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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2507.05669.

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

pith.paper-citation-record.v1
2507.05669 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:33:25.017987Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved8
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a85dac2d-d882-4a52-8966-e1b8df5f9ed4 · outbound

This paper cites Advances in neural information processing systems28 (2015).

A Fully Adaptive Frank-Wolfe Algorithm for Relatively Smooth Problems and Its Application to Centralized Distributed Optimization Advances in neural information processing systems28 (2015)

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2b8266af-fca2-4e51-951b-99a26745cf19 · outbound

This paper cites Mathematics of Operations Research 42(2), 330–348 (2017).

A Fully Adaptive Frank-Wolfe Algorithm for Relatively Smooth Problems and Its Application to Centralized Distributed Optimization Mathematics of Operations Research 42(2), 330–348 (2017)

Reference 2

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raw_fallback, observed 2026-08-06T19:33:33.467272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 90608f69-5801-4ab7-aa9a-d4636ea4739c · outbound

This paper cites In: International Conference on Optimization and Applications.

A Fully Adaptive Frank-Wolfe Algorithm for Relatively Smooth Problems and Its Application to Centralized Distributed Optimization In: International Conference on Optimization and Applications

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4dedf396-6dfa-49f3-9a7f-0d7cd1b3ca58 · outbound

This paper cites Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities.

A Fully Adaptive Frank-Wolfe Algorithm for Relatively Smooth Problems and Its Application to Centralized Distributed Optimization Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b5a8763d-dff2-417d-b0da-11ed296cef78 · outbound

This paper cites 4OR19, 313–345 (2021).

A Fully Adaptive Frank-Wolfe Algorithm for Relatively Smooth Problems and Its Application to Centralized Distributed Optimization 4OR19, 313–345 (2021)

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 23590aa4-78db-4c2b-b624-3f349486421e · outbound

This paper cites Conditional Gradient Methods.

A Fully Adaptive Frank-Wolfe Algorithm for Relatively Smooth Problems and Its Application to Centralized Distributed Optimization Conditional Gradient Methods

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 886c0416-5275-4ce9-80ef-5afbf0f402f8 · outbound

This paper cites Operations Research Letters49(4), 565–571 (2021).

A Fully Adaptive Frank-Wolfe Algorithm for Relatively Smooth Problems and Its Application to Centralized Distributed Optimization Operations Research Letters49(4), 565–571 (2021)

Reference 7

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Unavailable: canonical work link unavailable.

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Observation 2dac97de-8b7a-4809-9159-d13dded1428d · outbound

This paper cites The annals of statistics 19(4), 2032–2066 (1991).

A Fully Adaptive Frank-Wolfe Algorithm for Relatively Smooth Problems and Its Application to Centralized Distributed Optimization The annals of statistics 19(4), 2032–2066 (1991)

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 440b6241-c397-4df8-9cb5-aab08db582fa · outbound

This paper cites JournalofOptimizationTheory andApplications 189,341–363 (2021) 20 A.

A Fully Adaptive Frank-Wolfe Algorithm for Relatively Smooth Problems and Its Application to Centralized Distributed Optimization JournalofOptimizationTheory andApplications 189,341–363 (2021) 20 A

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 26730c79-5a87-4a8e-bfa7-e1a686cea387 · outbound

This paper cites Naval re- search logistics quarterly3(1-2), 95–110 (1956).

A Fully Adaptive Frank-Wolfe Algorithm for Relatively Smooth Problems and Its Application to Centralized Distributed Optimization Naval re- search logistics quarterly3(1-2), 95–110 (1956)

Reference 10

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Unavailable: canonical work link unavailable.

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Observation ea5ed8fe-6b95-45e5-b7e4-65655d1d9831 · outbound

This paper cites KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey.

A Fully Adaptive Frank-Wolfe Algorithm for Relatively Smooth Problems and Its Application to Centralized Distributed Optimization KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey

Reference 11

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Unavailable: canonical work link unavailable.

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Observation 4f5fb040-6196-4c22-bedb-7fbe8275ac71 · outbound

This paper cites Computational Optimization and Applications 79, 405–440 (2021).

A Fully Adaptive Frank-Wolfe Algorithm for Relatively Smooth Problems and Its Application to Centralized Distributed Optimization Computational Optimization and Applications 79, 405–440 (2021)

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8326b273-ae69-4d53-94fc-4d2deba10f2f · outbound

This paper cites In: International conference on machine learning.

A Fully Adaptive Frank-Wolfe Algorithm for Relatively Smooth Problems and Its Application to Centralized Distributed Optimization In: International conference on machine learning

Reference 13

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raw_fallback, observed 2026-08-06T19:33:27.832174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:33:24.292630Z digest=sha256:bdc052912724e0511b055713cfd6903f0304ade43edb162c9ca57a381e535b80

Observation dc9e391a-92d7-442d-a21a-7c824c2dcc96 · outbound

This paper cites USSR Computa- tional mathematics and mathematical physics6(5), 1–50 (1966).

A Fully Adaptive Frank-Wolfe Algorithm for Relatively Smooth Problems and Its Application to Centralized Distributed Optimization USSR Computa- tional mathematics and mathematical physics6(5), 1–50 (1966)

Reference 14

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Unavailable: canonical work link unavailable.

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Observation e319a954-1777-45a1-b566-80197186c380 · outbound

This paper cites SIAM Journal on Optimization28(1), 333–354 (2018).

A Fully Adaptive Frank-Wolfe Algorithm for Relatively Smooth Problems and Its Application to Centralized Distributed Optimization SIAM Journal on Optimization28(1), 333–354 (2018)

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 62e48235-2f37-48b4-b630-68d616ae224d · outbound

This paper cites In: International conference on artificial intelligence and statistics.

A Fully Adaptive Frank-Wolfe Algorithm for Relatively Smooth Problems and Its Application to Centralized Distributed Optimization In: International conference on artificial intelligence and statistics

Reference 16

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Unavailable: canonical work link unavailable.

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Observation 2ad48f9b-3f47-4b45-8ebe-4cd963fceaaf · outbound

This paper cites In: Optimiza- tion and Applications: 12th International Conference, OPTIMA 2021, Petrovac, Montenegro, September 27–October 1, 2021, Proceedings 12.

A Fully Adaptive Frank-Wolfe Algorithm for Relatively Smooth Problems and Its Application to Centralized Distributed Optimization In: Optimiza- tion and Applications: 12th International Conference, OPTIMA 2021, Petrovac, Montenegro, September 27–October 1, 2021, Proceedings 12

Reference 17

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 48d91d69-f35c-459b-8d7b-b50d9a46f68b · outbound

This paper cites In: International conference on machine learning.

A Fully Adaptive Frank-Wolfe Algorithm for Relatively Smooth Problems and Its Application to Centralized Distributed Optimization In: International conference on machine learning

Reference 18

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raw_fallback, observed 2026-08-06T19:33:26.770090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:33:24.652267Z digest=sha256:54536e644f825f4273624d77adc91426b3d8bbebea33fa48143c2322c3fab8ba

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

This paper cites Fast Frank--Wolfe Algorithms with Adaptive Bregman Step-Size for Weakly Convex Functions.

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

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Unavailable: canonical work link unavailable.

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Observation f0ee8468-d7f8-4252-90de-eee60939c03b · outbound

This paper cites In: International Conference on Artificial Intelligence and Statistics.

A Fully Adaptive Frank-Wolfe Algorithm for Relatively Smooth Problems and Its Application to Centralized Distributed Optimization In: International Conference on Artificial Intelligence and Statistics

Reference 20

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Observation da41dd46-4a57-49a6-af47-58c693dfe7e9 · outbound

This paper cites an unresolved cited work.

A Fully Adaptive Frank-Wolfe Algorithm for Relatively Smooth Problems and Its Application to Centralized Distributed Optimization Unresolved cited work

Reference 21

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ba59ef71-8286-499c-9623-e7c6b1c78549 · outbound

This paper cites IEEE Transactions on Automatic Control 62(11), 5522–5537 (2017).

A Fully Adaptive Frank-Wolfe Algorithm for Relatively Smooth Problems and Its Application to Centralized Distributed Optimization IEEE Transactions on Automatic Control 62(11), 5522–5537 (2017)

Reference 22

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raw_fallback, observed 2026-08-06T19:33:25.821227Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

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