{"as_of":"2026-08-23T00:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:30791fca8374162d70791116676ac1fc797a3ccf9c2bcf2817048d76728ff7ce","coverage":[{"denominator":19,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T21:23:40.455932Z","state":"measured"},{"denominator":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.09993/citation-record","integrity":"/paper/2505.09993/integrity","json":"/paper/2505.09993/citation-record.json","paper":"/paper/2505.09993"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:23:41.037432Z","title":null,"venue":null,"work_id":"baa678c0-2c3f-433d-b54f-1483b6d62909","year":2022},"citing_paper":{"arxiv_id":"2505.09993","last_updated":"2025-05-15T06:06:24Z","snapshot_observed_at":"2026-08-15T21:17:13.586148Z","submitted_at":"2025-05-15T06:06:24Z","title":"Automated grading and staging of ovarian cancer using deep learning on the transmission optical microscopy bright-field images of thin biopsy tissue samples","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T21:23:40.269136Z"},"links":{"citing_paper":"/paper/2505.09993"},"observation_digest":"sha256:717da1a35062c16d3b5898bf2616e9bd2084df9a10fab47d246f76a6435b0389","observation_id":"79ec1883-6c91-48fa-a795-96b593ac8155","resolution":{"observed_at":"2026-08-15T21:23:41.043015Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:23:40.996502Z","title":"Andreou, M","venue":null,"work_id":"d5828aa9-fe90-41a7-b0fd-645dfbee732e","year":2023},"citing_paper":{"arxiv_id":"2505.09993","last_updated":"2025-05-15T06:06:24Z","snapshot_observed_at":"2026-08-15T21:17:13.586148Z","submitted_at":"2025-05-15T06:06:24Z","title":"Automated grading and staging of ovarian cancer using deep learning on the transmission optical microscopy bright-field images of thin biopsy tissue samples","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T21:23:40.275199Z"},"links":{"citing_paper":"/paper/2505.09993"},"observation_digest":"sha256:8427b89ca52b0b4c549b7183d45772b6e651b0ae88847600f1d225a8247d32af","observation_id":"0a57cccb-7f71-4b2c-ab3b-34ebfaad7073","resolution":{"observed_at":"2026-08-15T21:23:41.024720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:23:40.939390Z","title":null,"venue":null,"work_id":"2b3e4530-2832-4f70-a17a-e96ec10257ef","year":null},"citing_paper":{"arxiv_id":"2505.09993","last_updated":"2025-05-15T06:06:24Z","snapshot_observed_at":"2026-08-15T21:17:13.586148Z","submitted_at":"2025-05-15T06:06:24Z","title":"Automated grading and staging of ovarian cancer using deep learning on the transmission optical microscopy bright-field images of thin biopsy tissue samples","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T21:23:40.281806Z"},"links":{"citing_paper":"/paper/2505.09993"},"observation_digest":"sha256:b52afc8f0ef768a35ffd5a183ba5a1ff9df3965bfdda14e64ff86f540d6117b6","observation_id":"2869c47b-1d10-437a-b0c9-6e8f3147f767","resolution":{"observed_at":"2026-08-15T21:23:40.958556Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:23:40.923335Z","title":null,"venue":null,"work_id":"fc42c156-40ab-43a4-94ff-703e29e5f6fd","year":2021},"citing_paper":{"arxiv_id":"2505.09993","last_updated":"2025-05-15T06:06:24Z","snapshot_observed_at":"2026-08-15T21:17:13.586148Z","submitted_at":"2025-05-15T06:06:24Z","title":"Automated grading and staging of ovarian cancer using deep learning on the transmission optical microscopy bright-field images of thin biopsy tissue samples","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T21:23:40.286892Z"},"links":{"citing_paper":"/paper/2505.09993"},"observation_digest":"sha256:97fdfac1cb9508bc802e072f228e455e1e581e06716f7b995b463ac6a48c8b5b","observation_id":"6f017e1d-1039-4b19-92f5-131eb42f304a","resolution":{"observed_at":"2026-08-15T21:23:40.928737Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:23:40.906531Z","title":"Javadi, D","venue":null,"work_id":"7bce18db-afee-4438-ae75-938a63c584e8","year":2016},"citing_paper":{"arxiv_id":"2505.09993","last_updated":"2025-05-15T06:06:24Z","snapshot_observed_at":"2026-08-15T21:17:13.586148Z","submitted_at":"2025-05-15T06:06:24Z","title":"Automated grading and staging of ovarian cancer using deep learning on the transmission optical microscopy bright-field images of thin biopsy tissue samples","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T21:23:40.292572Z"},"links":{"citing_paper":"/paper/2505.09993"},"observation_digest":"sha256:ea3fa224146a193e615f359118e0ee5588a8c63e01a5465353c1b6b42bf7599f","observation_id":"0b4006bf-1cfd-4331-9ecc-d05f1b3a1f5b","resolution":{"observed_at":"2026-08-15T21:23:40.911457Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:23:40.889790Z","title":null,"venue":null,"work_id":"515551fd-ce69-4503-af68-18fbdb3f8d81","year":2006},"citing_paper":{"arxiv_id":"2505.09993","last_updated":"2025-05-15T06:06:24Z","snapshot_observed_at":"2026-08-15T21:17:13.586148Z","submitted_at":"2025-05-15T06:06:24Z","title":"Automated grading and staging of ovarian cancer using deep learning on the transmission optical microscopy bright-field images of thin biopsy tissue samples","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T21:23:40.310401Z"},"links":{"citing_paper":"/paper/2505.09993"},"observation_digest":"sha256:697c0133073bc66fbbe93bf6def75385edc47b0dbab2606a9799abea1fbb40a7","observation_id":"d2912be7-d399-480d-8e69-163cac99fbdf","resolution":{"observed_at":"2026-08-15T21:23:40.894987Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:23:40.873639Z","title":null,"venue":null,"work_id":"da1bb4b2-efd8-4f0c-9fa8-98704f3aad8b","year":2019},"citing_paper":{"arxiv_id":"2505.09993","last_updated":"2025-05-15T06:06:24Z","snapshot_observed_at":"2026-08-15T21:17:13.586148Z","submitted_at":"2025-05-15T06:06:24Z","title":"Automated grading and staging of ovarian cancer using deep learning on the transmission optical microscopy bright-field images of thin biopsy tissue samples","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T21:23:40.330221Z"},"links":{"citing_paper":"/paper/2505.09993"},"observation_digest":"sha256:c3d7957c5f371b307b29d289bba63c827760709affc3114435e1a6f67cd98eaf","observation_id":"ef9350ee-734f-47c8-be79-19dafec0c80d","resolution":{"observed_at":"2026-08-15T21:23:40.878727Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:23:40.817165Z","title":null,"venue":null,"work_id":"e34835d1-aa51-4460-a3d8-e221462cdb0c","year":2025},"citing_paper":{"arxiv_id":"2505.09993","last_updated":"2025-05-15T06:06:24Z","snapshot_observed_at":"2026-08-15T21:17:13.586148Z","submitted_at":"2025-05-15T06:06:24Z","title":"Automated grading and staging of ovarian cancer using deep learning on the transmission optical microscopy bright-field images of thin biopsy tissue samples","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T21:23:40.364480Z"},"links":{"citing_paper":"/paper/2505.09993"},"observation_digest":"sha256:42735d40a24a1e5cd006614372aa278f77df78d23a976c423a91343c3a13f368","observation_id":"50383e82-62a9-4d33-9afb-e64dbd398b73","resolution":{"observed_at":"2026-08-15T21:23:40.849337Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:23:40.759384Z","title":"Prasad, A","venue":null,"work_id":"ef317870-716d-4e84-9108-4776aae86283","year":2024},"citing_paper":{"arxiv_id":"2505.09993","last_updated":"2025-05-15T06:06:24Z","snapshot_observed_at":"2026-08-15T21:17:13.586148Z","submitted_at":"2025-05-15T06:06:24Z","title":"Automated grading and staging of ovarian cancer using deep learning on the transmission optical microscopy bright-field images of thin biopsy tissue samples","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T21:23:40.391126Z"},"links":{"citing_paper":"/paper/2505.09993"},"observation_digest":"sha256:1eb81bb14c0b6655f913c8e5323815a1304c0abd51c870a1892e1ff56196120b","observation_id":"1dba4cb4-d177-49e4-98d5-b3a32dabe0bb","resolution":{"observed_at":"2026-08-15T21:23:40.787166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:23:40.735982Z","title":null,"venue":null,"work_id":"2e97a8e9-cc35-41e7-b3d1-ac7f447a9c84","year":2025},"citing_paper":{"arxiv_id":"2505.09993","last_updated":"2025-05-15T06:06:24Z","snapshot_observed_at":"2026-08-15T21:17:13.586148Z","submitted_at":"2025-05-15T06:06:24Z","title":"Automated grading and staging of ovarian cancer using deep learning on the transmission optical microscopy bright-field images of thin biopsy tissue samples","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T21:23:40.399472Z"},"links":{"citing_paper":"/paper/2505.09993"},"observation_digest":"sha256:3bce200a2e80d3251fcf36851b63185839b3ebac39f016774173cf8edf89bc74","observation_id":"122614a6-d879-4b52-a72c-8bdbee30de4e","resolution":{"observed_at":"2026-08-15T21:23:40.743458Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:23:40.717071Z","title":"Breen, K","venue":null,"work_id":"82dc2a42-5aa9-49aa-9082-1157b9d6b851","year":2023},"citing_paper":{"arxiv_id":"2505.09993","last_updated":"2025-05-15T06:06:24Z","snapshot_observed_at":"2026-08-15T21:17:13.586148Z","submitted_at":"2025-05-15T06:06:24Z","title":"Automated grading and staging of ovarian cancer using deep learning on the transmission optical microscopy bright-field images of thin biopsy tissue samples","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T21:23:40.405485Z"},"links":{"citing_paper":"/paper/2505.09993"},"observation_digest":"sha256:f59c402bc90eda9b8b101066f80dbe026282be5e26c56e331829c7529a025603","observation_id":"3f0b6390-e208-4a5b-bf24-13fdb34c2772","resolution":{"observed_at":"2026-08-15T21:23:40.722326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:23:40.700359Z","title":"Breen, K","venue":null,"work_id":"6248152c-2cbc-4d6a-9582-9ac393ff38e0","year":2025},"citing_paper":{"arxiv_id":"2505.09993","last_updated":"2025-05-15T06:06:24Z","snapshot_observed_at":"2026-08-15T21:17:13.586148Z","submitted_at":"2025-05-15T06:06:24Z","title":"Automated grading and staging of ovarian cancer using deep learning on the transmission optical microscopy bright-field images of thin biopsy tissue samples","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T21:23:40.412942Z"},"links":{"citing_paper":"/paper/2505.09993"},"observation_digest":"sha256:ea3cddde2989f7dbdb39e8c0dd603dc7cc76cea2c44336286767aecab5b03c09","observation_id":"22ec7a61-2673-46fa-8eed-c51286058570","resolution":{"observed_at":"2026-08-15T21:23:40.705388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:23:40.674483Z","title":"Meinhold-Heerlein and S","venue":null,"work_id":"1cc4e14e-1b97-4668-9ab9-2af19256ef89","year":2014},"citing_paper":{"arxiv_id":"2505.09993","last_updated":"2025-05-15T06:06:24Z","snapshot_observed_at":"2026-08-15T21:17:13.586148Z","submitted_at":"2025-05-15T06:06:24Z","title":"Automated grading and staging of ovarian cancer using deep learning on the transmission optical microscopy bright-field images of thin biopsy tissue samples","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T21:23:40.418131Z"},"links":{"citing_paper":"/paper/2505.09993"},"observation_digest":"sha256:cfe4355bd6f83343fdb31f8aed8a40c5af29480b2e5c864ef4614c21d1a38f11","observation_id":"cfe1ef80-1b7d-4365-b17f-7480361b7857","resolution":{"observed_at":"2026-08-15T21:23:40.689278Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:23:40.592141Z","title":null,"venue":null,"work_id":"d85e1775-7ace-41fd-b352-24e597f61665","year":2016},"citing_paper":{"arxiv_id":"2505.09993","last_updated":"2025-05-15T06:06:24Z","snapshot_observed_at":"2026-08-15T21:17:13.586148Z","submitted_at":"2025-05-15T06:06:24Z","title":"Automated grading and staging of ovarian cancer using deep learning on the transmission optical microscopy bright-field images of thin biopsy tissue samples","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T21:23:40.427236Z"},"links":{"citing_paper":"/paper/2505.09993"},"observation_digest":"sha256:5790e41984ab844f1606c9c613c18214cb1404093f57190c7ae5b6f2bb07e9ac","observation_id":"73a4aacc-9817-4136-ac11-f50533a03293","resolution":{"observed_at":"2026-08-15T21:23:40.627449Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:23:40.567199Z","title":null,"venue":null,"work_id":"c56a15f3-af8b-4107-9d91-370f2704e3a8","year":2015},"citing_paper":{"arxiv_id":"2505.09993","last_updated":"2025-05-15T06:06:24Z","snapshot_observed_at":"2026-08-15T21:17:13.586148Z","submitted_at":"2025-05-15T06:06:24Z","title":"Automated grading and staging of ovarian cancer using deep learning on the transmission optical microscopy bright-field images of thin biopsy tissue samples","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T21:23:40.434006Z"},"links":{"citing_paper":"/paper/2505.09993"},"observation_digest":"sha256:fb912509b91b682e964fabe71afbe03fe9704bfa87af2863caa7f90c1db5c736","observation_id":"a362fb86-f2fb-4129-9a51-25119bea5a3d","resolution":{"observed_at":"2026-08-15T21:23:40.572451Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:23:40.548998Z","title":"Sengupta, M","venue":null,"work_id":"d580842e-eabc-4a64-a21a-c59ba45eed9d","year":2025},"citing_paper":{"arxiv_id":"2505.09993","last_updated":"2025-05-15T06:06:24Z","snapshot_observed_at":"2026-08-15T21:17:13.586148Z","submitted_at":"2025-05-15T06:06:24Z","title":"Automated grading and staging of ovarian cancer using deep learning on the transmission optical microscopy bright-field images of thin biopsy tissue samples","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T21:23:40.439317Z"},"links":{"citing_paper":"/paper/2505.09993"},"observation_digest":"sha256:283fcebd221334303c141193496b4aa62bc625b9793dee6c9bb4daa43c175e0b","observation_id":"5a3cb8aa-60b2-4dcd-be0f-a40bb2a64cc9","resolution":{"observed_at":"2026-08-15T21:23:40.554974Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:23:40.531504Z","title":"Jarkman, M","venue":null,"work_id":"571ac79f-b57d-456f-9800-c27e96cc4e41","year":2022},"citing_paper":{"arxiv_id":"2505.09993","last_updated":"2025-05-15T06:06:24Z","snapshot_observed_at":"2026-08-15T21:17:13.586148Z","submitted_at":"2025-05-15T06:06:24Z","title":"Automated grading and staging of ovarian cancer using deep learning on the transmission optical microscopy bright-field images of thin biopsy tissue samples","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T21:23:40.445573Z"},"links":{"citing_paper":"/paper/2505.09993"},"observation_digest":"sha256:edee4218f7948c2db99cdbf8fc865d93e7ea5d7115837117f32635c9a48d4f96","observation_id":"076f1968-150b-4f02-90df-2c0640463291","resolution":{"observed_at":"2026-08-15T21:23:40.536828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:23:40.512774Z","title":"Greeley, L","venue":null,"work_id":"de6df95e-4ed1-4d1c-8455-a5222832486b","year":2024},"citing_paper":{"arxiv_id":"2505.09993","last_updated":"2025-05-15T06:06:24Z","snapshot_observed_at":"2026-08-15T21:17:13.586148Z","submitted_at":"2025-05-15T06:06:24Z","title":"Automated grading and staging of ovarian cancer using deep learning on the transmission optical microscopy bright-field images of thin biopsy tissue samples","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T21:23:40.450830Z"},"links":{"citing_paper":"/paper/2505.09993"},"observation_digest":"sha256:2d52b4e12ca7424ac979c39ef777628190726144752bd3051cbf8010f0a5b198","observation_id":"b3aa1a0a-ea71-4c04-ad7f-1515ddb3f938","resolution":{"observed_at":"2026-08-15T21:23:40.518121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:23:40.494280Z","title":"Joshua, K","venue":null,"work_id":"851c1bec-51b3-47fb-ab9a-1b0b24f2c555","year":2025},"citing_paper":{"arxiv_id":"2505.09993","last_updated":"2025-05-15T06:06:24Z","snapshot_observed_at":"2026-08-15T21:17:13.586148Z","submitted_at":"2025-05-15T06:06:24Z","title":"Automated grading and staging of ovarian cancer using deep learning on the transmission optical microscopy bright-field images of thin biopsy tissue samples","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T21:23:40.455932Z"},"links":{"citing_paper":"/paper/2505.09993"},"observation_digest":"sha256:e4c9329e4905bfbf94920f87279e66dd1a67229087fe0d6c15c2dd0325686998","observation_id":"3b89593c-5c83-44c4-910b-fbbbfd822be7","resolution":{"observed_at":"2026-08-15T21:23:40.500876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.09993","last_updated":"2025-05-15T06:06:24Z","latest_version":1,"primary_category":"physics.med-ph","snapshot_observed_at":"2026-08-15T21:17:13.586148Z","submitted_at":"2025-05-15T06:06:24Z","title":"Automated grading and staging of ovarian cancer using deep learning on the transmission optical microscopy bright-field images of thin biopsy tissue samples"},"reference_resolution":{"displayed":19,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":10},"total_outbound_references":19},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2505.09993."}