Paper Citation Record · LEDGER

One-shot Empirical Privacy Estimation for Federated Learning

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2302.03098.

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

pith.paper-citation-record.v1
2302.03098 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:55:04.146978Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:37:37.043730Z

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 b6d4dc14-e480-4804-8b57-da5ee8866fbc · inbound

Towards One-shot Federated Learning: Advances, Challenges, and Future Directions cites this paper.

Towards One-shot Federated Learning: Advances, Challenges, and Future Directions One-shot Empirical Privacy Estimation for Federated Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T00:55:04.146978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 101de698-4ea4-45a7-9e7d-cf42dc9236fa · 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 One-shot Empirical Privacy Estimation for Federated Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T19:55:22.336968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2de30924-e8c5-4029-ab8a-34ac8bbc8c4c · inbound

A Bayesian Approach to Membership Inference for Statistical Release cites this paper.

A Bayesian Approach to Membership Inference for Statistical Release One-shot Empirical Privacy Estimation for Federated Learning

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T14:13:31.001937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a5ee2726-1ce0-4440-8a09-5da3ef0adebb · inbound

Advancing the State-of-the-Art in Empirical Privacy Auditing cites this paper.

Advancing the State-of-the-Art in Empirical Privacy Auditing One-shot Empirical Privacy Estimation for Federated Learning

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:37:37.045729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.