{"as_of":"2026-08-23T06:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:de87adf8f000d480f12cbe28d02794b43208a967afc4fd7b3e2580283b2ae35d","coverage":[{"denominator":18,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T17:54:15.770762Z","state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+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/2604.07936/citation-record","integrity":"/paper/2604.07936/integrity","json":"/paper/2604.07936/citation-record.json","paper":"/paper/2604.07936"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Development and valida- tion of a deep learning model to quantify glomerulosclerosis in kidney biopsy specimens","venue":null,"work_id":"6fedc712-add1-4550-846e-f2fcfe7082ee","year":2021},"citing_paper":{"arxiv_id":"2604.07936","last_updated":"2026-04-10T06:24:13Z","snapshot_observed_at":"2026-07-06T22:57:09.435331Z","submitted_at":"2026-04-09T07:55:05Z","title":"Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-10T17:54:15.770762Z"},"links":{"citing_paper":"/paper/2604.07936"},"observation_digest":"sha256:6b9a83faa525e2443369d65084e12909be9b977830bafda3361e6d71ebbc06fa","observation_id":"082a3c0d-0ca1-4d13-a200-c64fde900040","resolution":{"observed_at":"2026-05-17T08:21:40.565851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-05T21:23:00.469572Z","title":"Glomerulus classification and detection based on convolu- tional neural networks","venue":null,"work_id":"14b413a2-6dec-49bc-a75b-f1fcebe7d141","year":2018},"citing_paper":{"arxiv_id":"2604.07936","last_updated":"2026-04-10T06:24:13Z","snapshot_observed_at":"2026-07-06T22:57:09.435331Z","submitted_at":"2026-04-09T07:55:05Z","title":"Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T17:54:15.770762Z"},"links":{"citing_paper":"/paper/2604.07936"},"observation_digest":"sha256:78e3a03d2e8b1bfae8194af1b367e76869245fff2deccb77513dc3dc892833c8","observation_id":"c91a52a9-95c6-4ec0-a2c1-81370ca5516d","resolution":{"observed_at":"2026-05-17T08:21:40.570033Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-05T21:23:00.469572Z","title":"Faster r-cnn-based glomerular detection in multistained human whole slide images","venue":null,"work_id":"777f8dc9-4da0-4b75-8045-d71a755b0afd","year":2018},"citing_paper":{"arxiv_id":"2604.07936","last_updated":"2026-04-10T06:24:13Z","snapshot_observed_at":"2026-07-06T22:57:09.435331Z","submitted_at":"2026-04-09T07:55:05Z","title":"Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T17:54:15.770762Z"},"links":{"citing_paper":"/paper/2604.07936"},"observation_digest":"sha256:3aa3b55f8805159584c8af2773058d12219bbe546c65f7070a7e2cacb49bf2cf","observation_id":"59992749-c9a5-44b7-95c5-8c99ade61fbc","resolution":{"observed_at":"2026-05-17T08:21:40.562512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-05T21:23:00.469572Z","title":"Pathospotter-k: A computational tool for the automatic identification of glomeru- lar lesions in histological images of kidneys","venue":null,"work_id":"f2f51648-b43e-457b-9bc6-7a2354f1e5e8","year":2017},"citing_paper":{"arxiv_id":"2604.07936","last_updated":"2026-04-10T06:24:13Z","snapshot_observed_at":"2026-07-06T22:57:09.435331Z","submitted_at":"2026-04-09T07:55:05Z","title":"Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T17:54:15.770762Z"},"links":{"citing_paper":"/paper/2604.07936"},"observation_digest":"sha256:eb7807e23c49eaac427f2c0ae3c7c1cd4486b4c08be9e3cf90f2203339a07a00","observation_id":"81a11f49-9f91-4904-9d61-ffad445ba094","resolution":{"observed_at":"2026-05-17T08:21:40.540760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-05T21:23:00.469572Z","title":"Segmenta- tion of glomeruli within trichrome images using deep learn- ing","venue":null,"work_id":"618966d5-240c-4c70-b31a-771b81025bf3","year":2019},"citing_paper":{"arxiv_id":"2604.07936","last_updated":"2026-04-10T06:24:13Z","snapshot_observed_at":"2026-07-06T22:57:09.435331Z","submitted_at":"2026-04-09T07:55:05Z","title":"Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T17:54:15.770762Z"},"links":{"citing_paper":"/paper/2604.07936"},"observation_digest":"sha256:2d0997ff3b2c32c43ce0f9c38bd5a653941895280a3f12c08896bc4e243e8fd0","observation_id":"c042dfc3-7002-41a1-91cf-cfdcfb560ee4","resolution":{"observed_at":"2026-05-17T08:21:40.515834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-05T21:23:00.469572Z","title":"Deep learning global glomerulosclerosis in trans- plant kidney frozen sections","venue":null,"work_id":"751dacd7-312f-4e77-8ba0-b9542198519f","year":2018},"citing_paper":{"arxiv_id":"2604.07936","last_updated":"2026-04-10T06:24:13Z","snapshot_observed_at":"2026-07-06T22:57:09.435331Z","submitted_at":"2026-04-09T07:55:05Z","title":"Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-10T17:54:15.770762Z"},"links":{"citing_paper":"/paper/2604.07936"},"observation_digest":"sha256:08162d0be7502156ae33832dc6817df30b26b7756e7e2e55a5c5130141e8fc95","observation_id":"aa5d0439-1d07-4a86-bf2b-8e9684d7985a","resolution":{"observed_at":"2026-05-17T08:21:40.559058Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-05T21:23:00.469572Z","title":"Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for compu- tational pathology","venue":null,"work_id":"b129ff96-6178-488e-ae23-e59a01de9c12","year":2019},"citing_paper":{"arxiv_id":"2604.07936","last_updated":"2026-04-10T06:24:13Z","snapshot_observed_at":"2026-07-06T22:57:09.435331Z","submitted_at":"2026-04-09T07:55:05Z","title":"Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T17:54:15.770762Z"},"links":{"citing_paper":"/paper/2604.07936"},"observation_digest":"sha256:9c17e7d3e784291a8e681e088bd1720a28001b51e1f4b80e7c71ab7e9c933b57","observation_id":"2ec5186c-6b9f-4398-bdf2-cf7398da5819","resolution":{"observed_at":"2026-05-17T08:21:40.531692Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-05T21:23:00.469572Z","title":"Stain normalization methods for histopathology image analysis: A comprehensive review and experimental comparison","venue":null,"work_id":"50d2f0b4-7ea0-4d65-9b46-d40da50f112a","year":2024},"citing_paper":{"arxiv_id":"2604.07936","last_updated":"2026-04-10T06:24:13Z","snapshot_observed_at":"2026-07-06T22:57:09.435331Z","submitted_at":"2026-04-09T07:55:05Z","title":"Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T17:54:15.770762Z"},"links":{"citing_paper":"/paper/2604.07936"},"observation_digest":"sha256:ad4160062b1c286e1a3b54b032762e3d7cac2e9828aa45b07c73180822e42779","observation_id":"ea8e4527-d98a-43dd-bad0-996b086e09f9","resolution":{"observed_at":"2026-05-17T08:21:40.536946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-05T21:23:00.469572Z","title":"Evaluating the effec- tiveness of stain normalization techniques in automated grad- ing of invasive ductal carcinoma histopathological images","venue":null,"work_id":"f4b09d74-5075-4071-8213-044226c489c2","year":2023},"citing_paper":{"arxiv_id":"2604.07936","last_updated":"2026-04-10T06:24:13Z","snapshot_observed_at":"2026-07-06T22:57:09.435331Z","submitted_at":"2026-04-09T07:55:05Z","title":"Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-10T17:54:15.770762Z"},"links":{"citing_paper":"/paper/2604.07936"},"observation_digest":"sha256:008f23721b5d97c9e741b8198dbf136ff207ad0f6e320ef480c9aa14b304b5e5","observation_id":"91f77d3e-3de3-449d-b57d-16e9ac63a38c","resolution":{"observed_at":"2026-05-17T08:21:40.549969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-05T21:23:00.469572Z","title":"The impact of site-specific digital histology signatures on deep learning model accuracy and bias","venue":null,"work_id":"2fd8758e-0cc2-4e31-ad9d-c8adb9466125","year":2021},"citing_paper":{"arxiv_id":"2604.07936","last_updated":"2026-04-10T06:24:13Z","snapshot_observed_at":"2026-07-06T22:57:09.435331Z","submitted_at":"2026-04-09T07:55:05Z","title":"Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-10T17:54:15.770762Z"},"links":{"citing_paper":"/paper/2604.07936"},"observation_digest":"sha256:abc15a2140b745bf256155ea5e1b4b0637cf0aa6220fad5187fea5d87875f2a4","observation_id":"fdef55c0-83fc-4d78-a4a1-cfc858c55dea","resolution":{"observed_at":"2026-05-17T08:21:40.556425Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-05T21:23:00.469572Z","title":"Rand- stainna: Learning stain-agnostic features from histology slides by bridging stain augmentation and normalization","venue":null,"work_id":"afcbe7fd-f6f3-4cf8-8142-d5ece87fb2e7","year":2022},"citing_paper":{"arxiv_id":"2604.07936","last_updated":"2026-04-10T06:24:13Z","snapshot_observed_at":"2026-07-06T22:57:09.435331Z","submitted_at":"2026-04-09T07:55:05Z","title":"Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-10T17:54:15.770762Z"},"links":{"citing_paper":"/paper/2604.07936"},"observation_digest":"sha256:6ad640aec8d3cc48707901ecc27374f18be93d638ba03cb4f7e9f025cd049e92","observation_id":"7ee4b760-0aaf-4c29-be83-2f6c08aac83e","resolution":{"observed_at":"2026-05-17T08:21:40.540036Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-05T21:23:00.469572Z","title":"Randstainna++: Enhance random stain augmentation and normalization through foreground and background differ- entiation","venue":null,"work_id":"3b3b05f5-2a42-4add-b921-ce841b8d7226","year":2024},"citing_paper":{"arxiv_id":"2604.07936","last_updated":"2026-04-10T06:24:13Z","snapshot_observed_at":"2026-07-06T22:57:09.435331Z","submitted_at":"2026-04-09T07:55:05Z","title":"Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-10T17:54:15.770762Z"},"links":{"citing_paper":"/paper/2604.07936"},"observation_digest":"sha256:e394bcb1e7b5cc2cf44a338d004a3ca38ef5e2cd2376751da2585ddc3e66c81e","observation_id":"1adf279b-6811-4b3b-a342-915507b92afc","resolution":{"observed_at":"2026-05-17T08:21:40.543873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-05T21:23:00.469572Z","title":"Domain-adversarial training of neural net- works","venue":null,"work_id":"6765e500-ddb7-4d65-ad34-81e36446b53f","year":2016},"citing_paper":{"arxiv_id":"2604.07936","last_updated":"2026-04-10T06:24:13Z","snapshot_observed_at":"2026-07-06T22:57:09.435331Z","submitted_at":"2026-04-09T07:55:05Z","title":"Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T17:54:15.770762Z"},"links":{"citing_paper":"/paper/2604.07936"},"observation_digest":"sha256:c6e8e16baa25de726c1137076a798ae427ccb47c8414f6f561a46ee7f2bff385","observation_id":"ec311fbe-027a-4c31-9e37-62ec3f0f98e3","resolution":{"observed_at":"2026-05-17T08:21:40.533538Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-05T21:23:00.469572Z","title":"Learning domain-invariant representations of histological images","venue":null,"work_id":"e1b2b7fe-4e9a-44b5-b79b-050b0f01478f","year":2019},"citing_paper":{"arxiv_id":"2604.07936","last_updated":"2026-04-10T06:24:13Z","snapshot_observed_at":"2026-07-06T22:57:09.435331Z","submitted_at":"2026-04-09T07:55:05Z","title":"Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T17:54:15.770762Z"},"links":{"citing_paper":"/paper/2604.07936"},"observation_digest":"sha256:3776502456860a0f0b061c8da694837c9a96ae8c722eaf5900f588aaaf1e4936","observation_id":"8e61a4fe-3f63-4c72-a2a3-f6ae5d16a97e","resolution":{"observed_at":"2026-05-17T08:21:40.547200Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-05T21:23:00.469572Z","title":"Towards histopathological stain invariance by unsupervised domain augmentation using generative adver- sarial networks","venue":null,"work_id":"c5d99648-ccbb-40e7-8ed6-68635e59258c","year":2021},"citing_paper":{"arxiv_id":"2604.07936","last_updated":"2026-04-10T06:24:13Z","snapshot_observed_at":"2026-07-06T22:57:09.435331Z","submitted_at":"2026-04-09T07:55:05Z","title":"Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-10T17:54:15.770762Z"},"links":{"citing_paper":"/paper/2604.07936"},"observation_digest":"sha256:6170d70e3cd77b84f2e4d3a92483da6ddd628d204c7dff29774f7fe92fc741a8","observation_id":"bcf3b5f5-848c-48ed-ba4d-83769004999a","resolution":{"observed_at":"2026-05-17T08:21:40.553153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-05T21:23:00.469572Z","title":"Deep domain confusion: Maximizing for do- main invariance","venue":null,"work_id":"3576d076-e8ba-414d-a563-6798b8715b88","year":2014},"citing_paper":{"arxiv_id":"2604.07936","last_updated":"2026-04-10T06:24:13Z","snapshot_observed_at":"2026-07-06T22:57:09.435331Z","submitted_at":"2026-04-09T07:55:05Z","title":"Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T17:54:15.770762Z"},"links":{"citing_paper":"/paper/2604.07936"},"observation_digest":"sha256:cbe771ce681c85611d737009fcad5d1543c282d7a7d540a68774f27b4f597abe","observation_id":"da9a1f7a-3abd-4f50-ba46-d95ae22ee0dc","resolution":{"observed_at":"2026-05-17T08:21:40.526918Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-05T21:23:00.469572Z","title":"Removal of confounders via invariant risk minimization for medical diagnosis","venue":null,"work_id":"fbb860dc-e9a1-4e52-ac89-10df6b9324bc","year":2022},"citing_paper":{"arxiv_id":"2604.07936","last_updated":"2026-04-10T06:24:13Z","snapshot_observed_at":"2026-07-06T22:57:09.435331Z","submitted_at":"2026-04-09T07:55:05Z","title":"Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-10T17:54:15.770762Z"},"links":{"citing_paper":"/paper/2604.07936"},"observation_digest":"sha256:4171ec34e0a2eb5b1ffc1adc8aa9bc3b690a67060d25c4dd0ee565109e201fdb","observation_id":"df9b28af-fb97-4477-b812-3e8a709d0443","resolution":{"observed_at":"2026-05-17T08:21:40.527601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-06-05T21:23:00.469572Z","title":"Detecting short- cut learning for fair medical ai using shortcut testing","venue":null,"work_id":"56eb2f70-709e-4cd1-a766-7d1ebd1759b5","year":2023},"citing_paper":{"arxiv_id":"2604.07936","last_updated":"2026-04-10T06:24:13Z","snapshot_observed_at":"2026-07-06T22:57:09.435331Z","submitted_at":"2026-04-09T07:55:05Z","title":"Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-10T17:54:15.770762Z"},"links":{"citing_paper":"/paper/2604.07936"},"observation_digest":"sha256:64dc5828dc3842c9c3ecaf5959ac7270c519d69b3ec0a16d585a39cbe4a1821e","observation_id":"4fb7da0e-6372-4f74-9327-31c8074741f0","resolution":{"observed_at":"2026-05-17T08:21:40.518301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.07936","last_updated":"2026-04-10T06:24:13Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T22:57:09.435331Z","submitted_at":"2026-04-09T07:55:05Z","title":"Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps"},"reference_resolution":{"displayed":18,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":18},"total_outbound_references":18},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2604.07936."}