{"as_of":"2026-08-22T23:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0f528559afe95c6fbc20cbe718f21602a487badf5042a24bec754ffbb0521437","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T10:22:24.219276Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-11T01:06:21.633242Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T04:45:58.052155Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"cited_work":{"arxiv_id":"2412.16802","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.16802","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"307b8c20-de9c-425d-a786-fc66f136cfac","year":2024},"citing_paper":{"arxiv_id":"2605.07072","last_updated":"2026-05-08T00:47:11Z","snapshot_observed_at":"2026-08-13T14:30:43.735867Z","submitted_at":"2026-05-08T00:47:11Z","title":"Less Random, More Private: What is the Optimal Subsampling Scheme for DP-SGD?","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-05-11T01:06:21.633242Z"},"links":{"cited_paper":"/paper/2412.16802","citing_paper":"/paper/2605.07072"},"observation_digest":"sha256:16a1eda5808e7f2eaff702887abac87bbab0d23ccfa34addc3a95bccab9fb451","observation_id":"45c9619e-ce74-4c22-a941-95f0b8ad11a7","resolution":{"observed_at":"2026-05-11T04:45:58.056057Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.16802/citation-record","integrity":"/paper/2412.16802/integrity","json":"/paper/2412.16802/citation-record.json","paper":"/paper/2412.16802"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.653837Z","title":"Goodfellow, H","venue":null,"work_id":"0ef74e37-8a89-4717-83a3-9b99b0a645a8","year":2016},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.101117Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:232ecc2a98cfb768124fe0f7d3e1bb540b0cd1fac4453f2c837411defda3ecb2","observation_id":"de820d85-8b7a-449d-b71f-eb3a6cb06aca","resolution":{"observed_at":"2026-08-11T10:22:24.656455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.647021Z","title":"Large-scale differentially private BERT","venue":null,"work_id":"12c56533-c222-48d2-9ad6-ffcf0eb58ff5","year":2022},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.104598Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:efd597c0f7691917f811ec3bd66ff1c4c843fd2f27cc588558a4883e7dedf8ad","observation_id":"d4f84511-cb31-4111-88ba-94b249d8d9fd","resolution":{"observed_at":"2026-08-11T10:22:24.649734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.639200Z","title":"It's our loss: No privacy amplification for hidden state DP-SGD with non-convex loss","venue":null,"work_id":"a3796e96-edd6-4bc5-8d03-d55f5c94c9c6","year":2024},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.107580Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:153ab94d19f58e335ce9a3680be501d55e4b697fccaeb4864b91556f571a4bec","observation_id":"f467dfa9-84cd-4aad-92e8-bcc8c26a4a91","resolution":{"observed_at":"2026-08-11T10:22:24.642115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.110761Z","title":"To shuffle or not to shuffle: Auditing DP-SGD with shuffling","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.110761Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:b2c7e417a546a0fee2d399792aee069d98a931d2eb99d783ef49ad5b2a94365b","observation_id":"e03c1821-88e4-400c-8514-3a559e6711f1","resolution":{"observed_at":"2026-08-11T10:22:24.110761Z","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":"2026-08-11T10:22:24.630770Z","title":"Improving the gaussian mechanism for differential privacy: Analytical calibration and optimal denoising","venue":null,"work_id":"077510d7-9e1f-4e36-908d-21d60ad2c2a4","year":2018},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.113879Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:17f32b863a3fc0aeb976c676b4c20c955945c9e3c678d5f4b201eb996e46bb93","observation_id":"3d29c3b2-ab65-48d3-906f-470822933ae9","resolution":{"observed_at":"2026-08-11T10:22:24.634454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.623666Z","title":"Privacy amplification via random check-ins","venue":null,"work_id":"d00dd2bf-1fd9-4564-ba42-b110e8a549fe","year":2020},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.116967Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:9bbfe326b8ce713483d72eaf5d781b13d776c502756f8df8a88ec66731200279","observation_id":"f613954f-3552-4284-b22b-0b23d520061d","resolution":{"observed_at":"2026-08-11T10:22:24.626337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.616127Z","title":"JAX - P rivacy: Algorithms for privacy-preserving machine learning in JAX , 2022","venue":null,"work_id":"422edc04-f0e0-4f04-9dcd-92908d1515c3","year":2022},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.119792Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:946864e5adbd307ec6a190b7d56ec0f3ab4022e2f3860f108865a30f20bc512b","observation_id":"6cdc6fb0-44b8-4d6f-b205-cbb040fe7175","resolution":{"observed_at":"2026-08-11T10:22:24.619224Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.608876Z","title":"Towards efficient and scalable training of differentially private deep learning","venue":null,"work_id":"f097e793-b256-4952-a16a-86e2dd1bf88b","year":2024},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.122206Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:8b48b5c0b9269c4622feaaa0bb7a9787ee6892299a3fc7c1a51eaace1e01b614","observation_id":"40888820-2613-4032-8aba-5acfcebba023","resolution":{"observed_at":"2026-08-11T10:22:24.611834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.601068Z","title":"Ben Slimane","venue":null,"work_id":"a6954116-7095-4a19-9fbe-e46b31e03e71","year":2001},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.124691Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:6a085da02198048f811aaf47c3744bb148009b48d41a71e47559097477ff4dd3","observation_id":"0f9d153f-7d09-4f7e-a294-a67938e528ed","resolution":{"observed_at":"2026-08-11T10:22:24.603674Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.127197Z","title":"JAX : composable transformations of P ython+ N um P y programs, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.127197Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:3a1cdb83c3d306d006103c77cdf01fb7cc40709ab930d029799b4020f8a5db8e","observation_id":"773a89a9-3ccf-4f61-927f-a7ee5d576e1d","resolution":{"observed_at":"2026-08-11T10:22:24.127197Z","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":"2026-08-11T10:22:24.590658Z","title":"Choquette - Choo, Arun Ganesh, Saminul Haque, Thomas Steinke, and Abhradeep Thakurta","venue":null,"work_id":"c48d42c7-6e39-4dd4-b2b2-8703bb5d0db1","year":2025},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.129589Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:a20997d315b13d401f7a8f44d5acce4a078a316636765879809961221589d57f","observation_id":"e1020597-9520-44e3-aa44-81da655b5460","resolution":{"observed_at":"2026-08-11T10:22:24.593299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.584301Z","title":"How private are DP-SGD implementations? In ICML, 2024 a","venue":null,"work_id":"e749f78e-7a7e-49df-b5fa-6c01f7dac984","year":2024},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.132001Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:65cb1ad189dc69b3874ac7f191eb660bb2666d1a5edd834a336319c9a4f607d4","observation_id":"754e4815-371b-4e84-9bfe-db0660d3a149","resolution":{"observed_at":"2026-08-11T10:22:24.586886Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.577431Z","title":"Scalable DP-SGD : Shuffling vs","venue":null,"work_id":"b621945f-ce06-4d9b-a62e-207223b7462b","year":2024},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.134430Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:457c27b2236953fb82485e8403d384b8880521ffdfcea28b98c5ad5ce62e9cd6","observation_id":"5495747d-7444-4011-8880-f3fd7326b5ed","resolution":{"observed_at":"2026-08-11T10:22:24.579954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.570459Z","title":"Order Statistics","venue":null,"work_id":"95872a2c-dede-4742-93c3-66b59712e0b3","year":2004},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.136736Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:469c8d25eaeee3aed2076137d99aa58a27d54bb1f50dcb433dc30bac76dc3424","observation_id":"7859e402-e678-42d4-ad8c-d71b02b82e5b","resolution":{"observed_at":"2026-08-11T10:22:24.573268Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.13650","last_updated":"2022-06-16T17:47:42Z","snapshot_observed_at":"2026-08-22T02:24:03.959569Z","submitted_at":"2022-04-28T17:10:56Z","title":"Unlocking High-Accuracy Differentially Private Image Classification through Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.13650","snapshot_observed_at":"2026-08-11T10:22:24.139044Z","title":"Smith, and Borja Balle","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.139044Z"},"links":{"cited_paper":"/paper/2204.13650","citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:d3218736160315ffea9e2354655caf541adaed00837482e526192c88fd1f19cb","observation_id":"22ec08f9-b9fc-4a7a-b159-58f515af4a5d","resolution":{"observed_at":"2026-08-11T10:22:24.139044Z","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":"2026-08-11T10:22:24.563811Z","title":"Mapreduce: Simplified data processing on large clusters","venue":null,"work_id":"25ef3b24-a75f-4330-ad30-21af3b9f9244","year":2004},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.141721Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:2340bca9bc293d909c3294d7c29c179bb261f5391b059c71b5b7b4c6e1f8c8b7","observation_id":"97a99e29-a6c0-4fa7-8822-83c3b2cc035f","resolution":{"observed_at":"2026-08-11T10:22:24.566747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.557138Z","title":"A list of real-world uses of differential privacy","venue":null,"work_id":"fef0490f-2b06-4f9d-b938-3ea73280edd3","year":2021},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.143989Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:14cbee099e996d7b96c328181d766050bc9b769cf73bd93ce88b99c0bfa51115","observation_id":"2ef99d66-977f-4711-8608-f139db076e6b","resolution":{"observed_at":"2026-08-11T10:22:24.559811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.549045Z","title":"Differentially private diffusion models","venue":null,"work_id":"148fd49d-bc5a-41dd-806c-ac38864af31d","year":2023},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.146354Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:a91fefbbccd104f0608bedbb2c3c4e505c5a2a7530cbf9908a40724278a0ad71","observation_id":"52d7c58b-d824-4e0c-bd18-209f79836f5d","resolution":{"observed_at":"2026-08-11T10:22:24.551663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1603.01887","last_updated":"2016-03-16T16:29:29Z","snapshot_observed_at":"2026-08-15T06:36:19.530635Z","submitted_at":"2016-03-06T22:41:12Z","title":"Concentrated Differential Privacy","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1603.01887","snapshot_observed_at":"2026-08-11T10:22:24.148605Z","title":"Rothblum","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.148605Z"},"links":{"cited_paper":"/paper/1603.01887","citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:82adbae946bde8154e0dc724d4a65d23f86a98da0b4243f71e1aa5f0cc3aa965","observation_id":"b7170621-4545-4325-bfe5-e243db1a1d47","resolution":{"observed_at":"2026-08-11T10:22:24.148605Z","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":"2026-08-11T10:22:24.151975Z","title":"Privacy amplification by random allocation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.151975Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:26c2b839a856380e975425075b4942c7ed928ed52f82fd5e1a6ee64c7ae5e80c","observation_id":"fdee6e3d-7cee-4a88-b776-478163851181","resolution":{"observed_at":"2026-08-11T10:22:24.151975Z","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":"2026-08-11T10:22:24.542058Z","title":"D P A ccounting L ibrary, 2020","venue":null,"work_id":"259760ec-6a93-48ff-853b-f27f7ce35249","year":2020},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.154753Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:489f9a44fab452e098ec20a4a1a6e9c7dca40d112ccef41b3929a303118d1b48","observation_id":"401f739e-b0a9-4086-800e-982cae1a413e","resolution":{"observed_at":"2026-08-11T10:22:24.544839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.534383Z","title":"Exploring the limits of differentially private deep learning with group-wise clipping","venue":null,"work_id":"5413734a-857c-41d2-853d-55c7aeefee0e","year":2023},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.157141Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:588d841f0d32c4c8e247413b6030d340fe92dc02e51ef48f3bebf3da944e7bd2","observation_id":"4165776c-6c54-49d8-a236-aaf3fd687c42","resolution":{"observed_at":"2026-08-11T10:22:24.536993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.528091Z","title":"Probability inequalities for sums of bounded random variables","venue":null,"work_id":"38a41b5e-f4d1-4221-9a9f-9eafa3acc817","year":1963},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.159410Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:bfe25d2f06624df9a254984d6937cdb60fb76cb29f8a44cfb4fa3e1fd900eac1","observation_id":"260e0bcd-d9dc-4bff-ad7c-627cc5e2844a","resolution":{"observed_at":"2026-08-11T10:22:24.530622Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.521426Z","title":"DP-NMT : Scalable differentially-private machine translation","venue":null,"work_id":"3d889584-e02c-4cfb-86e6-e2843030528a","year":2024},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.161952Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:b08d922e2506a678d8bbf0009de97a2e139bdd769cc7aa1739e81544d5a8d9b8","observation_id":"a9046ad5-9322-421c-9a0a-1e515b2628d6","resolution":{"observed_at":"2026-08-11T10:22:24.524030Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.514846Z","title":"Display advertising challenge, 2014","venue":null,"work_id":"609dad71-f4c4-460e-89f5-9596f2f7a22e","year":2014},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.164206Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:5c3db4c9338167cf44fa81d3a31f99bbc7c2d720db95bcf5aff2e8c4050f0380","observation_id":"ff8fa44f-facf-4c92-8f20-39a6e2a39258","resolution":{"observed_at":"2026-08-11T10:22:24.517476Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.508034Z","title":"The composition theorem for differential privacy","venue":null,"work_id":"af9d3493-850e-4e1c-909f-af18ce464abc","year":2015},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.166505Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:ab04bbade3d350a785ccd30cde9ff1ba914e1813c4de7d4ddf88fa2e7945ec0c","observation_id":"df8ce621-1781-4083-888a-2ca62afc7230","resolution":{"observed_at":"2026-08-11T10:22:24.510746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.501450Z","title":"Practical and private (deep) learning without sampling or shuffling","venue":null,"work_id":"4c82eff0-6115-4c53-ad46-be7925df3260","year":2021},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.169050Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:aff3aa06f4cfc13cce1e9db32730a678b75363867c403561508965b27cf1cc87","observation_id":"cd018e01-d80d-47bc-a4c8-efc74dbbf209","resolution":{"observed_at":"2026-08-11T10:22:24.504044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.493831Z","title":"Computing tight differential privacy guarantees using FFT","venue":null,"work_id":"1c723383-fc0e-416a-8471-b406405e02f9","year":2020},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.171614Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:306fb56b93b44b38ae4a799e45a5c4bbb5b4cd64f0202cdc70603f6b610acf59","observation_id":"be5668c9-8952-4e5e-b668-2face5e7a8ac","resolution":{"observed_at":"2026-08-11T10:22:24.496793Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.486797Z","title":"Heikkil \\\" a , and Antti Honkela","venue":null,"work_id":"2a6a5abb-3421-4962-aafe-f04c780d3707","year":2023},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.173877Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:13defbcb4ede1d4b81ced7fe3c12333958cc3093cbf10104596591eb41a2a521","observation_id":"89e868a3-030d-4876-870e-d8713398a923","resolution":{"observed_at":"2026-08-11T10:22:24.489425Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20769","last_updated":"2025-04-08T15:21:03Z","snapshot_observed_at":"2026-08-16T13:48:52.631644Z","submitted_at":"2024-05-27T20:30:12Z","title":"Avoiding Pitfalls for Privacy Accounting of Subsampled Mechanisms under Composition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20769","snapshot_observed_at":"2026-08-11T10:22:24.176098Z","title":"Avoiding pitfalls for privacy accounting of subsampled mechanisms under composition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.176098Z"},"links":{"cited_paper":"/paper/2405.20769","citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:70bd0951bd29b2eed8f81a6cb7427f13441717828ebbd4cd15e085b76df49551","observation_id":"7f31bbed-ba4e-4ccf-b9c1-55a094f72cb0","resolution":{"observed_at":"2026-08-11T10:22:24.176098Z","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":"2026-08-11T10:22:24.478756Z","title":"A simple method for generating gamma variables","venue":null,"work_id":"7a5f37c9-2e0a-429d-9b0b-436fb17039f7","year":2000},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.178682Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:8c134299d572ec81e5fd38b7dde52b1686dad09739e95575fab195c9a897cbe5","observation_id":"8817c1b2-821a-4b04-8d31-7fd84090f98d","resolution":{"observed_at":"2026-08-11T10:22:24.481824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08312","last_updated":"2023-01-18T00:08:02Z","snapshot_observed_at":"2026-08-16T17:20:45.134581Z","submitted_at":"2022-02-16T19:39:58Z","title":"Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams","version":3},"cited_work":{"arxiv_id":"2202.08312","doi":null,"metadata_source":"pith","pith_arxiv_id":"2202.08312","snapshot_observed_at":"2026-08-11T10:22:24.262470Z","title":"Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams","venue":"cs.LG","work_id":"d0db3637-e329-467f-9440-d8d0d4961f52","year":2022},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.180973Z"},"links":{"cited_paper":"/paper/2202.08312","citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:f275b67d64764cc4b69f43da3f57547760717063e07235015dccde064ffdddb7","observation_id":"013eb11d-8b3c-49aa-bfc7-8d533fc8bc8b","resolution":{"observed_at":"2026-08-11T10:22:24.265285Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.470947Z","title":"A fast algorithm to optimally compose privacy guarantees of differentially private ( DP ) mechanisms to arbitrary accuracy., 2021","venue":null,"work_id":"cbef30f4-f1d2-43e1-85d4-912ec0729da6","year":2021},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.184307Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:cf64d3b53aaa8290180c75de979ffc0bf63025494d5b848e1f0b090a47ff9d93","observation_id":"3d435423-8ba0-4ccb-ad8f-ba3d87578ad8","resolution":{"observed_at":"2026-08-11T10:22:24.473621Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.463714Z","title":"R \\' e nyi differential privacy","venue":null,"work_id":"535db412-e503-4d39-aa41-4376521bc838","year":2017},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.187903Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:6bd79a2b6703610c4f3fdf110acec0dd8eaaafa62720052b9eff3f77a9ac5db8","observation_id":"0bec546e-53f3-4881-a86b-596ada225357","resolution":{"observed_at":"2026-08-11T10:22:24.466438Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.456001Z","title":"Brendan McMahan, Sergei Vassilvitskii, Steve Chien, and Abhradeep Guha Thakurta","venue":null,"work_id":"df7c05b2-3a9b-4b45-9265-37f1fc9daad5","year":2023},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.190191Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:759aaf44cc732b922ce4acfaeb59109b8fa1d05eb1036492e08965659b02309a","observation_id":"e3e7c54e-b498-4976-90ce-18ca8085e833","resolution":{"observed_at":"2026-08-11T10:22:24.459110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.446863Z","title":"Code for computing tight guarantees for differential privacy., 2020","venue":null,"work_id":"55b0e196-fa1f-4bfb-a39b-a5b85557b4a3","year":2020},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.193501Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:f2a22d3d5b77f166410344d2c75999e41717f3c3f567ab94c90b3b603c918d7a","observation_id":"451dc81d-6c40-4adc-804d-ced7366e5a07","resolution":{"observed_at":"2026-08-11T10:22:24.450579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1806.08211","last_updated":"2018-05-25T23:15:00Z","snapshot_observed_at":"2026-08-19T11:48:29.724754Z","submitted_at":"2018-05-25T23:15:00Z","title":"Reacting to Variations in Product Demand: An Application for Conversion Rate (CR) Prediction in Sponsored Search","version":1},"cited_work":{"arxiv_id":"1806.08211","doi":null,"metadata_source":"pith","pith_arxiv_id":"1806.08211","snapshot_observed_at":"2026-08-11T10:22:24.250237Z","title":"Reacting to Variations in Product Demand: An Application for Conversion Rate (CR) Prediction in Sponsored Search","venue":"cs.IR","work_id":"4d0eaeb7-f301-4646-bcf8-ed170a2e54be","year":2018},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.196469Z"},"links":{"cited_paper":"/paper/1806.08211","citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:311a2782fdc787e368a6d87da7aa0363fdbac8e9d8e30445999a2c4e0b75fed5","observation_id":"ea425761-88e3-44ee-ad83-82675afe34d9","resolution":{"observed_at":"2026-08-11T10:22:24.255645Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04343","last_updated":"2025-01-31T02:33:07Z","snapshot_observed_at":"2026-08-16T14:28:55.877518Z","submitted_at":"2024-01-09T03:53:59Z","title":"Private Fine-tuning of Large Language Models with Zeroth-order Optimization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04343","snapshot_observed_at":"2026-08-11T10:22:24.199646Z","title":"Private fine-tuning of large language models with zeroth-order optimization","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.199646Z"},"links":{"cited_paper":"/paper/2401.04343","citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:294ef22bcdaadf20b8bfeba0807b9178ce6e1d084ec157c18aafdfc48e5d4b8a","observation_id":"a26ba01c-3eca-4997-a558-cf05502d8497","resolution":{"observed_at":"2026-08-11T10:22:24.199646Z","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":"2026-08-11T10:22:24.438485Z","title":"URL https://www.tensorflow.org/responsible_ai/privacy/api_docs/python/tf_privacy","venue":null,"work_id":"44540e23-ee25-4426-8b8f-adb2e67105ea","year":2024},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.202560Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:170998d24118b83dffd211a54876c9f7afd2c0872d3f6e5293609cd4eadc8703","observation_id":"1b73c2b1-66ed-4822-86c5-70bdd0fae2ef","resolution":{"observed_at":"2026-08-11T10:22:24.441535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.431154Z","title":"A randomized approach to tight privacy accounting","venue":null,"work_id":"201957e6-551d-4ebe-83b0-bd5bd069a2b7","year":2023},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.204756Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:abcb8198d99941b5fd7b5e6d3e4f81a4064600ae53a6b306e9d51124d57786ce","observation_id":"ecd89288-ea19-471b-9940-ba36d6118a3a","resolution":{"observed_at":"2026-08-11T10:22:24.433890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.12298","last_updated":"2022-08-22T20:24:50Z","snapshot_observed_at":"2026-08-19T03:28:59.817992Z","submitted_at":"2021-09-25T07:10:54Z","title":"Opacus: User-Friendly Differential Privacy Library in PyTorch","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.12298","snapshot_observed_at":"2026-08-11T10:22:24.207263Z","title":"Opacus: User-friendly differential privacy library in PyTorch","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.207263Z"},"links":{"cited_paper":"/paper/2109.12298","citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:5e8759610acde5f662e8e36d4865e9b1fb320c74385deb1da6d0077eb474836b","observation_id":"47340917-beea-467b-8ca6-5c4e493bd917","resolution":{"observed_at":"2026-08-11T10:22:24.207263Z","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":"2026-08-11T10:22:24.423391Z","title":"Optimal accounting of differential privacy via characteristic function","venue":null,"work_id":"9977e6c5-9587-4a55-abba-ccc6e168869e","year":2022},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.209835Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:4d22f3cb0aa8fa413e982545327dd82e40d63beb6e9a24dbcc4d196098fc749e","observation_id":"4af248ac-a533-4959-a7ca-f7fb71592238","resolution":{"observed_at":"2026-08-11T10:22:24.426556Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T10:22:24.212762Z","title":"@esa (Ref","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.212762Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:adb97f626f4742f04149da1e3edc5f57ff8ab6d1ce44330a50256ff252eef8d4","observation_id":"d9a5f481-0e26-488c-ab37-0b3a00fc3c4d","resolution":{"observed_at":"2026-08-11T10:22:24.212762Z","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":"2026-08-11T10:22:24.216705Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.216705Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:87cd08cacfb3050f0f0f77285ccdf13870063046295775ea2f20d9285856fccc","observation_id":"9d5bdcd7-43df-4e29-8f2b-de4f7f6600db","resolution":{"observed_at":"2026-08-11T10:22:24.216705Z","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":"2026-08-11T10:22:24.219276Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD","version":2},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-11T10:22:24.219276Z"},"links":{"citing_paper":"/paper/2412.16802"},"observation_digest":"sha256:b80d14139070b151239529aefabf1ea63afde18bc0ff856abc8e777e41dd6fca","observation_id":"e58c7ec5-9a18-44a4-b541-5141186823e0","resolution":{"observed_at":"2026-08-11T10:22:24.219276Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.16802","last_updated":"2025-03-31T22:49:32Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-21T03:02:34.776495Z","submitted_at":"2024-12-21T23:09:14Z","title":"Balls-and-Bins Sampling for DP-SGD"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":2,"verified_fuzzy":32},"total_outbound_references":45},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2412.16802."}