Paper Citation Record · LEDGER

Distributed Learning with Compressed Gradient Differences

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1901.09269.

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

pith.paper-citation-record.v1
1901.09269 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:16:20.234748Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T05:49:40.712610Z

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 6750f118-febd-4c13-a7f4-dbe79892840a · inbound

Event-Driven Online Vertical Federated Learning cites this paper.

Event-Driven Online Vertical Federated Learning Distributed Learning with Compressed Gradient Differences

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:20.234748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d4e5667-3ad4-45e2-b4c5-4edfee898bad · inbound

Beyond Communication Overhead: A Multilevel Monte Carlo Approach for Mitigating Compression Bias in Distributed Learning cites this paper.

Beyond Communication Overhead: A Multilevel Monte Carlo Approach for Mitigating Compression Bias in Distributed Learning Distributed Learning with Compressed Gradient Differences

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T19:35:15.337111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 058ca985-3f8f-484f-a715-8f4815e29f4e · inbound

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications cites this paper.

Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications Distributed Learning with Compressed Gradient Differences

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:19:32.513897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b006044d-54cc-418d-bdd6-7cf479bb6aef · inbound

Federated Majorize-Minimization: Beyond Parameter Aggregation cites this paper.

Federated Majorize-Minimization: Beyond Parameter Aggregation Distributed Learning with Compressed Gradient Differences

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T14:54:37.077686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4193532b-7aeb-491d-b65f-be918068dc3b · inbound

Optimization Methods and Software for Federated Learning cites this paper.

Optimization Methods and Software for Federated Learning Distributed Learning with Compressed Gradient Differences

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-04T21:20:47.215429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee8337e3-0f14-4d8f-b4f5-f0dcaa0e16d2 · inbound

EdgeDetect: Importance-Aware Gradient Compression with Homomorphic Aggregation for Federated Intrusion Detection cites this paper.

EdgeDetect: Importance-Aware Gradient Compression with Homomorphic Aggregation for Federated Intrusion Detection Distributed Learning with Compressed Gradient Differences

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T11:30:18.963677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b60bd406-62ab-468b-9774-9d81a2fa8b74 · inbound

Scalable Distributed Stochastic Optimization via Bidirectional Compression: Beyond Pessimistic Limits cites this paper.

Scalable Distributed Stochastic Optimization via Bidirectional Compression: Beyond Pessimistic Limits Distributed Learning with Compressed Gradient Differences

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:05:54.861564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 69f1287d-6031-4b31-8fff-d39dfcae1abb · 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 Distributed Learning with Compressed Gradient Differences

Reference 95

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:51:29.893744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5757dc2c-0f63-47b2-89c1-a1d2974dd3da · 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 Distributed Learning with Compressed Gradient Differences

Reference 213

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:32:52.115188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ce4f0e07-7b67-440d-9fa5-7cef5a2449a6 · inbound

Ringmaster LMO: Asynchronous Linear Minimization Oracle Momentum Method cites this paper.

Ringmaster LMO: Asynchronous Linear Minimization Oracle Momentum Method Distributed Learning with Compressed Gradient Differences

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:13:18.628288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f04a6f94-5f30-4392-be56-2c3dd2846d82 · 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 Distributed Learning with Compressed Gradient Differences

Reference 99

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:49:40.714172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.