Pith. sign in

Paper Citation Record · LEDGER

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy

As of 9 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2607.06320.

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

pith.paper-citation-record.v1
2607.06320 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-08T10:08:39.983029Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

  • verified exact5
  • verified fuzzy40
  • unresolved4
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b456b3b6-c0bd-4f00-a136-92c011159c1f · outbound

This paper cites Goodfellow, H.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Goodfellow, H

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.571746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:e52654beb798294e23436cadeff038ac36af368a8b4ecac48262bbb957eacf92

Observation e083cec9-b3ee-41ac-8261-d9fbb819e3f8 · outbound

This paper cites The Skellam mechanism for differentially private federated learning.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy The Skellam mechanism for differentially private federated learning

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.580113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:88b6eb320d7c6bff2c9ebcc81962c65ea2b8f08ca312b985c4facfcc5d113ae7

Observation 50b2cbf9-19ac-4b91-a616-8158960f55f9 · outbound

This paper cites cpSGD: communication-efficient and differentially-private distributed SGD.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy cpSGD: communication-efficient and differentially-private distributed SGD

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.505214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:98a030a13aa85014cd8ce7ed90ff5da91fa0394df543aa12ea97bb16bfe179f8

Observation 6f573eb7-3345-4923-924c-da6d5e6cb891 · outbound

This paper cites Count on your elders: Laplace vs.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Count on your elders: Laplace vs

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.502350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:13c51652bd3cd271d0506b324d0e6c907c9877da594d2fa85985bb80cce2fcb9

Observation b8b69d2e-3469-41a2-a571-8626196278af · outbound

This paper cites Differential privacy on finite computers.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Differential privacy on finite computers

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.533614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:43303128d4e17be59145f17e8be538764cd727ce2dcb1cf286266193c7cd6fe1

Observation d8c9f6ea-0a9b-4280-bd24-3e13dad9dc38 · outbound

This paper cites Privacy amplification by subsampling: tight analyses via couplings and divergences.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Privacy amplification by subsampling: tight analyses via couplings and divergences

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.497381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:0c287b1b200a7ce06724fb85f29445738d9f1c8a300f1c88202db24785f85783

Observation e4d84dde-02b3-4c62-95d8-260cb8b96cbb · outbound

This paper cites Skellam mixture mechanism: a novel approach to federated learning with differential privacy.Proc.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Skellam mixture mechanism: a novel approach to federated learning with differential privacy.Proc

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.499821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:176371559fc9a6ba557ea5137b2287d36f1fc8b2ca1ce7ee68276eeae81c32ca

Observation 2b6594d1-74b2-41d4-ba89-6853e454d270 · outbound

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

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Private empirical risk minimization: efficient algorithms and tight error bounds

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.508193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:2a530d3932cd9d58e427fadd2f596544b5b4efa68a79c456c27c4c93654bbef8

Observation 98b38749-cd29-4784-8504-86dbe9098d65 · outbound

This paper cites Canonne, Gautam Kamath, and Thomas Steinke.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Canonne, Gautam Kamath, and Thomas Steinke

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.575410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:ea64af5427e1b209a93819bc75b5754b2412ce4345189713b510802fe52dfd76

Observation b468df7f-ea1d-4318-bcc1-c171295f5e45 · outbound

This paper cites Canonne, Francis E.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Canonne, Francis E

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.526027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:40ff755daf529897f09b507ec9b28093e87577b6fb352032665ed45143761763

Observation eb83d7af-9450-4543-96cb-6e2b83282979 · outbound

This paper cites Lawrence Carter and Mark N.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Lawrence Carter and Mark N

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.552800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:3c55c64337ab5a55cc3e0d26eb95ab782798d67d2fa74d6716ceb0dd5260a60c

Observation ee24df9c-b3e8-41aa-8358-b1471a0b76b3 · outbound

This paper cites The Poisson binomial mechanism for unbiased federated learning with secure aggregation.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy The Poisson binomial mechanism for unbiased federated learning with secure aggregation

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.605599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:a86bdd9addffb34645bfcd30664efd74197aa44c7ccf72d2e9e2ef0b56dd7834

Observation 6c437a61-823e-49ad-aeb8-02b242fb7d98 · outbound

This paper cites an unresolved cited work.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-07-08T10:14:52.598401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:3fc1a886db4c9aa3586ecf0b365214eebedc1f582c6e0fe975d04f44cd74aaad

Observation 1ca5e868-2bac-4c1a-9d40-e0069b1f67e0 · outbound

This paper cites Balls-and-bins sampling for DP-SGD.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Balls-and-bins sampling for DP-SGD

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.601034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:61267016409166d4b375a4747aa73a5993da9f0b082ae013db5f7e1a59112c23

Observation 4f2450d6-c714-4987-9b1c-854fec3a45f0 · outbound

This paper cites Cover and Joy A.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Cover and Joy A

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.603284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:ccae5cb6d77f1b6fd95230f37a420ae094e27d9153aa161f7e3cffa4ad36ae4b

Observation 0e90fae0-db1b-40e6-98e5-96c693b173ea · outbound

This paper cites Springer, New York, 1986.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Springer, New York, 1986

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.611028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:f7659cf4ef58be6a3f3dcc448a3889674cae48066a65a125ba17102dbbcac1d9

Observation 85bdf274-3122-4943-acbc-93813fc1e9db · outbound

This paper cites Avoiding floating-point side channels in the report noisy max with gap mechanism.Journal of Privacy and Confidentiality, 15(3), 2025.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Avoiding floating-point side channels in the report noisy max with gap mechanism.Journal of Privacy and Confidentiality, 15(3), 2025

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.593657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:948deb4feb54b19642168d9f4733c67c02a08d196d5069a787128c8c0fcf151c

Observation ddfcd664-eacd-4917-8976-7accb90a85c2 · outbound

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

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Our data, ourselves: privacy via distributed noise generation

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.591975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:ec1829ef887634ce551ebf87ad9cc1b02dd92da2c7095ef2b85ec98beea1d2bc

Observation 8e622676-ba29-4f3d-a48d-d7bb8103c7fc · outbound

This paper cites The algorithmic foundations of differential privacy.Found.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy The algorithmic foundations of differential privacy.Found

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.591685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:930faf1fb093e8b600bb4537ddc363c5a7d06c0e1ec5dfd7c0dc6c1dc38b81bb

Observation 6775bc04-6a6f-4d01-bf3d-7b960d72aed2 · outbound

This paper cites High-speed random number generator co-processors for machine learning and AI acceleration.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy High-speed random number generator co-processors for machine learning and AI acceleration

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.523876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:fbf0ee0ed6267ccf4de9d39ca5ac584c8799367939d26189266fbb8cf89c47b4

Observation 55a7480e-480b-46b7-8e99-73bdea9183ca · outbound

This paper cites Amplification by shuffling: from local to central differential privacy via anonymity.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Amplification by shuffling: from local to central differential privacy via anonymity

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.559606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:e9454e06bb50482f43d9f58db31108483d37cfa22faa3a88638d75084a3a6700

Observation 22021c1f-b48c-4b75-a165-6e9168e068fd · outbound

This paper cites Hiding among the clones: A simple and nearly optimal analysis of privacy amplification by shuffling.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Hiding among the clones: A simple and nearly optimal analysis of privacy amplification by shuffling

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.577623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:f204229386d223271853947d51f6cfa8ca2a6ac83d297a97b33fa64e92d032ab

Observation aa74930a-000d-44b1-897c-efad29f9f44a · outbound

This paper cites Stronger privacy amplification by shuffling for Rényi and approximate differential privacy.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Stronger privacy amplification by shuffling for Rényi and approximate differential privacy

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.583715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:637b6073139b7d606555790f27331ed59d947ec8bd08b4bf0f1ad81a1dd29e94

Observation f915397d-d41b-4e46-a0b7-ab45d8764bef · outbound

This paper cites and Shenfeld, M.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy and Shenfeld, M

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-07-08T10:14:52.067807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:b47db9c0de4f5d635599addb94a65e251e102a26698345bb55ad84342b9daae7

Observation 69f9f33f-6edc-44cd-a28c-0a1294f82afe · outbound

This paper cites The optimal noise-adding mechanism in differential privacy.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy The optimal noise-adding mechanism in differential privacy

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.595642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:8dd2598a4f56f5b6aa817a64e7c706935f3a7af2e553ede0aaea9edcae11012c

Observation da94e337-0aef-40f9-a6f8-d7fe47e1be86 · outbound

This paper cites Efficient derandomization of differentially private counting queries.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Efficient derandomization of differentially private counting queries

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.608065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:cc3526d7ce1d0602f4ed6602b6f78cafcabda6110c4cb132cf48637311391447

Observation bb776438-eef3-4e6d-b64b-6b60f5662572 · outbound

This paper cites Universally utility-maximizing privacy mechanisms.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Universally utility-maximizing privacy mechanisms

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.613626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:5ac8148e598edd4a7b1f8bef9694be79b5a60409be4693a53661ec6eeee45340

Observation e75662a5-8528-4485-83d6-67ebc7a6846d · outbound

This paper cites Precision-based attacks and interval refining: how to break, then fix, differential privacy on finite computers.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Precision-based attacks and interval refining: how to break, then fix, differential privacy on finite computers

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-07-08T10:14:52.051654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:f7c7db4e1637d8500fe5df262110f6d5d233a06a2889fd6c02ff3db3af6e2579

Observation 2cc6eef0-e653-4eca-add3-3baeccaae208 · outbound

This paper cites On the geometry of differential privacy.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy On the geometry of differential privacy

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.567052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:dca0afc40abc057ff77616d858863259f05663874525ff57ddc9185a4ddeaa25

Observation cb5c4ecd-9149-4017-9f9b-f6ab9744e00a · outbound

This paper cites Secure random sampling in differential privacy.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Secure random sampling in differential privacy

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.550930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:5a58537190f5bf1655e2969e05a89957c7093b524bec5c89ce1f35c022329705

Observation c54c1fd8-666a-4532-92ba-1f729319c94f · outbound

This paper cites Diffprivlib: The IBM Differential Privacy Library.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Diffprivlib: The IBM Differential Privacy Library

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-07-08T10:14:52.072602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:4e8e477d965f959112a5cb113c966984683d19d7b4226ce9f5e8e0de6e738325

Observation 134e0860-c245-479a-8acf-10dc0c3629f7 · outbound

This paper cites Implementing the exponential mechanism with base-2 differential privacy.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Implementing the exponential mechanism with base-2 differential privacy

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.548859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:e9893c0dd2238b02365b2f3cab1bfe5e7d3d93c9ae5b722fd9b0f829cf04bbbd

Observation 0d157daa-dff5-4dbe-9563-32e2c54df25f · outbound

This paper cites Are we there yet? timing and floating-point attacks on differential privacy systems.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Are we there yet? timing and floating-point attacks on differential privacy systems

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.546474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:38c853844b8c0a91193e2a7abafd63af1e8081d39634532fae3d78411ecd4d95

Observation 89b4232a-1093-422d-969d-82989465b036 · outbound

This paper cites The distributed discrete Gaussian mechanism for federated learning with secure aggregation.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy The distributed discrete Gaussian mechanism for federated learning with secure aggregation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.544262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:99852ef4a384b5bd2a12197083be5776a81fe26e358cab400e5fd60a082d19ab

Observation 8823b8a8-8b1f-48e7-9d42-238baff7aa4e · outbound

This paper cites Knuth and Andrew C.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Knuth and Andrew C

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.557898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:8ddb6b75aab4c4faa2f0ae79f5fe4a62b89ce5f64d20428e474379a7587e2165

Observation c6f9b04f-b506-48c7-881b-9e86aaf660b3 · outbound

This paper cites Computing tight differential privacy guarantees using FFT.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Computing tight differential privacy guarantees using FFT

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.572546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:784921a0073f1513f544a817c5d20bb222d5d64cc605521698adda3242850488

Observation 2953388c-33a6-4dd8-8dd7-22738924fd06 · outbound

This paper cites Avoiding pitfalls for privacy accounting of subsampled mechanisms under composition.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Avoiding pitfalls for privacy accounting of subsampled mechanisms under composition

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.560103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:206979071fab0583902b6be778a6c6fe7f09491c76668c7821e31ce6bd07da05

Observation 542eecda-f8f0-4f94-9a47-847f7ecf4815 · outbound

This paper cites Achieving AWGN channel capacity with lattice Gaussian coding.IEEE Transactions on Information Theory, 60(10):5918–5929, 2014.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Achieving AWGN channel capacity with lattice Gaussian coding.IEEE Transactions on Information Theory, 60(10):5918–5929, 2014

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.568071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:845dd06f75d90f46fe0a8a67ffc4611bc85d2d8108f7f0306e6798d8c2332cb8

Observation 22637243-71a9-49a8-86ef-7611516d54fd · outbound

This paper cites On significance of the least significant bits for differential privacy.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy On significance of the least significant bits for differential privacy

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.598007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:d17bc3fd329b9b56945ba819800fea0991b2a7e3e2c1d8a0434e141ec8b7b048

Observation 57cd9f04-5d8c-408c-bc91-46926c4b63b0 · outbound

This paper cites Rényi differential privacy.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Rényi differential privacy

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.566016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:6374ac914c78a7be521c10367e8ef637f98cb4f069be3c456008f11eb5c2523a

Observation f4219845-f1ce-4eef-b7bf-adc67684429c · outbound

This paper cites https://opendp.org.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy https://opendp.org

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.520850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:e5bdd2d8cfd32db8c652e1dcfabce5d216ff51657c05f73e6fd2ff8f9ebb9232

Observation 89184bec-ed64-4930-a116-f4c6cc23bfd2 · outbound

This paper cites Sur les équations algébriques ayant toutes leurs racines réelles.Mathematica, pages 129–145, 1935.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Sur les équations algébriques ayant toutes leurs racines réelles.Mathematica, pages 129–145, 1935

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.616234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:ad6b6f77f4556896a73cf8f99655d948481a9efe7214df4171c27407c7c72a57

Observation a5a982ff-0eef-4056-8436-8dc015438d77 · outbound

This paper cites an unresolved cited work.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-07-08T10:14:52.587005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:f9f2fe7cf47206d1a01889ccaf6f7a97411c69636a9b69ab88b64995990a71c2

Observation bf21b24f-4fbc-4dae-b5f6-eb6e7d052a86 · outbound

This paper cites an unresolved cited work.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-07-08T10:14:52.511992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:dabcb0479b1f0ab6c50ae88f14b08048471905573ddf9dc92b0bf5688baec28e

Observation f67f4ea1-07fc-4d0b-9ade-c4aa3f2a7a27 · outbound

This paper cites Unified mechanism- specific amplification by subsampling and group privacy amplification.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Unified mechanism- specific amplification by subsampling and group privacy amplification

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.553305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:2dfdf56020194fe9474584dcd960ffc323d12101d97ca5af1a5193d04abdcba3

Observation 9defa78d-d694-4a94-8203-ebc31e788cc0 · outbound

This paper cites an unresolved cited work.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-07-08T10:14:52.569601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:33f4ae1daf7af679f6628397e660a4a147bd5b97a5fbb1e68ee053265597cb70

Observation f639341a-6554-4577-9aa7-2ec622eb3cae · outbound

This paper cites Vaultgemma: A differentially private gemma model.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Vaultgemma: A differentially private gemma model

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-08T10:14:52.062975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:e86f2758a04c108aafe8f6dfc70652d6d1e11efad1fb287958b2babe5ae27818

Observation f0eb4a4e-7c4b-4095-83a1-5ba7ba6744ec · outbound

This paper cites Pavan, Jamie Radcliffe, and N.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Pavan, Jamie Radcliffe, and N

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-08T10:14:52.548656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:430ebc8d6ac60946d34193b0d4bf54151d7cd714d4cc63c7b99789d6c1e7de1a

Observation 57ff222b-e942-480f-a041-38c72d2811b9 · outbound

This paper cites Privacy Amplification via Shuffling: Unified, Simplified, and Tightened.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Privacy Amplification via Shuffling: Unified, Simplified, and Tightened

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-07-08T10:14:52.077613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:1d79b4ab5e064702e7ff9cbcb5538fd8aba039470e9fb6cceb6648e1dc26b856

Observation 40aba182-18f9-4d4f-a0bf-43d3fc5a4674 · outbound

This paper cites Opacus: User-Friendly Differential Privacy Library in PyTorch.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy Opacus: User-Friendly Differential Privacy Library in PyTorch

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-07-08T10:14:52.065335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:bff73a670dc2691943ce3f1992c5116bd79a98b30c8a38355f89b3191dd96a8f

Observation f230d8ab-2dfd-4e68-a3f0-989547da249b · outbound

This paper cites step counters.

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy step counters

Reference 52

Resolution
malformed identifier
raw_fallback, observed 2026-07-08T10:14:52.521730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:49c4aac8ad0f44075f06cef103a00ffaeb8653a3c3832ff9b748c59345d532a0

Pith citing papers

No inbound Pith citation observations are available.