Pith. sign in

Paper Citation Record · LEDGER

Fully Asynchronous Distributed Optimization with Linear Convergence in Directed Networks

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1901.08215.

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

pith.paper-citation-record.v1
1901.08215 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:29:41.266949Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T04:53:10.140171Z

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 da276368-be4d-4312-a0b5-3a924ec45a63 · inbound

Decentralized Stochastic Gradient Tracking for Non-convex Empirical Risk Minimization cites this paper.

Decentralized Stochastic Gradient Tracking for Non-convex Empirical Risk Minimization Fully Asynchronous Distributed Optimization with Linear Convergence in Directed Networks

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-14T04:53:10.151121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T04:53:10.039148Z digest=sha256:84e963226e3f33501a912d6532f1ac25ce265a18aeade664f2d2b267376094d1

Observation 86e36a01-5e9a-4af2-afd9-dc75f89b8642 · inbound

Asynchronous Decentralized SGD under Non-Convexity: A Block-Coordinate Descent Framework cites this paper.

Asynchronous Decentralized SGD under Non-Convexity: A Block-Coordinate Descent Framework Fully Asynchronous Distributed Optimization with Linear Convergence in Directed Networks

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T21:29:41.266949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:29:41.266949Z digest=sha256:a8b3f0484ca7d95bf57cf33eefb29e917f182b4173955195cb4d14221b371a82