Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
D2P-Fed: Differentially Private Federated Learning With Efficient Communication
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2006.13039.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T11:14:08.235788Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T05:51:11.049690Z
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 d5bcff93-6758-4c0b-a9dc-f3e9a8b05a8b · inbound
Quantification of the energy consumption of entanglement distribution cites this paper.
Quantification of the energy consumption of entanglement distribution D2P-Fed: Differentially Private Federated Learning With Efficient Communication
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:14:08.235788Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9acf48bf-5f6d-475d-b233-b8f689f0e041 · inbound
Sketched Gaussian Mechanism for Private Federated Learning cites this paper.
Sketched Gaussian Mechanism for Private Federated Learning D2P-Fed: Differentially Private Federated Learning With Efficient Communication
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:12:50.411303Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3696b7e-379b-440a-9bfe-08021a4f2128 · inbound
Scalable and Private Federated Learning Using Distributed Differential Privacy and Secure Aggregation cites this paper.
Scalable and Private Federated Learning Using Distributed Differential Privacy and Secure Aggregation D2P-Fed: Differentially Private Federated Learning With Efficient Communication
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:51:11.052071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.