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Paper Citation Record · LEDGER

PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1905.13727.

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

pith.paper-citation-record.v1
1905.13727 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:17:19.862947Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

96
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a7bc7baf-5db0-4dc9-ab4b-79cb07eab909 · inbound

Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch cites this paper.

Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-09T23:17:19.862947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T23:17:19.862947Z digest=sha256:dc6a546fbe396bd2309d8dcd9d05f067f67d9a5c31fc540b43aeb63e9fc8fa6f

Observation fcd2b92b-4813-47a1-a2ff-8fe54a95d3a0 · inbound

PLUMAGE: Probabilistic Low rank Unbiased Min Variance Gradient Estimator for Efficient Large Model Training cites this paper.

PLUMAGE: Probabilistic Low rank Unbiased Min Variance Gradient Estimator for Efficient Large Model Training PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T14:43:44.070097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:43:44.070097Z digest=sha256:ece11a63bbedc795d6f18a7563c88b8113f9ceb83d7dd6ec149410d5728b0b78

Observation e2d0e15c-5da9-4404-adb1-92cbbe2c74de · inbound

PacTrain: Pruning and Adaptive Sparse Gradient Compression for Efficient Collective Communication in Distributed Deep Learning cites this paper.

PacTrain: Pruning and Adaptive Sparse Gradient Compression for Efficient Collective Communication in Distributed Deep Learning PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:05.904277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:05.904277Z digest=sha256:d25c7bdd0a3fa85f2477dbe638f5967d59f4a7ea9c7b5bccbfbe375ca4da9548

Observation 0a9e140c-eb59-4009-b88d-20ee2c96e568 · inbound

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

MuLoCo: Muon is a practical inner optimizer for DiLoCo PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:29.825333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:45:29.825333Z digest=sha256:ca694f62cc255c26887890cc8ceee54970377d603c57ec996aa12d4e843eb60e

Observation d415e8e9-6869-43ef-a2e7-c0c0f9839eca · inbound

DiLoCoX: A Low-Communication Large-Scale Training Framework for Decentralized Cluster cites this paper.

DiLoCoX: A Low-Communication Large-Scale Training Framework for Decentralized Cluster PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T22:40:13.682045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:40:13.682045Z digest=sha256:31c54d3f56ac1846c89a889e1e94d642ac8491d857879371574c7030f6aeebf3

Observation e1cb204b-8996-4ece-a932-660e7f0ad2bd · inbound

DBLP: Phase-Aware Bounded-Loss Transport for Burst-Resilient Distributed ML Training cites this paper.

DBLP: Phase-Aware Bounded-Loss Transport for Burst-Resilient Distributed ML Training PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:21:07.225798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-09T17:25:11.543592Z digest=sha256:ae69028748bcf18b9ed8022be021a8a3db42eddf8e6255804e3e03abbb14ac65

Observation 962cf3f5-a853-4df3-86b9-1e0833dd32a9 · inbound

SCAPE: Accurate and Efficient LLM Training with Extreme Sparse Communication cites this paper.

SCAPE: Accurate and Efficient LLM Training with Extreme Sparse Communication PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:58:46.607824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-03T17:56:52.510949Z digest=sha256:ddb608472397448f103c83533c3a2797be210f52c65031755522954d6b2a2901

Observation b8e742f2-10f4-40be-bcfc-b4d96c844f24 · inbound

GIFT: Geometry-Informed Low-precision Gradient Communication for LLM Pretraining cites this paper.

GIFT: Geometry-Informed Low-precision Gradient Communication for LLM Pretraining PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-07-09T09:16:06.518204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-09T09:15:12.214083Z digest=sha256:4f4882cf99bfad82b3ac97b4b7c620ce3a25b1ced83a3bed52004506c3eab04c