{"as_of":"2026-08-08T01:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:81d6eca34cdd4b1528c10f0a2e8f984c5b4c599f8a6cbc21a171e89abd3f6363","coverage":[{"denominator":18,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:31:57.698155Z","state":"measured"},{"denominator":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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":"2026-05-09T16:02:19.749100Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.24603","last_updated":"2025-06-04T16:02:22Z","snapshot_observed_at":"2026-08-07T12:14:53.850357Z","submitted_at":"2025-05-30T13:52:48Z","title":"The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches","version":2},"cited_work":{"arxiv_id":"2505.24603","doi":"10.48550/arxiv.2505.24603","metadata_source":"arxiv_reference","pith_arxiv_id":"2505.24603","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"year = 2025, month = jun, number =","venue":"ArXiv.org","work_id":"d5bd6d65-4f77-4fdc-b57a-c5144e6571ea","year":2025},"citing_paper":{"arxiv_id":"2605.05905","last_updated":"2026-07-30T15:39:11Z","snapshot_observed_at":"2026-08-04T09:45:18.900828Z","submitted_at":"2026-05-07T09:16:53Z","title":"Quadratic Objective Perturbation: Curvature-Based Differential Privacy","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-05-09T16:02:19.749100Z"},"links":{"cited_paper":"/paper/2505.24603","citing_paper":"/paper/2605.05905"},"observation_digest":"sha256:43052234c179d2d74f48bfe40eefc454cee2fb9f7f8d29e0ff591198ba5c920a","observation_id":"c0c7d6b5-cd30-40f3-9191-9c775c7045fa","resolution":{"observed_at":"2026-05-09T21:58:47.171884Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.24603/citation-record","integrity":"/paper/2505.24603/integrity","json":"/paper/2505.24603/citation-record.json","paper":"/paper/2505.24603"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:31:59.138783Z","title":"(5) For an invertible matrix A, we have [Brookes, 2020, Section","venue":null,"work_id":"038c2996-dc40-4761-97b9-172fe9af27cc","year":2020},"citing_paper":{"arxiv_id":"2505.24603","last_updated":"2025-06-04T16:02:22Z","snapshot_observed_at":"2026-08-07T12:14:53.850357Z","submitted_at":"2025-05-30T13:52:48Z","title":"The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T12:31:57.014477Z"},"links":{"citing_paper":"/paper/2505.24603"},"observation_digest":"sha256:95bbf32554c4aab098778be71bb1ebaed8c86ebd29d9bec4e4d022d1ce0d9ccb","observation_id":"0d471baf-75ef-4463-9335-e6227959fc51","resolution":{"observed_at":"2026-08-07T12:31:59.187523Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:31:58.452060Z","title":"Our second baseline, from Sheffet [2017, Algorithm 1], was implemented according to the description in Appendix H.2","venue":null,"work_id":"2c86384f-db1c-4d23-9e0c-0013ebbf103a","year":2018},"citing_paper":{"arxiv_id":"2505.24603","last_updated":"2025-06-04T16:02:22Z","snapshot_observed_at":"2026-08-07T12:14:53.850357Z","submitted_at":"2025-05-30T13:52:48Z","title":"The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T12:31:57.457109Z"},"links":{"citing_paper":"/paper/2505.24603"},"observation_digest":"sha256:2f5ae9aefb3520610595f73e2084542488e41c58f5083353377e19ff53dbb433","observation_id":"aa0417dd-a2e7-4a6b-8cc5-f2ac7e099564","resolution":{"observed_at":"2026-08-07T12:31:58.514120Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:31:58.061009Z","title":"1, Sheffet '17]: k d = 2.500 ADASSP [Wang '18] [Alg","venue":null,"work_id":"1e330990-e737-497d-972c-046e21a53965","year":2009},"citing_paper":{"arxiv_id":"2505.24603","last_updated":"2025-06-04T16:02:22Z","snapshot_observed_at":"2026-08-07T12:14:53.850357Z","submitted_at":"2025-05-30T13:52:48Z","title":"The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T12:31:57.698155Z"},"links":{"citing_paper":"/paper/2505.24603"},"observation_digest":"sha256:83594d80f50917c6dc8f5f64c49f61a30c5e06aaa295f17aeff4129a4299dd8c","observation_id":"734a4c28-4f1b-4778-abab-a328c21d8c5d","resolution":{"observed_at":"2026-08-07T12:31:58.114719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:31:59.261323Z","title":null,"venue":null,"work_id":"615377df-267f-4e1a-bff9-9e4422e38cfd","year":2013},"citing_paper":{"arxiv_id":"2505.24603","last_updated":"2025-06-04T16:02:22Z","snapshot_observed_at":"2026-08-07T12:14:53.850357Z","submitted_at":"2025-05-30T13:52:48Z","title":"The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T12:31:56.914296Z"},"links":{"citing_paper":"/paper/2505.24603"},"observation_digest":"sha256:5950f8a23ee67e79cbc575d7396c39b647deee15296a6f9e3064b4de0ca7d76b","observation_id":"f1c2e91e-c0d0-4faa-8561-4fc6b37984ad","resolution":{"observed_at":"2026-08-07T12:31:59.353603Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:31:58.967109Z","title":"We define the discriminant to be ∆H = 1 + 2γ + γ2 log 1 − 1 γ 2 − 8γ 1 + γ + γ2 log 1 − 1 γ which is non-negative","venue":null,"work_id":"00d97d5b-b613-470c-8306-71102f12d68f","year":2017},"citing_paper":{"arxiv_id":"2505.24603","last_updated":"2025-06-04T16:02:22Z","snapshot_observed_at":"2026-08-07T12:14:53.850357Z","submitted_at":"2025-05-30T13:52:48Z","title":"The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T12:31:57.084978Z"},"links":{"citing_paper":"/paper/2505.24603"},"observation_digest":"sha256:66d2bd11a1f23cec0fd69d10c184e833aacc2b7f558f84d921a04eb44597fb25","observation_id":"01153b25-38a5-4d03-a0b9-99af0166c681","resolution":{"observed_at":"2026-08-07T12:31:59.059272Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:31:58.826101Z","title":"The first case (when γ ≤ τ ) trivially satisfies this","venue":null,"work_id":"e9de1274-f294-455a-8a1c-b04cb73c0b60","year":2014},"citing_paper":{"arxiv_id":"2505.24603","last_updated":"2025-06-04T16:02:22Z","snapshot_observed_at":"2026-08-07T12:14:53.850357Z","submitted_at":"2025-05-30T13:52:48Z","title":"The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T12:31:57.155546Z"},"links":{"citing_paper":"/paper/2505.24603"},"observation_digest":"sha256:4432e0aa25da2470b64348a0ea4d9d682737d8e37f6c60db136a08b23d2bcb0b","observation_id":"76ec1e86-c8d8-4766-90fa-a9e607b1cb8c","resolution":{"observed_at":"2026-08-07T12:31:58.866486Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:31:58.719735Z","title":"H Algorithms: Linear Regression H.1 AdaSSP Algorithm 3 AdaSSP [Wang, 2018] Input: Dataset (X, Y); Privacy parameters ε, δ; Bounds: max i∈[n] ∥xi∥2 ≤ C2 X , max i∈[n] |yi|2 ≤ C2 Y","venue":null,"work_id":"bff15f46-d3bd-4371-902c-7d38e231720b","year":2018},"citing_paper":{"arxiv_id":"2505.24603","last_updated":"2025-06-04T16:02:22Z","snapshot_observed_at":"2026-08-07T12:14:53.850357Z","submitted_at":"2025-05-30T13:52:48Z","title":"The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T12:31:57.273530Z"},"links":{"citing_paper":"/paper/2505.24603"},"observation_digest":"sha256:73d7f0219f58774e6f61e285fa64fce9c17793e4c11b00fb41eaeced9ddf58b4","observation_id":"098f79fd-9113-49ed-b9fb-3d3430538d1b","resolution":{"observed_at":"2026-08-07T12:31:58.747142Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:31:58.595054Z","title":"1: Compute λmin := λmin((X, Y)⊤(X, Y))","venue":null,"work_id":"6fbda9aa-80f5-4d7c-b2f9-38fd681717b6","year":2017},"citing_paper":{"arxiv_id":"2505.24603","last_updated":"2025-06-04T16:02:22Z","snapshot_observed_at":"2026-08-07T12:14:53.850357Z","submitted_at":"2025-05-30T13:52:48Z","title":"The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T12:31:57.367675Z"},"links":{"citing_paper":"/paper/2505.24603"},"observation_digest":"sha256:4a8c458671141172623d1183a9f325f02e1a469b4c0b89f31b95dcc0b994783d","observation_id":"047cfbc4-6e81-4aa8-b0bf-e421a056c134","resolution":{"observed_at":"2026-08-07T12:31:58.672901Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:31:58.334250Z","title":"The train and test loaders were generated using torch.utils.data.DataLoader with shuffling enabled","venue":null,"work_id":"7554d1da-5a20-4583-8b49-a749e21aec7f","year":2009},"citing_paper":{"arxiv_id":"2505.24603","last_updated":"2025-06-04T16:02:22Z","snapshot_observed_at":"2026-08-07T12:14:53.850357Z","submitted_at":"2025-05-30T13:52:48Z","title":"The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T12:31:57.557315Z"},"links":{"citing_paper":"/paper/2505.24603"},"observation_digest":"sha256:5c3f2227b7231434c6d264bbbec5091db10bc394b9391b479bf51077ed705ebe","observation_id":"b879662d-2343-41e1-bc28-aef2b1ef8a87","resolution":{"observed_at":"2026-08-07T12:31:58.394176Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:31:58.193997Z","title":"Runtime comparisons show the ratio of execution times for the largest simulated ε","venue":null,"work_id":"643188eb-49ca-4308-9c6f-dd37ffc3a09a","year":1978},"citing_paper":{"arxiv_id":"2505.24603","last_updated":"2025-06-04T16:02:22Z","snapshot_observed_at":"2026-08-07T12:14:53.850357Z","submitted_at":"2025-05-30T13:52:48Z","title":"The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches","version":2},"reference_index":500,"source":"pdf_text","source_observed_at":"2026-08-07T12:31:57.611960Z"},"links":{"citing_paper":"/paper/2505.24603"},"observation_digest":"sha256:f73416139885364780f9fbf483bda163fb95332fcc8c6230b0d709caa7d133f4","observation_id":"dda57975-7027-48d7-aed0-089dde8aaaa5","resolution":{"observed_at":"2026-08-07T12:31:58.282853Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:31:59.534130Z","title":"Improved approximation algorithms for large matrices via random projections","venue":null,"work_id":"0c94b725-d319-42a0-a18f-3835a7197bf9","year":2006},"citing_paper":{"arxiv_id":"2505.24603","last_updated":"2025-06-04T16:02:22Z","snapshot_observed_at":"2026-08-07T12:14:53.850357Z","submitted_at":"2025-05-30T13:52:48Z","title":"The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches","version":2},"reference_index":1961,"source":"pdf_text","source_observed_at":"2026-08-07T12:31:56.343762Z"},"links":{"citing_paper":"/paper/2505.24603"},"observation_digest":"sha256:13ba04220b723048b31d34f326573ff1fc88a5b5234f9cdbfca45bec2f075cf0","observation_id":"206ff287-f1af-41ae-9f71-2a3bd60e640c","resolution":{"observed_at":"2026-08-07T12:31:59.610056Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1507.00056","last_updated":"2015-11-25T00:22:08Z","snapshot_observed_at":"2026-08-05T11:08:52.747077Z","submitted_at":"2015-06-30T22:46:35Z","title":"Private Approximations of the 2nd-Moment Matrix Using Existing Techniques in Linear Regression","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1507.00056","snapshot_observed_at":"2026-08-07T12:31:56.571254Z","title":"Private approximations of the 2nd-moment matrix using existing techniques in linear regression","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.24603","last_updated":"2025-06-04T16:02:22Z","snapshot_observed_at":"2026-08-07T12:14:53.850357Z","submitted_at":"2025-05-30T13:52:48Z","title":"The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches","version":2},"reference_index":2006,"source":"pdf_text","source_observed_at":"2026-08-07T12:31:56.571254Z"},"links":{"cited_paper":"/paper/1507.00056","citing_paper":"/paper/2505.24603"},"observation_digest":"sha256:311fe292150ea50ea1ef9050c776065f4ea2820146819117c122ece9fb799149","observation_id":"18eaef21-b582-429c-bc96-185300c1478f","resolution":{"observed_at":"2026-08-07T12:31:56.571254Z","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":"2026-08-07T12:31:59.676538Z","title":"edu/~kriz/learning-features-2009-TR.pdf","venue":null,"work_id":"fb534490-0287-4ab9-afb0-e2d70ec0d7af","year":2009},"citing_paper":{"arxiv_id":"2505.24603","last_updated":"2025-06-04T16:02:22Z","snapshot_observed_at":"2026-08-07T12:14:53.850357Z","submitted_at":"2025-05-30T13:52:48Z","title":"The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches","version":2},"reference_index":2009,"source":"pdf_text","source_observed_at":"2026-08-07T12:31:56.257263Z"},"links":{"citing_paper":"/paper/2505.24603"},"observation_digest":"sha256:4dcc452300c26f1d8fc91a43dd3b264e31b9d3d8ae8963c0be44fecce75b10a1","observation_id":"b2d81ec5-8e9d-4036-bfe9-4a0c9089839c","resolution":{"observed_at":"2026-08-07T12:31:59.718160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:31:56.747036Z","title":"Fashion-MNIST: a novel image dataset for bench- marking machine learning algorithms","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.24603","last_updated":"2025-06-04T16:02:22Z","snapshot_observed_at":"2026-08-07T12:14:53.850357Z","submitted_at":"2025-05-30T13:52:48Z","title":"The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches","version":2},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-07T12:31:56.747036Z"},"links":{"cited_paper":"/paper/1708.07747","citing_paper":"/paper/2505.24603"},"observation_digest":"sha256:8bb677113b7ad9fc4f76363fdfa56129bfe9ee4bfd1dbc2cacdc399eea1aae1d","observation_id":"ca16415d-1375-40b5-8f97-5f153adf7dfa","resolution":{"observed_at":"2026-08-07T12:31:56.747036Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.12298","last_updated":"2022-08-22T20:24:50Z","snapshot_observed_at":"2026-08-06T15:46:33.397187Z","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":"2026-08-07T12:31:56.839268Z","title":"Opacus: User-friendly differential privacy library in PyTorch","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.24603","last_updated":"2025-06-04T16:02:22Z","snapshot_observed_at":"2026-08-07T12:14:53.850357Z","submitted_at":"2025-05-30T13:52:48Z","title":"The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches","version":2},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-07T12:31:56.839268Z"},"links":{"cited_paper":"/paper/2109.12298","citing_paper":"/paper/2505.24603"},"observation_digest":"sha256:2295060600d47e0caec402ade285035b3f57e37f6bc2bd4b53a3f5e676569a83","observation_id":"8a782b08-c043-4001-a549-aa508a3e5f12","resolution":{"observed_at":"2026-08-07T12:31:56.839268Z","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":"2026-08-07T12:31:59.772410Z","title":"A History of Census Privacy Protections","venue":null,"work_id":"f8a05cd5-d8cd-4252-a734-5f14a66c8c66","year":2019},"citing_paper":{"arxiv_id":"2505.24603","last_updated":"2025-06-04T16:02:22Z","snapshot_observed_at":"2026-08-07T12:14:53.850357Z","submitted_at":"2025-05-30T13:52:48Z","title":"The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches","version":2},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-07T12:31:56.096909Z"},"links":{"citing_paper":"/paper/2505.24603"},"observation_digest":"sha256:ebd21dfb230e56d4b961cbea902f105b3e197430e4a337fdc3d5c8842a95db2e","observation_id":"4a5d52e0-188e-418d-9a3e-135870c17f81","resolution":{"observed_at":"2026-08-07T12:31:59.821538Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.15002","last_updated":"2024-05-23T19:09:50Z","snapshot_observed_at":"2026-07-06T18:18:55.992177Z","submitted_at":"2024-05-23T19:09:50Z","title":"Private Regression via Data-Dependent Sufficient Statistic Perturbation","version":1},"cited_work":{"arxiv_id":"2405.15002","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.15002","snapshot_observed_at":"2026-08-07T12:31:57.890653Z","title":"Private Regression via Data-Dependent Sufficient Statistic Perturbation","venue":"cs.LG","work_id":"0cdab8bf-75f0-4246-9e11-f6e14ebd5e65","year":2024},"citing_paper":{"arxiv_id":"2505.24603","last_updated":"2025-06-04T16:02:22Z","snapshot_observed_at":"2026-08-07T12:14:53.850357Z","submitted_at":"2025-05-30T13:52:48Z","title":"The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches","version":2},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-07T12:31:56.163962Z"},"links":{"cited_paper":"/paper/2405.15002","citing_paper":"/paper/2505.24603"},"observation_digest":"sha256:4a5bc88afd23189f55717c66939b10da63a4fc01dc07dc63b36a0988f2b2af1a","observation_id":"0bf8d54e-483c-48f4-9483-3ee7ab31b65a","resolution":{"observed_at":"2026-08-07T12:31:57.979546Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:31:59.401111Z","title":"Yuchang Sun, Jiawei Shao, Songze Li, Yuyi Mao, and Jun Zhang","venue":null,"work_id":"f7f35a55-e49f-48aa-bc9f-b77c81d82fe3","year":null},"citing_paper":{"arxiv_id":"2505.24603","last_updated":"2025-06-04T16:02:22Z","snapshot_observed_at":"2026-08-07T12:14:53.850357Z","submitted_at":"2025-05-30T13:52:48Z","title":"The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T12:31:56.653847Z"},"links":{"citing_paper":"/paper/2505.24603"},"observation_digest":"sha256:588936c6192fbf051741c11a8345b4c5409e48fd37fb46731352a4f58126ae67","observation_id":"bac6eb0c-13f5-44d5-8ded-60858f493e67","resolution":{"observed_at":"2026-08-07T12:31:59.457278Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.24603","last_updated":"2025-06-04T16:02:22Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T12:14:53.850357Z","submitted_at":"2025-05-30T13:52:48Z","title":"The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches"},"reference_resolution":{"displayed":18,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":13},"total_outbound_references":18},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation for arXiv:2505.24603."}