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Paper Citation Record · LEDGER

The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.02002.

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

pith.paper-citation-record.v1
2502.02002 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T14:45:40.105955Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z

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 403478f8-df3f-4331-bb66-d175690e9265 · inbound

A smoothing moving balls approximation method for a class of conic-constrained difference-of-convex optimization problems cites this paper.

A smoothing moving balls approximation method for a class of conic-constrained difference-of-convex optimization problems The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-22T14:46:41.264288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T14:45:40.105955Z digest=sha256:001ef10068c1d20a74146acee23f2df6514db302c8279b10af4b4a3bf381e3ff

Observation 54e23438-7902-44f7-b5e6-16cb45506c53 · inbound

Stabilized Proximal Point Method via Trust Region Control cites this paper.

Stabilized Proximal Point Method via Trust Region Control The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T18:33:06.570146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T18:31:22.573491Z digest=sha256:3381a9a342347edddc0e831f2edef2af709bfca9f5dd9a09dda0856509fc020a

Observation a58a6215-de72-4a6c-bf0d-f71be83c80a2 · inbound

Ball-proximal point method on a Hadamard Manifolds cites this paper.

Ball-proximal point method on a Hadamard Manifolds The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:26:18.195987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-07T15:19:10.621991Z digest=sha256:7d7ec15df8566b8eb33ea3a24b23fefe700c506c3648d87ebbec7b8bfbc40d66

Observation 40aa9008-d05e-4f71-becc-688934430caa · inbound

Local LMO: Constrained Gradient Optimization via a Local Linear Minimization Oracle cites this paper.

Local LMO: Constrained Gradient Optimization via a Local Linear Minimization Oracle The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:06:29.073119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T01:18:15.063363Z digest=sha256:b31262b1d3d1cd921c51b87a4589ae41842ea3161a9f3391599123e2ab9e9458

Observation 04ecf72a-d389-45a2-82db-d8559bb02907 · inbound

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity cites this paper.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:50.833454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T19:31:12.149482Z digest=sha256:af8278aa52f8574d978a9893a50298e05015b5b48c50ba70422e05081c22c859