{"as_of":"2026-08-20T13:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1ec790ea7e096719418f194fb2d202b262c387c50b50a6207701a009114ef98e","coverage":[{"denominator":25,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":25,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T16:26:31.555787Z","state":"measured"},{"denominator":25,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":25,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+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/2502.01158/citation-record","integrity":"/paper/2502.01158/integrity","json":"/paper/2502.01158/citation-record.json","paper":"/paper/2502.01158"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2206.08516","last_updated":"2023-07-09T12:46:01Z","snapshot_observed_at":"2026-08-16T16:52:22.213582Z","submitted_at":"2022-06-17T02:36:23Z","title":"MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.08516","snapshot_observed_at":"2026-08-09T16:26:31.473109Z","title":"Metafed: Federated learning among federations with cyclic knowledge distillation for personalized healthcare.arXiv preprint arXiv:2206.08516,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.473109Z"},"links":{"cited_paper":"/paper/2206.08516","citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:6eeabfea578afe23cc531b5e9046fd487192504d70e1499e71e3942d83606313","observation_id":"02f4649b-f481-4883-9c18-817aaae8fb07","resolution":{"observed_at":"2026-08-09T16:26:31.473109Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.07027","last_updated":"2023-03-02T14:49:06Z","snapshot_observed_at":"2026-08-16T16:45:55.848084Z","submitted_at":"2022-07-14T15:59:03Z","title":"MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.07027","snapshot_observed_at":"2026-08-09T16:26:31.490816Z","title":"Medfuse: Multi-modal fusion with clinical time-series data and chest x-ray images.arXiv preprint arXiv:2207.07027,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.490816Z"},"links":{"cited_paper":"/paper/2207.07027","citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:877d1a8a180d1370133b1711c96b5c8ad84def1480639d63a793886bd8b81705","observation_id":"37d2f7f6-b7d0-4bec-9b34-e1278cb981ec","resolution":{"observed_at":"2026-08-09T16:26:31.490816Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02531","last_updated":"2015-03-09T15:44:49Z","snapshot_observed_at":"2026-08-16T18:00:58.008096Z","submitted_at":"2015-03-09T15:44:49Z","title":"Distilling the Knowledge in a Neural Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-09T16:26:31.495091Z","title":"Distilling the knowledge in a neural network.arXiv preprint arXiv:1503.02531,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.495091Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:e2fc134c43f5dc4cd5464f54748b32b676dee228a59c51ce76b543f68b02e05c","observation_id":"0100c007-e3bc-45a8-8f9a-3b3d665c5470","resolution":{"observed_at":"2026-08-09T16:26:31.495091Z","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":"2026-08-09T16:26:31.498998Z","title":"Knowledge distillation from multi-modal to mono-modal segmentation networks","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.498998Z"},"links":{"citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:4096fda8c0b5916c9c1290c53ca531b47d96a7208df3388e5bf367d77b8a9a0a","observation_id":"702948b6-c16c-4e45-be02-0eb4817d8f0d","resolution":{"observed_at":"2026-08-09T16:26:31.498998Z","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":"2026-08-09T16:26:31.875115Z","title":"Vertical federated knowledge transfer via representation distillation for healthcare collaboration networks","venue":null,"work_id":"a20af779-980b-46e0-8ce7-425a371c5853","year":2023},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.502791Z"},"links":{"citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:7311ff42f18b6f2643de230396504a6c0acdd333f4001fd1024f6d3457d4dc6d","observation_id":"18e4076b-6af3-4d61-866e-957adbb4baac","resolution":{"observed_at":"2026-08-09T16:26:31.878875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-09T16:26:31.506931Z","title":"Enhancing chinesemulti-labeltextclassificationperformancewithresponse-basedknowledgedistillation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.506931Z"},"links":{"citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:2553f40abdabdfa088e285b69380931e37c7e06c324c91f2335090ada3668cfe","observation_id":"5f9c9918-fb7f-4143-b5f8-5b84c2ae4403","resolution":{"observed_at":"2026-08-09T16:26:31.506931Z","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":"2026-08-09T16:26:31.859182Z","title":"Safenet: A secure, accurate and fast neural network inference","venue":null,"work_id":"fcca2641-115e-4cfd-82fd-683162f0e97f","year":2025},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.514901Z"},"links":{"citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:82bab42c8d7229644ac8f26b3af2c9a627e3fe6e7cc3f4e393e330d11b7dcf3b","observation_id":"b3cfb8ef-9f43-4bcc-a66a-8b7abcbc8a29","resolution":{"observed_at":"2026-08-09T16:26:31.863055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-09T16:26:31.849197Z","title":"Leukocyte classification using multimodal architecture enhanced by knowledge distillation","venue":null,"work_id":"b0459f2e-f741-4f01-b3aa-0a26d3edfcc1","year":2022},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.522753Z"},"links":{"citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:ab3e886c148c494f96b4fb7110928748a0f65f3a4986b8bb8821d7f59018bd65","observation_id":"a786d48e-28df-422c-8688-c08637136864","resolution":{"observed_at":"2026-08-09T16:26:31.852767Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-09T16:26:31.829839Z","title":"For modality A, we use chest X-ray images (CXR) extracted from the MIMIC-CXR dataset (Johnson et al., 2019b)","venue":null,"work_id":"5e93e61d-6864-479a-a0d3-7c0ca8d771bb","year":2022},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.529717Z"},"links":{"citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:d656262cae975bb87ae320f31ccb8b3050289f3ef84161afac9197683c18b8b0","observation_id":"9a926b30-f20c-497f-b52b-0b25fd0010f6","resolution":{"observed_at":"2026-08-09T16:26:31.833442Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-09T16:26:31.820397Z","title":null,"venue":null,"work_id":"06aa65d4-d708-4324-8345-e4383f71e3b9","year":2022},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.533211Z"},"links":{"citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:abe058f22baa58482befe3ae221c7bf03f1430d25c62660ad238cab937f9296e","observation_id":"1c2483db-7eeb-4383-b910-abbfffa8341a","resolution":{"observed_at":"2026-08-09T16:26:31.823752Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-09T16:26:31.809981Z","title":"It is a typical multimodal architecture proposed for medical tasks, featuring two modality encoders: a ResNet-34 for CXR images and a 2-layer LSTM for time-series data","venue":null,"work_id":"1504b125-258e-4761-9608-2cc00cac13de","year":2020},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.537106Z"},"links":{"citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:272907d978fe70198416294206e5e11d021c64a867a9f3c006cbee91b6e72524","observation_id":"99ec5612-cd64-4593-bcb9-bd668776ab6c","resolution":{"observed_at":"2026-08-09T16:26:31.813905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-09T16:26:31.799198Z","title":"The prediction for a multimodal instance is obtained by weighting the predictions of an ensemble of unimodal models (one model per modality)","venue":null,"work_id":"1f3c9b37-8a40-403b-b388-92504f6edb70","year":2023},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.540784Z"},"links":{"citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:0a5141ceef7f24f1c1790c74d66b61f6e428ea18e567c033e010113158cc0fab","observation_id":"565c357f-6892-4b20-ad3d-8214f182dbb0","resolution":{"observed_at":"2026-08-09T16:26:31.803163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-09T16:26:31.788644Z","title":"B.2 Label-wise AUPRC performance Figure B1 compares the label-wise AUPRC performance of the MIND model with that of TS, the best baseline","venue":null,"work_id":"b864cdda-29db-4707-93b7-3645ae057bee","year":2025},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.544572Z"},"links":{"citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:d7ae2908e559ffa63cd79474613b294147a132248f03456a4528f4e8a2c8a89a","observation_id":"dec11643-4697-4c2b-b66e-e2e57abc82fd","resolution":{"observed_at":"2026-08-09T16:26:31.792649Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-09T16:26:31.777535Z","title":"Comparison of AUPRC performance between the MIND model and the best baseline (TS) for each clinical condition label and group (acute, mixed, and chronic)","venue":null,"work_id":"79480273-886f-4ba6-83e4-a795652075f3","year":2025},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.548329Z"},"links":{"citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:a1ed39f71490aabd44a37eb032335d391e3018d06f7648efea33d2e749a41815","observation_id":"1e2e0554-adb8-47da-98d8-84df6c57a274","resolution":{"observed_at":"2026-08-09T16:26:31.781662Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-09T16:26:31.767165Z","title":"It includes 7,442 video clips from 91 actors, each speaking a selection of 12 sentences","venue":null,"work_id":"a2d42fc8-4b00-4514-b3a7-58c3877c36a8","year":2025},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.552299Z"},"links":{"citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:d08753b2412a94235d278ddf6e6d5bff72d667ce5a75ab2c8e8f8dbf23e9f93c","observation_id":"e5f29372-b437-44ae-9167-85b4cd5a87ac","resolution":{"observed_at":"2026-08-09T16:26:31.771199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-09T16:26:31.756444Z","title":"The image modality includes images from a 50-class subset of the CIFAR-10 and CIFAR-100 datasets, while the audio modality contains utterances of the class labels","venue":null,"work_id":"bd73fa6a-a626-47fe-9166-74d7efa65afe","year":2025},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.555787Z"},"links":{"citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:7728ff81531de5f851af35da33cb06e408e7bdcd018979a06fe64792ecafb606","observation_id":"9c694e70-45e2-41df-9b7b-5ce6d3e993b0","resolution":{"observed_at":"2026-08-09T16:26:31.760545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.09864","last_updated":"2025-08-13T10:18:32Z","snapshot_observed_at":"2026-08-16T13:43:02.334916Z","submitted_at":"2024-06-14T09:22:07Z","title":"LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data","version":3},"cited_work":{"arxiv_id":"2406.09864","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.09864","snapshot_observed_at":"2026-08-09T16:26:31.742240Z","title":"LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data","venue":"cs.LG","work_id":"d34b3424-9097-4658-b444-5ff8a0f431f4","year":2024},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":2012,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.468469Z"},"links":{"cited_paper":"/paper/2406.09864","citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:56014cd5d29214b20b5bc396a33719cd247eef917cc3cdea06ba3d3c173c412c","observation_id":"beb192f3-4616-4345-aa80-72cbd8fac1fe","resolution":{"observed_at":"2026-08-09T16:26:31.748398Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-09T16:26:31.912312Z","title":"A methodology for training homomorphic encryption friendly neural networks","venue":null,"work_id":"c404100c-dcdd-48e1-bcf2-ec5b808a57eb","year":2022},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.464388Z"},"links":{"citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:7ebbf62f88cb6c98d82606a6d78ccafe3d4d62300ab4d395971427bbf507a76e","observation_id":"f38d4340-d869-489c-aad6-20592904a9c0","resolution":{"observed_at":"2026-08-09T16:26:31.916025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-09T16:26:31.839707Z","title":"MedFuse (Hayat et al.,","venue":null,"work_id":"520939bd-f5b3-4123-8741-7d2a465837e8","year":2025},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.526258Z"},"links":{"citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:31659e597ae049463a9d0ec888dacf573662b76bc104f198dff97c1d41be5ec9","observation_id":"e0cb5083-10b7-4feb-9abb-9f4892747267","resolution":{"observed_at":"2026-08-09T16:26:31.843287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.00548","last_updated":"2022-04-01T16:15:39Z","snapshot_observed_at":"2026-08-16T17:09:54.763939Z","submitted_at":"2022-04-01T16:15:39Z","title":"Unified and Effective Ensemble Knowledge Distillation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.00548","snapshot_observed_at":"2026-08-09T16:26:31.518583Z","title":"Multimodal learning with incomplete modalities by knowledge distillation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.518583Z"},"links":{"cited_paper":"/paper/2204.00548","citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:815d4c70cdd43d98938ddd7e01ad8afcfa455cda2f131a28278392c6c80bd72f","observation_id":"af2e73a3-b682-4690-ae76-425af8836b9b","resolution":{"observed_at":"2026-08-09T16:26:31.518583Z","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":"2026-08-09T16:26:31.891350Z","title":"CRC press,","venue":null,"work_id":"2618eb43-682b-44c9-bc39-6700df2e79c9","year":2025},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.486954Z"},"links":{"citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:28fb21550a77cb69a230af545d8529147359da54a1e43025ca64d8d7303ff102","observation_id":"db3c3ebc-c0bf-43aa-aac4-017b3f05ea3a","resolution":{"observed_at":"2026-08-09T16:26:31.895332Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-09T16:26:31.923004Z","title":"Ensemble knowledge distillation for learning improved and efficient networks","venue":null,"work_id":"3ffbdfa3-0c68-4fc0-a40e-efdb5b73c253","year":2020},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.460055Z"},"links":{"citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:0053d995d130f27787d19550c4fc249de605d023f4a9e3b142703c78f53c6d53","observation_id":"7ab9a8ec-5a1d-4fae-ab18-e64fa478a5b3","resolution":{"observed_at":"2026-08-09T16:26:31.926787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.06386","last_updated":"2022-03-30T06:01:53Z","snapshot_observed_at":"2026-08-16T17:15:08.414872Z","submitted_at":"2022-03-12T09:33:37Z","title":"Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.06386","snapshot_observed_at":"2026-08-09T16:26:31.477167Z","title":"Enabling multimodal generation on clip via vision-language knowledge distillation.arXiv preprint arXiv:2203.06386,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.477167Z"},"links":{"cited_paper":"/paper/2203.06386","citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:135673a700ea086332ba264204d83fe90e0169acdd33b79c44df7d8e2505f491","observation_id":"cf98b701-997f-48be-85b9-26f30fa727b5","resolution":{"observed_at":"2026-08-09T16:26:31.477167Z","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":"2026-08-09T16:26:31.901959Z","title":"Squeezebiobert: Biobert distillation for healthcare natural language processing","venue":null,"work_id":"1e1f207c-1a76-4bf2-b47d-d32db98b837e","year":2020},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.482771Z"},"links":{"citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:e1617f31a6b3f5f16e40ee6f7e52778e119991af1e636a9c2d668eb9b6824464","observation_id":"d31a0518-fa2d-40b7-8940-0781d295ce1e","resolution":{"observed_at":"2026-08-09T16:26:31.905799Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-09T16:26:31.510843Z","title":"Alistair EW Johnson, Tom J Pollard, Seth J Berkowitz, Nathaniel R Greenbaum, Matthew P Lungren, Chih-ying Deng, Roger G Mark, and Steven Horng","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-09T16:26:31.510843Z"},"links":{"citing_paper":"/paper/2502.01158"},"observation_digest":"sha256:d0ea2853f9f4884d9805b6136b1c805aadae20ec50b51d83650e8eb9ed6c838a","observation_id":"df988e91-7927-41ee-8aa0-db4c04380d25","resolution":{"observed_at":"2026-08-09T16:26:31.510843Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2502.01158","last_updated":"2025-02-03T08:50:00Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-20T05:33:24.065502Z","submitted_at":"2025-02-03T08:50:00Z","title":"MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks"},"reference_resolution":{"displayed":25,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":1,"verified_fuzzy":15},"total_outbound_references":25},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2502.01158."}