{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:CKHHIYMZMVZEV4PYOE4COXPQN2","short_pith_number":"pith:CKHHIYMZ","canonical_record":{"source":{"id":"2409.17332","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-25T20:17:16Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"240089a230812ef714ae98247b75395c632af17c97e5bd77c0ce27958f636f7e","abstract_canon_sha256":"c3cdba754df181e1d835eab32053f5ab5850690dbff88aa98c9727ec436de5ca"},"schema_version":"1.0"},"canonical_sha256":"128e74619965724af1f87138275df06e8436dd3fa7d688f9bdfaa93669dba956","source":{"kind":"arxiv","id":"2409.17332","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.17332","created_at":"2026-07-05T09:11:51Z"},{"alias_kind":"arxiv_version","alias_value":"2409.17332v1","created_at":"2026-07-05T09:11:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.17332","created_at":"2026-07-05T09:11:51Z"},{"alias_kind":"pith_short_12","alias_value":"CKHHIYMZMVZE","created_at":"2026-07-05T09:11:51Z"},{"alias_kind":"pith_short_16","alias_value":"CKHHIYMZMVZEV4PY","created_at":"2026-07-05T09:11:51Z"},{"alias_kind":"pith_short_8","alias_value":"CKHHIYMZ","created_at":"2026-07-05T09:11:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:CKHHIYMZMVZEV4PYOE4COXPQN2","target":"record","payload":{"canonical_record":{"source":{"id":"2409.17332","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-25T20:17:16Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"240089a230812ef714ae98247b75395c632af17c97e5bd77c0ce27958f636f7e","abstract_canon_sha256":"c3cdba754df181e1d835eab32053f5ab5850690dbff88aa98c9727ec436de5ca"},"schema_version":"1.0"},"canonical_sha256":"128e74619965724af1f87138275df06e8436dd3fa7d688f9bdfaa93669dba956","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:11:51.742350Z","signature_b64":"CAyGMQ0n0aqdSmnNOrzkBAm4mPR8PBXLx08EEeLuRdDmw3PFWB9fRIwcp5b+TYVWyRskKdx7WqtJb8YraI2FDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"128e74619965724af1f87138275df06e8436dd3fa7d688f9bdfaa93669dba956","last_reissued_at":"2026-07-05T09:11:51.741851Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:11:51.741851Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.17332","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":"2026-07-05T09:11:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O0rTFg+fZJm4PJL+AVG1F6ZyG/4rG719nWqm423rCtF30sMjXcMpIhSykYe1crGbOz5TGyXUZy/D6zBlv1p0CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T00:29:45.922797Z"},"content_sha256":"f754f669ae92984cf1e7b3e0b24bf88a2343f3428d0ef686ab2a9ba13892f87c","schema_version":"1.0","event_id":"sha256:f754f669ae92984cf1e7b3e0b24bf88a2343f3428d0ef686ab2a9ba13892f87c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:CKHHIYMZMVZEV4PYOE4COXPQN2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Block Expanded DINORET: Adapting Natural Domain Foundation Models for Retinal Imaging Without Catastrophic Forgetting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Amr Saad, Colin Merk, Delia Cabrera DeBuc, Ferhat Turgut, Gabor M. Somfai, Jay Zoellin, Matthias D. Becker, Mischa Buob, Pearse A. Keane, Rui Santos, Samuel Giesser, Sigfried Wagner, Tahm Spitznagel, Yih Chung Tham, Yukun Zhou","submitted_at":"2024-09-25T20:17:16Z","abstract_excerpt":"Integrating deep learning into medical imaging is poised to greatly advance diagnostic methods but it faces challenges with generalizability. Foundation models, based on self-supervised learning, address these issues and improve data efficiency. Natural domain foundation models show promise for medical imaging, but systematic research evaluating domain adaptation, especially using self-supervised learning and parameter-efficient fine-tuning, remains underexplored. Additionally, little research addresses the issue of catastrophic forgetting during fine-tuning of foundation models. We adapted th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.17332","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/2409.17332/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":"2026-07-05T09:11:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/vQFlYjvl2Ty3DqpMkJaSoeOUm0cmt8mj7JlZkem7LWvUzsMSKl+bRCU58cN2fUS2UshhD/vkeZAIPeXdZyGCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T00:29:45.923173Z"},"content_sha256":"b6d258236af23c60549fd030dadc0de49b4fe5487ea8869aa0183e1f84267d75","schema_version":"1.0","event_id":"sha256:b6d258236af23c60549fd030dadc0de49b4fe5487ea8869aa0183e1f84267d75"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CKHHIYMZMVZEV4PYOE4COXPQN2/bundle.json","state_url":"https://pith.science/pith/CKHHIYMZMVZEV4PYOE4COXPQN2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CKHHIYMZMVZEV4PYOE4COXPQN2/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":"2026-08-18T00:29:45Z","links":{"resolver":"https://pith.science/pith/CKHHIYMZMVZEV4PYOE4COXPQN2","bundle":"https://pith.science/pith/CKHHIYMZMVZEV4PYOE4COXPQN2/bundle.json","state":"https://pith.science/pith/CKHHIYMZMVZEV4PYOE4COXPQN2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CKHHIYMZMVZEV4PYOE4COXPQN2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CKHHIYMZMVZEV4PYOE4COXPQN2","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":"c3cdba754df181e1d835eab32053f5ab5850690dbff88aa98c9727ec436de5ca","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-25T20:17:16Z","title_canon_sha256":"240089a230812ef714ae98247b75395c632af17c97e5bd77c0ce27958f636f7e"},"schema_version":"1.0","source":{"id":"2409.17332","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.17332","created_at":"2026-07-05T09:11:51Z"},{"alias_kind":"arxiv_version","alias_value":"2409.17332v1","created_at":"2026-07-05T09:11:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.17332","created_at":"2026-07-05T09:11:51Z"},{"alias_kind":"pith_short_12","alias_value":"CKHHIYMZMVZE","created_at":"2026-07-05T09:11:51Z"},{"alias_kind":"pith_short_16","alias_value":"CKHHIYMZMVZEV4PY","created_at":"2026-07-05T09:11:51Z"},{"alias_kind":"pith_short_8","alias_value":"CKHHIYMZ","created_at":"2026-07-05T09:11:51Z"}],"graph_snapshots":[{"event_id":"sha256:b6d258236af23c60549fd030dadc0de49b4fe5487ea8869aa0183e1f84267d75","target":"graph","created_at":"2026-07-05T09:11:51Z","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/2409.17332/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Integrating deep learning into medical imaging is poised to greatly advance diagnostic methods but it faces challenges with generalizability. Foundation models, based on self-supervised learning, address these issues and improve data efficiency. Natural domain foundation models show promise for medical imaging, but systematic research evaluating domain adaptation, especially using self-supervised learning and parameter-efficient fine-tuning, remains underexplored. Additionally, little research addresses the issue of catastrophic forgetting during fine-tuning of foundation models. We adapted th","authors_text":"Amr Saad, Colin Merk, Delia Cabrera DeBuc, Ferhat Turgut, Gabor M. Somfai, Jay Zoellin, Matthias D. Becker, Mischa Buob, Pearse A. Keane, Rui Santos, Samuel Giesser, Sigfried Wagner, Tahm Spitznagel, Yih Chung Tham, Yukun Zhou","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-25T20:17:16Z","title":"Block Expanded DINORET: Adapting Natural Domain Foundation Models for Retinal Imaging Without Catastrophic Forgetting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.17332","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:f754f669ae92984cf1e7b3e0b24bf88a2343f3428d0ef686ab2a9ba13892f87c","target":"record","created_at":"2026-07-05T09:11:51Z","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":"c3cdba754df181e1d835eab32053f5ab5850690dbff88aa98c9727ec436de5ca","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-09-25T20:17:16Z","title_canon_sha256":"240089a230812ef714ae98247b75395c632af17c97e5bd77c0ce27958f636f7e"},"schema_version":"1.0","source":{"id":"2409.17332","kind":"arxiv","version":1}},"canonical_sha256":"128e74619965724af1f87138275df06e8436dd3fa7d688f9bdfaa93669dba956","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"128e74619965724af1f87138275df06e8436dd3fa7d688f9bdfaa93669dba956","first_computed_at":"2026-07-05T09:11:51.741851Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:11:51.741851Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CAyGMQ0n0aqdSmnNOrzkBAm4mPR8PBXLx08EEeLuRdDmw3PFWB9fRIwcp5b+TYVWyRskKdx7WqtJb8YraI2FDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:11:51.742350Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.17332","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f754f669ae92984cf1e7b3e0b24bf88a2343f3428d0ef686ab2a9ba13892f87c","sha256:b6d258236af23c60549fd030dadc0de49b4fe5487ea8869aa0183e1f84267d75"],"state_sha256":"53bd6793aad258f33427044fb97448090f0d580c331a7f61ea173515600da6f3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P4onwqG3RUggpIh1OwdenLSyY1IeNR0AcULZ3RsNR7d1PZYExcD+I8Z4QBG+o0+k66y/LtpxaslxSqam/JY0Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T00:29:45.925627Z","bundle_sha256":"f1c0f542a99effbcfeffb41990237054eb9ee3e0936bba41b49743ee5d93f988"}}