Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FedNL: Making Newton-Type Methods Applicable to Federated Learning
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2106.02969.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T21:12:51.552457Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T05:49:40.560450Z
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 bd38a1f0-30da-4202-b684-0465e3d5210e · inbound
Sketched Gaussian Mechanism for Private Federated Learning cites this paper.
Sketched Gaussian Mechanism for Private Federated Learning FedNL: Making Newton-Type Methods Applicable to Federated Learning
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:12:51.552457Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8d62a70-4017-40c4-9e17-56dbb8b4013a · inbound
Exclusive Hadron Observables in Neutrino Induced $2p2h$ Multinucleon Knockout cites this paper.
Exclusive Hadron Observables in Neutrino Induced $2p2h$ Multinucleon Knockout FedNL: Making Newton-Type Methods Applicable to Federated Learning
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T20:05:26.173933Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 077e4cb5-4b9e-4a44-8f25-3fb504c0bf57 · inbound
Scalable Distributed Stochastic Optimization via Bidirectional Compression: Beyond Pessimistic Limits cites this paper.
Scalable Distributed Stochastic Optimization via Bidirectional Compression: Beyond Pessimistic Limits FedNL: Making Newton-Type Methods Applicable to Federated Learning
Reference 105
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:05:54.848748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5942a421-81b8-4e9d-a6dd-b85d2be87bfb · inbound
Rennala MVR: Improved Time Complexity for Parallel Stochastic Optimization via Momentum-Based Variance Reduction cites this paper.
Rennala MVR: Improved Time Complexity for Parallel Stochastic Optimization via Momentum-Based Variance Reduction FedNL: Making Newton-Type Methods Applicable to Federated Learning
Reference 188
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:51:33.861237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 939ee9d0-f095-4b18-8bb6-4c84cf793e06 · inbound
Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity cites this paper.
Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity FedNL: Making Newton-Type Methods Applicable to Federated Learning
Reference 200
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:32:52.087092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b3f0d701-172f-417e-8027-d92d130d3d95 · inbound
Ringmaster LMO: Asynchronous Linear Minimization Oracle Momentum Method cites this paper.
Ringmaster LMO: Asynchronous Linear Minimization Oracle Momentum Method FedNL: Making Newton-Type Methods Applicable to Federated Learning
Reference 190
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T13:13:18.560490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bce7632a-9c6b-4ad4-a071-64eac23e09be · inbound
LOSCAR-SGD: Local SGD with Communication-Computation Overlap and Delay-Corrected Sparse Model Averaging cites this paper.
LOSCAR-SGD: Local SGD with Communication-Computation Overlap and Delay-Corrected Sparse Model Averaging FedNL: Making Newton-Type Methods Applicable to Federated Learning
Reference 191
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T05:49:40.562301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4ac7e8ca-187c-4ec2-a7b1-e3c880cdf0c1 · inbound
Decentralized Inexact Cubic Newton Method with Consensus Procedure cites this paper.
Decentralized Inexact Cubic Newton Method with Consensus Procedure FedNL: Making Newton-Type Methods Applicable to Federated Learning
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T03:33:56.505234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 40404671-bca7-47c9-9bdd-e5851af18910 · inbound
FedACT: Federated Adaptive Coordinate Trust Modulation for Robust Transformer Training under Data Heterogeneity cites this paper.
FedACT: Federated Adaptive Coordinate Trust Modulation for Robust Transformer Training under Data Heterogeneity FedNL: Making Newton-Type Methods Applicable to Federated Learning
Reference 95
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:07:55.485589Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.