Paper Citation Record · LEDGER

Differentially Private Meta-Learning

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1909.05830.

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

pith.paper-citation-record.v1
1909.05830 v2

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 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:46:55.629970Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T20:41:09.391568Z

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 7f02f943-1e0b-4e99-a836-f5401a0dfdd4 · inbound

Dyn-D$^2$P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee cites this paper.

Dyn-D$^2$P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee Differentially Private Meta-Learning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-15T22:46:55.629970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b48b2d0-f1fa-47b8-8046-e67c62d1a5b2 · inbound

FedRP: A Communication-Efficient Approach for Differentially Private Federated Learning Using Random Projection cites this paper.

FedRP: A Communication-Efficient Approach for Differentially Private Federated Learning Using Random Projection Differentially Private Meta-Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T18:23:50.351075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf975ed7-9497-42b2-b354-5b73bdb88aac · inbound

Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy cites this paper.

Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy Differentially Private Meta-Learning

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:41:09.395630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 18bfa907-04ad-4bbb-8f6e-be24d8c99eea · inbound

Privacy-Aware Collaborative and Distributed Bayesian Optimization cites this paper.

Privacy-Aware Collaborative and Distributed Bayesian Optimization Differentially Private Meta-Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T04:29:35.143178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.