Paper Citation Record · LEDGER

Correlated Noise Mechanisms for Differentially Private Learning

As of 10 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 8 inbound Pith citation observations for arXiv:2506.08201.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.08201 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:28:45.618949Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:24:34.503894Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

29 of 29 outbound references displayed

verified exact7
verified fuzzy12
unresolved9
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation cb18b7a3-8917-4f46-a5d9-d7d5bf37b38e · outbound

This paper cites Deep Learning with Differen- tial Privacy.

Correlated Noise Mechanisms for Differentially Private Learning Deep Learning with Differen- tial Privacy

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:49.474021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a0d8556d-d7fc-4205-ab7f-235486e2031d · outbound

This paper cites How Private are DP-SGD Implementations?.

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:28:47.084156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 42422161-60bc-4dde-9143-533fa9923361 · outbound

This paper cites doi: 10.1111/rssb .12454.

Reference 8

Resolution: malformed identifier; no resolver link, observed 2026-08-07T05:28:44.101079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bf91c64-0bd9-4d12-9e64-3d17681ed103 · outbound

This paper cites Concentrated Differential Privacy.

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:28:44.173079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90828679-05c5-4586-b600-90bdaf21bf7b · outbound

This paper cites Private Convex Optimization via Exponential Mechanism.

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:28:46.654143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6c0a6c32-ee60-4890-89ee-ae4d621da3f8 · outbound

This paper cites Back to square roots: An optimal bound on the matrix factorization error for multi-epoch differentially private sgd.arXiv preprint arXiv:2505.12128,.

Correlated Noise Mechanisms for Differentially Private Learning Back to square roots: An optimal bound on the matrix factorization error for multi-epoch differentially private sgd.arXiv preprint arXiv:2505.12128,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:28:44.696741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e30e41c3-0e8a-47f5-860a-a0d26017923f · outbound

This paper cites Factorization Norms and Hereditary Discrepancy.

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:28:45.094840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 953c0861-b494-485c-a979-024d53e228a4 · outbound

This paper cites HDMM: Optimizing error of high-dimensional statistical queries under differential privacy.

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T05:28:45.160325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1306d785-17bf-4f88-9ad1-6f54cbe37c53 · outbound

This paper cites Understanding hierar- chical methods for differentially private histograms.Proceedings of the VLDB Endowment, 6(14):1954–1965,.

Correlated Noise Mechanisms for Differentially Private Learning Understanding hierar- chical methods for differentially private histograms.Proceedings of the VLDB Endowment, 6(14):1954–1965,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:48.103529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1b547e70-3a33-41de-b30f-6a900966775b · outbound

This paper cites Convex op- timization for linear query processing under approximate differential privacy.

Correlated Noise Mechanisms for Differentially Private Learning Convex op- timization for linear query processing under approximate differential privacy

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:47.637240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7c40bd96-96e7-41ef-8200-4aa4a63d4489 · outbound

This paper cites Differentially private online-to-batch for smooth losses.

Correlated Noise Mechanisms for Differentially Private Learning Differentially private online-to-batch for smooth losses

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:47.456552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 52fb3402-a915-42c5-a761-3efb01f937db · outbound

This paper cites Private empirical risk minimization: Efficient algorithms and tight error bounds.

Correlated Noise Mechanisms for Differentially Private Learning Private empirical risk minimization: Efficient algorithms and tight error bounds

Reference 1961

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:49.348522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0908f11e-fc73-4a78-90ae-390766d355a8 · outbound

This paper cites URL https://doi.org/10.1307/mmj/1028999029.

Correlated Noise Mechanisms for Differentially Private Learning URL https://doi.org/10.1307/mmj/1028999029

Reference 1964

Resolution: unresolved; no resolver link, observed 2026-08-07T05:28:45.234586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 404a7175-2a49-4ef0-a746-007ba3234dd4 · outbound

This paper cites Efficient use of differentially private binary trees.

Correlated Noise Mechanisms for Differentially Private Learning Efficient use of differentially private binary trees

Reference 1971

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:48.553392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f7c67f28-8f03-4fb7-9e5d-0e3db2fad8aa · outbound

This paper cites Factorization Norms and Hereditary Discrepancy.International Mathematics Re- search Notices, 2020(3):751–780,.

Correlated Noise Mechanisms for Differentially Private Learning Factorization Norms and Hereditary Discrepancy.International Mathematics Re- search Notices, 2020(3):751–780,

Reference 1993

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:48.273451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5723a85d-a68a-4c00-ba25-51d5aec76c66 · outbound

This paper cites Census Bureau Sets Key Parameters to Protect Privacy in 2020 Census Results.https://www.census.gov/newsr oom/press-releases/2021/2020-census-key-parameters.html ,.

Correlated Noise Mechanisms for Differentially Private Learning Census Bureau Sets Key Parameters to Protect Privacy in 2020 Census Results.https://www.census.gov/newsr oom/press-releases/2021/2020-census-key-parameters.html ,

Reference 2003

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:47.965630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e0ea4abf-4d34-43ce-b333-76869c92db25 · outbound

This paper cites Chao Li, Michael Hay, Gerome Miklau, and Yue Wang.

Correlated Noise Mechanisms for Differentially Private Learning Chao Li, Michael Hay, Gerome Miklau, and Yue Wang

Reference 2008

Resolution: verified exact; raw_fallback, observed 2026-08-07T05:28:46.382807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d3a60943-b4d5-4323-a6e5-390b709cffd9 · outbound

This paper cites Improved Differentially Private Continual Observation Using Group Algebra.

Correlated Noise Mechanisms for Differentially Private Learning Improved Differentially Private Continual Observation Using Group Algebra

Reference 2010

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:48.870544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3c7951c9-0baa-481f-8e42-83f9eccc8cd7 · outbound

This paper cites an unresolved cited work.

Reference 2012

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:28:48.422111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 56a91fb3-bc5e-4b08-9061-73b89ba92243 · outbound

This paper cites Differentially Private Continual Release of Graph Statistics.

Reference 2013

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:28:45.816610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a5c3e239-f93d-4f88-9923-93cd4d5fd646 · outbound

This paper cites Optimality of Matrix Mechanism on $\ell_p^p$-metric.

Reference 2015

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:28:46.143976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7194da4e-e09e-4a89-8d33-b2822f4b001f · outbound

This paper cites Our data, ourselves: Privacy via distributed noise generation.

Correlated Noise Mechanisms for Differentially Private Learning Our data, ourselves: Privacy via distributed noise generation

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:49.025033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation edccd3cb-ec24-488a-85c9-430ae4ab1395 · outbound

This paper cites Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses.

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T05:28:43.704750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1afa581-52de-4e7d-80a8-902aa3731533 · outbound

This paper cites Differentially private algorithms for graphs under continual observation.arXiv preprint arXiv:2106.14756,.

Correlated Noise Mechanisms for Differentially Private Learning Differentially private algorithms for graphs under continual observation.arXiv preprint arXiv:2106.14756,

Reference 2020

Resolution: verified exact; raw_fallback, observed 2026-08-07T05:28:46.880854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a759dfc6-447b-435a-b5a6-9c2e6b2a1bf3 · outbound

This paper cites an unresolved cited work.

Reference 2021

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:28:47.778839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f629f1ae-b74d-467f-92c6-fd564d2b43b6 · outbound

This paper cites Differen- tially private data cubes: optimizing noise sources and consistency.

Correlated Noise Mechanisms for Differentially Private Learning Differen- tially private data cubes: optimizing noise sources and consistency

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:49.178074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 33150f4a-6c43-43f0-95f6-ceb7ac84a77f · outbound

This paper cites To shuffle or not to shuffle: Auditing dp-sgd with shuffling.arXiv preprint arXiv:2411.10614,.

Correlated Noise Mechanisms for Differentially Private Learning To shuffle or not to shuffle: Auditing dp-sgd with shuffling.arXiv preprint arXiv:2411.10614,

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T05:28:43.544534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c999913e-6604-4838-ae27-9c14cfba52f5 · outbound

This paper cites Optimal Rates for $O(1)$-Smooth DP-SCO with a Single Epoch and Large Batches.

Reference 2024

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:28:47.223699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ea062221-d8a1-4e67-b481-dcb401384ed8 · outbound

This paper cites Almost Tight Error Bounds on Differentially Private Continual Counting.

Correlated Noise Mechanisms for Differentially Private Learning Almost Tight Error Bounds on Differentially Private Continual Counting

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:28:48.720489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 231781b1-9378-4076-bc39-43d37ce3e5ea · inbound

Correlating Cross-Iteration Noise for DP-SGD using Model Curvature cites this paper.

Correlating Cross-Iteration Noise for DP-SGD using Model Curvature Correlated Noise Mechanisms for Differentially Private Learning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T11:24:34.503894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c1b7f0a-8c36-4e25-91a9-2eb0b36433b4 · inbound

Privacy, Prediction, and Allocation cites this paper.

Privacy, Prediction, and Allocation Correlated Noise Mechanisms for Differentially Private Learning

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:43:01.855271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c3be5d1b-28af-4032-93c2-4303fe4cfbe0 · inbound

CityOS: Privacy Architecture for Urban Sensing cites this paper.

CityOS: Privacy Architecture for Urban Sensing Correlated Noise Mechanisms for Differentially Private Learning

Reference 67

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T01:19:32.567527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2327ba5d-023a-460d-ac9a-5e4194a78fe8 · inbound

Population Risk Bounds for Kolmogorov-Arnold Networks Trained by DP-SGD with Correlated Noise cites this paper.

Population Risk Bounds for Kolmogorov-Arnold Networks Trained by DP-SGD with Correlated Noise Correlated Noise Mechanisms for Differentially Private Learning

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:43:00.882388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation afe22225-b57d-48f3-aa2b-3bfbc620ef4e · inbound

Limits of Personalizing Differential Privacy Budgets cites this paper.

Limits of Personalizing Differential Privacy Budgets Correlated Noise Mechanisms for Differentially Private Learning

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T18:17:34.747982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation be1c05de-a0cc-4c86-8c6f-fdd22b090040 · inbound

From Privacy to Generalization: Linear Max-Information Bounds for DP-SGD cites this paper.

From Privacy to Generalization: Linear Max-Information Bounds for DP-SGD Correlated Noise Mechanisms for Differentially Private Learning

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T23:14:01.907417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f916bf32-e557-4bea-96d2-ff862a27106b · inbound

Local Differential Privacy with Correlated Noise Achieves Central-DP Optimal Cost cites this paper.

Local Differential Privacy with Correlated Noise Achieves Central-DP Optimal Cost Correlated Noise Mechanisms for Differentially Private Learning

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:22:51.510875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6acfbde3-2641-4dc5-8722-0a571b6f71a4 · inbound

Improved Error Bounds for Pure Differentially Private Continual Counting via Matrix Factorization cites this paper.

Improved Error Bounds for Pure Differentially Private Continual Counting via Matrix Factorization Correlated Noise Mechanisms for Differentially Private Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-13T05:28:27.662569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.