{"as_of":"2026-08-23T17:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b000b05bbe931b580cd9ca4d6996ad35de251d196b8e734e6dc2ee67c526628a","coverage":[{"denominator":35,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":35,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T13:24:29.575996Z","state":"measured"},{"denominator":35,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":35,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+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/2507.20714/citation-record","integrity":"/paper/2507.20714/integrity","json":"/paper/2507.20714/citation-record.json","paper":"/paper/2507.20714"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T13:24:34.905554Z","title":"World cancer research fund international","venue":null,"work_id":"20b844f3-7e97-4d9c-b17e-86cbd73fc52c","year":2023},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:26.236628Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:fa994e6d34dc4dccda63204fd1a431aea41cb4eb16ce1dde404c42318597dff9","observation_id":"561a3e37-ac23-4900-8b1e-006466999638","resolution":{"observed_at":"2026-08-06T13:24:34.985950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:34.707891Z","title":"National foundation for cancer research","venue":null,"work_id":"55f8f7f0-0763-4019-b254-2397727dd954","year":null},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:26.309839Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:699fa31abedd647eb74b1831e5179671429283b187349e2795e5c813a7f37ae2","observation_id":"f16f9957-f029-4cc6-9f5b-d65acc402914","resolution":{"observed_at":"2026-08-06T13:24:34.818539Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-08-14T18:16:28.847993Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-06T13:24:26.423933Z","title":"Bert: Pre-training of deep bidirectional trans- formers for language understanding,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:26.423933Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:89de6bafc3aac3c5034f71f952421aa332630ac239df704e59f9a7fdecf974ea","observation_id":"76be3a72-13ca-4dea-9c1e-7e90bded0683","resolution":{"observed_at":"2026-08-06T13:24:26.423933Z","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":"2026-08-06T13:24:34.516907Z","title":"Exploring bert and elmo for bangla spam sms dataset creation and detection,","venue":null,"work_id":"b19fbff5-d01d-4eda-b6d7-5a7022328c48","year":2023},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:26.526585Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:4e28d26cecb3e5b2981141da6a41760aa91e95b6ac3aa2bcc2da0487627c2a5e","observation_id":"a3179fa3-596f-41c5-8e37-223d6dbbae49","resolution":{"observed_at":"2026-08-06T13:24:34.591410Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:34.310443Z","title":"Dietary patterns derived from principal component analysis (pca) and risk of colorectal cancer: a systematic re- view and meta-analysis,","venue":null,"work_id":"6b54fc7a-3e98-416f-b56f-1ee998ef3efc","year":2019},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:26.586460Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:3123c99373ef3617e82bd32a810e62ffe6b704ba2ce668a8f3331ee2a0afc849","observation_id":"787f109a-3b8e-45df-a060-98cec82a6b5c","resolution":{"observed_at":"2026-08-06T13:24:34.367206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:34.137959Z","title":"Smote for learning from imbalanced data: progress and challenges, marking the 15-year an- niversary,","venue":null,"work_id":"4308b946-9301-4390-89e1-9a517f44cf22","year":2018},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:26.694128Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:29b6cc163f2731b0bde140fbe6359df6ee901b346cb765cf2c515eca47d0b6c9","observation_id":"564c7298-a072-4a3f-8a3c-c66204653152","resolution":{"observed_at":"2026-08-06T13:24:34.206522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:33.988594Z","title":"Prediction of breast cancer re- currence in five years using machine learning tech- niques and shap,","venue":null,"work_id":"9de1a4c0-2abf-451c-b1a1-c56a0a268e99","year":2021},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:26.828994Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:60ef63f92fccb308d199940859e43b9276bbafdaa715975365eb7c3ff7948bba","observation_id":"f09a0b78-eb80-4a4b-accb-4a065a570d4d","resolution":{"observed_at":"2026-08-06T13:24:34.033359Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:33.828651Z","title":"An explainable ai-driven biomarker discovery framework for non-small cell lung cancer classification,","venue":null,"work_id":"9079e2df-7cd7-4ed8-91d0-7cf89292d89b","year":2023},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:26.936832Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:79ce4464906a60e2a5037a6ef2052c4ff030aa25d4bb89b8893c4ebb8b1aee1c","observation_id":"fcf14646-9185-4655-9660-361baa8b6148","resolution":{"observed_at":"2026-08-06T13:24:33.919615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2208.00583","last_updated":"2022-08-01T03:16:10Z","snapshot_observed_at":"2026-08-16T16:42:06.423355Z","submitted_at":"2022-08-01T03:16:10Z","title":"An Enhanced Deep Learning Technique for Prostate Cancer Identification Based on MRI Scans","version":1},"cited_work":{"arxiv_id":"2208.00583","doi":null,"metadata_source":"pith","pith_arxiv_id":"2208.00583","snapshot_observed_at":"2026-08-06T13:24:29.848346Z","title":"An Enhanced Deep Learning Technique for Prostate Cancer Identification Based on MRI Scans","venue":"eess.IV","work_id":"0ca8ca2d-8da7-48f7-8c14-2855baf92e9f","year":2022},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:27.047750Z"},"links":{"cited_paper":"/paper/2208.00583","citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:a11cc1bb6123b11b21d77958bb632fc8b3b621838353c6ad371d18442f392987","observation_id":"a178d0b7-c5f6-4593-ad7d-0119ec0ffe12","resolution":{"observed_at":"2026-08-06T13:24:29.911522Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:33.696016Z","title":"Automatic glea- son grading of h and e stained microscopic prostate images using deep convolutional neural networks,","venue":null,"work_id":"548ffeb3-fa34-4c7a-8666-beadf4729e2d","year":2017},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:27.111150Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:59118eebf6b124bd4306ecf2dc5b04a29f0df457db890b076df7404edd70371f","observation_id":"c334c4d7-dab6-4131-8749-92738b668205","resolution":{"observed_at":"2026-08-06T13:24:33.757196Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:33.550194Z","title":"Prostate can- cer classification with multiparametric mri transfer learning model,","venue":null,"work_id":"c12b9ea9-c01e-484b-be91-7e6359c5a5e0","year":2019},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:27.197859Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:4ef9ea5c83ad9be262f45fa3167755806261e30616eb42152ef7f2f0c495cca6","observation_id":"2671a728-93f3-4d9a-9e69-ca6caeb1ef3a","resolution":{"observed_at":"2026-08-06T13:24:33.617636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:33.379681Z","title":"A machine learning radiomics model based on bpmri to predict bone metastasis in newly di- agnosed prostate cancer patients.,","venue":null,"work_id":"70d7e115-4c32-4363-9ed8-a8051e787e13","year":2024},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:27.320663Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:1932f9d6b62dd06c7824a3c6c1b2b9354a7dfa4fc4a240a9a837da9ddeedc0da","observation_id":"e7499be6-36c5-41dd-9c7c-471987f44d39","resolution":{"observed_at":"2026-08-06T13:24:33.460128Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:33.224517Z","title":"Machine learning approach for classification of prostate cancer based on clinical biomarkers,","venue":null,"work_id":"06ed106b-518f-4583-b70c-d1737627d5b8","year":2022},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:27.387234Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:2a37fb705625de80a5da162976154f1b50db301cecbbf22fe01ca982eedbd593","observation_id":"69add2f2-1563-4c1e-b9de-3d60330a7254","resolution":{"observed_at":"2026-08-06T13:24:33.321749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:33.100781Z","title":"Prediction of prostate cancer us- ing machine learning algorithms,","venue":null,"work_id":"9b2b6432-2325-432d-a84d-cddf4339f653","year":2020},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:27.507249Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:99c1dba78e446229ee3c4a7c9e9fdd3a0dcbb461b9131f9546861d91e7b24375","observation_id":"2fba9b23-5bb2-4616-bd7d-89810a56e7a4","resolution":{"observed_at":"2026-08-06T13:24:33.147849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:32.939794Z","title":"Improving accuracy: Com- parative analysis of machine learning models for prostate cancer prediction,","venue":null,"work_id":"104edea1-f599-416b-9c83-0d13fd0eeb7d","year":2024},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:27.623205Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:ba5eb0ee566abe5b636ee741cedb872491f6f2d0ec06a0f5f32e97537ddf9b8f","observation_id":"90537070-aa95-4256-80ac-2100b5e7acf5","resolution":{"observed_at":"2026-08-06T13:24:32.969218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:32.812801Z","title":"Performance analysis of machine learning classifiers for predicting diabetes and prostate cancer,","venue":null,"work_id":"f3c47d92-7805-40d4-8caa-7c3bcaf84a96","year":2020},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:27.707396Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:60d1b348a04423beddb534fbf1c8235393596f15ea38858bc555c86ab3ec60c5","observation_id":"7a312774-93da-4881-85e5-66added7aec0","resolution":{"observed_at":"2026-08-06T13:24:32.874343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:32.647331Z","title":"A novel deep learning-based technique for detect- ing prostate cancer in mri images,","venue":null,"work_id":"b4689b3e-a67c-4a90-b096-3136cad0b932","year":2024},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:27.831676Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:cf1f77faa1374831b02060bf09c619ace3d7670cac15b298e7604776ce8860f2","observation_id":"9c70d1ab-36b2-47f6-a03a-e1275f7c0863","resolution":{"observed_at":"2026-08-06T13:24:32.709134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:32.516725Z","title":"Gleason score prediction for the severity of prostate metastasis using machine learn- ing,","venue":null,"work_id":"588314c4-cf15-41c0-b9f5-c1ecd613bba8","year":2024},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:27.932123Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:355735a38e98db1fb558bacf3de8267be65cc4b4dec847326cb314e75164db4d","observation_id":"091643fc-8837-4080-9dae-8ebd792c92e9","resolution":{"observed_at":"2026-08-06T13:24:32.591553Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:32.366391Z","title":"Automated classifica- tion of significant prostate cancer on mri: a system- atic review on the performance of machine learning applications,","venue":null,"work_id":"701b2608-b246-4c0a-9136-3ea7bdd8d661","year":2020},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:28.047510Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:7dd72d6b34bd341c04568a6933bf5ab7721981211ec02fd40f64ad54a5182c04","observation_id":"646db522-01f8-4cdf-8573-9977da3d1b70","resolution":{"observed_at":"2026-08-06T13:24:32.425237Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:32.238301Z","title":"A state-of- the-art review on machine learning-based methods for prostate cancer diagnosis,","venue":null,"work_id":"ee1a8b5f-1b00-4e12-b35b-0670d1efa8c9","year":2021},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:28.155026Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:86777142a7bb164c125237ab2a61c9568bab45ef5e84198a16569c75cbf46a0c","observation_id":"2a617bde-9a34-4ffa-a96f-693f023d074e","resolution":{"observed_at":"2026-08-06T13:24:32.277500Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:32.085149Z","title":"Comparison of ma- chine learning to deep learning for automated anno- tation of gleason patterns in whole mount prostate cancer histology,","venue":null,"work_id":"1b4d54e3-2c74-4bbd-b50f-7044f8578ab5","year":2022},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:28.258675Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:6413267bb5bba5d23a7f1b4ec6b5920b5a2c38f62a830cb52f8f1d642177a15c","observation_id":"0df8f941-3722-41b7-a523-d956caac053f","resolution":{"observed_at":"2026-08-06T13:24:32.180519Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:31.967981Z","title":"Textured-based deep learn- ing in prostate cancer classification with 3t multi- parametric mri: comparison with pi-rads-based clas- sification,","venue":null,"work_id":"3aea536a-5b95-4b5a-9060-138edb6102f9","year":2021},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:28.331943Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:85aafe5e525479e84278058dec7253a54b5fc37c43b579db3f68a4f33be587c9","observation_id":"4b801e46-55e1-4623-8c1e-b6b975cea76d","resolution":{"observed_at":"2026-08-06T13:24:32.045796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:31.803232Z","title":"Accessed:, 2024","venue":null,"work_id":"4a7d9459-6643-4187-b0a4-95dadf148ac7","year":2024},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:28.439233Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:360977b2a0b475989c265b36ee6db752c4feaadaaf1df052710e3f5ca0a11e91","observation_id":"120f5156-f348-4054-9917-f95ca4fb9509","resolution":{"observed_at":"2026-08-06T13:24:31.881200Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.11303","last_updated":"2022-03-09T15:44:24Z","snapshot_observed_at":"2026-08-16T18:01:00.757426Z","submitted_at":"2021-08-25T16:00:56Z","title":"CancerBERT: a BERT model for Extracting Breast Cancer Phenotypes from Electronic Health Records","version":2},"cited_work":{"arxiv_id":"2108.11303","doi":null,"metadata_source":"pith","pith_arxiv_id":"2108.11303","snapshot_observed_at":"2026-08-06T13:24:29.680808Z","title":"CancerBERT: a BERT model for Extracting Breast Cancer Phenotypes from Electronic Health Records","venue":"cs.IR","work_id":"6f54e7d6-7ee7-44d8-81d9-583a68eb48c6","year":2021},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:28.519791Z"},"links":{"cited_paper":"/paper/2108.11303","citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:467ec599483009fa4e3d8fea2ede28d78548fe15a13da6406543fa200cdc4c6c","observation_id":"2999b3ff-ee12-4935-a3ca-524f694fe183","resolution":{"observed_at":"2026-08-06T13:24:29.739220Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:31.652932Z","title":"Skcv: Strat- ified k-fold cross-validation on ml classifiers for pre- dicting cervical cancer,","venue":null,"work_id":"95733236-054b-4078-b62a-5ada01366d3a","year":2022},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:28.634571Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:669b68b60b7b6df2e9bee1a0bf2c539719f7e5da69e778f0f15e5127cdc82f09","observation_id":"5758faa3-9030-417b-b6b2-722d13c4edd2","resolution":{"observed_at":"2026-08-06T13:24:31.729992Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:31.473215Z","title":"Deep learning hybrid models for multilingual cyberbully- ing detection: Insights from bangla and chittagonian languages,","venue":null,"work_id":"20fda5b4-b184-46f0-92e7-3a9c2063db03","year":2023},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:28.704721Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:52b5448ee9e9f58f5640f8539c2c5a5bc002887ecebbd9fae7835ec69bcc88ce","observation_id":"fb6ca64d-f70c-4bc9-bc84-6ddc682134c9","resolution":{"observed_at":"2026-08-06T13:24:31.569876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:31.334375Z","title":"Scikit-learn,","venue":null,"work_id":"1561c24f-0507-4751-85a4-5946d7761dc4","year":2016},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:28.777749Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:5ea1dd05dc6e46fb5270907617a99c1d971b72b7b1bbd4a47a63db7d683209e4","observation_id":"80202855-7839-4ff9-aee6-1a8012f1e28e","resolution":{"observed_at":"2026-08-06T13:24:31.393837Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:31.185664Z","title":"Explaining intrusion detection-based convolutional neural networks using shapley additive explanations (shap),","venue":null,"work_id":"d5a96ec5-7d9c-4fb1-b133-1125ca2f5617","year":2022},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:28.858044Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:129b732b362ca3bfe8767b00ea8113a386768f5f0b0ad9d21befc3e9e55dbdc4","observation_id":"41b34208-9b20-4c2d-9329-5b7b3211c807","resolution":{"observed_at":"2026-08-06T13:24:31.260793Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:31.034221Z","title":"An ensemble method of the machine learning to prognosticate the gastric cancer,","venue":null,"work_id":"82362e5b-f071-4ed2-9ee3-79cfde578eb5","year":2023},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:28.979885Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:518c0771a7e206bcc238b4b706ae59a045da455c2d71b3b600c99ac1346583ea","observation_id":"4950d75c-114b-4d66-bb44-01aa34054745","resolution":{"observed_at":"2026-08-06T13:24:31.110033Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:30.865317Z","title":"Optimized stacking ensemble learn- ing model for breast cancer detection and classifica- tion using machine learning,","venue":null,"work_id":"c6f9ea5d-e40c-4c99-a098-f147d2e6dd57","year":2022},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:29.061437Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:17cae1c108335d715f98303b1ba204b80b8f2d035c2834d49b09039441bcc6ab","observation_id":"219f1d1d-a615-4f9b-b7a0-841d85e56c3d","resolution":{"observed_at":"2026-08-06T13:24:30.918629Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:30.715463Z","title":"AUC µ: A performance metric for multi-class machine learning models,","venue":null,"work_id":"96604db1-6f61-469d-87db-44baac524b46","year":2019},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:29.167859Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:ace0b7a871da9cc60cd3cd69c2a63fec13c0351a97946b65acd9dcd48042d457","observation_id":"04cc54fa-5681-4c8f-bb85-a5cf999f9644","resolution":{"observed_at":"2026-08-06T13:24:30.787268Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:30.595321Z","title":"What clinical trials of ablation for atrial fibrillation tell us – and what they do not,","venue":null,"work_id":"fd358f51-6369-40f6-a27d-a58b4dcbab8e","year":2021},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:29.269440Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:79a31698e5b2a6781c0dbf502d654829a6083da6f5c7309bddb0b2bfa41a6882","observation_id":"05edb947-a273-4381-b633-a21fe674d906","resolution":{"observed_at":"2026-08-06T13:24:30.648511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:30.400647Z","title":"A comparative study of pcs and pam50 prostate cancer classifica- tion schemes,","venue":null,"work_id":"bf600dda-94e5-4d78-b72e-d0a85f487696","year":2021},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:29.340522Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:45d427c4fa185cdd26f4c15c8d1a560ad424c28ca743f005b3d546a322b7e851","observation_id":"01bed99d-4076-40cc-89de-2b0c6ffd41a0","resolution":{"observed_at":"2026-08-06T13:24:30.482768Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:30.198126Z","title":"An introduction to shap values and machine learning interpretability","venue":null,"work_id":"c9d1aa02-1260-4d08-8837-5a2fe97bf6f7","year":null},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:29.450527Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:9a33bdc5329ca606add9052fe92e512edaca2eceab55815518751b9e81c66969","observation_id":"a147e9b8-c2e1-427b-86fb-e13dfa4bb187","resolution":{"observed_at":"2026-08-06T13:24:30.264793Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-06T13:24:30.025007Z","title":"Acknowledgment The study was undertaken at the Artificial Intelligence Laboratory (AI Lab) of Rangamati Science and Technol- ogy University in Bangladesh","venue":null,"work_id":"a52cf479-6a15-4907-859f-1d8df930e444","year":2024},"citing_paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T13:24:29.575996Z"},"links":{"citing_paper":"/paper/2507.20714"},"observation_digest":"sha256:4f470abf8708e863ab6a96cc22bb5f75eceb5f29b1c0f29c24810dccc4f42eff","observation_id":"f5d7e312-a0ba-4cad-9129-34a6c3eab2af","resolution":{"observed_at":"2026-08-06T13:24:30.078311Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.20714","last_updated":"2025-07-28T11:07:17Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T13:24:25.671979Z","submitted_at":"2025-07-28T11:07:17Z","title":"Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":2,"verified_fuzzy":32},"total_outbound_references":35},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2507.20714."}