Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2207.13793.

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

pith.paper-citation-record.v1
2207.13793 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:27:05.564631Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T10:14:52.048196Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 95c781a9-e749-468a-ada3-52fb63dfbaa2 · inbound

PPFL-RDSN: Privacy-Preserving Federated Learning-based Residual Dense Spatial Networks for Encrypted Lossy Image Reconstruction cites this paper.

PPFL-RDSN: Privacy-Preserving Federated Learning-based Residual Dense Spatial Networks for Encrypted Lossy Image Reconstruction Precision-based attacks and interval refining: how to break, then fix, differential privacy on finite computers

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:05.564631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e571467-c2ed-4ac9-81c2-a0525174a811 · inbound

DPSQL+: A Differentially Private SQL Library with a Minimum Frequency Rule cites this paper.

DPSQL+: A Differentially Private SQL Library with a Minimum Frequency Rule Precision-based attacks and interval refining: how to break, then fix, differential privacy on finite computers

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:30:16.831453Z

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.

Observation 8d4ec614-b3b7-4517-a59c-9e303dce1bd6 · inbound

Assessing Large Language Models for Stabilizing Numerical Expressions in Scientific Software cites this paper.

Assessing Large Language Models for Stabilizing Numerical Expressions in Scientific Software Precision-based attacks and interval refining: how to break, then fix, differential privacy on finite computers

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:10:52.600339Z

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.

Observation e0f56668-fbea-4246-8d98-d1f2be4a5dfb · inbound

Auditing Apple's DifferentialPrivacy.framework: Implementation Bugs, Misconfigurations, and Practical Risks cites this paper.

Auditing Apple's DifferentialPrivacy.framework: Implementation Bugs, Misconfigurations, and Practical Risks Precision-based attacks and interval refining: how to break, then fix, differential privacy on finite computers

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-21T03:49:31.191131Z

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.

Observation 89e31e35-8faa-4fa8-a9a9-5ac10afdf048 · inbound

Auditing Apple's DifferentialPrivacy.framework: Implementation Bugs, Misconfigurations, and Practical Risks cites this paper.

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:46:22.670712Z

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.

Observation 1dc97d8a-262c-4289-8ee8-a04de9ff85e5 · inbound

Probing Memorization of Tabular In-Context Learning cites this paper.

Probing Memorization of Tabular In-Context Learning Precision-based attacks and interval refining: how to break, then fix, differential privacy on finite computers

Reference 93

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T09:25:40.863701Z

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.

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

Dithered Gaussian Mechanism for Randomness-Efficient Differential Privacy cites this paper.

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