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Paper Citation Record · LEDGER

Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.01052.

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

pith.paper-citation-record.v1
2402.01052 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:15:53.224530Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T18:35:53.945259Z

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 e6662ef6-3fc4-4efd-95c2-cbb10179af32 · inbound

MAP Image Recovery with Guarantees using Locally Convex Multi-Scale Energy (LC-MUSE) Model cites this paper.

MAP Image Recovery with Guarantees using Locally Convex Multi-Scale Energy (LC-MUSE) Model Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-09T05:15:53.224530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:15:53.224530Z digest=sha256:122fbd760cc4e3fca7634179502fff1da1f330309251e1a54776eba967d9b727

Observation 96d485fc-fc7d-4a44-9385-7868b56fcb88 · inbound

Weakly-Convex Regularization for Magnetic Resonance Image Denoising cites this paper.

Weakly-Convex Regularization for Magnetic Resonance Image Denoising Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-05T18:35:54.023222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T18:35:52.729562Z digest=sha256:3108d4e6ac5442c45c1191c7cd477b67eeb300c5f23748a1940fff8c90d04162