Paper Citation Record · LEDGER

The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:1909.05350.

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

pith.paper-citation-record.v1
1909.05350 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:10:43.622565Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:15:44.217071Z

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 60aee7e6-b320-4185-b253-e0318d1c87cb · inbound

Adaptive Federated Optimization cites this paper.

Adaptive Federated Optimization The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication

Reference 236

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:30:58.875788Z

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.

Observation 7fa0e1ab-6e9f-470c-b19b-1f6c11bc3f21 · inbound

Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML cites this paper.

Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T20:10:43.622565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce1143a8-09d8-437d-9ed0-4cec0f507cb0 · inbound

Power of Generalized Smoothness in Stochastic Convex Optimization: First- and Zero-Order Algorithms cites this paper.

Power of Generalized Smoothness in Stochastic Convex Optimization: First- and Zero-Order Algorithms The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-10T00:25:45.224281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d01f2260-b4a3-4298-a4dc-d75ea3d67942 · inbound

Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold cites this paper.

Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:00.006822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af230635-95a5-4e9a-afb0-4988af3d0fd9 · inbound

FedWSQ: Efficient Federated Learning with Weight Standardization and Distribution-Aware Non-Uniform Quantization cites this paper.

FedWSQ: Efficient Federated Learning with Weight Standardization and Distribution-Aware Non-Uniform Quantization The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T21:47:45.531668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7b2f858-94bd-43c9-aaa2-4f663a26e2d7 · inbound

Overcoming the Communication-Performance Tradeoff in LLM Pretraining cites this paper.

Overcoming the Communication-Performance Tradeoff in LLM Pretraining The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T17:50:42.832022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e65ccc3e-13ba-41a3-98b1-4059729db6ff · inbound

From PowerSGD to PowerSGD+: Low-Rank Gradient Compression for Distributed Optimization with Convergence Guarantees cites this paper.

From PowerSGD to PowerSGD+: Low-Rank Gradient Compression for Distributed Optimization with Convergence Guarantees The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T17:01:42.061587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0e68c50-38ee-4881-9a7c-740053632c14 · inbound

FedSLoP: Memory-Efficient Federated Learning with Low-Rank Gradient Projection cites this paper.

FedSLoP: Memory-Efficient Federated Learning with Low-Rank Gradient Projection The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:46:18.381402Z

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.

Observation 813b6755-881d-4851-9dff-ea22ac9a4196 · inbound

FedSLoP: Memory-Efficient Federated Learning with Low-Rank Gradient Projection cites this paper.

FedSLoP: Memory-Efficient Federated Learning with Low-Rank Gradient Projection The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T09:15:44.220254Z

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.

Observation c1404fa7-e813-4c02-b35a-6ddb0f77a06d · inbound

Subspace Optimization for Efficient Federated Learning under Heterogeneous Data cites this paper.

Subspace Optimization for Efficient Federated Learning under Heterogeneous Data The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:31:17.571077Z

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.

Observation dda440a0-6c95-4889-9432-397664f16d92 · 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 The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication

Reference 221

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T19:32:52.211932Z

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.

Observation 328a2f7a-526a-4c88-a95f-77d01c28351a · inbound

One-Step Gradient Delay is Not a Barrier for Large-Scale Asynchronous Pipeline Parallel LLM Pretraining cites this paper.

One-Step Gradient Delay is Not a Barrier for Large-Scale Asynchronous Pipeline Parallel LLM Pretraining The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:44:18.834840Z

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.