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Paper Citation Record · LEDGER

GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1803.05880.

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

pith.paper-citation-record.v1
1803.05880 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:54:34.675971Z

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

81
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 312d0c1e-5ef6-4fc4-b6c2-09fc0643d29b · 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 GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-14T13:54:34.675971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:54:34.675971Z digest=sha256:45f0858522943ab61aef0c6bb3ac031efcfd046537f306e337815fb5e40efffb

Observation 6245b5be-4bd8-4c91-8e35-398ae4b16925 · inbound

Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence cites this paper.

Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-14T05:52:37.394417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:52:37.394417Z digest=sha256:9a2ab7f015401b063374306783bfc792390561761ac60b0aa6795b63fdd3509b

Observation 6c2257e9-0ef7-49ec-b809-2d9bff0772c0 · inbound

Protocol Learning, Decentralized Frontier Risk and the No-Off Problem cites this paper.

Protocol Learning, Decentralized Frontier Risk and the No-Off Problem GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T18:31:21.703170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:31:21.703170Z digest=sha256:e9b88486bf2935e4c8ce938f1a9e9430c892ba750a1e52cac6cc0b21c8d14946

Observation 98eb6f9d-7e71-4ac9-b76e-39bb20f864ef · inbound

SUDA-Muon: Structural Design Principles and Boundaries for Fully Decentralized Muon cites this paper.

SUDA-Muon: Structural Design Principles and Boundaries for Fully Decentralized Muon GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:26:13.612026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T02:48:35.070309Z digest=sha256:12152c88161e872dc6fa6d523000ef9183e926964f0b765b1f29f19e0b917c39

Observation d54819f2-5cac-43c4-bae6-e84165435901 · inbound

Runtime-Orchestrated Second-Order Optimization for Scalable LLM Training cites this paper.

Runtime-Orchestrated Second-Order Optimization for Scalable LLM Training GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-19T18:32:42.972913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T18:30:24.657592Z digest=sha256:165b2bac25cfe69d2b590f8d9dce1fa3eb2e82b3158f4479cd01feb099cbc0fa