{"as_of":"2026-08-07T00:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8bc2ae66c276623f33a3d5d5f64369b07740f62dce4fe6138974272bd70807aa","coverage":[{"denominator":68,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":68,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:32:14.930028Z","state":"measured"},{"denominator":68,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":68,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+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/2507.08178/citation-record","integrity":"/paper/2507.08178/integrity","json":"/paper/2507.08178/citation-record.json","paper":"/paper/2507.08178"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:32:23.008597Z","title":"Pan-cancer analysis of the extent and con- sequences of intratumor heterogeneity","venue":null,"work_id":"e97fac08-8522-4152-ad63-5ed177b31ba9","year":2016},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:09.001151Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:a6afbe313f2a31e12126eb90b9d08b5ac134e51b204e34002800bb56b39ae7bb","observation_id":"fc07d8b3-2b58-4cbe-a294-70c7f26b7546","resolution":{"observed_at":"2026-08-06T18:32:23.061465Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:22.907676Z","title":"Integra- tive spatial analysis of cell morphologies and transcriptional states with muse","venue":null,"work_id":"a03e3af6-5926-4e87-9ef9-ded122dd976c","year":null},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:09.031589Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:dbe5c871326f2c9c7e4cde5b881947dea255b789cf9cc41e379fe850a84723b5","observation_id":"3425973d-1052-41bc-af95-a71e0170f8b0","resolution":{"observed_at":"2026-08-06T18:32:22.956388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:22.811163Z","title":"A graph-based multi- scale approach with knowledge distillation for wsi classifica- tion","venue":null,"work_id":"3688c0d7-d91b-4f18-baac-41959eeca10c","year":2024},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:09.067147Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:4499e2cb01ceb48d3e7d89df9942d06bb350d91a93e9117d440363aa9a2807ac","observation_id":"e13b8cd5-a7e0-462f-b5c3-169753a900ff","resolution":{"observed_at":"2026-08-06T18:32:22.858943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:22.692565Z","title":"The causes and consequences of genetic heterogeneity in cancer evolution","venue":null,"work_id":"bebf3566-bac9-4280-ace1-cb8d8455eb7c","year":2013},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:09.145523Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:44ad547857a3b657247cac19c97b93d64c40dfcd09575b9214c29f690b999406","observation_id":"c6a3b34a-d7d9-4af8-a3f6-45cf97c3e0a7","resolution":{"observed_at":"2026-08-06T18:32:22.742557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:22.540425Z","title":"Clinical-grade computational pathology using weakly supervised deep learning on whole slide images","venue":null,"work_id":"04aecb10-01c4-4cde-8d7c-3625cdd7c1a0","year":2019},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:09.197951Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:288c72df60a80d04ec16f2744f178fc2311593a52e0ae0ec99a210b09c77a76a","observation_id":"d4816fb4-9c2f-4fe3-b358-8075269eeb43","resolution":{"observed_at":"2026-08-06T18:32:22.614898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:22.323720Z","title":"Histopathology whole slide image anal- ysis with heterogeneous graph representation learning","venue":null,"work_id":"91e73123-557f-4650-aafc-09992d79511d","year":2023},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:09.265096Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:963637a0e83045dda04a0cd909bb76993ddb5dbbbd714a4957c8c152058bccdc","observation_id":"66cb7968-af71-4e62-8568-4914bfabc89c","resolution":{"observed_at":"2026-08-06T18:32:22.406325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:09.309439Z","title":"Grad-cam++: General- ized gradient-based visual explanations for deep convolu- tional networks","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:09.309439Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:10904201e225a97ac7b6d1f10680e2336b67f3e3be09bf63a9c0cf52a17c04d3","observation_id":"a837a39f-949d-4c82-902f-393e88baaa4e","resolution":{"observed_at":"2026-08-06T18:32:09.309439Z","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":"2026-08-06T18:32:22.161294Z","title":"Whole slide images are 2d point clouds: Context-aware survival prediction using patch-based graph convolutional networks","venue":null,"work_id":"e32c55f8-73ea-4755-a878-24b905f784b8","year":2021},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:09.377009Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:fe3ab366d403a958449590ebed87fd24d5282461f2d01e2b4e99e05096dd94df","observation_id":"04b4d848-633d-4050-b39c-e5b1c97da8b7","resolution":{"observed_at":"2026-08-06T18:32:22.232454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:21.989354Z","title":"Towards a general-purpose foundation model for com- putational pathology","venue":null,"work_id":"30141655-a3e3-41df-a06b-60b6a04cfd97","year":2024},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:09.443198Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:84d046a0c3da5ed9565a262918f4ee2f65cd500b56f29023e325826ba4ca3b05","observation_id":"774524dd-dd25-4e83-8b85-4c7657884641","resolution":{"observed_at":"2026-08-06T18:32:22.082405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:21.835154Z","title":"TimeMIL: Advancing multivariate time series classification via a time-aware multiple instance learning","venue":null,"work_id":"dc308e23-4c07-4cc6-a742-a829edc3202d","year":2024},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:09.513001Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:7b242bef3490801d5f101453289ebab01cf47dd7fc58ac03d869acdf6d346400","observation_id":"1c9ac54d-66ed-40ea-9478-0f9987f67219","resolution":{"observed_at":"2026-08-06T18:32:21.921960Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:21.678429Z","title":"Rankmix: Data augmentation for weakly supervised learning of classifying whole slide images with diverse sizes and imbalanced cat- egories","venue":null,"work_id":"12d2e90c-bd1b-4377-9080-b3b884ce8b1e","year":2023},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:09.571166Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:602c3a7e65651981145dfcbd82d22fd9b942beb29860b719c46917e68afca0fe","observation_id":"de0d3e37-6f50-4782-b8aa-6ed206ef9d5a","resolution":{"observed_at":"2026-08-06T18:32:21.737395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:21.523209Z","title":"Multiple instance learn- ing with center embeddings for histopathology classifica- tion","venue":null,"work_id":"058b9e30-cae3-4dbf-aabd-3cb786156185","year":2020},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:09.627770Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:0a2db0264c894a3803f37c578291beedac1192c11c207a65653ad8a920ae7036","observation_id":"fc25e666-27b0-4117-bd8b-6c204c1e49f1","resolution":{"observed_at":"2026-08-06T18:32:21.608915Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.10882","last_updated":"2023-02-13T01:19:57Z","snapshot_observed_at":"2026-08-06T12:12:32.479948Z","submitted_at":"2021-02-22T10:29:55Z","title":"Conditional Positional Encodings for Vision Transformers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.10882","snapshot_observed_at":"2026-08-06T18:32:09.704815Z","title":"Conditional positional encodings for vision transformers","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:09.704815Z"},"links":{"cited_paper":"/paper/2102.10882","citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:5a4598d9a288a67528d0563edfad0d317b9fe879eef42f6ac72ab6610d06f611","observation_id":"d3a3f5fd-6340-46d1-af72-99fcbb171e40","resolution":{"observed_at":"2026-08-06T18:32:09.704815Z","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":"2026-08-06T18:32:21.379224Z","title":"Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning","venue":null,"work_id":"c5014ff2-c170-4160-a460-af90101e240e","year":2018},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:09.739339Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:3f34263264b197496995d80b977043203e1f771a523d3ce5a4db991ca5b04b65","observation_id":"79eaef87-3cbf-4ea4-9739-ffb505a83939","resolution":{"observed_at":"2026-08-06T18:32:21.447139Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:21.235083Z","title":"Elements of information theory","venue":null,"work_id":"1aafee12-ba8a-46e6-9d30-8cbf4642ce99","year":1999},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:09.822348Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:075d73af66a3a9115c111d8e2f547e2485edafd1cfc454a869f89e431bb0c612","observation_id":"c40d378e-3c4a-4ec1-a054-750ae7bf154f","resolution":{"observed_at":"2026-08-06T18:32:21.321415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:21.130078Z","title":"Sinkhorn distances: Lightspeed computation of optimal transport","venue":null,"work_id":"bec2766d-34ca-4b0b-9b9b-8b29a3f5862c","year":2013},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:09.926040Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:757926af8eb0772b3dda3c01825d8d409b7a2772ff16961585ee05ae51326475","observation_id":"c83e6a04-425a-479b-94ee-d96a0bd3b700","resolution":{"observed_at":"2026-08-06T18:32:21.203076Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:20.978871Z","title":"Statistical comparisons of classifiers over multiple data sets","venue":null,"work_id":"1d130166-f0ab-4de9-8afe-758ff60ce409","year":2006},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:10.044051Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:5d59e65ca99ddba4d8983c4cfa84ddbb64bdd779076dff89fcd5fbf267f2a2e2","observation_id":"f6ba3f26-70a8-4a76-b77b-5819ec3c553f","resolution":{"observed_at":"2026-08-06T18:32:21.060267Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:20.854623Z","title":"Inherently interpretable time series classification via multiple instance learning","venue":null,"work_id":"b9f021cd-bdca-498d-bc0e-f84024ca97db","year":2024},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:10.104063Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:2dd6ef34630ed1ad725aa911f8849437fbbefcb56b4bcdf13b57bbd50f57b4d3","observation_id":"cd968c7b-82eb-447a-8b13-73eec837f3f4","resolution":{"observed_at":"2026-08-06T18:32:20.898170Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:10.208351Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:10.208351Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:6a9dd954ab1ee39b0cc42724e493a4ba4d2b6e3beae774817b98aad58a64e480","observation_id":"0daf9c43-2389-4dad-a5c7-201a235e03e6","resolution":{"observed_at":"2026-08-06T18:32:10.208351Z","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":"2026-08-06T18:32:20.699783Z","title":"Deep residual learning for image recognition","venue":null,"work_id":"f510df28-9391-4343-9157-d42182d3ea92","year":2016},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:10.243028Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:f65fdc3c1e796954c1752ddcd10a5d0bda7ecbcc4dfd055ce15586f17f054721","observation_id":"4f5f7d44-7400-476b-913a-540dc30d410d","resolution":{"observed_at":"2026-08-06T18:32:20.751264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:20.558758Z","title":"Probability of error, equiv- ocation, and the chernoff bound","venue":null,"work_id":"ed62847b-6fb3-462c-95e5-835bd9d39243","year":1970},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:10.363815Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:183feffc9720b6e549d8277f2e8e7148c8d25e04458163485dab25f2f62433fe","observation_id":"ca2b4822-6f38-437b-bb9d-2b15044b4073","resolution":{"observed_at":"2026-08-06T18:32:20.646362Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:20.371505Z","title":"Patch-based convolutional neural network for whole slide tissue image classification","venue":null,"work_id":"504a69c6-c1c9-4a65-a890-a2809754a8d7","year":2016},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:10.436416Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:b2eceb6a9d98806bcfb32f5eb66fc997300292048778e3bb28d2fafb765bbbdb","observation_id":"0f40d97b-a613-4c6e-ae17-442f8cc57021","resolution":{"observed_at":"2026-08-06T18:32:20.467858Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:20.222897Z","title":"Hˆ 2-mil: ex- ploring hierarchical representation with heterogeneous mul- tiple instance learning for whole slide image analysis","venue":null,"work_id":"ee83e4ac-2dbf-46c7-957f-660af2625823","year":2022},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:10.538892Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:d8594564ff98ed70fbae9ec4ee654022ba1c2d54208215310bfbc9155e631349","observation_id":"2d007545-d28e-4e95-9e72-59a3f3324362","resolution":{"observed_at":"2026-08-06T18:32:20.308514Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:20.095654Z","title":"Attention-based deep multiple instance learning","venue":null,"work_id":"0c6822ef-3825-4a6d-ae7d-c6e766f63732","year":2018},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:10.608894Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:9bb06b4c7df2218c3eaf2e5193c826a5c69642c8690bc918294f471bc18b7648","observation_id":"ea3e49d3-aecf-47df-a049-06e5e5b91227","resolution":{"observed_at":"2026-08-06T18:32:20.147658Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:19.951037Z","title":"Model- ing dense multimodal interactions between biological path- ways and histology for survival prediction","venue":null,"work_id":"af291f43-1fbb-4e01-8f2c-7fe114c1cb8b","year":2024},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:10.710950Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:8c6096a22ab4bcfddd3386ea0741004967aa6ca14c8e698c56c2e0ff38407e76","observation_id":"e63b3a92-7294-44c2-85d1-487055704455","resolution":{"observed_at":"2026-08-06T18:32:20.032203Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:19.777404Z","title":"Dual-stream multiple instance learning network for whole slide image classifica- tion with self-supervised contrastive learning","venue":null,"work_id":"b9190547-a3ec-413f-bd19-9e514a263dd3","year":2021},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:10.811972Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:5068f09bdfe7b2c2b10c8ccace42f9a9c068e0f682883b2d804362bb5a0922cf","observation_id":"0ee941dd-273b-4c67-b702-21a59c7b7435","resolution":{"observed_at":"2026-08-06T18:32:19.851624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:19.593985Z","title":"Learning to match via inverse optimal transport","venue":null,"work_id":"bfc079cb-1b35-4a73-be5b-576499ca83c2","year":2019},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:10.866127Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:671522a0d76a06bfdfb5f868e716bb316016d8fef0b87648303d4ff9dffc3832","observation_id":"8d2f6432-6311-4c23-92c1-f044c9ec54fd","resolution":{"observed_at":"2026-08-06T18:32:19.697944Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:19.432740Z","title":"Interventional multi-instance learning with deconfounded instance-level prediction","venue":null,"work_id":"f81b678d-f0aa-4c6e-a54c-930dc9053e28","year":2022},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:10.984751Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:5a8b1a2533d41599ddbd8ef09e692d88a89dfe070b776d5da5654fa48090becd","observation_id":"69988fb1-ce2f-4555-9d2a-c946f6c75255","resolution":{"observed_at":"2026-08-06T18:32:19.512104Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:19.304660Z","title":"Interventional bag multi-instance learning on whole-slide pathological images","venue":null,"work_id":"f3aa3634-b4ca-4fbe-8fd1-5f4bb2c9da92","year":2023},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:11.054098Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:64069b7a605c47951c66d3c3024c43cc5039e548af240294627404ca7033167e","observation_id":"2b9421ff-2a48-4d3f-a829-b2be7ddd3a66","resolution":{"observed_at":"2026-08-06T18:32:19.374217Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:11.155005Z","title":"Swin transformer: Hierarchical vision transformer using shifted windows","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:11.155005Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:36ca115221dcbe517de01d2fb5b957d9cdf0427aba378d9394f24c1a428970a9","observation_id":"66e84cab-f45f-4b5c-a237-7eaa2c62ba65","resolution":{"observed_at":"2026-08-06T18:32:11.155005Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-06T18:32:11.255604Z","title":"Decoupled weight decay regularization","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:11.255604Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:cd286f079786c2b10d02aafbfa29272f945d587280b597c81afad4f53736907c","observation_id":"3b1eaa1a-2296-4d85-b9d0-79ebc5fbd2a4","resolution":{"observed_at":"2026-08-06T18:32:11.255604Z","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":"2026-08-06T18:32:19.169198Z","title":"Data-efficient and weakly supervised computational pathology on whole- slide images","venue":null,"work_id":"cdfaec99-b133-40a9-ad1c-6ae83d8576cf","year":2021},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:11.365957Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:730bcb8829266b1659d1558e117918aad7221a27494b4363dfd294f91ec5798d","observation_id":"da8e5ebb-1d34-496f-a459-f83a695fa4d9","resolution":{"observed_at":"2026-08-06T18:32:19.223376Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:19.075511Z","title":"Tumor heterogeneity: causes and consequences","venue":null,"work_id":"6580f155-264d-49f9-8d2f-a5e7f7634ef1","year":2010},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:11.510251Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:3fc0fe5eadd6c841c8d16275f7223ce84531eeeeed466e8985ff8e94d76bb521","observation_id":"12d301f4-2417-40b5-be40-85b9d44c70e9","resolution":{"observed_at":"2026-08-06T18:32:19.113668Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:11.638533Z","title":"Unsupervised learning of visual representations by solving jigsaw puzzles","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:11.638533Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:41a1dea1751c4686d6ad8e8db4ec59bd023876ea2d01514d3ad7851e2661bff8","observation_id":"bc7ecd9a-4c8e-4ae2-ad59-6e99f3e8d941","resolution":{"observed_at":"2026-08-06T18:32:11.638533Z","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":"2026-08-06T18:32:11.743143Z","title":"A threshold selection method from gray-level histograms","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:11.743143Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:da4692676b0ba8bac4e54e32ec84afb4145d5c74ced1193a52df618289b1dcea","observation_id":"7e601e57-0ab8-4b1b-8d4e-b1408f03778d","resolution":{"observed_at":"2026-08-06T18:32:11.743143Z","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":"2026-08-06T18:32:18.895870Z","title":"Prevalence of neural collapse during the terminal phase of deep learning training","venue":null,"work_id":"8b9f2cba-6a38-4825-80f2-49c5fd02ab32","year":2020},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:11.864012Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:2443c0ec45ceaebab1c9deb3a8b15ea829a6d5dddb21073ba40212242b471971","observation_id":"288d3d38-1235-4486-ae92-e95461b241fb","resolution":{"observed_at":"2026-08-06T18:32:18.980046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:18.744001Z","title":"Pytorch: An im- perative style, high-performance deep learning library","venue":null,"work_id":"ede6aaf4-9513-4446-a899-ba150c2fa6a6","year":2019},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:11.972310Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:1da9c6ef532885d1e17142c5d6168932034c0693179f23cd4814c0a9e94066cc","observation_id":"b2cfbb84-2564-4d93-92c7-64e2c85d49b5","resolution":{"observed_at":"2026-08-06T18:32:18.834173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:18.610424Z","title":"Computational optimal transport: With applications to data science","venue":null,"work_id":"ebcb6cf3-89d8-4eca-9d7c-350e9e990d6a","year":2019},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:12.094236Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:cea65c4560fd36dd7ffa44566e1ce96f20b21c066cbed339933aaa62ae1813c0","observation_id":"6d56bfba-8698-4fe4-88a7-9f1f0059fef4","resolution":{"observed_at":"2026-08-06T18:32:18.668385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.00048","last_updated":"2024-08-01T15:37:52Z","snapshot_observed_at":"2026-08-06T19:25:20.749392Z","submitted_at":"2023-10-31T18:01:41Z","title":"SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification","version":2},"cited_work":{"arxiv_id":"2311.00048","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.00048","snapshot_observed_at":"2026-08-06T18:32:15.180792Z","title":"SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification","venue":"cs.CV","work_id":"eecf003b-d367-43b9-9f44-b0400d561d5e","year":2023},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:12.186565Z"},"links":{"cited_paper":"/paper/2311.00048","citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:fec1b486a2ee488d8d218e909f5c190545e430e550ff76f1b503a5404c22ff97","observation_id":"4e26f2c5-05d9-4fbd-8c45-5ec4b96d8519","resolution":{"observed_at":"2026-08-06T18:32:15.268343Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:18.484034Z","title":"Boosting whole slide image classification from the perspectives of dis- tribution, correlation and magnification","venue":null,"work_id":"920b4eb8-40ba-4174-b0ef-0890276e5b6f","year":2023},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:12.245062Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:f5bac002c286478e5d823dbb0520113cdf37a074267c91031444274a39052972","observation_id":"f34cb812-4b52-4b15-b5c2-4264826f8ba9","resolution":{"observed_at":"2026-08-06T18:32:18.522012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:18.354859Z","title":"Reproducibility in multiple instance learning: a case for algorithmic unit tests","venue":null,"work_id":"dc927543-07eb-44f9-812a-854875967440","year":null},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:12.318171Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:cf38fb2440172d84600b415d21bdbd20a473f2e9fbfa4c590a61731ba7e9eb06","observation_id":"86802156-92ae-4aad-8060-470549696374","resolution":{"observed_at":"2026-08-06T18:32:18.425277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:18.239051Z","title":"Reproducibility in multiple instance learning: a case for algorithmic unit tests","venue":null,"work_id":"4cf1d3d1-307e-4b7d-be44-8020a07ab303","year":2024},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:12.389339Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:120276d85f15d597494cb1f8e643277af2574101ed4b98c35407540b4e3c2b4e","observation_id":"cf19eb6b-7d9f-4401-8e4a-e23dae69c7c3","resolution":{"observed_at":"2026-08-06T18:32:18.292279Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:18.129138Z","title":"The diagnostic path, a useful visualisation tool in virtual microscopy","venue":null,"work_id":"60e06554-bd24-4d10-ba4f-2dec17b49d64","year":null},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:12.662836Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:7396d02ac15b2d0fabcb2259a9721dc318bedd8b6eaf0785abbc05e11c9a4221","observation_id":"5cbed763-73b6-4f2e-bdcb-1e6b87460cf2","resolution":{"observed_at":"2026-08-06T18:32:18.164695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:12.765377Z","title":"Grad-cam: Visual explanations from deep networks via gradient-based localization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:12.765377Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:8a617e90b8e362d3cb504756c0bafb807d968550653e6a9ab123f0cb9cb392cd","observation_id":"52906cb8-4cba-496f-b394-b06fb3449b68","resolution":{"observed_at":"2026-08-06T18:32:12.765377Z","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":"2026-08-06T18:32:17.971997Z","title":"Transmil: Transformer based correlated multiple instance learning for whole slide image classification","venue":null,"work_id":"6d137bff-a9c1-4a71-9a9b-8f756ca51d8c","year":2021},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:12.924425Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:8c8e179ca5118c30b6bf6a2994ca1c906e7cf5184afc5dd8ab487eed917799f3","observation_id":"f8333de3-74e7-4d3f-bbde-fb1c9d4a0fdc","resolution":{"observed_at":"2026-08-06T18:32:18.047314Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:17.857829Z","title":"Mor- phological prototyping for unsupervised slide representation learning in computational pathology","venue":null,"work_id":"56d60675-3d71-44ec-b1b9-49a2e77279bc","year":2024},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:13.032114Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:6ec763d822550bc0afe64865c7a41ac380f8730536525c689c3d2e4f67fcbd03","observation_id":"4ad0d567-520c-4e95-9f43-5d942a5d02a2","resolution":{"observed_at":"2026-08-06T18:32:17.915227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00224","last_updated":"2024-06-28T20:37:01Z","snapshot_observed_at":"2026-07-06T18:38:46.314431Z","submitted_at":"2024-06-28T20:37:01Z","title":"Multimodal Prototyping for cancer survival prediction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00224","snapshot_observed_at":"2026-08-06T18:32:13.110753Z","title":"Multimodal prototyping for cancer survival prediction.arXiv preprint arXiv:2407.00224, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:13.110753Z"},"links":{"cited_paper":"/paper/2407.00224","citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:a2f6510e663f231a8be794bcc48d2fa6735eda11487046773b3e2896b03bcffa","observation_id":"66a05f42-b186-4b00-826a-1d0e505aaa4d","resolution":{"observed_at":"2026-08-06T18:32:13.110753Z","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":"2026-08-06T18:32:17.747904Z","title":"Inverse op- timal transport","venue":null,"work_id":"3ae9caeb-ad96-4c93-9d01-043fb01e3c91","year":2020},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:13.214048Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:c030944792407261660988d95d73ec320d2cc6db0c3868579fab2d144999a208","observation_id":"8e6c21bf-2e3b-49fa-976a-035df5106614","resolution":{"observed_at":"2026-08-06T18:32:17.783250Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:17.677548Z","title":"Multiple instance learning framework with masked hard instance mining for whole slide image classification","venue":null,"work_id":"fcab4dd6-10fb-42c5-a080-7e2ff5033823","year":null},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:13.326180Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:882e729baae91629f04d14cc774a565a3d8483bbf5a399ba34610f752f76923a","observation_id":"4b36f2ec-36a9-4b6a-b241-0995078b4366","resolution":{"observed_at":"2026-08-06T18:32:17.710097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:13.415261Z","title":"Attention is all you need","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:13.415261Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:4753354f6b2f8a425ae3b860916403f2e878ef3f5e9488a93afbcd03db16e596","observation_id":"8ba3d633-8491-4fa6-adc0-117feaa2e105","resolution":{"observed_at":"2026-08-06T18:32:13.415261Z","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":"2026-08-06T18:32:17.610556Z","title":"Revisiting multiple instance neural networks","venue":null,"work_id":"92c13b02-c80e-4ec1-810c-7cd76fc9de0c","year":2018},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:13.490746Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:ee6953f84160277fd328d1688a20f6f4c559fcb1d00f63f20795d8e6f6d1773c","observation_id":"5571e154-1279-49b1-b246-c62238574e90","resolution":{"observed_at":"2026-08-06T18:32:17.629270Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:17.523052Z","title":"Weakly supervised deep learning for whole slide lung cancer image analysis","venue":null,"work_id":"217e7132-7142-4daa-ad3a-88c5dd6d5a70","year":2019},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:13.548076Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:7dff64db2aa50630eaa08f9184e7cba8513b613e61383692b00321b7bdaa0e5a","observation_id":"d385f860-2bb9-4b6f-8457-5fcfa412fa00","resolution":{"observed_at":"2026-08-06T18:32:17.601524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:17.411238Z","title":"Transpath: Transformer-based self-supervised learning for histopatho- logical image classification","venue":null,"work_id":"1ab1b32e-c8d8-451f-8b0e-35e5d164c28c","year":2021},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:13.626192Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:fef1f035908d97a9ab76b8e49b7658b3364c773cfa00074165c50fe589419e35","observation_id":"dfbe11b9-3470-4831-bc91-fe844c9eef14","resolution":{"observed_at":"2026-08-06T18:32:17.462408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:17.288468Z","title":"Exploring low-rank property in multiple instance learning for whole slide image classifica- tion","venue":null,"work_id":"e53708a6-bc97-4f44-9ff5-25e3fa85b35c","year":2023},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:13.722343Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:86bdeaa7bf3a635a5756266aee87655c795049ceeb139eb8e57ad1ce76ff85c1","observation_id":"c8844108-db18-4b1c-8802-95dab174367a","resolution":{"observed_at":"2026-08-06T18:32:17.358186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.08125","last_updated":"2023-07-17T03:00:47Z","snapshot_observed_at":"2026-08-05T06:28:05.227986Z","submitted_at":"2023-01-19T15:38:43Z","title":"Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification","version":2},"cited_work":{"arxiv_id":"2301.08125","doi":null,"metadata_source":"pith","pith_arxiv_id":"2301.08125","snapshot_observed_at":"2026-08-06T18:32:15.042584Z","title":"Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification","venue":"cs.CV","work_id":"07ad8181-641a-44c6-b527-9254c7290562","year":2023},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:13.819749Z"},"links":{"cited_paper":"/paper/2301.08125","citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:52fda3d496df7998efa8e46b7d6f6cb399a9cdea8ba163f66d292e82508c21f0","observation_id":"b57664be-8061-430a-8eea-605aaa28a26a","resolution":{"observed_at":"2026-08-06T18:32:15.094609Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:17.128623Z","title":"Remix: A general and efficient framework for multiple instance learning based whole slide image classification","venue":null,"work_id":"d06a2796-25d6-40bd-9217-b8fa75e64b8b","year":2022},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:13.926855Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:e8b4ef41f7865418b820c5a043368b37cfc73a2ee301b7bdd16b9a6f00702dc9","observation_id":"a4810e42-b683-4fc9-a437-0e6e0c77306d","resolution":{"observed_at":"2026-08-06T18:32:17.206578Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:16.987054Z","title":"Bias in cross- entropy-based training of deep survival networks","venue":null,"work_id":"e2617c9d-7133-4189-9dab-9db181b94355","year":2020},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:14.002207Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:1d5588b6de130de6e50dc37ca65725c37adb466cc55f32da63799b5aa76cbc6a","observation_id":"1ed7cb1d-5556-43bf-b803-bb29383e5e7d","resolution":{"observed_at":"2026-08-06T18:32:17.044186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:16.814778Z","title":"Deep sets","venue":null,"work_id":"d96d3502-1548-41a7-bfd0-0d73dd83f609","year":2017},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:14.073373Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:a589250f0cd48bad7fcb18a216f3db4e8a2a0c10780e947d568808a346ec3521","observation_id":"7a696418-8022-4ee2-b692-375d876fb38e","resolution":{"observed_at":"2026-08-06T18:32:16.895340Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:16.672878Z","title":"Dtfd- mil: Double-tier feature distillation multiple instance learn- ing for histopathology whole slide image classification","venue":null,"work_id":"c5ee4b51-ae0d-4e4a-88e2-c28c6e985257","year":2022},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:14.203176Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:bf02675d82758ca041746ae397382532a04502f15340e014eb0a2e550d2cea12","observation_id":"5254d399-f673-4793-b920-5ed4d05b2dc5","resolution":{"observed_at":"2026-08-06T18:32:16.729810Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:16.504476Z","title":"Lookahead optimizer: k steps forward, 1 step back","venue":null,"work_id":"4bf41da2-6e81-4ce4-bfed-ce405524f9c7","year":2019},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:14.269482Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:fc62b3fe2a05d80176ca4d7012ee2a54409f599e9666720b9b15853fe21983d0","observation_id":"df894bf4-02af-4478-af46-56e686103eeb","resolution":{"observed_at":"2026-08-06T18:32:16.583782Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:16.335106Z","title":"Attention-challenging multi- ple instance learning for whole slide image classification","venue":null,"work_id":"e5c54544-8947-4e34-8c3e-5b9c4c78da6c","year":2024},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:14.372356Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:b1ab944133da902889baa3afd38d1b18f128f595182e675380f1aefc50d62d8f","observation_id":"a7c63c1d-eb3f-4429-b3e2-4b3c9033d243","resolution":{"observed_at":"2026-08-06T18:32:16.407386Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:16.168589Z","title":"Single-cell morphological and topological atlas reveals the ecosystem diversity of human breast cancer","venue":null,"work_id":"a80da018-5f64-4b74-9872-eb720484fc8f","year":2023},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:14.468743Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:960bd3475f1ea74a0d2f91918961180d72e5a5d352fdc24f3a0fef0854935bde","observation_id":"de9682c8-3c1e-4e68-b1c4-53ecde5f8cae","resolution":{"observed_at":"2026-08-06T18:32:16.255062Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:16.051939Z","title":"A graph-transformer for whole slide image classifica- tion","venue":null,"work_id":"7d63744a-404c-4817-964b-bedc5cadc598","year":2022},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:14.561021Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:b70c22cc94373c8237527f0795187481abc2fa3aba658dd6a107dd6208cd0158","observation_id":"2508d1e2-a2f8-4a0b-a751-8189c4faad04","resolution":{"observed_at":"2026-08-06T18:32:16.120700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:14.634946Z","title":"Learning deep features for discrimina- tive localization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:14.634946Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:caa6f2e3e9b7d58f00e061525404a9ec87cf2b4cea5b05bec443cef0275ff2ff","observation_id":"fe7db1be-f070-4c3e-aac9-2f6af5e7614b","resolution":{"observed_at":"2026-08-06T18:32:14.634946Z","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":"2026-08-06T18:32:15.876421Z","title":"Are all losses created equal: A neural collapse perspective","venue":null,"work_id":"10767ae2-702d-4a6e-b918-a9dbe427ece5","year":2022},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:14.732936Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:9fd9aaaf8159ccde46b5b657bec2ea79966c58b59aa848b8bb36339884310bbc","observation_id":"65145382-f29b-42b6-b8e6-e58f342d1b27","resolution":{"observed_at":"2026-08-06T18:32:15.985667Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:15.728093Z","title":"Dgr-mil: Exploring diverse global representation in multiple instance learning for whole slide image classification","venue":null,"work_id":"ac2d98b5-7319-430e-9afd-998a84242193","year":2025},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:14.791217Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:2d457905f08a8d7308be9854b1cd1822d111271ed94adc22379e70459b6843c9","observation_id":"6e7aa48a-429d-4a7e-bc5a-e473caa1984b","resolution":{"observed_at":"2026-08-06T18:32:15.802455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:15.554956Z","title":"How ef- fective can dropout be in multiple instance learning ? In Forty-second International Conference on Machine Learn- ing, 2025","venue":null,"work_id":"7a34c893-27c9-4451-8378-dfbebd77e565","year":2025},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:14.855467Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:1797b5577a64b63ab4c54f59c8186ee97772536c3f002a96c7c0d4985ce6ea20","observation_id":"d3b693a5-9ebf-4a3d-b3f3-11117b8fbc21","resolution":{"observed_at":"2026-08-06T18:32:15.630744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-06T18:32:15.381996Z","title":"A geometric analysis of neu- ral collapse with unconstrained features","venue":null,"work_id":"2c652ded-a4f4-4cdc-b723-5f6c04ec1d90","year":2021},"citing_paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:14.930028Z"},"links":{"citing_paper":"/paper/2507.08178"},"observation_digest":"sha256:06630a888effacded32aaa0e6b7a0b3166264590188d5a2dd0aa3809df9c695f","observation_id":"256583e3-fb80-4cf2-abc5-ef60c8984d30","resolution":{"observed_at":"2026-08-06T18:32:15.464439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.08178","last_updated":"2025-07-10T21:19:30Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-06T18:22:41.726828Z","submitted_at":"2025-07-10T21:19:30Z","title":"Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis"},"reference_resolution":{"displayed":68,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":2,"verified_fuzzy":55},"total_outbound_references":68},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2507.08178."}