Paper Citation Record · LEDGER

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

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 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 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:08:57.795048Z

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 1ef41d7c-c9a1-45da-b7b4-50e92d59a7f3 · inbound

Federated PCA and Estimation for Spiked Covariance Matrices: Optimal Rates and Efficient Algorithm cites this paper.

Federated PCA and Estimation for Spiked Covariance Matrices: Optimal Rates and Efficient Algorithm Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:57.795048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c691cc48-6fcc-4089-9cd6-4e3ed298d9fc · inbound

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints cites this paper.

Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T01:07:29.738850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56b16d26-a167-42fc-9d16-ea4e0a79ecf2 · inbound

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal cites this paper.

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T20:45:23.633594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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.

Observation bd5a5c67-3253-4ecf-b639-67457d56a2a9 · inbound

Personalized Federated Learning via Variance-Aware Nonparametric Empirical Bayes cites this paper.

Personalized Federated Learning via Variance-Aware Nonparametric Empirical Bayes Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T00:13:13.547915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.