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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:23:00.006822Z

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-21T10:30:58.601351Z digest=sha256:3a20642e5020b8023584b0bbf1ec420f980b9475631f2c9ff23bffb2437ba30a

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.

source=arxiv_source observed=2026-08-07T11:23:00.006822Z digest=sha256:513f92c60e6bcee3c126eb3e185f62260f675a3ba81c733a2f45ecc52e40b6fe

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.

source=pdf_text observed=2026-08-06T21:47:45.531668Z digest=sha256:19de0012387bc08ba04f09ab3fa536ded15a054f05bb3fa4d0551c9f430bb765

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.

source=pdf_text observed=2026-08-05T17:50:42.832022Z digest=sha256:7b51deaf2894c80e2676f5d19e2cd0fd5a6a6e4083694237664ba57150eb01ea

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.

source=pdf_text observed=2026-08-04T17:01:42.061587Z digest=sha256:81f2a28478302a3d1e4f3a39874e30e8193d4a2d40aa101b7db2b6d003a7ae21

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T04:30:06.269559Z digest=sha256:2a1d4295692c19ed365975bb06326612bd4ad8d078ecbfee44c87da4628bdf12

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-01T09:10:20.045403Z digest=sha256:2f6f6dbaf7f0a565b787e5e1191b2ba1d8e46ba26c4aef5b3cca2f1fd64dacc0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T16:45:53.627922Z digest=sha256:746d49ec01c4bcfda44bf7e27095ee41adbb873e95dff4a0e29b602eb602660a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:8b5369e2857d7042c000092801144e510a0d52e50f3c3ffb50b07083c5ae10f6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T06:41:55.732230Z digest=sha256:6e64b6e6c712f7b4c881c2de8f65e32b058ae1ecbdb7f38fd721f4d510a15099