Paper Citation Record · LEDGER

Composition of Differential Privacy & Privacy Amplification by Subsampling

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2210.00597.

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

pith.paper-citation-record.v1
2210.00597 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:51:47.106739Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T15:58:38.214080Z

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 bdd4cea1-db09-47f4-b71a-1e46930ddf6e · inbound

Decentralized Optimization with Amplified Privacy via Efficient Communication cites this paper.

Decentralized Optimization with Amplified Privacy via Efficient Communication Composition of Differential Privacy & Privacy Amplification by Subsampling

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:47.106739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1352ffb7-fb9b-4ded-a12d-39934a44b91c · inbound

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications cites this paper.

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications Composition of Differential Privacy & Privacy Amplification by Subsampling

Reference 151

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:11.170918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae4ba253-e91f-452b-8746-6281bc9ee3a1 · inbound

Interpreting Differential Privacy in Terms of Disclosure Risk cites this paper.

Interpreting Differential Privacy in Terms of Disclosure Risk Composition of Differential Privacy & Privacy Amplification by Subsampling

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T18:03:14.812822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3aad46a-fa57-44b7-a123-cb1822290752 · inbound

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation cites this paper.

Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Composition of Differential Privacy & Privacy Amplification by Subsampling

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:02.268040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fec12f39-83fa-4deb-b0fc-61d25fb5645b · inbound

Fixed-Composition Shuffle Asymptotics in the Full-Support Gaussian Regime cites this paper.

Fixed-Composition Shuffle Asymptotics in the Full-Support Gaussian Regime Composition of Differential Privacy & Privacy Amplification by Subsampling

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T10:07:16.643303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49db8779-7566-48e4-88e0-4d0178564e46 · inbound

When Determinants Are Not Enough: Private Rare Switching cites this paper.

When Determinants Are Not Enough: Private Rare Switching Composition of Differential Privacy & Privacy Amplification by Subsampling

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:05:22.478711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a146cf6e-b830-4187-aed9-6d096434cfa4 · inbound

Differentially Private Hierarchical Heavy Hitters cites this paper.

Differentially Private Hierarchical Heavy Hitters Composition of Differential Privacy & Privacy Amplification by Subsampling

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-07-03T15:58:38.215425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7d7fe58a-f7c8-45a8-8b10-b7de87bea6c3 · inbound

Differentially Private Nonparametric Modal Learning with Applications to Regression and Clustering cites this paper.

Differentially Private Nonparametric Modal Learning with Applications to Regression and Clustering Composition of Differential Privacy & Privacy Amplification by Subsampling

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T02:11:38.512622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.