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Paper Citation Record · LEDGER

Understanding Top-k Sparsification in Distributed Deep Learning

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.

pith.paper-citation-record.v1
1911.08772 v1

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 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:30:20.657655Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T10:36:30.609971Z

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 fe360e9a-7311-4540-916f-f8614cb9d405 · inbound

Incentivizing Permissionless Distributed Learning of LLMs cites this paper.

Incentivizing Permissionless Distributed Learning of LLMs Understanding Top-k Sparsification in Distributed Deep Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T13:30:20.657655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:30:20.657655Z digest=sha256:2cd4b9e09da88a04be91e140c51584bb5481bcfd64a39cc8000dbda26adeba73

Observation 07b3119b-99ca-4b5f-85fa-091ee75a360b · inbound

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

MuLoCo: Muon is a practical inner optimizer for DiLoCo Understanding Top-k Sparsification in Distributed Deep Learning

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:29.206107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:45:29.206107Z digest=sha256:3ddbbac62b549efc465a585e94a33be5f2bf8e21f9a3877e4cb3a3caa8698723

Observation 468b79fc-86a8-4f9a-a816-c9e55809958c · inbound

Model Parallelism With Subnetwork Data Parallelism cites this paper.

Model Parallelism With Subnetwork Data Parallelism Understanding Top-k Sparsification in Distributed Deep Learning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:59.438283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:59.438283Z digest=sha256:24eff002b8bd8ed834d10a0da0a1a66cd2321c4dce278f9b540ffac46c11a1d3

Observation b4982b35-9e66-4f74-905e-e11c073a41fe · inbound

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

Overcoming the Communication-Performance Tradeoff in LLM Pretraining Understanding Top-k Sparsification in Distributed Deep Learning

Reference 2014

Resolution
malformed identifier
no resolver link, observed 2026-08-05T17:50:42.822540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:50:42.822540Z digest=sha256:fdb49862ef8910a46f1cace9b89f099b5cc12b76a136500b68bf856abcf9615f

Observation 5da72fa0-0d20-4f83-9335-8511185881c0 · inbound

ZipCCL: Efficient Lossless Data Compression of Communication Collectives for Accelerating LLM Training cites this paper.

ZipCCL: Efficient Lossless Data Compression of Communication Collectives for Accelerating LLM Training Understanding Top-k Sparsification in Distributed Deep Learning

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:36:30.612184Z

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.

source=pdf_text observed=2026-05-07T05:22:35.487173Z digest=sha256:931bee8dc5979db8189849e997f78b28f4037ccbfa3641dd31e1294e828accdc

Observation b0064440-be2e-42b2-85e0-c03c1bcbfae4 · inbound

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms cites this paper.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Understanding Top-k Sparsification in Distributed Deep Learning

Reference 52

Resolution
unresolved
no resolver link, observed 2026-07-11T15:21:14.811340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T15:21:14.811340Z digest=sha256:d188948d8224d4d45dbad048cc6f5ab457f52dae0cd9f6c9b13d171ce71dee6b

Observation ede3020f-5b66-40ea-b5b6-839b9d1bc459 · inbound

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms cites this paper.

Adaptive Space-efficient Collectives for Dynamic and Unstructured Sparsity on GPU Platforms Understanding Top-k Sparsification in Distributed Deep Learning

Reference 53

Resolution
unresolved
no resolver link, observed 2026-07-11T15:21:14.811340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T15:21:14.811340Z digest=sha256:055a415ebb171d5ebd115608b3c5099b0bfa5a8cd9ddb062a93504ed491f89be

Observation 15851a4e-e754-4ea3-9783-8e63a3a1c87e · inbound

Energy Efficiency Maximization for Hybrid RIS-Aided Communications via Deep Unfolding cites this paper.

Energy Efficiency Maximization for Hybrid RIS-Aided Communications via Deep Unfolding Understanding Top-k Sparsification in Distributed Deep Learning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-11T11:54:21.248897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T11:54:21.248897Z digest=sha256:2b78084d9788a635cb6b6c2c144f5a866c9f0d36453c76b545eeb6e8b81f8ff4