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Paper Citation Record · LEDGER

Distributed Learning with Compressed Gradient Differences

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T05:49:28.713982Z

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 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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T11:26:34.134190Z digest=sha256:6548c296c4e7e5b575cfe46b9c25408a808101915508f77b096b8f9668dd4642

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:52:53.588595Z digest=sha256:189c7a144cebf4fe17087483db016c9869b4ccf68a97b7a9626c8e6e2868ecdf

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T01:51:20.003552Z digest=sha256:c06eca2dc4ab8056778fe297af5ee7502c46fc2a23275cd3e22de303fc19a9f5

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:968daf156972b764fe3ac6e4d931c8ee42fc77f7ad55771c862c636c5f7c947e

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-20T13:08:52.912250Z digest=sha256:1422c775e7ff2085134486541b5dfb2252edc4733c93349af3f08fcef33a5d53

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-21T05:49:28.713982Z digest=sha256:7ec9dee812da7693c9750c78af16ac11451fde2a01d19fcd0a7d6bfe826e7dee