{"as_of":"2026-08-08T04:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:403b5642a803333da3d758e74df4c32d46dc03f9849893f812b19d87918ad119","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:39:13.224758Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2505.24141/citation-record","integrity":"/paper/2505.24141/integrity","json":"/paper/2505.24141/citation-record.json","paper":"/paper/2505.24141"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:39:26.563623Z","title":"Ebrains live papers-interactive resource sheets for computational studies in neuroscience","venue":null,"work_id":"bd20238e-1f6b-49fc-a50f-5dce0ca6e4e5","year":2023},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:08.183661Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:7e97e538f165d5128ce9dde019be5045204457f58d6b6b57477bf5198a8ec3c3","observation_id":"bfeadc86-1266-4e54-9faf-ba761a6b8cb0","resolution":{"observed_at":"2026-08-07T12:39:26.642457Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:39:26.299484Z","title":"Towards evaluating the robustness of neural networks","venue":null,"work_id":"0f8b3dc3-c2e7-4b37-bb42-3af2b509aad7","year":2017},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:08.365541Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:3a1c9f94162e516e14357695e988f4f785b136fdb34490e79f743f73c69df8fb","observation_id":"cf5b00a3-0beb-4861-a59f-529e9984a7f6","resolution":{"observed_at":"2026-08-07T12:39:26.415706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:39:26.129017Z","title":"Towards a general-purpose foundation model for computational pathology.Nature Medicine, 30(3):850–862, 2024","venue":null,"work_id":"a70c4495-c0be-4866-aba0-d4465896a636","year":2024},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:08.544532Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:0b14b8ab409eca961f32fb1f7eac800f4d49917a95ad517362d425f246a9ef32","observation_id":"76b2b9e1-53b1-4a7a-84b5-326f9c96e689","resolution":{"observed_at":"2026-08-07T12:39:26.188644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:39:25.389632Z","title":"The somatic genomic landscape of chromophobe renal cell carcinoma.Cancer Cell, 26(3):319–330, 2014","venue":null,"work_id":"c6defd2c-aca8-40e8-8a0e-83df544f78f6","year":2014},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:08.667749Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:b06bc169015a48302e8b9c5671e5923f6702586852b79b4491283c44e755a4f3","observation_id":"73b758a6-28ec-4c65-814a-7446a7c1bd67","resolution":{"observed_at":"2026-08-07T12:39:26.011090Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.19666","last_updated":"2024-11-29T12:39:57Z","snapshot_observed_at":"2026-08-02T16:14:35.442247Z","submitted_at":"2024-11-29T12:39:57Z","title":"Multimodal Whole Slide Foundation Model for Pathology","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.19666","snapshot_observed_at":"2026-08-07T12:39:08.841259Z","title":"Multimodal whole slide foundation model for pathology.arXiv preprint arXiv:2411.19666, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:08.841259Z"},"links":{"cited_paper":"/paper/2411.19666","citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:6cf3d6465c0b938d7b29af43a858128a1813026062030237385893f3189898fe","observation_id":"ee6f5a40-f334-4f22-82a9-9ce0706368cf","resolution":{"observed_at":"2026-08-07T12:39:08.841259Z","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":"2026-08-07T12:39:23.367338Z","title":"Benchmarking adversarial robustness on image classification","venue":null,"work_id":"04fb07ce-1ce6-4728-a4cb-6139e580e367","year":2020},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:09.000328Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:3f82dc39826fe195628f1dca6746428a336187549c912fbcea638b2098c47f2d","observation_id":"d80fda02-ed4c-4c03-941d-e5763f6b32e3","resolution":{"observed_at":"2026-08-07T12:39:23.659263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:39:09.162209Z","title":"Boosting adversarial attacks with momentum","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:09.162209Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:435c4bbd783cbf4267aab67f825b62d36243663c7f0aefddbc19b974de8d0e58","observation_id":"09f5be64-54c1-4ef4-8ea2-b0981241dcf0","resolution":{"observed_at":"2026-08-07T12:39:09.162209Z","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":"2026-08-07T12:39:19.761927Z","title":"Accurate spatial quantification in computational pathology with multiple instance learning.MedRxiv, 2024","venue":null,"work_id":"98ae0661-32f7-46d6-8953-be2ea1b9ff49","year":2024},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:09.236572Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:acff43953053c0fb1522f71c3b82cd904bed228b68355c11f5fbc1828656474e","observation_id":"95d2b65f-db9a-4cbb-9ef0-d168a6953ab6","resolution":{"observed_at":"2026-08-07T12:39:23.210380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:39:18.754889Z","title":"Adversarial attacks and adversarial robustness in computational pathology.Nature Communications, 13(1):5711, 2022","venue":null,"work_id":"82707390-7f01-4f9f-ad66-5d2298980ebf","year":2022},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:09.377324Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:32d2c988ba8394e192c445e30fe33537036bc5f01370e69f4f3b76c6bdefbb6e","observation_id":"81c03dda-3a67-42e9-9257-d82897dda37d","resolution":{"observed_at":"2026-08-07T12:39:18.927932Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6572","last_updated":"2015-03-20T20:19:16Z","snapshot_observed_at":"2026-07-06T04:04:16.777653Z","submitted_at":"2014-12-20T01:17:12Z","title":"Explaining and Harnessing Adversarial Examples","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6572","snapshot_observed_at":"2026-08-07T12:39:09.495700Z","title":"Explaining and harnessing adversar- ial examples.arXiv preprint arXiv:1412.6572, 2014","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:09.495700Z"},"links":{"cited_paper":"/paper/1412.6572","citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:f76b36504a0cbc291d7327bba1b22107ce17ace1866cf4cb4db30e0872a7dda6","observation_id":"7c9cd629-ebfe-4baa-a3d5-1bc415aeb815","resolution":{"observed_at":"2026-08-07T12:39:09.495700Z","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":"2026-08-07T12:39:18.512326Z","title":"Attention-based deep multiple instance learning","venue":null,"work_id":"df8cc4a7-722d-40f3-a64b-63255d0b796f","year":2018},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:09.617080Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:42146960edf3bf2f66945e54497430e9315f9721dc850a6948c30b152d621ffa","observation_id":"3f5bd84b-b35d-4d70-832b-d648f0e54a41","resolution":{"observed_at":"2026-08-07T12:39:18.631922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:39:18.251364Z","title":"Tissue contamination challenges the credibility of machine learning models in real world digital pathology.Modern Pathology, 37(3):100422, 2024","venue":null,"work_id":"3c28d98e-511c-4ee7-a09a-efbd6a8b5e68","year":2024},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:09.726806Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:96668916e1f6fe730d22b4a8f6d98c1e014ff5f2a3ae1aab525096ec7edf0fb0","observation_id":"591df67b-c21c-4900-a682-14fe61a43448","resolution":{"observed_at":"2026-08-07T12:39:18.363309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1611.01236","last_updated":"2017-02-11T00:15:46Z","snapshot_observed_at":"2026-07-06T05:17:20.642708Z","submitted_at":"2016-11-04T01:11:02Z","title":"Adversarial Machine Learning at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.01236","snapshot_observed_at":"2026-08-07T12:39:09.828591Z","title":"Adversarial machine learning at scale","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:09.828591Z"},"links":{"cited_paper":"/paper/1611.01236","citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:cc3c4a0fa07ddf5e9b2b1c6a1277bde7cc282153d7364cd3604d850151e8ca10","observation_id":"10947e42-5fd6-47c8-bb7c-bb2e7f59dd33","resolution":{"observed_at":"2026-08-07T12:39:09.828591Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.02141","last_updated":"2025-08-12T02:24:25Z","snapshot_observed_at":"2026-08-05T20:44:29.016438Z","submitted_at":"2024-12-03T03:57:24Z","title":"WSI-LLaVA: A Multimodal Large Language Model for Whole Slide Image","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.02141","snapshot_observed_at":"2026-08-07T12:39:09.883128Z","title":"WSI-LLaV A: A multimodal large language model for whole slide image.arXiv preprint arXiv:2412.02141, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:09.883128Z"},"links":{"cited_paper":"/paper/2412.02141","citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:696949647af146c2086891a04ab1a8eda4675da57952ae725c55356c8c53d1ea","observation_id":"3680914c-9b7a-4e32-b204-b53ad46e87a5","resolution":{"observed_at":"2026-08-07T12:39:09.883128Z","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":"2026-08-07T12:39:17.960030Z","title":"1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset.GigaScience, 7(6):giy065, 2018","venue":null,"work_id":"66e168c1-97b1-4d36-b465-9974fa7d3c7c","year":2018},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:09.970407Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:9ea3ae38f9056a6d7e044a67089bf2aed587db17f53590f742e5024460949026","observation_id":"29639a14-329f-4d28-abaa-18fe1ef77a79","resolution":{"observed_at":"2026-08-07T12:39:18.147848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:39:17.718855Z","title":"Pamil: Prototype attention-based multiple instance learning for whole slide image classification","venue":null,"work_id":"80592ede-9761-4a09-9627-c088aa8ca7ba","year":2024},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:10.078923Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:697b5254070a2a409d9522b77a8f522849bb931fa6b013a9aa6730e3045b6ac7","observation_id":"091e9b37-bfb7-40d0-8f4f-a7174bb7e3ff","resolution":{"observed_at":"2026-08-07T12:39:17.819466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.07814","last_updated":"2023-12-13T00:24:37Z","snapshot_observed_at":"2026-07-06T17:00:49.692941Z","submitted_at":"2023-12-13T00:24:37Z","title":"A Foundational Multimodal Vision Language AI Assistant for Human Pathology","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.07814","snapshot_observed_at":"2026-08-07T12:39:10.194179Z","title":"A foundational multimodal vision language AI assistant for human pathology.arXiv preprint arXiv:2312.07814, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:10.194179Z"},"links":{"cited_paper":"/paper/2312.07814","citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:53b2c5416d422374dbf0f6406d34ab98df5e89a3cb15d7889fe0fd23f2ab7c41","observation_id":"44c7b4da-9bb1-4657-b303-7297bfb3ce8e","resolution":{"observed_at":"2026-08-07T12:39:10.194179Z","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":"2026-08-07T12:39:17.414322Z","title":"A visual-language foundation model for computational pathology.Nature Medicine, 30(3):863–874, 2024","venue":null,"work_id":"f884cd4d-3146-453d-b924-5b08a048c1f1","year":2024},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:10.293435Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:aacbcb73bbbd7fc81fd21fc4c5f9106084d94c6857fb82f4945142eae625eed4","observation_id":"04969ec0-0e8c-48ae-b4cd-db6c2df54f28","resolution":{"observed_at":"2026-08-07T12:39:17.577516Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:39:10.372977Z","title":"Data-efficient and weakly supervised computational pathology on whole-slide images.Nature Biomedical Engineering, 5(6):555–570, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:10.372977Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:dfa813e8cc2d8db2479cda543a6b5de3671e07e680c0895c53169613b760eba1","observation_id":"6614f1e2-418b-4ce5-acce-b6c4852993e9","resolution":{"observed_at":"2026-08-07T12:39:10.372977Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.06083","last_updated":"2019-09-04T18:53:10Z","snapshot_observed_at":"2026-08-07T14:27:46.872660Z","submitted_at":"2017-06-19T17:53:11Z","title":"Towards Deep Learning Models Resistant to Adversarial Attacks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.06083","snapshot_observed_at":"2026-08-07T12:39:10.458402Z","title":"Towards deep learning models resistant to adversarial attacks.arXiv preprint arXiv:1706.06083, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:10.458402Z"},"links":{"cited_paper":"/paper/1706.06083","citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:bbbc1c06e8fabfc1352f8d4bd16aa177ca081d6db3f5b80717b1e138ff98ff1e","observation_id":"296feaf3-2031-428a-8761-2b18fbfe9114","resolution":{"observed_at":"2026-08-07T12:39:10.458402Z","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":"2026-08-07T12:39:17.110718Z","title":"Comprehensive molecular characterization of papil- lary renal-cell carcinoma.New England Journal of Medicine, 374(2):135–145, 2016","venue":null,"work_id":"500e21a7-f4de-4b5b-9607-c32e1d9ff320","year":2016},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:10.593175Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:b73a316ad2e1d85123a201ee0206ff36ed73423302efc77062f5dc7131480768","observation_id":"a49fbdfc-0278-4854-a2f6-578cb6e25675","resolution":{"observed_at":"2026-08-07T12:39:17.255888Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:39:16.693372Z","title":"Comprehensive genomic characterization of squamous cell lung cancers.Nature, 489(7417):519, 2012","venue":null,"work_id":"0189132c-6ffe-4aa5-9ed9-c4877c8eed53","year":2012},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:10.658183Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:4925a54ef1fe2481f6ebd178d65abc9c15e51262cd5f1007c885fc68c1d920b6","observation_id":"b377d115-4dd1-4cfe-95d6-001012291bf1","resolution":{"observed_at":"2026-08-07T12:39:16.893525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:39:16.411458Z","title":"Comprehensive molecular portraits of human breast tumours.Nature, 490(7418):61–70, 2012","venue":null,"work_id":"717a6da5-3161-4964-958b-a92e38f44da1","year":2012},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:10.780345Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:c98d509f543607aab03bb120ce5a2f6f2760f562c6050da7a8f57600251b4d03","observation_id":"283d832d-801e-424e-87fd-2b4715a50c57","resolution":{"observed_at":"2026-08-07T12:39:16.571519Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:39:16.136918Z","title":"Comprehensive molecular characterization of clear cell renal cell carcinoma.Nature, 499(7456):43–49, 2013","venue":null,"work_id":"4c03f70f-c9ad-4d6c-94c7-2fabb31192a8","year":2013},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:10.894545Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:6969a1310c1e9daf3458272dc793cc429e00af2d0613aa720c0e84b1593f2002","observation_id":"688472e8-32cd-4866-857e-04f88a9fb15e","resolution":{"observed_at":"2026-08-07T12:39:16.259368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:39:15.823220Z","title":"Comprehensive molecular profiling of lung adenocarcinoma.Nature, 511(7511):543, 2014","venue":null,"work_id":"b58adc56-cb8a-4243-b408-5dc88a2a3844","year":2014},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:11.025702Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:29734b5d9899b253ce969ac176292ac8c3350437e06d8defa2d2c37173900dda","observation_id":"04cfdbf5-263e-44ac-b9e2-f9f5f0e6cd65","resolution":{"observed_at":"2026-08-07T12:39:15.988525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:39:15.513153Z","title":"Review of artificial intelligence adversar- ial attack and defense technologies.Applied Sciences, 9(5):909, 2019","venue":null,"work_id":"1336a56e-57fd-4967-bb48-827de6a62556","year":2019},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:11.167331Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:66cdb27f654503f38926a6adac40d091a701feec28b31beed6259bb95503d367","observation_id":"d772c59f-ae3a-4b1d-93db-20c8cfd9343c","resolution":{"observed_at":"2026-08-07T12:39:15.631663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:39:11.279695Z","title":"Adversarial training for free!Advances in Neural Information Processing Systems, 32, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:11.279695Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:05cde31d1c0299f72bc50e4b42157bc42bac3df1ac5cf70395ed7c8e017a3758","observation_id":"e2105191-b4ef-4ce9-9f23-1bc39afb861d","resolution":{"observed_at":"2026-08-07T12:39:11.279695Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.10254","last_updated":"2024-05-22T17:22:32Z","snapshot_observed_at":"2026-07-06T18:15:24.541427Z","submitted_at":"2024-05-16T16:59:12Z","title":"PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.10254","snapshot_observed_at":"2026-08-07T12:39:11.424830Z","title":"Prism: A multi-modal generative foundation model for slide-level histopathology.arXiv preprint arXiv:2405.10254, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:11.424830Z"},"links":{"cited_paper":"/paper/2405.10254","citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:17b255ce7f7a683ebb6e8a77f9d99fb1c34de4f4fd95dadacbb988ec23810e82","observation_id":"253a00a4-fa1f-470d-bcbb-ef4e0d45e436","resolution":{"observed_at":"2026-08-07T12:39:11.424830Z","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":"2026-08-07T12:39:15.177847Z","title":"Transmil: Transformer based correlated multi- ple instance learning for whole slide image classification.Advances in Neural Information Processing Systems, 34:2136–2147, 2021","venue":null,"work_id":"a2c3915e-1f33-4d44-b370-768267349d27","year":2021},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:11.554082Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:b773e5115822683f8d43bce6552b960ad7a9adbe764b3b22f377615c89bd7241","observation_id":"2c0dbef9-c162-4e48-8672-0f9960663070","resolution":{"observed_at":"2026-08-07T12:39:15.318225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:39:14.884818Z","title":"Guided adversarial attack for evaluating and enhancing adversarial defenses.Advances in Neural Information Processing Systems, 33:20297–20308, 2020","venue":null,"work_id":"053a76d0-92cb-4bb2-be00-ba69941dcf70","year":2020},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:11.714052Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:6d21e4f634cfe27f62ca04c9372608815f56fb364db5b1040efb2a606a8d8144","observation_id":"3053e88a-53a2-4e4f-8c4c-0abc7b523822","resolution":{"observed_at":"2026-08-07T12:39:14.996451Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6199","last_updated":"2014-02-19T16:33:14Z","snapshot_observed_at":"2026-07-06T03:31:33.797310Z","submitted_at":"2013-12-21T03:36:08Z","title":"Intriguing properties of neural networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6199","snapshot_observed_at":"2026-08-07T12:39:11.848428Z","title":"Intriguing properties of neural networks.arXiv preprint arXiv:1312.6199, 2013","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:11.848428Z"},"links":{"cited_paper":"/paper/1312.6199","citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:81a93904794d032383befce7cd3a1cd53f109416935886920e75898216b12139","observation_id":"62c0703e-1907-4481-9925-2f6f9778ad22","resolution":{"observed_at":"2026-08-07T12:39:11.848428Z","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":"2026-08-07T12:39:14.730201Z","title":"Demonstration of an adversarial attack against a multimodal vision language model for pathology imaging","venue":null,"work_id":"4c366a61-3cf5-4c2f-a4fd-7b542979b0fc","year":2024},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:11.920215Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:cccbb35299e9f4a1c7aff44198f090dac200626e6883451d2462bb08e1fdcf3a","observation_id":"57800256-36aa-4a7b-8a48-0d43072efb6e","resolution":{"observed_at":"2026-08-07T12:39:14.779215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.16652","last_updated":"2025-01-28T02:35:02Z","snapshot_observed_at":"2026-07-06T20:27:09.296190Z","submitted_at":"2025-01-28T02:35:02Z","title":"Molecular-driven Foundation Model for Oncologic Pathology","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.16652","snapshot_observed_at":"2026-08-07T12:39:12.087746Z","title":"Molecular-driven foundation model for oncologic pathology.arXiv preprint arXiv:2501.16652, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:12.087746Z"},"links":{"cited_paper":"/paper/2501.16652","citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:073680269c4288768e18757a4d77620ed93d21ce0c983de6f13ff4d6a0505f60","observation_id":"16344de2-ea48-4f37-bfc8-e7a6a035d56b","resolution":{"observed_at":"2026-08-07T12:39:12.087746Z","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":"2026-08-07T12:39:14.598801Z","title":"A foundation model for clinical-grade computational pathology and rare cancers detection.Nature Medicine, 30(10):2924–2935, 2024","venue":null,"work_id":"7f029f04-da39-491d-9657-0c6b3aa4fc4f","year":2024},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:12.271917Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:0a35141adee0ac4c6c114920f9d9b4312d425922938818bcca9ca0d8cc7d87eb","observation_id":"5536daf8-a3b7-455c-8c2b-0d688cfb9820","resolution":{"observed_at":"2026-08-07T12:39:14.640438Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:39:14.457278Z","title":"A pathology foundation model for cancer diagnosis and prognosis prediction.Nature, 634(8035):970–978, 2024","venue":null,"work_id":"3e3086f7-f0af-40ad-acfc-6e4022ff26d4","year":2024},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:12.380985Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:a6d60c58d5d607d961b81849b8e219605cf8bf2e34fd6c6de9581cc792a47841","observation_id":"b4a027e0-0bfa-49b0-b469-a076c4de8d42","resolution":{"observed_at":"2026-08-07T12:39:14.506926Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2104.11103","last_updated":"2021-04-22T14:36:51Z","snapshot_observed_at":"2026-08-03T01:49:30.570542Z","submitted_at":"2021-04-22T14:36:51Z","title":"Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions","version":1},"cited_work":{"arxiv_id":"2104.11103","doi":null,"metadata_source":"pith","pith_arxiv_id":"2104.11103","snapshot_observed_at":"2026-08-07T12:39:13.542066Z","title":"Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions","venue":"cs.LG","work_id":"a63d769b-68aa-4a52-87a6-8fce4268650c","year":2021},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:12.478511Z"},"links":{"cited_paper":"/paper/2104.11103","citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:d6225a84dcc3c90c0d0fdde3df95717aece32ed0b58b335e966ab0f69e3ffda6","observation_id":"071911ee-ba7d-432e-9e09-c5df48555c8b","resolution":{"observed_at":"2026-08-07T12:39:13.622084Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:39:14.298531Z","title":"A vision–language foundation model for precision oncology.Nature, pages 1–10, 2025","venue":null,"work_id":"bdf57d2d-ae33-4a85-9bba-dab5a4a63e9a","year":2025},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:12.629104Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:5c3cbf89a96a86437905d293342776e6bc8f6764ce60c15a9541a351eb039901","observation_id":"1c03960e-ab6d-4840-99bb-7db2f4b1972c","resolution":{"observed_at":"2026-08-07T12:39:14.382289Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:39:14.076725Z","title":"A whole-slide foundation model for digital pathology from real-world data.Nature, 630(8015):181–188, 2024","venue":null,"work_id":"cab7e1a5-5aff-4fdb-84d0-ca14407ba939","year":2024},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:12.796151Z"},"links":{"citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:fdc001f183659f345eda62f9f50b6a186af42e320f59b15120839ea03a4e5d3a","observation_id":"67588670-9730-4af6-846a-89b5c74dfb27","resolution":{"observed_at":"2026-08-07T12:39:14.194766Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.15362","last_updated":"2025-03-25T08:49:58Z","snapshot_observed_at":"2026-07-06T18:49:51.231196Z","submitted_at":"2024-07-22T04:09:27Z","title":"A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.15362","snapshot_observed_at":"2026-08-07T12:39:12.916560Z","title":"A multimodal knowledge-enhanced whole-slide pathology foundation model.arXiv preprint arXiv:2407.15362, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:12.916560Z"},"links":{"cited_paper":"/paper/2407.15362","citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:9b44a8d6c5c76821b9ca7072a708ceaae481117f0abed9b19c5ea8408046b32f","observation_id":"22abee5e-6563-4e06-9b00-1a06d7ab821e","resolution":{"observed_at":"2026-08-07T12:39:12.916560Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.06750","last_updated":"2025-02-10T18:23:55Z","snapshot_observed_at":"2026-08-07T04:52:13.980282Z","submitted_at":"2025-02-10T18:23:55Z","title":"Accelerating Data Processing and Benchmarking of AI Models for Pathology","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.06750","snapshot_observed_at":"2026-08-07T12:39:13.052728Z","title":"Ac- celerating data processing and benchmarking of AI models for pathology.arXiv preprint arXiv:2502.06750, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:13.052728Z"},"links":{"cited_paper":"/paper/2502.06750","citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:5cd73a329bace334e95853c61187becf189f5a2ca06ee91dd93aa273cda628bd","observation_id":"fd952085-08dc-46e7-8a7d-38ad404c4a3a","resolution":{"observed_at":"2026-08-07T12:39:13.052728Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.00738","last_updated":"2024-11-06T14:45:58Z","snapshot_observed_at":"2026-08-02T04:10:01.034108Z","submitted_at":"2024-08-01T17:35:58Z","title":"Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.00738","snapshot_observed_at":"2026-08-07T12:39:13.224758Z","title":"butterfly effect","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T12:39:13.224758Z"},"links":{"cited_paper":"/paper/2408.00738","citing_paper":"/paper/2505.24141"},"observation_digest":"sha256:5e3aa79ad7e7a9189cb9a412ab5dca5afe2e157205478bbaebd382f48e95110d","observation_id":"22ac1a62-9db0-4759-b32e-62cf74313c3f","resolution":{"observed_at":"2026-08-07T12:39:13.224758Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.24141","last_updated":"2025-05-30T02:23:46Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T12:30:52.654352Z","submitted_at":"2025-05-30T02:23:46Z","title":"The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":14,"verified_exact":1,"verified_fuzzy":25},"total_outbound_references":41},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2505.24141."}