Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1911.08772.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:30:20.657655Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T10:36:30.609971Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation fe360e9a-7311-4540-916f-f8614cb9d405 · inbound
Incentivizing Permissionless Distributed Learning of LLMs Understanding Top-k Sparsification in Distributed Deep Learning
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07b3119b-99ca-4b5f-85fa-091ee75a360b · inbound
MuLoCo: Muon is a practical inner optimizer for DiLoCo Understanding Top-k Sparsification in Distributed Deep Learning
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 468b79fc-86a8-4f9a-a816-c9e55809958c · inbound
Model Parallelism With Subnetwork Data Parallelism Understanding Top-k Sparsification in Distributed Deep Learning
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4982b35-9e66-4f74-905e-e11c073a41fe · inbound
Overcoming the Communication-Performance Tradeoff in LLM Pretraining Understanding Top-k Sparsification in Distributed Deep Learning
Reference 2014
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5da72fa0-0d20-4f83-9335-8511185881c0 · inbound
ZipCCL: Efficient Lossless Data Compression of Communication Collectives for Accelerating LLM Training Understanding Top-k Sparsification in Distributed Deep Learning
Reference 41
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.
Observation b0064440-be2e-42b2-85e0-c03c1bcbfae4 · inbound
Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Understanding Top-k Sparsification in Distributed Deep Learning
Reference 52
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ede3020f-5b66-40ea-b5b6-839b9d1bc459 · inbound
Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Understanding Top-k Sparsification in Distributed Deep Learning
Reference 53
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15851a4e-e754-4ea3-9783-8e63a3a1c87e · inbound
Energy Efficiency Maximization for Hybrid RIS-Aided Communications via Deep Unfolding Understanding Top-k Sparsification in Distributed Deep Learning
Reference 40
Source-reported events for the cited work
Unavailable: canonical work link unavailable.