{"as_of":"2026-08-09T00:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4f527815b60203f4da6e8ebfd77a586cd07238d8bcf9c275deabf48b01fa19ec","coverage":[{"denominator":97,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":97,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T22:15:41.134392Z","state":"measured"},{"denominator":97,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":97,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2508.07505/citation-record","integrity":"/paper/2508.07505/integrity","json":"/paper/2508.07505/citation-record.json","paper":"/paper/2508.07505"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:15:40.782566Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.782566Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:ba1aea3a8888e3bf279ecba1a93cec45f85a54991edf840f8cb880aa661d2124","observation_id":"97caa5c3-b822-4b63-b2cf-6542f1297de5","resolution":{"observed_at":"2026-08-05T22:15:40.782566Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:15:40.787324Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.787324Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:a25b353bf7e9ff9517ca5dec0cd77255bfeeba37f80f32af584eaff6b939d4d3","observation_id":"56e49d35-a8a2-48ea-97a6-bbef155eeb3f","resolution":{"observed_at":"2026-08-05T22:15:40.787324Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:15:40.790774Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.790774Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:3c7de05fe013231deef0b5c0990d0ae2507117fd2f9aee30bec9d7aa86e65e4d","observation_id":"d27c8f61-41e1-4dd6-bff1-a612149b8167","resolution":{"observed_at":"2026-08-05T22:15:40.790774Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:15:40.794918Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.794918Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:bb572fd50804fbd7a85d5e9ba3ee30f95b067456aad839293dd477397598c740","observation_id":"0a748e33-fe16-4fd6-82bf-39a3369e48b4","resolution":{"observed_at":"2026-08-05T22:15:40.794918Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:15:40.798040Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.798040Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:fe9c2aca53ac7d903b8124fcb77bbef824f953b27e2c4a76a76540521eb7a336","observation_id":"4f8cb829-dfcd-454f-a46c-64449421f0bf","resolution":{"observed_at":"2026-08-05T22:15:40.798040Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:15:40.801265Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.801265Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:9e877bed362ca4ac09002ec31cc05765bfa3d1ae6e92737aaff07e2c1b654543","observation_id":"3f5bed92-499e-4abd-ba0d-84b7e9e47441","resolution":{"observed_at":"2026-08-05T22:15:40.801265Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:15:40.805949Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.805949Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:b68fa0a694e76301c322492393f7d298d1596f53a0fa69259aebc2a8e6aadb5b","observation_id":"59164aba-475b-4c2c-9650-73b3453b7048","resolution":{"observed_at":"2026-08-05T22:15:40.805949Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:15:40.808973Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.808973Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:49a28f89a3f567f39bb74eb455b2a5990f18f33b58424a99cd46496245f52fe3","observation_id":"ae274746-212e-449a-8f46-04741f1650bf","resolution":{"observed_at":"2026-08-05T22:15:40.808973Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:15:40.813031Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.813031Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:8362364df044306bd9b73fd07111b850a44e1078106f64855c4f073ec9fc02e0","observation_id":"45a4811e-26ae-401d-9ab7-26983294e08b","resolution":{"observed_at":"2026-08-05T22:15:40.813031Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:15:40.817295Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.817295Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:7f915a2f96fdc96a35813bc3d753640a8db9afbd0db22b26ec2487913cb47d03","observation_id":"f0956243-9bdf-49ec-a000-6bbf62226c1f","resolution":{"observed_at":"2026-08-05T22:15:40.817295Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:15:40.821202Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.821202Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:a1e27165c4719780011a17fa987a5e6a6dd94765705a7be07d577c6b273736bc","observation_id":"48ad432d-3bd4-4d3d-9cf6-b7d3b7221d37","resolution":{"observed_at":"2026-08-05T22:15:40.821202Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:15:40.824736Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.824736Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:837afafdc810652e564630e5faaa55c4ad916f76a83b437bfdb850f4146cf3c6","observation_id":"9025d0a5-a011-4d06-8559-ceba2a4c96a0","resolution":{"observed_at":"2026-08-05T22:15:40.824736Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:15:40.828916Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.828916Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:10c47db12d53f7ec39bd4adc694427124c1fe00714f3eeabcbde95f65939d33d","observation_id":"0d7d45d3-45a4-4c3f-bbc3-1cab05c4a751","resolution":{"observed_at":"2026-08-05T22:15:40.828916Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:15:40.832627Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.832627Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:d2655dab2317ace2ab7a3a1dfe06a226441386dcb703f2b8f56a156d854a371f","observation_id":"6fb72b9a-7cfd-4cfa-be7f-6d4f7de004eb","resolution":{"observed_at":"2026-08-05T22:15:40.832627Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:15:40.836514Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.836514Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:27f06a92c9eac6fada9abc5a538f429c9f31e31cab2ba83f6f8145951bceb492","observation_id":"b10ca3cf-868a-47e0-bfe7-98b91595a9fd","resolution":{"observed_at":"2026-08-05T22:15:40.836514Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:15:40.839427Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.839427Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:d32c3c04d21a3d4d7701db315a04fc23a58d902dd7b43b0da1ee8e8f95bd959a","observation_id":"ad566ac3-44a3-47c5-b3a7-762c0e25a0b0","resolution":{"observed_at":"2026-08-05T22:15:40.839427Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:15:40.842736Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.842736Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:164b82a1bbc1a2eb69f0553f12aa908f724d43bfe04a4c33205a0fa30de18b6f","observation_id":"ea9cc542-725c-4b55-8ca0-917c7b706587","resolution":{"observed_at":"2026-08-05T22:15:40.842736Z","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":"2026-08-05T22:15:42.045263Z","title":null,"venue":null,"work_id":"41b47e98-8b29-44aa-b752-6959b5926b41","year":2022},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.845912Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:f5d841376d85bd64be644ccf448ff3f8414876e77c9a8e3df93a304d2feaeb23","observation_id":"778d412a-d384-4750-a715-5c3811d395ed","resolution":{"observed_at":"2026-08-05T22:15:42.048309Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:40.848879Z","title":null,"venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.848879Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:a8cb3f4ddf9a1653cd9290b4844a58e813f4794399705250af22da52c0449eec","observation_id":"462edae2-04f4-4494-99ab-1ab67d38983b","resolution":{"observed_at":"2026-08-05T22:15:40.848879Z","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":"2026-08-05T22:15:42.028530Z","title":"Dwork and A","venue":null,"work_id":"cf927c79-bb43-4eef-9654-1894bf82cfcf","year":2014},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.851807Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:994848aed67dbae3f103962b389a44646ec40a448044bf076ae24e2ab43a14e6","observation_id":"5734b973-3b1f-4b3f-b250-b02af874993d","resolution":{"observed_at":"2026-08-05T22:15:42.031871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:42.017447Z","title":null,"venue":null,"work_id":"4e19e8b9-894f-4f2b-b7a1-1b4529a76315","year":2018},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.856848Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:37fb14548e06be8e3bce5dfe9ea0da9c322bb3e2c72c175762d9f8c35f4e580c","observation_id":"ec0b6474-b536-4484-89c3-af95f1779534","resolution":{"observed_at":"2026-08-05T22:15:42.021163Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:42.005174Z","title":null,"venue":null,"work_id":"93b14d19-1884-4dc0-ad8e-b8cb66ce3dbc","year":2020},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.861161Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:7f3a28ca50e9c212fb39e5bd96fe40ba6ec63f49c779c5f0b4ffb78e828593bb","observation_id":"07847328-c7a9-4896-b0dc-ec4bf93fe291","resolution":{"observed_at":"2026-08-05T22:15:42.009183Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.994249Z","title":null,"venue":null,"work_id":"9c8b96a2-ba54-4009-a3d6-e6021213cbe8","year":2024},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.865264Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:d00f06746d463c7016878e0da3aaad63e5f4217ca889a739b3ca3c7e3c6f533d","observation_id":"ae066675-4241-4000-a2a2-277ce1212a3d","resolution":{"observed_at":"2026-08-05T22:15:41.997733Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.981714Z","title":null,"venue":null,"work_id":"2e8ba048-502d-493a-9f7a-fe6c1bc0bae5","year":2022},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.868843Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:f4263cf07abd12b6c4365a1a978fd78923ca0856ded7841d431a12545c417128","observation_id":"5904e869-135b-4648-93b9-03ac080c57db","resolution":{"observed_at":"2026-08-05T22:15:41.986047Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.02724","last_updated":"2024-06-11T12:58:28Z","snapshot_observed_at":"2026-07-06T14:27:11.110873Z","submitted_at":"2022-12-06T03:25:44Z","title":"Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.02724","snapshot_observed_at":"2026-08-05T22:15:40.872656Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.872656Z"},"links":{"cited_paper":"/paper/2212.02724","citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:328c26429f3ce5c6d429ba1a86efb2c2b785f5906664a897ffa7d9c6c3d396db","observation_id":"fba57202-85dd-4b98-9254-2d220a8edd96","resolution":{"observed_at":"2026-08-05T22:15:40.872656Z","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":"2026-08-05T22:15:41.968867Z","title":null,"venue":null,"work_id":"ad587c2b-79f4-4b51-a9db-40a83dfb9d7a","year":2024},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.876724Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:95a4d014258c6674b9cc6f9ba1c419ce7ef3a273a7d3674a6e297255bbbc0041","observation_id":"1257cb5b-21cf-4b99-8d52-56559062781f","resolution":{"observed_at":"2026-08-05T22:15:41.973087Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.958023Z","title":null,"venue":null,"work_id":"1ba87813-934e-4f5c-9cdd-ab15b9b87ab7","year":2006},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.880592Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:7323a893f0dbfb7a8d638e9aad28fad04a205c4e105d9828da68648c8b144dae","observation_id":"715f2905-6410-47e6-b513-1a963ea825b5","resolution":{"observed_at":"2026-08-05T22:15:41.961302Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2403.02912","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:15:41.383439Z","title":null,"venue":null,"work_id":"2d9f9c0c-e5cc-4e71-86a7-0a2a964af3b0","year":2024},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.883835Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:402933abad3a2c1e934f51bca7001fcb2b84223d76035cab3b1ea6032cdc030a","observation_id":"24849e1a-c815-4fb6-9fce-850909c3695a","resolution":{"observed_at":"2026-08-05T22:15:41.388732Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:40.886785Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.886785Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:868376813b11e014f75b5871fda055e4ac65ee3b8c62712eba99ee3302a998d8","observation_id":"5a192ba3-3457-40b0-bc66-6597f3365148","resolution":{"observed_at":"2026-08-05T22:15:40.886785Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:15:40.889648Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.889648Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:db16d9dcc5296b454a8ede836f4a5a96ce77fa3448c075efcc8cbafca60decfe","observation_id":"407e8542-7a24-46be-a85e-dac445a48391","resolution":{"observed_at":"2026-08-05T22:15:40.889648Z","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":"2026-08-05T22:15:41.937792Z","title":null,"venue":null,"work_id":"4ff7686b-747d-4a6c-a138-64d607b2eff4","year":null},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.893027Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:399551c899c9856ec5cfa9a6a8d7b1e1994da52227389d8d27e2745c2ea9337e","observation_id":"0606b2cf-6208-4bf2-8e21-18738facaa65","resolution":{"observed_at":"2026-08-05T22:15:41.940961Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.914888Z","title":null,"venue":null,"work_id":"efd5dfa5-51ff-45a3-b5f9-5ee6e1bd2e3a","year":null},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.899551Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:86ebdb54ad06467f431bbd72f16521ab1e12fb713fb2ad6812956677335f2d8c","observation_id":"426e6f80-0915-4e22-84e9-dd3ff79e6a01","resolution":{"observed_at":"2026-08-05T22:15:41.918926Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.05539","last_updated":"2024-09-09T11:59:42Z","snapshot_observed_at":"2026-07-06T19:12:27.820454Z","submitted_at":"2024-09-09T11:59:42Z","title":"CoBo: Collaborative Learning via Bilevel Optimization","version":1},"cited_work":{"arxiv_id":"2409.05539","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.05539","snapshot_observed_at":"2026-08-05T22:15:41.287600Z","title":"CoBo: Collaborative Learning via Bilevel Optimization","venue":"cs.LG","work_id":"8a19d26d-26a8-40e4-a815-ca9f7b66b058","year":2024},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.907527Z"},"links":{"cited_paper":"/paper/2409.05539","citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:3e1848a3c1d842966cb48392886c242d3e611bb783e93ddcf789f0a4b91985f9","observation_id":"a079a7ac-4ab9-4c7c-90e1-972af3a81ce9","resolution":{"observed_at":"2026-08-05T22:15:41.291923Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.904311Z","title":null,"venue":null,"work_id":"d0405849-2c11-4cb0-af6f-ac72874d0785","year":null},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.911142Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:db272f0f028bb9dfaaa914e69f87d4beb00e0e7c63637735fdd001233dfc91dc","observation_id":"37ebe171-8063-49f4-8b3b-a9862fe4e69d","resolution":{"observed_at":"2026-08-05T22:15:41.907963Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.893979Z","title":null,"venue":null,"work_id":"52dd798e-4449-4a0b-a7f3-8de13cc020de","year":null},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.919368Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:d87be79389191bc4597f75bc88171825465295e4e81122d72c33b59a16b4013f","observation_id":"5b89d2c3-e692-4ce9-8824-ac60ae9b0eb4","resolution":{"observed_at":"2026-08-05T22:15:41.897320Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:40.926656Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.926656Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:614c3f31ba8e7b8dfbcc81a4ec0f3511a38e3fda0b43b2914a06cd635efeb087","observation_id":"de95f092-601e-414b-8dcf-f1c4ea37418e","resolution":{"observed_at":"2026-08-05T22:15:40.926656Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.10902","last_updated":"2023-04-21T11:38:41Z","snapshot_observed_at":"2026-07-06T15:18:18.845864Z","submitted_at":"2023-04-21T11:38:41Z","title":"Near-Optimal Decentralized Momentum Method for Nonconvex-PL Minimax Problems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.10902","snapshot_observed_at":"2026-08-05T22:15:40.931191Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.931191Z"},"links":{"cited_paper":"/paper/2304.10902","citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:c8b1d1b5f67da45ab33442bc99323e9baa3501d391bd5f023f2a1aec97548b14","observation_id":"2f36e60c-4a4c-4307-b287-dbfdb857a051","resolution":{"observed_at":"2026-08-05T22:15:40.931191Z","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":"2026-08-05T22:15:41.866099Z","title":null,"venue":null,"work_id":"74f9cc13-8263-41e7-8e5c-b51e9fb38473","year":2021},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.934957Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:28c001530eb8ea6ac70f94c3d3f55b7efa3fd559fe6507e9fd41378a5351b5b3","observation_id":"674eeac6-5f5a-4519-ba96-25218fc6e10f","resolution":{"observed_at":"2026-08-05T22:15:41.870041Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.04858","last_updated":"2022-04-22T07:10:53Z","snapshot_observed_at":"2026-07-06T12:58:49.797086Z","submitted_at":"2022-04-11T03:59:16Z","title":"Stability and Generalization of Differentially Private Minimax Problems","version":2},"cited_work":{"arxiv_id":"2204.04858","doi":null,"metadata_source":"pith","pith_arxiv_id":"2204.04858","snapshot_observed_at":"2026-08-05T22:15:41.255401Z","title":"Stability and Generalization of Differentially Private Minimax Problems","venue":"cs.LG","work_id":"7e146e10-2e38-483c-a206-5c52c175a731","year":2022},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.938516Z"},"links":{"cited_paper":"/paper/2204.04858","citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:47518ace7a606e9ebb5ff1f2cc189d0854303c80788ef98b786e69cbae87b2fd","observation_id":"a2d144f4-7052-47c6-97d4-bf7aa7006c5b","resolution":{"observed_at":"2026-08-05T22:15:41.259143Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2008.03606","last_updated":"2021-06-08T08:14:57Z","snapshot_observed_at":"2026-08-06T06:23:51.750062Z","submitted_at":"2020-08-08T21:55:07Z","title":"Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.03606","snapshot_observed_at":"2026-08-05T22:15:40.941871Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.941871Z"},"links":{"cited_paper":"/paper/2008.03606","citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:adb76540c9e89cbe5ecc111eba3154e7d1dc3093960985814a214cec95733377","observation_id":"fe769f28-10b0-4585-b1af-54cddb612445","resolution":{"observed_at":"2026-08-05T22:15:40.941871Z","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":"2026-08-05T22:15:41.855355Z","title":null,"venue":null,"work_id":"1c1b3a45-3465-49fd-8b77-e9a841860927","year":2021},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.945635Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:c20add6ddf1e8f40174dbf34b8e5067a0404a4be3680161662c6e22ade5616ee","observation_id":"56a61cb5-157c-4a7e-926a-17e83a687607","resolution":{"observed_at":"2026-08-05T22:15:41.858812Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.844135Z","title":null,"venue":null,"work_id":"760f4859-9554-4b3e-a941-03ae8f635371","year":2021},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.949334Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:09d5a97d971db1ae5a8ff7be18a85dde3e1938229abef6a8e961558653469f0e","observation_id":"0f507159-6ac2-4903-9982-23fa0fe85ee5","resolution":{"observed_at":"2026-08-05T22:15:41.847454Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.12186","last_updated":"2024-10-02T16:58:37Z","snapshot_observed_at":"2026-07-06T19:04:26.917233Z","submitted_at":"2024-08-22T08:02:10Z","title":"Transformers are Minimax Optimal Nonparametric In-Context Learners","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.12186","snapshot_observed_at":"2026-08-05T22:15:40.952427Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.952427Z"},"links":{"cited_paper":"/paper/2408.12186","citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:e7b9a015b6ce3b3693e0563a1d758fdd086780b08f855d3f395f167f4bdca7ec","observation_id":"c1528cc6-4e23-45ab-b3f9-75c6d57ea647","resolution":{"observed_at":"2026-08-05T22:15:40.952427Z","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":"2026-08-05T22:15:41.833361Z","title":null,"venue":null,"work_id":"b5927ad3-7976-4dd8-b06a-9d71ec4d737c","year":2015},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.956499Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:25d9c80e33f2607f61dbe865d82a01c7acb94ff189332deac5bf5f456dac6168","observation_id":"b2284bfd-1b15-4175-ac91-283a0fed5cad","resolution":{"observed_at":"2026-08-05T22:15:41.837277Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:40.960050Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.960050Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:946b5fd7d9a1396167b931ddf3a312c654e2df09b13b4067485d8aec5b875e51","observation_id":"cffe1729-a597-45ab-923b-1910f0c40d17","resolution":{"observed_at":"2026-08-05T22:15:40.960050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1802.01746","last_updated":"2018-02-06T00:51:15Z","snapshot_observed_at":"2026-07-06T06:21:53.919801Z","submitted_at":"2018-02-06T00:51:15Z","title":"ModelChain: Decentralized Privacy-Preserving Healthcare Predictive Modeling Framework on Private Blockchain Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.01746","snapshot_observed_at":"2026-08-05T22:15:40.963370Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.963370Z"},"links":{"cited_paper":"/paper/1802.01746","citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:9a8cea71642e3333a19f9b2b9c131e12b924e5fee3f6daaa495a2be3a2b88eb8","observation_id":"1d1b9568-b322-4250-b34a-51033a87bb24","resolution":{"observed_at":"2026-08-05T22:15:40.963370Z","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":"2026-08-05T22:15:41.816191Z","title":null,"venue":null,"work_id":"717baf3b-b19a-462d-8ee9-2a283ce15f98","year":2024},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.966803Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:461f9434243cb367a232a8ab5aa37f1010937d6f33b721b506112736ce6067df","observation_id":"b6c959e1-670e-4750-ad4f-d8adae003391","resolution":{"observed_at":"2026-08-05T22:15:41.820007Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:40.970002Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.970002Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:c9381f1020dc7ec91f22ebef37f3c0c88bd9a8809d4bfe1cb3c7089fd1ed0d8c","observation_id":"6c445e85-8525-45b0-9f89-591b0ff63935","resolution":{"observed_at":"2026-08-05T22:15:40.970002Z","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":"2026-08-05T22:15:41.791212Z","title":null,"venue":null,"work_id":"acd26ef6-971e-4d66-b15c-012d86939a3a","year":2020},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.977600Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:370cc08121a58a23e1f596a2ea658779747376042ef763f2ffbcb4afddd09443","observation_id":"ca509c95-646e-4a19-9bbc-f82d04ea2f5c","resolution":{"observed_at":"2026-08-05T22:15:41.794213Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.782356Z","title":null,"venue":null,"work_id":"7ecc24f6-39d1-4d7d-a7db-bb46a93858eb","year":2020},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.981401Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:a127a52ba9aa7e22d586eb2dcbc0019e0a1d95eba116cd574893476a72d5fe81","observation_id":"f847b6da-f823-4d59-8c8f-5567256d65c3","resolution":{"observed_at":"2026-08-05T22:15:41.785573Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.770348Z","title":null,"venue":null,"work_id":"df3168ad-b4dc-4f9a-8031-9d35cd2bf0b0","year":2022},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.984576Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:0e701faff2c34b8a8a6d2ab6c9d46cb1d0ad70598c75b96c1d7daf61350a2690","observation_id":"6742d820-0896-4b30-bdd1-1ff58881d00e","resolution":{"observed_at":"2026-08-05T22:15:41.775856Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.14380","last_updated":"2019-10-31T11:24:21Z","snapshot_observed_at":"2026-07-06T08:33:43.198398Z","submitted_at":"2019-10-31T11:24:21Z","title":"A Decentralized Proximal Point-type Method for Saddle Point Problems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.14380","snapshot_observed_at":"2026-08-05T22:15:40.988300Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.988300Z"},"links":{"cited_paper":"/paper/1910.14380","citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:e3b4219a435f5b230cef5a5040b93659c5d3252183985bedc78dcc52926a2b94","observation_id":"1834d858-a2b4-400f-b2a6-d1e41b7bb629","resolution":{"observed_at":"2026-08-05T22:15:40.988300Z","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":"2026-08-05T22:15:41.759576Z","title":"Liu and R","venue":null,"work_id":"bb83f8bd-0c51-45e0-bfde-0c377c47b481","year":2021},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.992364Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:09d224747e63e0e5aa27636f94681959d8f61d604fc55d17f49460619b004e5c","observation_id":"8606eebe-57f6-46cd-ad13-4780cc7d91c1","resolution":{"observed_at":"2026-08-05T22:15:41.763118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.749100Z","title":null,"venue":null,"work_id":"2658ed67-73d6-4214-b5bc-b6d02dfd3305","year":2022},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.996814Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:86380516916e752f33a3463365aa2e7f572fdc1bff7724ed47ef3ea2a93852e5","observation_id":"d72932fa-aae3-4a26-b238-3f1b557dfddd","resolution":{"observed_at":"2026-08-05T22:15:41.752845Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.738979Z","title":null,"venue":null,"work_id":"d2e6df4d-85c2-4305-ab27-fed8b16c120b","year":2020},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.000060Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:d8a8426f11174b8ac4416a44a1b69f34ddd06d48336ffb125982e45cc3a3f03e","observation_id":"2e1cce1f-f1f2-43da-a534-70b37bf674d0","resolution":{"observed_at":"2026-08-05T22:15:41.743184Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.726981Z","title":null,"venue":null,"work_id":"2f5d3ad3-1ce4-41e9-8bf3-3e71356eaac3","year":2015},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.003222Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:fbefe51b432cc0d86488a1b7b3c9bdd57758572b09fd37717fb9cf32c8000c5f","observation_id":"82de320a-5eb4-42c3-830f-20551ee25dff","resolution":{"observed_at":"2026-08-05T22:15:41.730949Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.716915Z","title":null,"venue":null,"work_id":"99336b0b-1b59-4c76-bd8e-8f90fb44770c","year":2019},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.006066Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:14a939c2486e6f89a199167582df2f4455d6235d3012d64c2f9cb04e4be80b2b","observation_id":"e5bc09a3-a9d4-41a3-bf51-84e996aba237","resolution":{"observed_at":"2026-08-05T22:15:41.719673Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.706809Z","title":null,"venue":null,"work_id":"1fc5d211-bb38-4cea-9414-e8526139d75d","year":2009},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.008821Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:ac23602f718a6872fd6252ab12089569797f54fa7270fc4efd809a9aae6f7323","observation_id":"af1f5dfa-1c67-437e-b9cd-61977d9b7b8f","resolution":{"observed_at":"2026-08-05T22:15:41.710050Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.695884Z","title":null,"venue":null,"work_id":"42cac9b3-d4f5-4c71-b28f-75e8e776eca6","year":2024},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.011572Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:bc63061c977b6aa5e0efeb2185d1f660644b75b6cbfc5a7ba41f49927ffc45ec","observation_id":"db2240b8-7afa-4e2c-a6fa-fd86067ee05e","resolution":{"observed_at":"2026-08-05T22:15:41.699363Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.686338Z","title":"Poon and G","venue":null,"work_id":"509671cb-6be4-4427-add3-d0826c939fc2","year":2021},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.015185Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:1bf4c72c4e236426b73d6e18e75a16512a010ed30c1da5c52d264589c4e15e94","observation_id":"643f983f-df52-49be-96eb-8ab3aaae9981","resolution":{"observed_at":"2026-08-05T22:15:41.689596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.675500Z","title":"Rajeswaran, C","venue":null,"work_id":"5943a2bf-86c1-43fc-abee-7132f75e2afa","year":2019},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.019391Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:9f50f912a24a141e6bd6e1b77f16ad68f158d5454f56d85bb88467e2050765fd","observation_id":"95317d75-cfb8-402d-ae29-235870e3957a","resolution":{"observed_at":"2026-08-05T22:15:41.678966Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.665436Z","title":null,"venue":null,"work_id":"2a01fa86-09c7-478b-9f85-0b1ec89553bf","year":2022},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.022862Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:259e03de60d0511746e301618cde991b464ff90dcda53e7722621ad6b5bb122e","observation_id":"d6b5349d-c247-4033-babb-85b860934451","resolution":{"observed_at":"2026-08-05T22:15:41.668291Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.651706Z","title":null,"venue":null,"work_id":"ab7f6eb0-7f53-4a6b-a129-65479eb4ad9a","year":null},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.026707Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:58e391c3bf7b1a54e736575e7dbfe7ab6322948294f0134dbb7274d4be76f774","observation_id":"f2addbe0-47ed-4d20-b0e5-0115210b2c1f","resolution":{"observed_at":"2026-08-05T22:15:41.656791Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.01319","last_updated":"2021-03-01T21:37:54Z","snapshot_observed_at":"2026-07-06T10:45:48.672430Z","submitted_at":"2021-03-01T21:37:54Z","title":"Adversarial training in communication constrained federated learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.01319","snapshot_observed_at":"2026-08-05T22:15:41.034861Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.034861Z"},"links":{"cited_paper":"/paper/2103.01319","citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:83c9508b0f06daf6cf67d264b42bbdd097af954ff64244a6b9198e595bbc9b23","observation_id":"c4c4180d-09ea-44e2-bd61-f8e563175426","resolution":{"observed_at":"2026-08-05T22:15:41.034861Z","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":"2026-08-05T22:15:41.640727Z","title":null,"venue":null,"work_id":"0b1612c2-08f7-4d28-bd90-7c3b1c03ba6d","year":2023},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.039547Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:32d5828af4b0a198854f9da064066eb0b9d08a5bbd5a8165453edb04f0867116","observation_id":"04f9aa86-9935-44aa-8cec-f195e8124bc5","resolution":{"observed_at":"2026-08-05T22:15:41.644622Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.630136Z","title":null,"venue":null,"work_id":"6ccfc1b3-7c71-464a-b820-810812c998ea","year":2022},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.043706Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:19a75368231a33017f7193d1d118284ad312e9586d72c2abb785c1c3f6af9673","observation_id":"57310d51-67df-43e1-be21-870434614e94","resolution":{"observed_at":"2026-08-05T22:15:41.633485Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.617834Z","title":null,"venue":null,"work_id":"91850c35-aee3-440e-9054-071386102554","year":null},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.047889Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:13b763d117bbf2657635a22bdbc05e6f8e28a643df2eeb5e4dd426275e07da5e","observation_id":"e0ab2e80-f9d6-40b3-9ba0-c2db2a14cfbb","resolution":{"observed_at":"2026-08-05T22:15:41.622271Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.597399Z","title":null,"venue":null,"work_id":"6f099562-fbe9-43d8-87c1-68008ba3b509","year":2020},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.056365Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:da0c8cf379f4357966c47c7389962d3685c1592cb90d206921084340a8117c8a","observation_id":"718a87f7-7610-4f10-be17-34bbd85c0c26","resolution":{"observed_at":"2026-08-05T22:15:41.600812Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.07261","last_updated":"2025-04-20T19:43:06Z","snapshot_observed_at":"2026-07-06T17:15:18.787162Z","submitted_at":"2024-01-14T11:39:33Z","title":"LookAhead: Preventing DeFi Attacks via Unveiling Adversarial Contracts","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.07261","snapshot_observed_at":"2026-08-05T22:15:41.030596Z","title":"arXiv preprint arXiv:2401.07261 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.030596Z"},"links":{"cited_paper":"/paper/2401.07261","citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:f73e310e14c363b6f721e958d3c125be19609ecece5c86f999cbb030b5c2dd2f","observation_id":"63ba0790-d171-4431-b641-9161324fef1d","resolution":{"observed_at":"2026-08-05T22:15:41.030596Z","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":"2026-08-05T22:15:41.566163Z","title":null,"venue":null,"work_id":"a561795c-42e7-4567-aefb-b1178ff2a250","year":2018},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.066544Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:dfe312f955a6d66633ca10466c037827905e6eb15fb0c9613ed44602344291b2","observation_id":"4a3160ac-5964-4236-8cd6-291779fd9c4e","resolution":{"observed_at":"2026-08-05T22:15:41.569174Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.555296Z","title":null,"venue":null,"work_id":"39cea0d7-b9a6-4757-922f-efb12e1deff1","year":2017},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.070680Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:40ae7c0e721dac25f9df14c5d81a97211ec662e66d06798866d4c3f9e507bb47","observation_id":"2b0c24f4-a478-4175-8569-61f134bfb2c5","resolution":{"observed_at":"2026-08-05T22:15:41.559042Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.545450Z","title":null,"venue":null,"work_id":"fb2318a8-ebcf-4eef-b170-f9a73c1dd887","year":2023},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.075003Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:aa0c61364560244af68023088160b6147a9768e2764294f9d87017aee95f112d","observation_id":"dd3c14a6-deea-403f-93df-94a10b09264e","resolution":{"observed_at":"2026-08-05T22:15:41.549006Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.536168Z","title":null,"venue":null,"work_id":"b9a9719f-2045-411e-b762-26d9b8df87b9","year":2020},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.078915Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:5af465733136e53b0b12be066039add49a636f016fb5fc6db346b5488e414a0a","observation_id":"84ec00d1-c4e4-4a30-8cbd-8ec44822c935","resolution":{"observed_at":"2026-08-05T22:15:41.539254Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.527181Z","title":null,"venue":null,"work_id":"cbaca4fd-dd9f-4b27-a486-989848ebc8eb","year":2021},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.081718Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:47cd19f8cb5524e77f383c90d28873852ab7ed4092bf8229b517207cdbc89c4f","observation_id":"358cf339-b12f-4777-9548-37ac97b91605","resolution":{"observed_at":"2026-08-05T22:15:41.530292Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1708.07747","last_updated":"2017-09-15T21:29:49Z","snapshot_observed_at":"2026-07-06T05:56:41.814255Z","submitted_at":"2017-08-25T14:01:29Z","title":"Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.07747","snapshot_observed_at":"2026-08-05T22:15:41.086100Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.086100Z"},"links":{"cited_paper":"/paper/1708.07747","citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:642ff29f858ee797a53be3c1a07f488e793484ec3000aaaa472a8e1c23f76526","observation_id":"599788ec-145e-451d-a3b4-6822516d4178","resolution":{"observed_at":"2026-08-05T22:15:41.086100Z","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":"2026-08-05T22:15:41.588332Z","title":null,"venue":null,"work_id":"fcce7b65-d623-40ac-8165-7127ff6ff07b","year":null},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.059554Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:9f99db5f13737c92084cc7599573cf468a5b7c5308d21b03b9884c38dcff573a","observation_id":"21d29333-7e51-4b12-8111-d007ef440f1d","resolution":{"observed_at":"2026-08-05T22:15:41.591739Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.506924Z","title":null,"venue":null,"work_id":"8ff2a514-17f6-4414-bb0b-33798970ccb1","year":2024},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.093443Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:cc763a377e57879e107e5cb0a4d7925fb57d38bd41a453d2ac4e2bf641de90bd","observation_id":"6d31b3f4-e66f-47a8-9d17-54e8dbecc8c2","resolution":{"observed_at":"2026-08-05T22:15:41.510301Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.496400Z","title":null,"venue":null,"work_id":"cb58b16d-964f-46e0-a053-60d2b7c5c1ea","year":2019},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.096514Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:85619f54d657c7e0c18a73159e15e4411e6002b843ae89bbecebb36377cbe559","observation_id":"de478c17-a3c3-4cd5-a0d2-d4ba82f7fbe7","resolution":{"observed_at":"2026-08-05T22:15:41.499403Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.486450Z","title":null,"venue":null,"work_id":"3ea06509-7193-4db5-b06f-661253ff9b96","year":2022},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.099973Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:a077137ba80e78ee0e6b89a8a570a74dceb0233223244101db8dcaebde8e817d","observation_id":"c6f20736-b490-4c42-a53e-648d45528db1","resolution":{"observed_at":"2026-08-05T22:15:41.489614Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.475458Z","title":null,"venue":null,"work_id":"32921b68-723f-447a-8d28-cf4d6137af69","year":2022},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.103039Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:247ff606090d0a22ddbec92ae04b7c8ac2f918b40220310cde704dd555b14146","observation_id":"d99a0573-6421-4d6f-9f98-fe64c6cb0e4a","resolution":{"observed_at":"2026-08-05T22:15:41.479783Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.465521Z","title":null,"venue":null,"work_id":"719ede4d-da48-4acd-8f9f-5baa3801e347","year":null},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.106893Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:5063d70afe5ee644119d5a6a231d7211191bcaef01e89b6ad8f5382eb9160f38","observation_id":"4c830aff-e280-4e40-b78c-9f403ff58c3a","resolution":{"observed_at":"2026-08-05T22:15:41.468757Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.442520Z","title":null,"venue":null,"work_id":"5feb667a-d510-4204-93de-fe6324bbcff0","year":2022},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.114152Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:630ea17671ee38bec03cfd8291dfddc80095bb0fbb972938b6d83d173b51f0e3","observation_id":"2ac24cad-ce80-4541-96d0-71d9e405e42c","resolution":{"observed_at":"2026-08-05T22:15:41.446505Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.432238Z","title":null,"venue":null,"work_id":"e3b9972a-9f80-41ae-821b-48f06e7d72b8","year":2021},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.117918Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:cb3c0314dbc69d3ebd97e5789adca1e28c45e7323307907781dec873b5684249","observation_id":"6c7cddfa-1491-40b0-a5d5-66958bafb17d","resolution":{"observed_at":"2026-08-05T22:15:41.436070Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.517168Z","title":null,"venue":null,"work_id":"f09c6306-80e0-4151-8cda-6740a16f9a36","year":2021},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.089312Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:e8f890ffbc60a12a2e58a0ef42077e0d081963806c2f28d1192056743c6ca84b","observation_id":"386534c1-82c9-4f7b-a55f-59aec7e08faa","resolution":{"observed_at":"2026-08-05T22:15:41.520387Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.410317Z","title":null,"venue":null,"work_id":"863bed21-f4f8-422c-b865-272717530c03","year":2023},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.124439Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:97615267ea7308d6a5720ebfb90a70f5008e127cf06fa58ef349d1b453f04f44","observation_id":"46b4f4ce-1654-4828-8da7-87c2869728cf","resolution":{"observed_at":"2026-08-05T22:15:41.414324Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19437","last_updated":"2024-02-29T18:38:20Z","snapshot_observed_at":"2026-08-02T01:15:24.628199Z","submitted_at":"2024-02-29T18:38:20Z","title":"Differentially Private Worst-group Risk Minimization","version":1},"cited_work":{"arxiv_id":"2402.19437","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.19437","snapshot_observed_at":"2026-08-05T22:15:41.178136Z","title":"Differentially Private Worst-group Risk Minimization","venue":"cs.LG","work_id":"8a6e0790-a50c-4dcf-8368-4f52f0288f26","year":2024},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.127384Z"},"links":{"cited_paper":"/paper/2402.19437","citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:a19dd79d5d6bd55cf6f438080348253dd4e5862795a2e6c909f95673d6cc8967","observation_id":"21560e76-5016-4907-93ca-a8e46e6edce2","resolution":{"observed_at":"2026-08-05T22:15:41.182469Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.131042Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.131042Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:15a2199b933879106d3f40a9f102af57a229bf97c8092738bb44bc84c34c9b62","observation_id":"60bce75c-261b-4aae-852e-3ba382af382d","resolution":{"observed_at":"2026-08-05T22:15:41.131042Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.01791","last_updated":"2020-12-03T09:47:47Z","snapshot_observed_at":"2026-08-06T22:52:44.370921Z","submitted_at":"2020-12-03T09:47:47Z","title":"FAT: Federated Adversarial Training","version":1},"cited_work":{"arxiv_id":"2012.01791","doi":null,"metadata_source":"pith","pith_arxiv_id":"2012.01791","snapshot_observed_at":"2026-08-05T22:15:41.161423Z","title":"FAT: Federated Adversarial Training","venue":"cs.LG","work_id":"4ec8ab7a-970e-4b89-9e01-479c6b84eaf6","year":2020},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.134392Z"},"links":{"cited_paper":"/paper/2012.01791","citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:470f80abf863a40257dbd58ba2ad23c67fbebd1a362518763042897c8de1496f","observation_id":"ba126d7e-cf51-407a-8e1b-7d3833bf6417","resolution":{"observed_at":"2026-08-05T22:15:41.166251Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.453117Z","title":"In International Conference on Machine Learning, ICML 2022","venue":null,"work_id":"36969fca-e1a7-4f40-9d69-09550cd0bf04","year":2022},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.110521Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:ea4054c32d54e95741fdf49fd504230de22230136f3f2954da7c3e2709f5dfe3","observation_id":"84ddc917-5813-48c0-b29a-c61536d20349","resolution":{"observed_at":"2026-08-05T22:15:41.457496Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.421934Z","title":null,"venue":null,"work_id":"f09350cb-d6db-4d07-a88a-f9cd179c6ac7","year":2023},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.120971Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:76a7008ab52a9488fa38ddaee11de4a3cf83c0fb9a7b535a3f9a357aecd99b51","observation_id":"e6993ea4-6642-42ee-aaf0-d64f6cf56479","resolution":{"observed_at":"2026-08-05T22:15:41.425726Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.801085Z","title":"InAdvances in Neural Information Processing Systems","venue":null,"work_id":"ce44f524-ae73-4b41-81ec-8bfa9312f306","year":null},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.973392Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:0b834f42aaf1b588572ac635a634268bbef85fefbbca4c3d8589e57a86b94ee4","observation_id":"9815afbf-3a74-42c6-9ba9-60eb875baae3","resolution":{"observed_at":"2026-08-05T22:15:41.804763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.577634Z","title":"Advances in Neural Information Processing Systems 32 (2019)","venue":null,"work_id":"e4b6e90c-ba88-4bfd-8cc4-2eadc773c103","year":2019},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.062592Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:f892f33ae374a70a1345f91d67afca70fdedf98e86d7ba47d099484e5f2fd9c9","observation_id":"827925e0-349d-4e05-b8d8-2c12175d295e","resolution":{"observed_at":"2026-08-05T22:15:41.581245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.607368Z","title":"In Proceedings of the third ACM international workshop on edge systems, analytics and networking","venue":null,"work_id":"be41fc46-0ff8-4e92-a263-c001e143e0ac","year":null},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:41.052305Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:1a518214013e65caaac3104f86f281d886923e401c5b9827778dbccf26bc1621","observation_id":"cb918f00-17cc-4cd9-a71b-1c2959059aea","resolution":{"observed_at":"2026-08-05T22:15:41.610761Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T22:15:41.882725Z","title":"In 2021 IEEE International Conference on Data Mining (ICDM)","venue":null,"work_id":"c8a7633f-8629-4f5c-870f-bb58e1a301c1","year":2021},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.922691Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:bbbde93c52803a655127d44fe226eb32e640f5e505679ae9260b1cec414efdac","observation_id":"514ff137-cc5b-4718-a7ea-d105e8f0c4f4","resolution":{"observed_at":"2026-08-05T22:15:41.887179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.02705","last_updated":"2024-04-12T17:58:52Z","snapshot_observed_at":"2026-08-08T23:34:50.011359Z","submitted_at":"2022-12-06T01:57:33Z","title":"What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.02705","snapshot_observed_at":"2026-08-05T22:15:40.903757Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.903757Z"},"links":{"cited_paper":"/paper/2212.02705","citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:1b4774f291f0f5684e1cb481595701042dcbf16863e782d5e59892bdf1a6c450","observation_id":"239a741c-56a2-447c-aad1-cddd89a35cb1","resolution":{"observed_at":"2026-08-05T22:15:40.903757Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.16212","last_updated":"2023-07-30T12:31:42Z","snapshot_observed_at":"2026-07-06T16:00:20.878025Z","submitted_at":"2023-07-30T12:31:42Z","title":"Robust Multi-Agent Reinforcement Learning with State Uncertainty","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.16212","snapshot_observed_at":"2026-08-05T22:15:40.915042Z","title":"arXiv preprint arXiv:2307.16212 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.915042Z"},"links":{"cited_paper":"/paper/2307.16212","citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:0aae20a0f5fda28a8a1eec2717230e60e496103ef90dfcd685b544a3359c9a23","observation_id":"c3afd110-339c-43dd-a81b-54e36fdfa6a9","resolution":{"observed_at":"2026-08-05T22:15:40.915042Z","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":"2026-08-05T22:15:41.927791Z","title":"IEEE Transactions on Big Data (2024)","venue":null,"work_id":"90c4e33f-421d-4d7c-ae85-b357aec4876d","year":2024},"citing_paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:40.896623Z"},"links":{"citing_paper":"/paper/2508.07505"},"observation_digest":"sha256:d14c871945a9577f3f0e9ccdc884bd918b636dea68a106c75bc9650de383e13e","observation_id":"7548d6e4-5f40-4a1f-a81d-4e200fc0aa5d","resolution":{"observed_at":"2026-08-05T22:15:41.931214Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.07505","last_updated":"2025-08-10T23:24:27Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T23:35:13.106623Z","submitted_at":"2025-08-10T23:24:27Z","title":"Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach"},"reference_resolution":{"displayed":97,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":82,"verified_exact":5,"verified_fuzzy":10},"total_outbound_references":97},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 97 of 97 outbound references and 0 inbound Pith citation observations for arXiv:2508.07505."}