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Paper Citation Record · LEDGER

Primal-dual stochastic gradient method for convex programs with many functional constraints

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1802.02724.

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

pith.paper-citation-record.v1
1802.02724 v2

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:09:34.397202Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T10:22:25.816867Z

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 bb8c759c-4475-4990-83f7-3aeb1de25150 · inbound

Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints cites this paper.

Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Primal-dual stochastic gradient method for convex programs with many functional constraints

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-14T15:09:34.397202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:09:34.397202Z digest=sha256:142ac9719593d29fa04671b9a961c99b5c8547f5508167b720fb54ebb1889262

Observation 377d0eec-cb6e-4252-9fe2-d7259cc6c1c2 · inbound

Inexact Proximal-Point Penalty Methods for Constrained Non-Convex Optimization cites this paper.

Inexact Proximal-Point Penalty Methods for Constrained Non-Convex Optimization Primal-dual stochastic gradient method for convex programs with many functional constraints

Reference 74

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T10:22:25.821464Z

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.

source=pdf_text observed=2026-08-14T10:22:25.721681Z digest=sha256:f614f7f686f482b83a6aab95b9c362744adbca810fa99415e53180db3a55f574