Paper Citation Record · LEDGER

Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.06755.

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

pith.paper-citation-record.v1
2406.06755 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T02:11:37.053817Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:29:52.362363Z

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 52ef0e25-9f96-4697-94ef-67d0e3a02ba9 · inbound

Optimal differentially private kernel learning with random projection cites this paper.

Optimal differentially private kernel learning with random projection Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:12:00.775010Z

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 0f74b46e-3035-4c40-a99f-d2925743ddfd · inbound

Efficient Propose-Test-Release for Optimal Differentially Private Estimation cites this paper.

Efficient Propose-Test-Release for Optimal Differentially Private Estimation Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:51:29.417338Z

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 b96154da-9445-4bd2-8e79-6ac2e9c5ff78 · inbound

Efficient Propose-Test-Release for Optimal Differentially Private Estimation cites this paper.

Efficient Propose-Test-Release for Optimal Differentially Private Estimation Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:17:28.480340Z

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 dd4ab720-e68f-4847-8a8b-aca4da179443 · inbound

Differentially private hypothesis testing in survival analysis cites this paper.

Differentially private hypothesis testing in survival analysis Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T19:17:43.571009Z

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 1faf4f00-da67-472c-bbac-962c20bada75 · inbound

Statistical Limits and Efficient Algorithms for Differentially Private Federated Learning cites this paper.

Statistical Limits and Efficient Algorithms for Differentially Private Federated Learning Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-20T08:03:08.745859Z

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 704951f1-5080-4af5-8d9c-f747cb9eda56 · inbound

A Van Trees Lower Bound for Fully Interactive Differentially Private Federated Learning cites this paper.

A Van Trees Lower Bound for Fully Interactive Differentially Private Federated Learning Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T07:18:06.940923Z

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 b284b12a-7899-4d98-872d-c4cfceb90567 · inbound

A Van Trees Lower Bound for Fully Interactive Differentially Private Federated Learning cites this paper.

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-12T16:29:28.243675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 206490a7-86f6-47a7-95b6-e5ff66a7de8a · inbound

NetPTR: Optimal Differentially Private Spectral Community Detection on Sparse Networks cites this paper.

NetPTR: Optimal Differentially Private Spectral Community Detection on Sparse Networks Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T12:29:52.363836Z

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 37699e93-9dba-49fe-a81f-cf47c543754d · 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 Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T02:11:37.053817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.