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Paper Citation Record · LEDGER

A Decentralized Proximal Point-type Method for Saddle Point Problems

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1910.14380.

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

pith.paper-citation-record.v1
1910.14380 v1

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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:15:40.988300Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T14:28:38.544021Z

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 1834d858-a2b4-400f-b2a6-d1e41b7bb629 · inbound

Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach cites this paper.

Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach A Decentralized Proximal Point-type Method for Saddle Point Problems

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-05T22:15:40.988300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:15:40.988300Z digest=sha256:3adaa4502dad1ba693dcc650323de00f78bf9ca72933e60b77ed6e2fd8fdd400

Observation 27442e3e-5045-4855-9a16-4012cfab0f40 · inbound

An Optimistic Gradient Tracking Method for Distributed Minimax Optimization cites this paper.

An Optimistic Gradient Tracking Method for Distributed Minimax Optimization A Decentralized Proximal Point-type Method for Saddle Point Problems

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:28:38.653026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-05T14:28:37.238084Z digest=sha256:ed811b7d69872db1b5256cc164cdd5e004fbea348834b765cf0d248ac93b6516