{"as_of":"2026-08-18T20:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:630f1636ab1c4d71c971e9a9735cbb3880217312e6d0dadd924b0c9422a9978d","coverage":[{"denominator":60,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":60,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T10:13:16.522723Z","state":"measured"},{"denominator":60,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":60,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2412.00150/citation-record","integrity":"/paper/2412.00150/integrity","json":"/paper/2412.00150/citation-record.json","paper":"/paper/2412.00150"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.259555Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.259555Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:6c7de774117cdd43ef9949a600662557ef83801bb8d5b53b17cf6a1dcd09a72e","observation_id":"eaf0e4e5-0a4e-4ccb-8c1a-830b2729444e","resolution":{"observed_at":"2026-08-12T10:13:16.259555Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.264936Z","title":"Fast r-cnn","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.264936Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:625989e02ae8f69170a6137a50ecb75d6d280242e49ca41b7b3f459c4b288ec9","observation_id":"d4c41cc0-9e2a-4bf4-8fb8-e851f1a02a3c","resolution":{"observed_at":"2026-08-12T10:13:16.264936Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.269499Z","title":"Mask r-cnn","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.269499Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:3e425c5bd725dc25ce6500bd879db986169f0aa5109bd63d4c0b9c08370fbfe3","observation_id":"7ae20d8c-47c3-4522-9ca0-49f8df15ad65","resolution":{"observed_at":"2026-08-12T10:13:16.269499Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:17.272965Z","title":"Tokens-to-token vit: Training vision transformers from scratch on imagenet","venue":null,"work_id":"59c13cbb-27ef-4bf9-b8ac-b7548719a3a7","year":2021},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.274238Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:0a10c9330d96674360f25920a36ed8d22e388cb5d1ab1092d37bda3ead59eaa7","observation_id":"9b899fce-3641-4416-ac04-d8d9185e0423","resolution":{"observed_at":"2026-08-12T10:13:17.279145Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:17.257095Z","title":"Learning from noisy labels with deep neural networks: A survey","venue":null,"work_id":"08d5ac69-81be-4b2d-a5fa-f787020467db","year":2022},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.278960Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:cf6e840fc7d9d480fe48a5acd358bb141596a900b2e985aca134118c0d4ec16c","observation_id":"72e87ae3-4b1e-4b6a-a179-5ceb70bfeb38","resolution":{"observed_at":"2026-08-12T10:13:17.262135Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:17.241669Z","title":"The unreasonable effectiveness of noisy data for fine-grained recognition","venue":null,"work_id":"be5f5e6a-0044-4f03-9c18-9f882bd93aeb","year":2016},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.283811Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:b6c278a4efba485f06b98979d3b775ec8a05ee68532f93974602a5db5d2b5162","observation_id":"a25b7218-b8c8-4690-8dba-5bf19d55784f","resolution":{"observed_at":"2026-08-12T10:13:17.246462Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:17.226023Z","title":"A closer look at memorization in deep networks","venue":null,"work_id":"13a13c84-fb1f-4c3e-be42-bacc0128ab1c","year":2017},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.288598Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:fff79d7140468b9b0dd7eaf6f0ea7b260b426f36f1b4fa636ec6ef5641514dd5","observation_id":"91651e98-908d-4c24-b793-387535cedeb6","resolution":{"observed_at":"2026-08-12T10:13:17.231190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:17.212158Z","title":"Robust medical image classification from noisy labeled data with global and local representation guided co-training","venue":null,"work_id":"5ea6eef3-3b93-4ef8-9a26-e64174d89ccc","year":2022},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.292834Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:84649823a5dc1a583e09af557c361a3e2354fee140d2b24247f175dd980a997e","observation_id":"b0f42bd1-ab58-4308-a354-fe1616b1c3de","resolution":{"observed_at":"2026-08-12T10:13:17.216677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:17.197120Z","title":"Improving medical images classification with label noise using dual-uncertainty estimation","venue":null,"work_id":"8df7eee6-5d19-4729-98cf-edeff14ce629","year":2022},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.297016Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:54512a2f28f288dc5fd91479512aa02843c808c4a6f8c4035745a10e8428a054","observation_id":"5498ea21-8233-4a0c-bdc9-6a98a419b41b","resolution":{"observed_at":"2026-08-12T10:13:17.201683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.301448Z","title":"Mentornet: Learning data-driven curriculum for very deep neural networks on corrupted labels","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.301448Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:761e62843d02cce2ff3b56bd93f262d919dc698c6d38ef00d3f1b1237b8d403e","observation_id":"8d6959a3-eafc-42ec-9d37-c2291fff3009","resolution":{"observed_at":"2026-08-12T10:13:16.301448Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.306363Z","title":"Co-teaching: Robust training of deep neural networks with extremely noisy labels","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.306363Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:e7a9582f751556934b27dbf7e599a557c54e5d0fab1717591502957a58bf0745","observation_id":"7e54d70e-ab2c-42c2-9450-e423cb83c65f","resolution":{"observed_at":"2026-08-12T10:13:16.306363Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:17.163818Z","title":"How does disagreement help generalization against label corruption? In International conference on machine learning, pages 7164–7173","venue":null,"work_id":"841ba55a-ca22-40b9-8b5d-f6d828fceaad","year":2019},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.310728Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:0cb47b97192eb5ad1ce1ea389395783d3df20f89551160335aa4e4a402c467e3","observation_id":"ba7d6938-e1eb-4be6-a361-ed28cde77dce","resolution":{"observed_at":"2026-08-12T10:13:17.168816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.315302Z","title":"Combating noisy labels by agreement: A joint training method with co-regularization","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.315302Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:e1feb7551affbdd506fb1b9f15df747400713de05c1206c5fd6831a176a42558","observation_id":"85023268-2830-4627-b82b-55bd952b26cc","resolution":{"observed_at":"2026-08-12T10:13:16.315302Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:17.138595Z","title":"Combating noisy labels with sample selection by mining high-discrepancy examples","venue":null,"work_id":"d9e049d7-ba66-4d8a-8d52-917b11a7ae99","year":2023},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.319512Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:f2b2128c4a1befd0964f707b63f1e17ab86257e6912576c71604d7ca1b074442","observation_id":"035885c4-443a-4fe1-a8ba-9af3f03cb932","resolution":{"observed_at":"2026-08-12T10:13:17.144113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.323827Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.323827Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:f2b37bfe30b77b6ce290803f5049a535b99514a5322a2aa3e1ad2b0863ead1ae","observation_id":"77c377cd-02c0-417e-acb7-7033e2574916","resolution":{"observed_at":"2026-08-12T10:13:16.323827Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.328208Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.328208Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:1ae54082dce81167bf330d4314993f2819c2cfeb3456fc06118ddb699199437b","observation_id":"fb903daa-87e8-44c1-a4d0-58a74e8f5538","resolution":{"observed_at":"2026-08-12T10:13:16.328208Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.332639Z","title":"Masked autoencoders are scalable vision learners","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.332639Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:e6e141258cf6f333d152263dacc72d4fbc8d7f0332c37ba8a63bc65a40392848","observation_id":"ab89b705-e2a7-4495-aaf3-07afd0bd2cfc","resolution":{"observed_at":"2026-08-12T10:13:16.332639Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.336920Z","title":"Segment anything","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.336920Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:1dc062e0b7c4e3daf0cd9d7dd1be317a909f060dfc06baae803853f49fee8fad","observation_id":"6aeff7b8-e279-410e-ba0b-f58839d03987","resolution":{"observed_at":"2026-08-12T10:13:16.336920Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.07193","last_updated":"2024-02-02T10:24:09Z","snapshot_observed_at":"2026-08-17T13:03:40.359628Z","submitted_at":"2023-04-14T15:12:19Z","title":"DINOv2: Learning Robust Visual Features without Supervision","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.07193","snapshot_observed_at":"2026-08-12T10:13:16.341133Z","title":"Dinov2: Learning robust visual features without supervision","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.341133Z"},"links":{"cited_paper":"/paper/2304.07193","citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:b5d3d6b0b28efbd444d36bd257a348101f9261603f645cae6e4bde9ed4a21d7c","observation_id":"98b52f34-e315-414c-924d-a276f32f807f","resolution":{"observed_at":"2026-08-12T10:13:16.341133Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09481","last_updated":"2024-05-08T03:21:34Z","snapshot_observed_at":"2026-08-16T15:15:13.894611Z","submitted_at":"2023-07-18T17:59:02Z","title":"AnyDoor: Zero-shot Object-level Image Customization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09481","snapshot_observed_at":"2026-08-12T10:13:16.345401Z","title":"Anydoor: Zero-shot object-level image customization","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.345401Z"},"links":{"cited_paper":"/paper/2307.09481","citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:a3368930f4e3d16abcf9397d3f72feb1fb456803416d7c41eaea192e27bed755","observation_id":"ddab5bda-3691-446e-b254-097ec8cb6c70","resolution":{"observed_at":"2026-08-12T10:13:16.345401Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.04265","last_updated":"2024-04-18T08:33:37Z","snapshot_observed_at":"2026-08-18T17:07:19.118244Z","submitted_at":"2023-12-07T12:43:00Z","title":"Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation","version":5},"cited_work":{"arxiv_id":"2312.04265","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.04265","snapshot_observed_at":"2026-08-12T10:13:16.629077Z","title":"Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation","venue":"cs.CV","work_id":"57584b0f-bdac-49fa-a339-382236409a71","year":2023},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.350155Z"},"links":{"cited_paper":"/paper/2312.04265","citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:dc8093d14e84c4d0dab6bb9a0cb5bcbf4ca827e7d1a0caea28ed71e4dc3fe883","observation_id":"29a0343e-d5e6-449c-b55f-2e33ee2f6b24","resolution":{"observed_at":"2026-08-12T10:13:16.635129Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07713","last_updated":"2023-09-04T12:36:32Z","snapshot_observed_at":"2026-08-16T15:24:18.941622Z","submitted_at":"2023-06-13T12:00:49Z","title":"Robustness of SAM: Segment Anything Under Corruptions and Beyond","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.07713","snapshot_observed_at":"2026-08-12T10:13:16.354472Z","title":"Robustness of sam: Segment anything under corruptions and beyond","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.354472Z"},"links":{"cited_paper":"/paper/2306.07713","citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:be9c867c62dfef2cc3331612f4e1523e8f0732669aafb8962fd8d200ede89b26","observation_id":"ff4281ab-5de5-4eb3-a88d-e74f4aa57246","resolution":{"observed_at":"2026-08-12T10:13:16.354472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.07664","last_updated":"2025-02-11T14:05:29Z","snapshot_observed_at":"2026-08-16T14:01:47.797036Z","submitted_at":"2024-04-11T11:55:42Z","title":"Finding Dino: A Plug-and-Play Framework for Zero-Shot Detection of Out-of-Distribution Objects Using Prototypes","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.07664","snapshot_observed_at":"2026-08-12T10:13:16.358702Z","title":"Finding dino: A plug-and-play framework for unsupervised detection of out-of-distribution objects using prototypes","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.358702Z"},"links":{"cited_paper":"/paper/2404.07664","citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:fb71713503ff20df715bc0f5eefff47731e2a7fccdc500adff16a43a2d5196ea","observation_id":"f3b227fe-0753-496b-b568-82d3a7bd16ab","resolution":{"observed_at":"2026-08-12T10:13:16.358702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.363254Z","title":"LoRA: Low-rank adaptation of large language models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.363254Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:0496745a2f9e685cda667d81bf6ff3011b7d064927bf9532dc1a3a4c77ad7607","observation_id":"29b92088-3220-44c0-b6ca-19b656d4fa33","resolution":{"observed_at":"2026-08-12T10:13:16.363254Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:17.076895Z","title":"Visual prompt tuning","venue":null,"work_id":"b2df5a9f-3482-481a-a6c1-c47d7b06d41a","year":2022},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.367527Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:6d2911d8ffcb4ac5b63d1065d15f8fed9ab44e313c186a8c1def4d58ff2cd56a","observation_id":"8beec13f-0290-43dc-90db-753680ea0bb0","resolution":{"observed_at":"2026-08-12T10:13:17.082211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:17.062058Z","title":"Adapt- former: Adapting vision transformers for scalable visual recognition","venue":null,"work_id":"b411c804-5f02-42a1-9f3d-601e21202f87","year":2022},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.371518Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:a914699356b1fb386b03cb6f2adea8b8296f5e7098b81c7e9ba1bf38dc9024b8","observation_id":"ab46d94a-193e-429e-b3ef-bb741096244c","resolution":{"observed_at":"2026-08-12T10:13:17.067452Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.376030Z","title":"Swin transformer: Hierarchical vision transformer using shifted windows","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.376030Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:1683768b48603b1447323f55f039199d4a5c555658407959aeadc269fcf0406a","observation_id":"603b4e65-3343-42fc-88d5-9745157a8ab2","resolution":{"observed_at":"2026-08-12T10:13:16.376030Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.380470Z","title":"Training data-efficient image transformers & distillation through attention","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.380470Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:fb7743563cf793c6622046de3449c545c875d77506894ab08e124d1eceae595a","observation_id":"7f3cc927-0d65-44fb-b5c0-53cb956ece5b","resolution":{"observed_at":"2026-08-12T10:13:16.380470Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.385176Z","title":"Emerging properties in self-supervised vision transformers","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.385176Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:2101f04928c17f0d166e11100868827a274cc9fbff35d7d1d7f3045dce604315","observation_id":"e631d9cd-a7ba-4e65-af45-d128e2292a35","resolution":{"observed_at":"2026-08-12T10:13:16.385176Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:17.020835Z","title":"Parameter- efficient fine-tuning for medical image analysis: The missed opportunity","venue":null,"work_id":"efe52031-a23a-44af-b32b-9fa147051b01","year":2023},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.389444Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:889afd8a545efaa7911af3b1a5546fa28f897cedf7135c884f19ad964fe6075f","observation_id":"22fd299e-cb35-4a38-8d9a-448d3909be54","resolution":{"observed_at":"2026-08-12T10:13:17.025307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.393892Z","title":"Robust loss functions under label noise for deep neural networks","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.393892Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:4d07f421511fd582fce5d24be426266f2aeacab71cf287ae1cfe2cdc7765c789","observation_id":"8a3b6d02-950b-4fd6-aa8d-19a15efe0eee","resolution":{"observed_at":"2026-08-12T10:13:16.393892Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.997997Z","title":"Early-learning reg- ularization prevents memorization of noisy labels","venue":null,"work_id":"37d3acc8-62ff-441d-91bf-0b72dcf87870","year":2020},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.398375Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:e3c7785e6078a560f5c418c6312d466fdf9c6f8256f13592955a4b1e5f0b489d","observation_id":"5ea757c8-cb22-4c5b-96a1-2c24bf827876","resolution":{"observed_at":"2026-08-12T10:13:17.002510Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.402521Z","title":"Symmetric cross entropy for robust learning with noisy labels","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.402521Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:6efb553f27a0df1acde7b4a1fb3631422baf88e6b49b3f21e56e5a206c7827c5","observation_id":"46b2dd75-5230-4a5d-a556-a6863872af44","resolution":{"observed_at":"2026-08-12T10:13:16.402521Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.406612Z","title":"Generalized cross entropy loss for training deep neural networks with noisy labels","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.406612Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:9935ead91814d979b94f4975b1351a321ebe8fbbe340b348159b61a599f5a511","observation_id":"a1454865-3152-4a62-856a-073c817cbf24","resolution":{"observed_at":"2026-08-12T10:13:16.406612Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.963922Z","title":"Fine samples for learning with noisy labels","venue":null,"work_id":"1f6ca437-6b16-412f-a900-90ebf80df39b","year":2021},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.410807Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:dfad2d2b0b5eb608f12c87f2637f497f9924418580ea255d1c3a37249bac1b1a","observation_id":"d2841f49-f4c3-4de4-9f21-816ab15c7fb7","resolution":{"observed_at":"2026-08-12T10:13:16.969173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.07394","last_updated":"2020-02-18T06:20:06Z","snapshot_observed_at":"2026-08-17T14:10:48.435331Z","submitted_at":"2020-02-18T06:20:06Z","title":"DivideMix: Learning with Noisy Labels as Semi-supervised Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.07394","snapshot_observed_at":"2026-08-12T10:13:16.415080Z","title":"Dividemix: Learning with noisy labels as semi-supervised learning","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.415080Z"},"links":{"cited_paper":"/paper/2002.07394","citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:1733e648abaf4e8827a5e72c5b7189d2d102bd693aea1defc300d9374add7cb0","observation_id":"926e142e-8d73-4f05-bf57-af42d3de5be1","resolution":{"observed_at":"2026-08-12T10:13:16.415080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.949243Z","title":"Learning from noisy data with robust representation learning","venue":null,"work_id":"b75e79ab-ed6b-44e0-b86f-36ab4b5e4fea","year":2021},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.419980Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:69779a61bb5663ed11c8af4955ac3cfc4a689e950b5da72a67bd21d4781090ca","observation_id":"7e0745cc-a2ba-420c-a5a1-e1312f81028e","resolution":{"observed_at":"2026-08-12T10:13:16.954545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.935045Z","title":"when to update","venue":null,"work_id":"9904a1cf-f193-4e48-b72f-3a9b3e695de8","year":2017},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.424112Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:5f5896d3e8396c09d7839c280d6c906362fe5cf1e570c8d972916a52f08c32a8","observation_id":"de0c36b8-cf05-4621-bec5-1b7ff882523a","resolution":{"observed_at":"2026-08-12T10:13:16.939775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.920356Z","title":"Using pre-training can improve model robustness and uncertainty","venue":null,"work_id":"21dbda2f-721d-472e-9315-59313aab7cfa","year":2019},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.428353Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:68b5be74a8ac87cae366d669ff9431a849c6795575f4147fc64278fd17ea722a","observation_id":"fc07abd8-9bc5-40e1-9945-14d6656d137e","resolution":{"observed_at":"2026-08-12T10:13:16.924974Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.904844Z","title":"Why is prompt tuning for vision-language models robust to noisy labels? In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 15488–15497, 2023","venue":null,"work_id":"0199a997-6378-416e-a7b8-65f86ba24d93","year":2023},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.432377Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:3e69776ba185f6b9304c48ad2c8e5531a3de7d01a27e3c5bd4109ae037936eb3","observation_id":"60280c1f-08fd-4769-a169-1638a70876cb","resolution":{"observed_at":"2026-08-12T10:13:16.910127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1607.06450","last_updated":"2016-07-21T19:57:52Z","snapshot_observed_at":"2026-08-15T04:53:45.483331Z","submitted_at":"2016-07-21T19:57:52Z","title":"Layer Normalization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1607.06450","snapshot_observed_at":"2026-08-12T10:13:16.436395Z","title":"Layer normalization","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.436395Z"},"links":{"cited_paper":"/paper/1607.06450","citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:fbdb5b62616977a49d0518c0803248289bb8e06ebcef95eb792f39541f3610ea","observation_id":"dd30c413-1881-4787-91ed-daf220878e0f","resolution":{"observed_at":"2026-08-12T10:13:16.436395Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.440865Z","title":"The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.440865Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:7a521bb52cf89850b2ca07c8ddcecf5c00ec6320236ec9580a533809f3c98f50","observation_id":"e98e6104-6606-4949-bd61-8c61b56d3243","resolution":{"observed_at":"2026-08-12T10:13:16.440865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.879905Z","title":"Deep learning based method for computer aided diagnosis of diabetic retinopathy","venue":null,"work_id":"282d12f9-3e18-417a-9f6e-2f493995c0af","year":2019},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.445004Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:387478f89467c9bca693fe8d1ff010e45e5c54700c00ede6a5e23711eeaf7f10","observation_id":"3d02fdee-e650-4e5f-a82a-4ae3b8917157","resolution":{"observed_at":"2026-08-12T10:13:16.884930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.866050Z","title":"A dataset of microscopic peripheral blood cell images for development of automatic recognition systems","venue":null,"work_id":"34d7975f-5cdf-4316-b74d-4d5eb1dcf9fd","year":2020},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.449541Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:1494a158b05cd088e6527082a90ba8e8b90e7e7c9632f2419e0e13348ae984f2","observation_id":"3bee3cda-2adf-427c-9c6d-43a30a4aee06","resolution":{"observed_at":"2026-08-12T10:13:16.870534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.849153Z","title":"Efficient multiple organ localization in ct image using 3d region proposal network","venue":null,"work_id":"f2adebfa-3f58-4bea-b204-5420289d2b95","year":2019},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.454060Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:877e5ec79464210c1f337cbfea563ad8e7ce5f3f8ac00f6bc1ac620600b83dec","observation_id":"cea7d7c5-a0d3-47b2-b57a-fd33af2c2ddc","resolution":{"observed_at":"2026-08-12T10:13:16.855786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.834755Z","title":"https://www.kaggle.com/c/ diabetic-retinopathy-detection","venue":null,"work_id":"0c826011-c2c8-45c4-bae4-37ab3d1977eb","year":null},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.458257Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:9ca2313b022a7904b045caa6ec9ad8bbed4ba63524abd99bbab8695fef6e4096","observation_id":"a6684e6b-bc15-4d67-9a85-bcb25124e0b3","resolution":{"observed_at":"2026-08-12T10:13:16.839231Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.819109Z","title":"https://challenge.isic-archive.com/landing/2018/","venue":null,"work_id":"28125606-0a25-46f9-9b0d-473711fe48a6","year":2018},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.462846Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:3fb6a90921a4acd6822447277bae212801075f3231cd86e75fc45f9fd70d8778","observation_id":"02184b52-8444-45d7-bfc5-57edbbbc5a84","resolution":{"observed_at":"2026-08-12T10:13:16.823630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.803653Z","title":"Retinal abnormalities recognition using regional multitask learning","venue":null,"work_id":"90235ccf-b01a-492d-9520-1d72901a34b4","year":2019},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.467078Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:b4aa0b1e7093667c01b2cdeed764a4d4710d14aef526377c8ad39f1e1a739dbd","observation_id":"ce9a559f-af5a-4e46-bce2-c2bd9e95caf5","resolution":{"observed_at":"2026-08-12T10:13:16.808266Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.788490Z","title":"A benchmark for studying diabetic retinopathy: segmentation, grading, and transferability","venue":null,"work_id":"083da576-f1e3-4bd3-a3b0-f92ac361a227","year":2020},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.471256Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:c1606760e906d035e793c464a88a173593444294b876c37a9842b212cf3357b9","observation_id":"7aeaab94-9c0a-4bf7-aaf7-9a6fbdacacb3","resolution":{"observed_at":"2026-08-12T10:13:16.793894Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.774066Z","title":"Gradient and feature conformity-steered medical image classification with noisy labels","venue":null,"work_id":"51c4e892-fba4-47fa-a516-83c5fa872d91","year":2023},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.475877Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:582c643835f9b65f35a13129a02025320f6ecf5c30eef69a4b9e4fef82ca57e7","observation_id":"9774d188-e67d-4fed-94af-18e382a55336","resolution":{"observed_at":"2026-08-12T10:13:16.778708Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.759251Z","title":"Combating medical label noise via robust semi-supervised contrastive learning","venue":null,"work_id":"c38fe251-a94a-4d44-8427-7b191dca947a","year":2023},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.480270Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:a565a3993b375838c87b4c5efbfa23cdafc6f1876f806a097850cd55fed5ba33","observation_id":"1634527e-816c-4349-97c4-6ce55348c15c","resolution":{"observed_at":"2026-08-12T10:13:16.763826Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.485283Z","title":"PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.485283Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:3443e82dd5f7f52c599807cac0026fa80d72c006eb09b31fc2ab292b31bf49a6","observation_id":"4dabc713-b602-4dbf-a6be-bcecc17c0a56","resolution":{"observed_at":"2026-08-12T10:13:16.485283Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.490820Z","title":"Medmnist classification decathlon: A lightweight automl benchmark for medical image analysis","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.490820Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:c2ec3f08b5d3bf5c1ebfe1609720f6f66b5645098fd1dc815c14962f33f8c4ba","observation_id":"c5085872-3a82-49fa-a548-3e3a530a5867","resolution":{"observed_at":"2026-08-12T10:13:16.490820Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.495292Z","title":"Medmnist v2-a large-scale lightweight benchmark for 2d and 3d biomedical image classification","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.495292Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:f290ad16fa965d3a14a830d90038f6249b386488e993e7e8d16ec86e866f84eb","observation_id":"a2a4b47f-1d68-4858-baa9-d68942708fcf","resolution":{"observed_at":"2026-08-12T10:13:16.495292Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-17T19:26:44.032537Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-12T10:13:16.500055Z","title":"Kingma and Jimmy Ba","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.500055Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:f8a7eef5b0f4044eaecbe73dba38178d928b13b4da15104d57b5f899cd149e42","observation_id":"f9a836a1-57af-41f8-b113-a215cf839c50","resolution":{"observed_at":"2026-08-12T10:13:16.500055Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.504154Z","title":"Classification with noisy labels by importance reweighting","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.504154Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:e4e6dfa4b485c6b5ea2960a4cd9c46cea4f27ae9d86b073cd5848ffe454764b9","observation_id":"079f55f8-fa32-42fd-99cb-a33575f936a5","resolution":{"observed_at":"2026-08-12T10:13:16.504154Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.707020Z","title":"Large-scale domain-specific pretraining for biomedical vision-language processing, 2023","venue":null,"work_id":"af9feb1f-26d9-4fc6-b179-1ffa86a34b0d","year":2023},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.508441Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:06dcef4198529a1fb33750fee3ed313b5feb2658623ba3c3baa5f288a9a5d349","observation_id":"a81405cd-a867-4c6f-9d88-8cba732c0d15","resolution":{"observed_at":"2026-08-12T10:13:16.712628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.512632Z","title":"Imagenet: A large-scale hierarchical image database","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.512632Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:304aa6b6fb42f8bcdff240c9ab0212f4acb93d184b3bcda6a3817f79ee819f08","observation_id":"68589d5d-5dab-4e6f-a37c-beb8f2ed23d7","resolution":{"observed_at":"2026-08-12T10:13:16.512632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.683926Z","title":"SELFIE: Refurbishing unclean samples for robust deep learning","venue":null,"work_id":"ded173bb-e797-4beb-8294-c9fbc05ff7b9","year":2019},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.517732Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:585f7222204e1c961e382c43375583b0b35cc6e9855a442f41d3b920f9b85b5a","observation_id":"51cbafb5-fc27-44c9-a55e-c9b325403e4b","resolution":{"observed_at":"2026-08-12T10:13:16.688845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:13:16.522723Z","title":"Learning multiple layers of features from tiny images","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:16.522723Z"},"links":{"citing_paper":"/paper/2412.00150"},"observation_digest":"sha256:45c96cc2b3025d2062b80fd2eacf0ef13ff4b9d2bd7f5987ac7e224ec8f9820d","observation_id":"626d5e22-c6b0-4ae5-96c8-306d8585159b","resolution":{"observed_at":"2026-08-12T10:13:16.522723Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.00150","last_updated":"2024-11-29T05:18:52Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T11:23:39.165244Z","submitted_at":"2024-11-29T05:18:52Z","title":"Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise"},"reference_resolution":{"displayed":60,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":31,"verified_exact":1,"verified_fuzzy":28},"total_outbound_references":60},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2412.00150."}