{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:TBB5N3ODYFLHWH3L4IC73MZHJ2","short_pith_number":"pith:TBB5N3OD","canonical_record":{"source":{"id":"2505.00592","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-01T15:26:23Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"cf62032d896fe93675246b032e3af38600e1089ab1541e807ada049228dd7bf6","abstract_canon_sha256":"5f3a67666ec5f7de8c9db50040ecb96c19cb8299d137a2c1d36d730a0d737df0"},"schema_version":"1.0"},"canonical_sha256":"9843d6edc3c1567b1f6be205fdb3274eb99a09c30cf95a83437346c88013e01c","source":{"kind":"arxiv","id":"2505.00592","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.00592","created_at":"2026-07-05T10:57:22Z"},{"alias_kind":"arxiv_version","alias_value":"2505.00592v1","created_at":"2026-07-05T10:57:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.00592","created_at":"2026-07-05T10:57:22Z"},{"alias_kind":"pith_short_12","alias_value":"TBB5N3ODYFLH","created_at":"2026-07-05T10:57:22Z"},{"alias_kind":"pith_short_16","alias_value":"TBB5N3ODYFLHWH3L","created_at":"2026-07-05T10:57:22Z"},{"alias_kind":"pith_short_8","alias_value":"TBB5N3OD","created_at":"2026-07-05T10:57:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:TBB5N3ODYFLHWH3L4IC73MZHJ2","target":"record","payload":{"canonical_record":{"source":{"id":"2505.00592","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-01T15:26:23Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"cf62032d896fe93675246b032e3af38600e1089ab1541e807ada049228dd7bf6","abstract_canon_sha256":"5f3a67666ec5f7de8c9db50040ecb96c19cb8299d137a2c1d36d730a0d737df0"},"schema_version":"1.0"},"canonical_sha256":"9843d6edc3c1567b1f6be205fdb3274eb99a09c30cf95a83437346c88013e01c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:57:22.582158Z","signature_b64":"4t7QRaeSlsYfUPaLPxkA9/qpoA2R5hLQni5I7svx7xyZsMEIzg3NI1VsXTgsGnrOmAdB+iuHG8Fn4VbYLRFdAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9843d6edc3c1567b1f6be205fdb3274eb99a09c30cf95a83437346c88013e01c","last_reissued_at":"2026-07-05T10:57:22.581644Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:57:22.581644Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.00592","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":"2026-07-05T10:57:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ptwsP3nvRUZfnI5jD/2wvukWVc0pMcHu0y8bnSclVk7y182xC7BRdH/ChyQWYJnxP+b+zv35F3Gkmp4yFHRBBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-24T02:17:47.891760Z"},"content_sha256":"efb91620e95dd6801fe13276a4f85c0bceec5a798ec644557369eab5f44b0c5e","schema_version":"1.0","event_id":"sha256:efb91620e95dd6801fe13276a4f85c0bceec5a798ec644557369eab5f44b0c5e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:TBB5N3ODYFLHWH3L4IC73MZHJ2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Haochao Ying, Hongxia Xu, Jian Wu, Ke Liu, Shangde Gao, Shuo Tong, Zihang Huang","submitted_at":"2025-05-01T15:26:23Z","abstract_excerpt":"Automatic disease image grading is a significant application of artificial intelligence for healthcare, enabling faster and more accurate patient assessments. However, domain shifts, which are exacerbated by data imbalance, introduce bias into the model, posing deployment difficulties in clinical applications. To address the problem, we propose a novel \\textbf{U}ncertainty-aware \\textbf{M}ulti-experts \\textbf{K}nowledge \\textbf{D}istillation (UMKD) framework to transfer knowledge from multiple expert models to a single student model. Specifically, to extract discriminative features, UMKD decou"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.00592","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/2505.00592/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":"2026-07-05T10:57:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DwRUOQW1KvH9dpQ7q+JZeNhEEpUWASxWF3i+Rw4hQwALAs13U3MIJG4Q4JO/CVE/re3yCPrYIiWrmlMPGFkLAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-24T02:17:47.892356Z"},"content_sha256":"264f74fc8388318c3c9dd505541c92203191f041195e48403cf8eba1b551c04d","schema_version":"1.0","event_id":"sha256:264f74fc8388318c3c9dd505541c92203191f041195e48403cf8eba1b551c04d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TBB5N3ODYFLHWH3L4IC73MZHJ2/bundle.json","state_url":"https://pith.science/pith/TBB5N3ODYFLHWH3L4IC73MZHJ2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TBB5N3ODYFLHWH3L4IC73MZHJ2/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":"2026-08-24T02:17:47Z","links":{"resolver":"https://pith.science/pith/TBB5N3ODYFLHWH3L4IC73MZHJ2","bundle":"https://pith.science/pith/TBB5N3ODYFLHWH3L4IC73MZHJ2/bundle.json","state":"https://pith.science/pith/TBB5N3ODYFLHWH3L4IC73MZHJ2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TBB5N3ODYFLHWH3L4IC73MZHJ2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:TBB5N3ODYFLHWH3L4IC73MZHJ2","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":"5f3a67666ec5f7de8c9db50040ecb96c19cb8299d137a2c1d36d730a0d737df0","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-01T15:26:23Z","title_canon_sha256":"cf62032d896fe93675246b032e3af38600e1089ab1541e807ada049228dd7bf6"},"schema_version":"1.0","source":{"id":"2505.00592","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.00592","created_at":"2026-07-05T10:57:22Z"},{"alias_kind":"arxiv_version","alias_value":"2505.00592v1","created_at":"2026-07-05T10:57:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.00592","created_at":"2026-07-05T10:57:22Z"},{"alias_kind":"pith_short_12","alias_value":"TBB5N3ODYFLH","created_at":"2026-07-05T10:57:22Z"},{"alias_kind":"pith_short_16","alias_value":"TBB5N3ODYFLHWH3L","created_at":"2026-07-05T10:57:22Z"},{"alias_kind":"pith_short_8","alias_value":"TBB5N3OD","created_at":"2026-07-05T10:57:22Z"}],"graph_snapshots":[{"event_id":"sha256:264f74fc8388318c3c9dd505541c92203191f041195e48403cf8eba1b551c04d","target":"graph","created_at":"2026-07-05T10:57:22Z","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/2505.00592/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automatic disease image grading is a significant application of artificial intelligence for healthcare, enabling faster and more accurate patient assessments. However, domain shifts, which are exacerbated by data imbalance, introduce bias into the model, posing deployment difficulties in clinical applications. To address the problem, we propose a novel \\textbf{U}ncertainty-aware \\textbf{M}ulti-experts \\textbf{K}nowledge \\textbf{D}istillation (UMKD) framework to transfer knowledge from multiple expert models to a single student model. Specifically, to extract discriminative features, UMKD decou","authors_text":"Haochao Ying, Hongxia Xu, Jian Wu, Ke Liu, Shangde Gao, Shuo Tong, Zihang Huang","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-01T15:26:23Z","title":"Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.00592","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:efb91620e95dd6801fe13276a4f85c0bceec5a798ec644557369eab5f44b0c5e","target":"record","created_at":"2026-07-05T10:57:22Z","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":"5f3a67666ec5f7de8c9db50040ecb96c19cb8299d137a2c1d36d730a0d737df0","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-01T15:26:23Z","title_canon_sha256":"cf62032d896fe93675246b032e3af38600e1089ab1541e807ada049228dd7bf6"},"schema_version":"1.0","source":{"id":"2505.00592","kind":"arxiv","version":1}},"canonical_sha256":"9843d6edc3c1567b1f6be205fdb3274eb99a09c30cf95a83437346c88013e01c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9843d6edc3c1567b1f6be205fdb3274eb99a09c30cf95a83437346c88013e01c","first_computed_at":"2026-07-05T10:57:22.581644Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:57:22.581644Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4t7QRaeSlsYfUPaLPxkA9/qpoA2R5hLQni5I7svx7xyZsMEIzg3NI1VsXTgsGnrOmAdB+iuHG8Fn4VbYLRFdAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:57:22.582158Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.00592","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:efb91620e95dd6801fe13276a4f85c0bceec5a798ec644557369eab5f44b0c5e","sha256:264f74fc8388318c3c9dd505541c92203191f041195e48403cf8eba1b551c04d"],"state_sha256":"d77caefe70828f675ba03c8ce9e17cfe5ed9502bfee4bff241187e6a91ccb26b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X9aaqpmDAxxDZzWLLG7v8FucCBfKnS2tTE7Wknn7zt39JN3xjtHutc/Chlh5GIlPa/8+NL04Enp9CobSnF8LBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-24T02:17:47.897076Z","bundle_sha256":"4be99ad904d7cee4c3c56cbe228cb705dc51cd7ea8d3c983666e61af0791bd7f"}}