly optimal for effectively utilizing the pre-trained knowledge, especially considering the diverse categories of SSL that capture different types of features. In this paper, we present the first comprehensive study that discovers effective fine-tuning strategies for self-supervised learning in medical imaging. After developing strong contrastive and restorative SSL baselines tha"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.10915","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/2307.10915/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":"2026-07-05T07:13:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NqAOFaFWbOCH2/dnm+Q95uueyUX8dH/MpS9G8efMCuEVZBNBUrGCnwGlDaxuM58CYQkBYhRMJAVOXRTBiAGnCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T12:24:35.498398Z"},"content_sha256":"bbf3806e6fc46ac162572eec3a0f0daf80a31b065a6e2687c12e54d6c9014a68","schema_version":"1.0","event_id":"sha256:bbf3806e6fc46ac162572eec3a0f0daf80a31b065a6e2687c12e54d6c9014a68"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SGNFQMMRIUR5C5EM3A7CLPX6SK/bundle.json","state_url":"https://pith.science/pith/SGNFQMMRIUR5C5EM3A7CLPX6SK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SGNFQMMRIUR5C5EM3A7CLPX6SK/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":"2026-07-07T12:24:35Z","links":{"resolver":"https://pith.science/pith/SGNFQMMRIUR5C5EM3A7CLPX6SK","bundle":"https://pith.science/pith/SGNFQMMRIUR5C5EM3A7CLPX6SK/bundle.json","state":"https://pith.science/pith/SGNFQMMRIUR5C5EM3A7CLPX6SK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SGNFQMMRIUR5C5EM3A7CLPX6SK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:SGNFQMMRIUR5C5EM3A7CLPX6SK","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":"de5ad7627a872606bcd7ba2a32cd3a0bc9f69b162aee18ddd3250f1504e080d8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-20T14:39:46Z","title_canon_sha256":"704245c08684ed940b2f238cc3d8597f00ac81edd45bf103a05581940e6ea6a6"},"schema_version":"1.0","source":{"id":"2307.10915","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.10915","created_at":"2026-07-05T07:13:24Z"},{"alias_kind":"arxiv_version","alias_value":"2307.10915v2","created_at":"2026-07-05T07:13:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.10915","created_at":"2026-07-05T07:13:24Z"},{"alias_kind":"pith_short_12","alias_value":"SGNFQMMRIUR5","created_at":"2026-07-05T07:13:24Z"},{"alias_kind":"pith_short_16","alias_value":"SGNFQMMRIUR5C5EM","created_at":"2026-07-05T07:13:24Z"},{"alias_kind":"pith_short_8","alias_value":"SGNFQMMR","created_at":"2026-07-05T07:13:24Z"}],"graph_snapshots":[{"event_id":"sha256:bbf3806e6fc46ac162572eec3a0f0daf80a31b065a6e2687c12e54d6c9014a68","target":"graph","created_at":"2026-07-05T07:13:24Z","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/2307.10915/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite the rapid progress in self-supervised learning (SSL), end-to-end fine-tuning still remains the dominant fine-tuning strategy for medical imaging analysis. However, it remains unclear whether this approach is truly optimal for effectively utilizing the pre-trained knowledge, especially considering the diverse categories of SSL that capture different types of features. In this paper, we present the first comprehensive study that discovers effective fine-tuning strategies for self-supervised learning in medical imaging. After developing strong contrastive and restorative SSL baselines tha","authors_text":"Muhammad Osama Khan, Yi Fang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-20T14:39:46Z","title":"Revisiting Fine-Tuning Strategies for Self-supervised Medical Imaging Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.10915","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":"sha256:5fa2e382c96e7c0a716d273ec6ed94cbf9795f3ebceaa61292822a822fb2db30","target":"record","created_at":"2026-07-05T07:13:24Z","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":"de5ad7627a872606bcd7ba2a32cd3a0bc9f69b162aee18ddd3250f1504e080d8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-20T14:39:46Z","title_canon_sha256":"704245c08684ed940b2f238cc3d8597f00ac81edd45bf103a05581940e6ea6a6"},"schema_version":"1.0","source":{"id":"2307.10915","kind":"arxiv","version":2}},"canonical_sha256":"919a5831914523d1748cd83e25befe92adb9a0132f5d24b6522ec7caeb22ef76","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"919a5831914523d1748cd83e25befe92adb9a0132f5d24b6522ec7caeb22ef76","first_computed_at":"2026-07-05T07:13:24.159509Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:13:24.159509Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SY3Uv+KMbR8JdVb/alMx4P+7WaKSk4awVDKW1P/zhQWSUy8dkYWGgtAWxZXL2tw0tKTjKbzeJzI0r5sL3CKJBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:13:24.159997Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.10915","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5fa2e382c96e7c0a716d273ec6ed94cbf9795f3ebceaa61292822a822fb2db30","sha256:bbf3806e6fc46ac162572eec3a0f0daf80a31b065a6e2687c12e54d6c9014a68"],"state_sha256":"c6642a28ef72898c4d8368edd5feeef481d08fc0dec6a4f9c954ad0141ee1d81"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oHKLAjRZyvZR+csJphoJ3vJCZHXecbvtsyUOBUV42sPl2O9q62fhVA74kZ7meu/CGhnHZMr7jo9jja/ip3MACg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T12:24:35.500244Z","bundle_sha256":"85dffcb1f5a026b17ec418c55cc26cefa79149ecabc459d1694717872ae9fd0b"}}