Paper Citation Record · LEDGER

Auditing $f$-Differential Privacy in One Run

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2410.22235.

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

pith.paper-citation-record.v1
2410.22235 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:00:17.705991Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T09:46:22.673330Z

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 776c56d7-1974-450c-9416-d0a8bd4d7da9 · inbound

General-Purpose $f$-DP Estimation and Auditing in a Black-Box Setting cites this paper.

General-Purpose $f$-DP Estimation and Auditing in a Black-Box Setting Auditing $f$-Differential Privacy in One Run

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T14:00:17.705991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cf518a0-a621-4def-a6c2-b7fd6b7491e1 · inbound

UniAud: A Unified Auditing Framework for High Auditing Power and Utility with One Training Run cites this paper.

UniAud: A Unified Auditing Framework for High Auditing Power and Utility with One Training Run Auditing $f$-Differential Privacy in One Run

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T19:55:22.315899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecf3f8fe-276b-4313-93f7-9ec6aa1912a2 · inbound

Tight Privacy Audit in One Run cites this paper.

Tight Privacy Audit in One Run Auditing $f$-Differential Privacy in One Run

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T20:29:12.787455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2fbdd9f-9d2a-4b26-a873-5f1c6e06504d · inbound

Sequential Auditing for f-Differential Privacy cites this paper.

Sequential Auditing for f-Differential Privacy Auditing $f$-Differential Privacy in One Run

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T03:59:23.743497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fcd1e9b-d5e0-4b13-bbba-889227509270 · inbound

DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy cites this paper.

DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy Auditing $f$-Differential Privacy in One Run

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:58:13.052086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 241038c7-05c5-4e7f-978a-c890552404ee · inbound

DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy cites this paper.

DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy Auditing $f$-Differential Privacy in One Run

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-21T00:53:53.648864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation acc1a08a-4d96-46da-9bd1-a4af0b50919f · inbound

Beyond Indistinguishability: Measuring Extraction Risk in LLM APIs cites this paper.

Beyond Indistinguishability: Measuring Extraction Risk in LLM APIs Auditing $f$-Differential Privacy in One Run

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:06:02.039036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8380ff49-7609-4a86-99e4-9169eed8320c · inbound

Privacy Auditing with Zero (0) Training Run cites this paper.

Privacy Auditing with Zero (0) Training Run Auditing $f$-Differential Privacy in One Run

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:28:26.998201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 68125b8d-1b38-4ed4-a845-80d64b62931c · 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 Auditing $f$-Differential Privacy in One Run

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-21T03:49:31.212176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0ffea871-0452-4e21-a42e-aaf8995dc96f · 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 Auditing $f$-Differential Privacy in One Run

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:46:22.676359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 95ed2985-4bcb-462e-84f0-6065d58ae0f4 · inbound

Optimal Guarantees for Auditing R\'enyi Differentially Private Machine Learning cites this paper.

Optimal Guarantees for Auditing R\'enyi Differentially Private Machine Learning Auditing $f$-Differential Privacy in One Run

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:51:16.307847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.