Paper Citation Record · LEDGER

How to scale distributed deep learning?

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1611.04581.

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

pith.paper-citation-record.v1
1611.04581 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:54:34.773511Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T09:39:47.170037Z

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 0ae32da0-7e30-40ee-82b3-13cea8b66514 · inbound

Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations cites this paper.

Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations How to scale distributed deep learning?

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-14T13:54:34.773511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c3be546-6f44-4312-8a1a-ebd0bc63e72a · inbound

Distributed Sign Momentum with Local Steps for Training Transformers cites this paper.

Distributed Sign Momentum with Local Steps for Training Transformers How to scale distributed deep learning?

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-12T11:52:40.193192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc369c6a-c7e9-483a-9ec6-01932fb175bc · inbound

Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning cites this paper.

Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning How to scale distributed deep learning?

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:27.523987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86bd5311-663d-4acf-b965-a53d868c0922 · inbound

Factored Gossip DiLoCo: Reducing Blocking Communication in DiLoCo cites this paper.

Factored Gossip DiLoCo: Reducing Blocking Communication in DiLoCo How to scale distributed deep learning?

Reference 41

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T09:39:47.171231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.