Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T23:17:19.862947Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
96
pith, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation a7bc7baf-5db0-4dc9-ab4b-79cb07eab909 · inbound
Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
Reference 46
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fcd2b92b-4813-47a1-a2ff-8fe54a95d3a0 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2d0e15c-5da9-4404-adb1-92cbbe2c74de · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a9e140c-eb59-4009-b88d-20ee2c96e568 · inbound
MuLoCo: Muon is a practical inner optimizer for DiLoCo PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
Reference 55
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d415e8e9-6869-43ef-a2e7-c0c0f9839eca · inbound
DiLoCoX: A Low-Communication Large-Scale Training Framework for Decentralized Cluster PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1cb204b-8996-4ece-a932-660e7f0ad2bd · inbound
DBLP: Phase-Aware Bounded-Loss Transport for Burst-Resilient Distributed ML Training PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
Reference 12
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.
Observation 962cf3f5-a853-4df3-86b9-1e0833dd32a9 · inbound
SCAPE: Accurate and Efficient LLM Training with Extreme Sparse Communication PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
Reference 46
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.
Observation b8e742f2-10f4-40be-bcfc-b4d96c844f24 · inbound
GIFT: Geometry-Informed Low-precision Gradient Communication for LLM Pretraining PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
Reference 26
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.