Paper Citation Record · LEDGER

Connect the Dots: Tighter Discrete Approximations of Privacy Loss Distributions

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2207.04380.

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

pith.paper-citation-record.v1
2207.04380 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:49:39.921115Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T09:11:21.098921Z

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 478552f2-f72f-4393-9e79-aff0a7011cfb · inbound

Laplace Transform Interpretation of Differential Privacy cites this paper.

Laplace Transform Interpretation of Differential Privacy Connect the Dots: Tighter Discrete Approximations of Privacy Loss Distributions

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T21:11:27.493238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fa5d219-af11-43cf-90a2-a72f44d8d0ff · inbound

Optimizing Noise Distributions for Differential Privacy cites this paper.

Optimizing Noise Distributions for Differential Privacy Connect the Dots: Tighter Discrete Approximations of Privacy Loss Distributions

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:49:39.921115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcda48af-0bde-42b7-9b12-c834bfd247f8 · inbound

Private Rate-Constrained Optimization with Applications to Fair Learning cites this paper.

Private Rate-Constrained Optimization with Applications to Fair Learning Connect the Dots: Tighter Discrete Approximations of Privacy Loss Distributions

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:09:12.497962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fb54694-c64b-445e-9ff8-0d1046c80fe4 · inbound

Differentially Private Model Merging cites this paper.

Differentially Private Model Merging Connect the Dots: Tighter Discrete Approximations of Privacy Loss Distributions

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:41:05.189787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 922b5c92-fac6-4cd5-877a-7d69b7ef79b0 · inbound

Provable Robustness against Backdoor Attacks via the Primal-Dual Perspective on Differential Privacy cites this paper.

Provable Robustness against Backdoor Attacks via the Primal-Dual Perspective on Differential Privacy Connect the Dots: Tighter Discrete Approximations of Privacy Loss Distributions

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:11:21.101256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.