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Paper Citation Record · LEDGER

Understanding the PDHG Algorithm via High-Resolution Differential Equations

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.11139.

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

pith.paper-citation-record.v1
2403.11139 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:15:55.154752Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T02:54:10.174338Z

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 ec57b7e4-3fad-4362-9280-a9a143c8dbee · inbound

Preconditioned primal-dual dynamics in convex optimization: non-ergodic convergence rates cites this paper.

Preconditioned primal-dual dynamics in convex optimization: non-ergodic convergence rates Understanding the PDHG Algorithm via High-Resolution Differential Equations

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T12:15:55.154752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:15:55.154752Z digest=sha256:fc86a583823f037581db3d001fd530973802593ca9f9d1a7bb9d4fb8c16f578b

Observation 648024c3-d4bb-4cbb-9a96-05d0ed125183 · inbound

Modern Theory of Gradient-Based Optimization cites this paper.

Modern Theory of Gradient-Based Optimization Understanding the PDHG Algorithm via High-Resolution Differential Equations

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-30T02:54:10.180535Z

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=2026-06-30T02:50:56.008589Z digest=sha256:7e09c4108ff0f53e9af907cd169b6de7a286f70e9ce52c94358bc15d4e886d1d