{"as_of":"2026-08-18T17:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:39fb058315287e1e030f43edb5fb227197896d865557e5b13a70925ac17f8637","coverage":[{"denominator":20,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T14:25:02.587309Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2501.15363/citation-record","integrity":"/paper/2501.15363/integrity","json":"/paper/2501.15363/citation-record.json","paper":"/paper/2501.15363"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:25:02.956892Z","title":"Privacy-aware mobile sensing in vehicular networks,","venue":null,"work_id":"81d78d22-1295-4d44-ba68-922382c27306","year":2016},"citing_paper":{"arxiv_id":"2501.15363","last_updated":"2025-01-26T02:03:19Z","snapshot_observed_at":"2026-08-13T19:57:13.962358Z","submitted_at":"2025-01-26T02:03:19Z","title":"AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T14:25:02.487928Z"},"links":{"citing_paper":"/paper/2501.15363"},"observation_digest":"sha256:3d854e071442d025d66f8ec5808bb3a5a4a3f936cb89b2d2d13783bac9259a90","observation_id":"658a13e5-943b-4778-a366-3c42e6a4ede7","resolution":{"observed_at":"2026-08-10T14:25:02.966424Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T14:25:02.940140Z","title":"Rcps: Rectified contrastive pseudo supervision for semi-supervised medical image segmentation,","venue":null,"work_id":"65ee1d9e-4980-41b3-b4d3-ea43e2ac785a","year":2024},"citing_paper":{"arxiv_id":"2501.15363","last_updated":"2025-01-26T02:03:19Z","snapshot_observed_at":"2026-08-13T19:57:13.962358Z","submitted_at":"2025-01-26T02:03:19Z","title":"AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T14:25:02.493537Z"},"links":{"citing_paper":"/paper/2501.15363"},"observation_digest":"sha256:478b737d09c7a7978221cb7f6f8a5920fadb8b38f953dc1abe4509bd64a0e4a3","observation_id":"bbbb6b7c-7f83-40cf-8105-e086ac2dbd10","resolution":{"observed_at":"2026-08-10T14:25:02.945390Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2001.07761","last_updated":"2020-01-21T20:22:10Z","snapshot_observed_at":"2026-07-06T08:51:55.210446Z","submitted_at":"2020-01-21T20:22:10Z","title":"Block-wise Scrambled Image Recognition Using Adaptation Network","version":1},"cited_work":{"arxiv_id":"2001.07761","doi":null,"metadata_source":"pith","pith_arxiv_id":"2001.07761","snapshot_observed_at":"2026-08-10T14:25:02.647799Z","title":"Block-wise Scrambled Image Recognition Using Adaptation Network","venue":"cs.CV","work_id":"0c5df0f2-2160-4aaf-85ea-d06026d924d3","year":2020},"citing_paper":{"arxiv_id":"2501.15363","last_updated":"2025-01-26T02:03:19Z","snapshot_observed_at":"2026-08-13T19:57:13.962358Z","submitted_at":"2025-01-26T02:03:19Z","title":"AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T14:25:02.498886Z"},"links":{"cited_paper":"/paper/2001.07761","citing_paper":"/paper/2501.15363"},"observation_digest":"sha256:be8d6cf279ea9fb8a9a6ec1c4f1265d4d974234ece40c9613b496218ad635047","observation_id":"bfb5390a-372f-480c-be8a-158efe9568a2","resolution":{"observed_at":"2026-08-10T14:25:02.654973Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T14:25:02.923535Z","title":"Hensel’s compression- based dimensionality reduction approach for privacy protection in federated learning,","venue":null,"work_id":"0e05b1b1-80de-4ea5-8797-69f5ca00b14e","year":2023},"citing_paper":{"arxiv_id":"2501.15363","last_updated":"2025-01-26T02:03:19Z","snapshot_observed_at":"2026-08-13T19:57:13.962358Z","submitted_at":"2025-01-26T02:03:19Z","title":"AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T14:25:02.503898Z"},"links":{"citing_paper":"/paper/2501.15363"},"observation_digest":"sha256:2948e16675912f3833fbe951a3c7fb13cee89b0c340f42c815bf9c86104b88f7","observation_id":"00780eca-4235-4387-a593-399d582f146e","resolution":{"observed_at":"2026-08-10T14:25:02.928723Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T14:25:02.907267Z","title":"Research on privacy protection scheme for educational data based on blockchain,","venue":null,"work_id":"32e8886a-f4cc-47d6-8fe4-4dc11ec8a152","year":2023},"citing_paper":{"arxiv_id":"2501.15363","last_updated":"2025-01-26T02:03:19Z","snapshot_observed_at":"2026-08-13T19:57:13.962358Z","submitted_at":"2025-01-26T02:03:19Z","title":"AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T14:25:02.508794Z"},"links":{"citing_paper":"/paper/2501.15363"},"observation_digest":"sha256:f46d1c0adf34dfa011daae2a94f3812814fbd5b254cdca7caf895cc7a39794d0","observation_id":"4dfc7a26-7974-49ea-8d4d-d0e4a4953ee3","resolution":{"observed_at":"2026-08-10T14:25:02.912450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T14:25:02.890841Z","title":"Health information privacy","venue":null,"work_id":"d6036e7e-252a-4b9a-bd05-cb4f82815738","year":2024},"citing_paper":{"arxiv_id":"2501.15363","last_updated":"2025-01-26T02:03:19Z","snapshot_observed_at":"2026-08-13T19:57:13.962358Z","submitted_at":"2025-01-26T02:03:19Z","title":"AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T14:25:02.514033Z"},"links":{"citing_paper":"/paper/2501.15363"},"observation_digest":"sha256:d178ab30171a1b6b4386e8e614bc4a4950d8dfa3245e1ca1b9932fc987fbfcb6","observation_id":"2c13e720-9466-4e6e-96aa-92c69fb2edb0","resolution":{"observed_at":"2026-08-10T14:25:02.895939Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T14:25:02.874217Z","title":"Individuals’ right under hipaa to access their health infor- mation","venue":null,"work_id":"9d3a3711-5ca0-482f-a97f-9b24f64176ad","year":2020},"citing_paper":{"arxiv_id":"2501.15363","last_updated":"2025-01-26T02:03:19Z","snapshot_observed_at":"2026-08-13T19:57:13.962358Z","submitted_at":"2025-01-26T02:03:19Z","title":"AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T14:25:02.519662Z"},"links":{"citing_paper":"/paper/2501.15363"},"observation_digest":"sha256:7e986eb5f3605306942f6db8ff68356641d266d20c3f512acd5649ebbf7e332b","observation_id":"a86577e3-5255-47be-be73-a19cc7ff8d76","resolution":{"observed_at":"2026-08-10T14:25:02.879428Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T14:25:02.856444Z","title":"Block-wise encryption for reliable vision transformer models,","venue":null,"work_id":"f42c177b-945b-4f5a-b4b0-7fc90befadfe","year":2023},"citing_paper":{"arxiv_id":"2501.15363","last_updated":"2025-01-26T02:03:19Z","snapshot_observed_at":"2026-08-13T19:57:13.962358Z","submitted_at":"2025-01-26T02:03:19Z","title":"AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T14:25:02.526816Z"},"links":{"citing_paper":"/paper/2501.15363"},"observation_digest":"sha256:8ff8ec2765057ea37018c98d6870eb93347411b3f4c5bd0846f180f22d8a1f76","observation_id":"f3f1c44a-3f79-49a1-86f5-538788281914","resolution":{"observed_at":"2026-08-10T14:25:02.862707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T14:25:02.838059Z","title":"Privacy- preserving deep learning with learnable image encryption on medical images,","venue":null,"work_id":"f9aa8e6e-ba22-45db-930a-250ffd462cf0","year":2022},"citing_paper":{"arxiv_id":"2501.15363","last_updated":"2025-01-26T02:03:19Z","snapshot_observed_at":"2026-08-13T19:57:13.962358Z","submitted_at":"2025-01-26T02:03:19Z","title":"AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T14:25:02.531949Z"},"links":{"citing_paper":"/paper/2501.15363"},"observation_digest":"sha256:d77d1b60ac0df17e4f91699543bea08d0b2730664b685ff0b29547cb20f051ff","observation_id":"cc76e87b-39ee-4f5b-a4ee-834079e65e8a","resolution":{"observed_at":"2026-08-10T14:25:02.844301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T14:25:02.819744Z","title":"Federated learning techniques for 5g mobile networks,","venue":null,"work_id":"6b2e9adf-472f-4337-a2a3-a4b6b30bcc0e","year":2022},"citing_paper":{"arxiv_id":"2501.15363","last_updated":"2025-01-26T02:03:19Z","snapshot_observed_at":"2026-08-13T19:57:13.962358Z","submitted_at":"2025-01-26T02:03:19Z","title":"AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T14:25:02.537261Z"},"links":{"citing_paper":"/paper/2501.15363"},"observation_digest":"sha256:d6865691163efd7970550c31424126dd044438e3067eb5a89742e4b59f42f64e","observation_id":"aaa53bcc-f71b-4aa3-973c-6cde1577dd67","resolution":{"observed_at":"2026-08-10T14:25:02.825729Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T14:25:02.801803Z","title":"5 growth: Secure and reliable network slicing for verticals,","venue":null,"work_id":"a0e0414e-9dce-4170-befb-5de13bc8143d","year":2021},"citing_paper":{"arxiv_id":"2501.15363","last_updated":"2025-01-26T02:03:19Z","snapshot_observed_at":"2026-08-13T19:57:13.962358Z","submitted_at":"2025-01-26T02:03:19Z","title":"AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T14:25:02.542192Z"},"links":{"citing_paper":"/paper/2501.15363"},"observation_digest":"sha256:4f36c9bfc5d616b0346f7c56b96208855bc04f8278ee16b9c6d446d5ad7aa07b","observation_id":"e1b1e3d3-5572-4fe8-b9fa-a564813afeb7","resolution":{"observed_at":"2026-08-10T14:25:02.807110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T14:25:02.783597Z","title":"The protection of data sharing for privacy in financial vision,","venue":null,"work_id":"ebbccdb4-a958-4bab-991a-2cfa4055cf6f","year":2022},"citing_paper":{"arxiv_id":"2501.15363","last_updated":"2025-01-26T02:03:19Z","snapshot_observed_at":"2026-08-13T19:57:13.962358Z","submitted_at":"2025-01-26T02:03:19Z","title":"AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T14:25:02.547143Z"},"links":{"citing_paper":"/paper/2501.15363"},"observation_digest":"sha256:3f6bf2509665c10dfa30a68b9c37619a29a3cae85043316c1ced127c6932d780","observation_id":"a5ff6955-ca18-43e4-80c5-4f7ee3be4116","resolution":{"observed_at":"2026-08-10T14:25:02.789147Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T14:25:02.765161Z","title":"A privacy-preserving data sharing solution for mobile healthcare,","venue":null,"work_id":"a4521261-1ca4-4ec4-b49e-3fdfa1e426bc","year":2017},"citing_paper":{"arxiv_id":"2501.15363","last_updated":"2025-01-26T02:03:19Z","snapshot_observed_at":"2026-08-13T19:57:13.962358Z","submitted_at":"2025-01-26T02:03:19Z","title":"AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T14:25:02.552148Z"},"links":{"citing_paper":"/paper/2501.15363"},"observation_digest":"sha256:239bcce1ccbf1798d51bd637c11fefc8a502def4528036ef4c790d1eba3941b0","observation_id":"70d4918a-9fb8-4495-bb77-9486edfcd7fe","resolution":{"observed_at":"2026-08-10T14:25:02.770281Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T14:25:02.747672Z","title":"A global medical data security and privacy preserving standards identification framework for electronic healthcare consumers,","venue":null,"work_id":"b3357b31-76c7-4950-8554-c85adcde0099","year":2024},"citing_paper":{"arxiv_id":"2501.15363","last_updated":"2025-01-26T02:03:19Z","snapshot_observed_at":"2026-08-13T19:57:13.962358Z","submitted_at":"2025-01-26T02:03:19Z","title":"AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T14:25:02.557452Z"},"links":{"citing_paper":"/paper/2501.15363"},"observation_digest":"sha256:f8bf50889d552d02d5a439c79a2b47de0e03e777d589341112db0d63784b4114","observation_id":"a00ea24b-9657-457c-a01f-4a4bc61efdd7","resolution":{"observed_at":"2026-08-10T14:25:02.753133Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T14:25:02.562209Z","title":"Secure and robust machine learning for healthcare: A survey,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.15363","last_updated":"2025-01-26T02:03:19Z","snapshot_observed_at":"2026-08-13T19:57:13.962358Z","submitted_at":"2025-01-26T02:03:19Z","title":"AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T14:25:02.562209Z"},"links":{"citing_paper":"/paper/2501.15363"},"observation_digest":"sha256:65b6cd8090e4ba9950c99ea03c0ea7cade35bff33c895840676a22df3cc87b25","observation_id":"b8723aff-e024-4bc1-b3a5-416c4dc105eb","resolution":{"observed_at":"2026-08-10T14:25:02.562209Z","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":"2026-08-10T14:25:02.720017Z","title":"Block-wise scram- bled image recognition using adaptation network,","venue":null,"work_id":"511cb4dc-a537-4a35-a450-061bf763ec8f","year":2020},"citing_paper":{"arxiv_id":"2501.15363","last_updated":"2025-01-26T02:03:19Z","snapshot_observed_at":"2026-08-13T19:57:13.962358Z","submitted_at":"2025-01-26T02:03:19Z","title":"AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T14:25:02.567582Z"},"links":{"citing_paper":"/paper/2501.15363"},"observation_digest":"sha256:73918baacac8df5c4ef5d5ae8bc10094982ff396f57aa08c57106a9a4960dde3","observation_id":"a076c08e-c25f-42b4-8531-0faa7b1a5beb","resolution":{"observed_at":"2026-08-10T14:25:02.725268Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T14:25:02.703187Z","title":"Privacy- preserving deep neural networks with pixel-based image encryption considering data augmentation in the encrypted domain,","venue":null,"work_id":"ac878e6c-bde4-4ba3-9c0d-af048fa796d5","year":2019},"citing_paper":{"arxiv_id":"2501.15363","last_updated":"2025-01-26T02:03:19Z","snapshot_observed_at":"2026-08-13T19:57:13.962358Z","submitted_at":"2025-01-26T02:03:19Z","title":"AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T14:25:02.572338Z"},"links":{"citing_paper":"/paper/2501.15363"},"observation_digest":"sha256:9a157e8e656c900f49f3c2cc8161f4f9a6aa0274166a4a9bd333b82537e4b2e6","observation_id":"83d71d00-bb6c-4154-92cc-5de8d1c629ea","resolution":{"observed_at":"2026-08-10T14:25:02.708534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-16T09:25:53.087782Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-10T14:25:02.577181Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2501.15363","last_updated":"2025-01-26T02:03:19Z","snapshot_observed_at":"2026-08-13T19:57:13.962358Z","submitted_at":"2025-01-26T02:03:19Z","title":"AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T14:25:02.577181Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2501.15363"},"observation_digest":"sha256:f0f457df01040c0db61bb9b450c4effba19483b69ea3f755e541d860f38a9d97","observation_id":"2742f10d-5b74-4397-acdf-9aa73f5ace62","resolution":{"observed_at":"2026-08-10T14:25:02.577181Z","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":"2026-08-10T14:25:02.685759Z","title":"Lung and colon cancer histopathological im- ages","venue":null,"work_id":"09641035-456e-4da2-8f1b-43bc7e5f1d74","year":2019},"citing_paper":{"arxiv_id":"2501.15363","last_updated":"2025-01-26T02:03:19Z","snapshot_observed_at":"2026-08-13T19:57:13.962358Z","submitted_at":"2025-01-26T02:03:19Z","title":"AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T14:25:02.582054Z"},"links":{"citing_paper":"/paper/2501.15363"},"observation_digest":"sha256:650d2977a8090ae91eee2642c5ca4f04d580e3531a5607f83fc69f3f124ec71b","observation_id":"f23207b7-e3d3-4d4b-82ef-8854026613e3","resolution":{"observed_at":"2026-08-10T14:25:02.691205Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T14:25:02.667485Z","title":"Brain tumor mri dataset,","venue":null,"work_id":"04000d36-2d47-4e29-99c3-3bd7f320cd75","year":2021},"citing_paper":{"arxiv_id":"2501.15363","last_updated":"2025-01-26T02:03:19Z","snapshot_observed_at":"2026-08-13T19:57:13.962358Z","submitted_at":"2025-01-26T02:03:19Z","title":"AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T14:25:02.587309Z"},"links":{"citing_paper":"/paper/2501.15363"},"observation_digest":"sha256:5b48b91ee7d24948a8d06c47074381db84206310f47ee61f3ad5a41af533f506","observation_id":"8f9d9d60-bac7-483b-b783-4e0a91df5df9","resolution":{"observed_at":"2026-08-10T14:25:02.673570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.15363","last_updated":"2025-01-26T02:03:19Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-13T19:57:13.962358Z","submitted_at":"2025-01-26T02:03:19Z","title":"AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":1,"verified_fuzzy":17},"total_outbound_references":20},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2501.15363."}