{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:LBYWRQ7IOCHOC55HMDQD4J6LBT","short_pith_number":"pith:LBYWRQ7I","canonical_record":{"source":{"id":"2406.16942","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-06-18T03:04:52Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"7f17ba69518f77ed910f673bbf3ddf198d1e378cd27a81f6a5b14e9e2221576b","abstract_canon_sha256":"76e6481b67114f5d43f54578512bda96ed639af103f6d8c677c6d688cb3d683d"},"schema_version":"1.0"},"canonical_sha256":"587168c3e8708ee177a760e03e27cb0ceb37f4e6f866caaab016eb846049988c","source":{"kind":"arxiv","id":"2406.16942","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.16942","created_at":"2026-07-05T08:36:07Z"},{"alias_kind":"arxiv_version","alias_value":"2406.16942v1","created_at":"2026-07-05T08:36:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.16942","created_at":"2026-07-05T08:36:07Z"},{"alias_kind":"pith_short_12","alias_value":"LBYWRQ7IOCHO","created_at":"2026-07-05T08:36:07Z"},{"alias_kind":"pith_short_16","alias_value":"LBYWRQ7IOCHOC55H","created_at":"2026-07-05T08:36:07Z"},{"alias_kind":"pith_short_8","alias_value":"LBYWRQ7I","created_at":"2026-07-05T08:36:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:LBYWRQ7IOCHOC55HMDQD4J6LBT","target":"record","payload":{"canonical_record":{"source":{"id":"2406.16942","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-06-18T03:04:52Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"7f17ba69518f77ed910f673bbf3ddf198d1e378cd27a81f6a5b14e9e2221576b","abstract_canon_sha256":"76e6481b67114f5d43f54578512bda96ed639af103f6d8c677c6d688cb3d683d"},"schema_version":"1.0"},"canonical_sha256":"587168c3e8708ee177a760e03e27cb0ceb37f4e6f866caaab016eb846049988c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:36:07.673951Z","signature_b64":"qczXgTmF3EqheYMx08nSH1x51qe9ph37OHDvnAAaaGj+aUXDRVjDKEnFInSBGjfWxuRTtkLemFbK19Mfn8rTDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"587168c3e8708ee177a760e03e27cb0ceb37f4e6f866caaab016eb846049988c","last_reissued_at":"2026-07-05T08:36:07.673495Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:36:07.673495Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.16942","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":"2026-07-05T08:36:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WLzIwDpN6r5pnhNppPzIyRsZ44MNyED+s4HaJtxjQ2LHTti3SNte3TBDhxH5ByGXQeJqCaQTLVNrvx+lluI7AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-16T16:10:21.482540Z"},"content_sha256":"05f0f7f3ca803fac1dfed9e16b39abf2925d946e83042d63c3100a5856d0ac95","schema_version":"1.0","event_id":"sha256:05f0f7f3ca803fac1dfed9e16b39abf2925d946e83042d63c3100a5856d0ac95"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:LBYWRQ7IOCHOC55HMDQD4J6LBT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancing Diagnostic Reliability of Foundation Model with Uncertainty Estimation in OCT Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"eess.IV","authors_text":"Aidi Lin, Haoyu Chen, Huazhu Fu, Ke Zou, Lixia Feng, Meng Wang, Tian LIN, Tingkun Shi, Xinjian Chen, Xulong Liao, Yinglin Cheng, Yuanyuan Peng, Zhen Liang","submitted_at":"2024-06-18T03:04:52Z","abstract_excerpt":"Inability to express the confidence level and detect unseen classes has limited the clinical implementation of artificial intelligence in the real-world. We developed a foundation model with uncertainty estimation (FMUE) to detect 11 retinal conditions on optical coherence tomography (OCT). In the internal test set, FMUE achieved a higher F1 score of 96.76% than two state-of-the-art algorithms, RETFound and UIOS, and got further improvement with thresholding strategy to 98.44%. In the external test sets obtained from other OCT devices, FMUE achieved an accuracy of 88.75% and 92.73% before and "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.16942","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/2406.16942/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":"2026-07-05T08:36:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qfLiRnZl2m/NvFkhIbBEVIzYpryVjwlTzfFqzI1Rrb/OHTQ8GCq81CauEXnJbNFg5fFALJHXgLIljHH1RhBPBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-16T16:10:21.482917Z"},"content_sha256":"7d48d5989cf3fa4077bde8364f86298b1a810ff24845c2407f23b73456d4aa0e","schema_version":"1.0","event_id":"sha256:7d48d5989cf3fa4077bde8364f86298b1a810ff24845c2407f23b73456d4aa0e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LBYWRQ7IOCHOC55HMDQD4J6LBT/bundle.json","state_url":"https://pith.science/pith/LBYWRQ7IOCHOC55HMDQD4J6LBT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LBYWRQ7IOCHOC55HMDQD4J6LBT/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":"2026-07-16T16:10:21Z","links":{"resolver":"https://pith.science/pith/LBYWRQ7IOCHOC55HMDQD4J6LBT","bundle":"https://pith.science/pith/LBYWRQ7IOCHOC55HMDQD4J6LBT/bundle.json","state":"https://pith.science/pith/LBYWRQ7IOCHOC55HMDQD4J6LBT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LBYWRQ7IOCHOC55HMDQD4J6LBT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:LBYWRQ7IOCHOC55HMDQD4J6LBT","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":"76e6481b67114f5d43f54578512bda96ed639af103f6d8c677c6d688cb3d683d","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-06-18T03:04:52Z","title_canon_sha256":"7f17ba69518f77ed910f673bbf3ddf198d1e378cd27a81f6a5b14e9e2221576b"},"schema_version":"1.0","source":{"id":"2406.16942","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.16942","created_at":"2026-07-05T08:36:07Z"},{"alias_kind":"arxiv_version","alias_value":"2406.16942v1","created_at":"2026-07-05T08:36:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.16942","created_at":"2026-07-05T08:36:07Z"},{"alias_kind":"pith_short_12","alias_value":"LBYWRQ7IOCHO","created_at":"2026-07-05T08:36:07Z"},{"alias_kind":"pith_short_16","alias_value":"LBYWRQ7IOCHOC55H","created_at":"2026-07-05T08:36:07Z"},{"alias_kind":"pith_short_8","alias_value":"LBYWRQ7I","created_at":"2026-07-05T08:36:07Z"}],"graph_snapshots":[{"event_id":"sha256:7d48d5989cf3fa4077bde8364f86298b1a810ff24845c2407f23b73456d4aa0e","target":"graph","created_at":"2026-07-05T08:36:07Z","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/2406.16942/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Inability to express the confidence level and detect unseen classes has limited the clinical implementation of artificial intelligence in the real-world. We developed a foundation model with uncertainty estimation (FMUE) to detect 11 retinal conditions on optical coherence tomography (OCT). In the internal test set, FMUE achieved a higher F1 score of 96.76% than two state-of-the-art algorithms, RETFound and UIOS, and got further improvement with thresholding strategy to 98.44%. In the external test sets obtained from other OCT devices, FMUE achieved an accuracy of 88.75% and 92.73% before and ","authors_text":"Aidi Lin, Haoyu Chen, Huazhu Fu, Ke Zou, Lixia Feng, Meng Wang, Tian LIN, Tingkun Shi, Xinjian Chen, Xulong Liao, Yinglin Cheng, Yuanyuan Peng, Zhen Liang","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-06-18T03:04:52Z","title":"Enhancing Diagnostic Reliability of Foundation Model with Uncertainty Estimation in OCT Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.16942","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":"sha256:05f0f7f3ca803fac1dfed9e16b39abf2925d946e83042d63c3100a5856d0ac95","target":"record","created_at":"2026-07-05T08:36:07Z","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":"76e6481b67114f5d43f54578512bda96ed639af103f6d8c677c6d688cb3d683d","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-06-18T03:04:52Z","title_canon_sha256":"7f17ba69518f77ed910f673bbf3ddf198d1e378cd27a81f6a5b14e9e2221576b"},"schema_version":"1.0","source":{"id":"2406.16942","kind":"arxiv","version":1}},"canonical_sha256":"587168c3e8708ee177a760e03e27cb0ceb37f4e6f866caaab016eb846049988c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"587168c3e8708ee177a760e03e27cb0ceb37f4e6f866caaab016eb846049988c","first_computed_at":"2026-07-05T08:36:07.673495Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:36:07.673495Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qczXgTmF3EqheYMx08nSH1x51qe9ph37OHDvnAAaaGj+aUXDRVjDKEnFInSBGjfWxuRTtkLemFbK19Mfn8rTDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:36:07.673951Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.16942","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:05f0f7f3ca803fac1dfed9e16b39abf2925d946e83042d63c3100a5856d0ac95","sha256:7d48d5989cf3fa4077bde8364f86298b1a810ff24845c2407f23b73456d4aa0e"],"state_sha256":"04afa556ed0893c0eb6f71f1358f815234f6fc1fa059812dfc209f2d63b8c13d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pOZM4D29oT3RiCKL7oA2ZLs2nrv1pAmBFldaAT+URu/JoByExLWaptM488Y42O0mxlYYW/4qFl4GVC8HJIPlDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-16T16:10:21.485407Z","bundle_sha256":"1213bd7031056395bdd9882b890a0de490b73b9f2504adec3ff39ee934bb2473"}}