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Paper Citation Record · LEDGER

SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1910.00643.

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

pith.paper-citation-record.v1
1910.00643 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 2026-08-10T06:31:04.303077+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:56:54.242984Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:07:37.130360Z

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 37dc725d-0a66-4983-81c6-96f072bce2cd · inbound

PyTorch Distributed: Experiences on Accelerating Data Parallel Training cites this paper.

PyTorch Distributed: Experiences on Accelerating Data Parallel Training SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-17T19:15:26.872701Z

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.

source=pdf_text observed=2026-05-17T19:15:26.764929Z digest=sha256:d489306b8670043b17c6f2fae2f90fe7c251c757d8c7b2ec569d4d9de85d0c41

Observation ac94afe9-2bb0-4052-944e-96deaee0befc · inbound

Federated Continual Learning: Concepts, Challenges, and Solutions cites this paper.

Federated Continual Learning: Concepts, Challenges, and Solutions SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum

Reference 230

Resolution
unresolved
no resolver link, observed 2026-08-08T13:56:54.242984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:56:54.242984Z digest=sha256:dd8ee0f41ca20cc4616e544d4ac18837474edd6078b7624cd9d53485c3423976

Observation 2520a9a2-5742-4b72-ac56-c67118ab154f · inbound

MuLoCo: Muon is a practical inner optimizer for DiLoCo cites this paper.

MuLoCo: Muon is a practical inner optimizer for DiLoCo SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:30.191025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:45:30.191025Z digest=sha256:6af25e7a53d49993efad02a58b056b0b3a68882661b5a8842cd8c43a17c40c2d

Observation c79c6f55-67ad-49b6-9528-6e98935ee3bf · inbound

HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training cites this paper.

HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:06.638357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:46:06.638357Z digest=sha256:3e5c05a0573cf7377e397a5712d50a90d18ac034e20379324d2fa3750eab9763

Observation 4f1972de-243b-4db5-b001-e3c6a835a5bf · inbound

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios cites this paper.

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T15:49:09.518345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:49:09.518345Z digest=sha256:1220a807e7a5c32c76094cfe1b406335ff747607683474f71220b46e261d873a

Observation 319545ff-8ff6-45a6-bd7d-c89389b22308 · inbound

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

Overcoming the Communication-Performance Tradeoff in LLM Pretraining SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-05T17:50:42.840735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:50:42.840735Z digest=sha256:32adf59503815c4292bd960739ecfcfc5cbf9bce189583b73c1962137c6cc76a

Observation 8a3cc152-3585-4f3b-b125-859174bb68c7 · inbound

Decentralized SGD with Controlled Disagreement Finds Flatter Minima cites this paper.

Decentralized SGD with Controlled Disagreement Finds Flatter Minima SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-03T05:17:30.553287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T05:17:30.553287Z digest=sha256:139b44552f75e7240130360916617d72779ab4b81c5b0af31a74d07508922fe5

Observation 9851ea9f-c0c3-428f-9ff8-0d5fb5120a7e · inbound

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization cites this paper.

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:00:59.555759Z

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.

source=pdf_text observed=2026-05-10T16:20:43.523895Z digest=sha256:8971794c04d017b829f963d9d354039bd0005cd446301bd91f43c41f1fa7ba51

Observation 84876bb2-62a2-4255-827d-d5ecc1626cba · inbound

Unifying Local Communications and Local Updates for LLM Pretraining cites this paper.

Unifying Local Communications and Local Updates for LLM Pretraining SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:07:37.131870Z

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.

source=pdf_text observed=2026-06-27T14:07:42.062805Z digest=sha256:4a23dfe11f75d141e9abf83fb6c9e6a11340211a9bf4666ff9821f249a5deead

Observation 647dc2b0-7346-4d1c-bdc9-0bae9b940744 · 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 SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum

Reference 92

Resolution
unresolved
no resolver link, observed 2026-07-12T00:07:55.485589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T00:07:55.485589Z digest=sha256:32bd2963544e79663ad31c39e689b5a97189dcba8c977ffa044e4f37929dde3b