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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 2026-08-08T06:32:00.761636+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:7336909dab07b2f59248a9e048147a9ff5e32727d96561e24f9a4f72dfb2a48d

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:cf0ee15a647664e8a70cbb958628a07c8e35a4a35271dda6d48f169d9998f94a

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:a065434dd64ba91d3913c083d92148413a08abfc17a46656aab98cf769d6f58d

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:5ee9dab02a33dcfeeadf1ba7111801150db9d544f34705ed6c8ab9e300e7ddc5

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:31051aa2fa030e6e9d728084cf0b6bc0d48eaa45df19132a84e9ae669eece364

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:6acae93511488e70177f7a850a222c865c18704130dcb404e412615cb5536df4

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:0d5911eab00e6db6d7f2929179b4aadfab52a545eef67ee3baab9826dcef36ed

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:957151e7de4ef35988f0f6300b5b6d9d9537efe73f9ac8246afde394f0c81815

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:9fd8ca2b955a5a02682d026881bc72b7c13bc9bdebd3b1a9b1f56f13cbfd89c1

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:d9d614413cacd729e4b8a5a871c398641aaf68e264edd08421eba3830ab3e683

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

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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 2026-08-08T06:32:00.761636+00:00.

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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

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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 2026-08-08T06:32:00.761636+00:00.

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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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:49f9da9814d89b8de15a8d4d7c2d7b9c8be3da4805b54dd0042139fc037bca06

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:29c54574a75e2482c302c15f04ef12ec7f3f285e4fb5fb7604f2eb8fd490c7b2

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:5707f6cc639799b46c2b27e8d1597ddb5235afea1faa8abe449d74607278ad74

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

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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 2026-08-08T06:32:00.761636+00:00.

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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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:1fedd4e088c07566f7719644b3a8a2be1939a82894c5b0d119a49ba1160024de

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:a96ae0e0165c98bf5ac94b508b8cda7fcb3fd247eaa37b4eba9ecdb56deba836

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:a29fb0d9d3ccb4859dd37f75d3920fcddfbd40864932e3aeafa25a5def9ecb82

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:e72d57c121c363e1a633203645d525b6bbb7c2fc8deef50610dcfcae8e181062

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:033785bb856e326440dbf74ac0ccfa4f5ee736154cbbe85bbd697a3cb0dfd863

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:7b46afb8ef7dcef108f5a2ad3c871a65e542775252f034b3a8a5dc14145f2421

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:291173df91c8c3e10f3c1434601740c2bd82fdf8eba1cec170b859a5290b0ca4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:7832f48d4d52cd8f467ff9cbabfca11cb9e47d4b0f7664354fd743d88dc29902

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:e4704173f9f12c9da667f58c0825eab9c7e8605ed12e8f9e8e9f115fb9b0b274

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:6d25e88a12ae950aad7667a7e568d1f6f9f45da1e00671bf176c8f7cc9a6364d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:0e315ba0ac999b4d963eb8dc18291d2601d4f07ff2a90ebe46092686b22c36af

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:86ad7c7babd1bc85e339953515b027f55d7b7262a559387de3b63d460940a6cb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:b4784924a08b1e0243dae60a00037f467348923a17d952d924b3a8c6fb2a6de7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:716c43e810767ed7a666dc6c06a0b889d816aef3eb2cedd54c658a38a4f7b698

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:0599ef4b39d6471228325d470ed84d743d833975db51cc341af17260863e0aa0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:b782fa7c9d82387b2a091a38d009dca1580777ae30c416ae13ee5c7de9f672bf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:9f4bf3e89cac19d0e3b382517a36e87fb5b14770c78e033a02f8c59bab8d529d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:7cfb5c891a4e06d6307ec1526ae9f7c027676c44ea70e3a6777a81abbf58c381

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:83bfef118b313348a83559a9ee4a2ba398cabd51575595c702f60a3abadbfff8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:e6bf61865e33c24fdece055a33b9b6fb28437fe1b9871ad808dbd8e6c76e76f8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:da133d812aba78923a626df0d6be7ac1aac6608821543492caaafcde1caed790

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:19b01d769fa02f0971fcf617fdd544be30f52fb7ec7b0ea0125ed466280a1e6e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-08T10:08:39.983029Z digest=sha256:3e6d48075fa0b4223fe749263de4a8fc1c6c4daf2b3bc07699416e528d0b79e9

Pith citing papers

No inbound Pith citation observations are available.