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Paper Citation Record · LEDGER

Fast Frank--Wolfe Algorithms with Adaptive Bregman Step-Size for Weakly Convex Functions

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.04330.

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

pith.paper-citation-record.v1
2504.04330 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:36:21.860248Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T20:20:34.598381Z

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 042e6104-1cb9-400d-be90-662e561bb9bc · inbound

Convergence of linesearch-based generalized conditional gradient methods without smoothness assumptions cites this paper.

Convergence of linesearch-based generalized conditional gradient methods without smoothness assumptions Fast Frank--Wolfe Algorithms with Adaptive Bregman Step-Size for Weakly Convex Functions

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T04:36:21.860248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:36:21.860248Z digest=sha256:06cd1d0e9122f2a1dddfc4b35c5841f887a5cdd8d9095be6cafb7404076ec8a7

Observation 113967f5-794d-4d37-b7c4-776d7fbdc31b · inbound

A Fully Adaptive Frank-Wolfe Algorithm for Relatively Smooth Problems and Its Application to Centralized Distributed Optimization cites this paper.

A Fully Adaptive Frank-Wolfe Algorithm for Relatively Smooth Problems and Its Application to Centralized Distributed Optimization Fast Frank--Wolfe Algorithms with Adaptive Bregman Step-Size for Weakly Convex Functions

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T19:33:24.705134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:33:24.705134Z digest=sha256:36c71dfec4b7fb2c8274e7180b79d90bed23ba52a8c8cb228ca2a2ac25a646c9

Observation 80ac2034-a0d1-4ea3-8d9b-308992d90748 · inbound

Frank-Wolfe Algorithms for (L0, L1)-smooth functions cites this paper.

Frank-Wolfe Algorithms for (L0, L1)-smooth functions Fast Frank--Wolfe Algorithms with Adaptive Bregman Step-Size for Weakly Convex Functions

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-24T02:22:52.742966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T06:18:52.290660Z digest=sha256:acaf551c8ecb78aa9386d05b8d9a49eef87e228468c97b2cad3a2f3f9bf543ac

Observation 2beab8bb-6443-48b9-a597-125b51ce95ce · inbound

Frank-Wolfe Algorithms for (L0, L1)-smooth functions cites this paper.

Frank-Wolfe Algorithms for (L0, L1)-smooth functions Fast Frank--Wolfe Algorithms with Adaptive Bregman Step-Size for Weakly Convex Functions

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-24T02:22:52.742966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T20:19:34.726206Z digest=sha256:f04b8f692e69450979832937e00edff70ad2c5a601a0f609ce69de8ffa39951d