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Paper Citation Record · LEDGER

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization

As of 19 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2505.23056.

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

pith.paper-citation-record.v1
2505.23056 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:07:45.038972Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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 fuzzy11
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ddb4126b-60c6-46f0-8dad-213d711aa0a6 · outbound

This paper cites an unresolved cited work.

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:07:47.034575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b9d3cf3b-cc2a-47ee-92f5-4a7c1f784e61 · outbound

This paper cites cc/paper_files/paper/2020/file/ 2e2c4bf7ceaa4712a72dd5ee136dc9a8- Paper.pdf.

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization cc/paper_files/paper/2020/file/ 2e2c4bf7ceaa4712a72dd5ee136dc9a8- Paper.pdf

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:07:48.948896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:07:43.270910Z digest=sha256:f3f8234e7fba7ca2cc10196df2d8183594213985e30cb32adc419c069d275af2

Observation 15f4dabc-f8ce-44d2-ad16-f081f6842e60 · outbound

This paper cites v1fi(t)(z) + tX s=1 (vs+1 − vs)fi(t)(xs) − vt+1f (zt+1) # (b) = TX t=1 γtηt.

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization v1fi(t)(z) + tX s=1 (vs+1 − vs)fi(t)(xs) − vt+1f (zt+1) # (b) = TX t=1 γtηt

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:07:46.597097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:07:44.701618Z digest=sha256:1c386c01b227c37aaf068854ab7cf9bdcdcd2439daefba97cbdb68b012a631b2

Observation e86cf782-27fb-406d-848c-982168889d7f · outbound

This paper cites Characterizing & Finding Good Data Orderings for Fast Convergence of Sequential Gradient Methods.

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization Characterizing & Finding Good Data Orderings for Fast Convergence of Sequential Gradient Methods

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T13:07:43.756190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:07:43.756190Z digest=sha256:7f3d935cae1ec671d4999f93c1146eb54f8c026882b6d40e5fc738ec4cbd2aba

Observation ff8e7e0b-f911-40ab-9e69-de10017a5006 · outbound

This paper cites Random Reshuffling with Momentum: Complexity Bounds and Last-iterate Convergence.

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization Random Reshuffling with Momentum: Complexity Bounds and Last-iterate Convergence

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T13:07:45.443825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:07:43.932155Z digest=sha256:37f66eba145c819d19e9d96a6eaa5954571a45555aba3e05da6cd66693015a39

Observation c0079134-3990-40d2-8116-d96e1dae308d · outbound

This paper cites Rajput, S., Lee, K., and Papailiopoulos, D.

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization Rajput, S., Lee, K., and Papailiopoulos, D

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:07:48.174382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:07:44.015474Z digest=sha256:012510074e42890361c876f322ab4fd7076fd45123571bb6d73e9593b00ef752

Observation ac5d38e6-80ad-48a1-b984-13646c27af95 · outbound

This paper cites Safran, I.

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization Safran, I

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:07:47.902553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:07:44.116729Z digest=sha256:c5cbc82582c7f330ce1ddd4e80a54d22b2c8a1e8ead0f9c8c95326ecdf93f493

Observation 7b1ed153-35f7-4352-9d71-01c641fd69bc · outbound

This paper cites cc/paper_files/paper/2021/file/ 107030ca685076c0ed5e054e2c3ed940- Paper.pdf.

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization cc/paper_files/paper/2021/file/ 107030ca685076c0ed5e054e2c3ed940- Paper.pdf

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:07:47.492327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:07:44.311893Z digest=sha256:8dc01a6e40398bc3a2873c652afa8348f37c2e103dcff65d8ba0dcc7d0259dc0

Observation 301484d6-f0c7-49e8-8b58-da32245aeb0f · outbound

This paper cites an unresolved cited work.

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:07:47.313240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:07:44.375586Z digest=sha256:a154656b564a02de90bc192a7acc95d308628e48aed616ed602cd99d0ebc93ce

Observation 6730de18-824d-4c37-bf31-80de95a7c58c · outbound

This paper cites High Probability Guarantees for Random Reshuffling.

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization High Probability Guarantees for Random Reshuffling

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T13:07:45.233304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:07:44.471432Z digest=sha256:61c9e9062caa57af97d50ae56850b00834db4105d9e005a1afb89512603903e7

Observation 1837f053-8f02-495b-afa0-bd510cf0dd06 · outbound

This paper cites an unresolved cited work.

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:07:46.830747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:07:44.632690Z digest=sha256:a3aac830484ae09d89443490c6ae54e3eec0da04e09eaca8a95a9cef6fb503be

Observation 9a6b7b10-092a-43b1-8951-7bab5562a0c4 · outbound

This paper cites In contrast, Condition 3 is more artificial and makes the rate depend on a new parameter Gψ.

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization In contrast, Condition 3 is more artificial and makes the rate depend on a new parameter Gψ

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:07:46.388076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 022c5fc8-5018-419b-8cf8-8b700df47644 · outbound

This paper cites an unresolved cited work.

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:07:46.150110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:07:44.863370Z digest=sha256:fda1e85982df28c5f189b0e256e4fd4df9d06d29f252c052261a5a288e3baa56

Observation 9b9ac05a-bfc2-4561-8b80-0e597ee3874e · outbound

This paper cites an unresolved cited work.

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:07:45.958796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5e18d6bd-57f9-4d47-b9da-bb5a2e63706f · outbound

This paper cites an unresolved cited work.

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:07:45.691606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:07:45.038972Z digest=sha256:3428b30552c4dc66b2d020825003e11368c05c49b0cdd1a551f76423befb9d44

Observation 9fd5d9a4-6ffc-481e-a559-fc1ccc41d4ae · outbound

This paper cites Nguyen, L.

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization Nguyen, L

Reference 137

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:07:48.390088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f290bbd3-22dd-4bbc-8a88-f397893dc043 · outbound

This paper cites Bubeck, S.

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization Bubeck, S

Reference 436

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:07:48.799942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 44994c17-28c7-42cb-96e1-1806bd4d6c2c · outbound

This paper cites cc/paper_files/paper/2020/file/ cb8acb1dc9821bf74e6ca9068032d623- Paper.pdf.

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization cc/paper_files/paper/2020/file/ cb8acb1dc9821bf74e6ca9068032d623- Paper.pdf

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:07:49.075830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 84a7f8d8-0633-40d8-a2b5-1697396008e7 · outbound

This paper cites cc/paper_files/paper/2021/file/ 803ef56843860e4a48fc4cdb3065e8ce- Paper.pdf.

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization cc/paper_files/paper/2021/file/ 803ef56843860e4a48fc4cdb3065e8ce- Paper.pdf

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:07:47.724056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9afae420-f153-4eda-b9dd-847475b27e49 · outbound

This paper cites Incremental Methods for Weakly Convex Optimization.

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization Incremental Methods for Weakly Convex Optimization

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T13:07:43.671793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:07:43.671793Z digest=sha256:75f3f1f46fee92ecbd3cbb55c1146262ba3f41795dec02de909a855ba47c5175

Observation 53c1189d-b64f-4e1b-8fce-3739af370e5e · outbound

This paper cites Proximal random reshuffling under local Lipschitz continuity.

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization Proximal random reshuffling under local Lipschitz continuity

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T13:07:43.571006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:07:43.571006Z digest=sha256:89680e09785df5a75b6cae6adf89b3df5ddd8d85445b587073b98b95594f9ac4

Observation 1796f350-4b1d-4f6f-96c7-4cea85355859 · outbound

This paper cites cc/paper_files/paper/2024/file/ 84d395725a9b40cb4a49d84478ac24c7- Paper-Conference.pdf.

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization cc/paper_files/paper/2024/file/ 84d395725a9b40cb4a49d84478ac24c7- Paper-Conference.pdf

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:07:48.686586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Pith citing papers

No inbound Pith citation observations are available.