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Paper Citation Record · LEDGER

On the local convergence of the semismooth Newton method for composite optimization

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2211.01127.

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

pith.paper-citation-record.v1
2211.01127 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:30:36.932221Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T20:07:02.579480Z

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 d6835e24-025a-47fb-8099-21ed75ee35fa · inbound

On the resolution of $\ell_1$-norm minimization via a two-metric adaptive projection method cites this paper.

On the resolution of $\ell_1$-norm minimization via a two-metric adaptive projection method On the local convergence of the semismooth Newton method for composite optimization

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-22T20:07:02.581772Z

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=2026-05-22T20:05:17.815467Z digest=sha256:0674814ce339f71bf075e94c4feab8c8898001a2342ddf41d48c331c670fb37d

Observation 1f110a6d-5039-4172-a3fe-5ee7b3076db6 · inbound

A Globalized Semismooth Newton Method for Prox-regular Optimization Problems cites this paper.

A Globalized Semismooth Newton Method for Prox-regular Optimization Problems On the local convergence of the semismooth Newton method for composite optimization

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T05:09:46.049063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:09:46.049063Z digest=sha256:a57a1bc5bb5e12bf40dccfe4935aed62c49c006dfb46207a0759d47d675c4ca1

Observation c4201110-457c-4296-87c6-c4e3be6147da · inbound

Stochastic Saddle Avoidance Beyond Unit Excitation and Smoothness: A Pathwise Lyapunov-Perron Framework cites this paper.

Stochastic Saddle Avoidance Beyond Unit Excitation and Smoothness: A Pathwise Lyapunov-Perron Framework On the local convergence of the semismooth Newton method for composite optimization

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-08T04:30:36.932221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:30:36.932221Z digest=sha256:150e95646007f530cad798ce694d8ce8880d5b9f80dcbbbce5fe0e54db6ff0bf