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Paper Citation Record · LEDGER

Lipschitz-Free Mirror Descent Methods for Non-Smooth Optimization Problems

As of 14 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2506.01681.

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

pith.paper-citation-record.v1
2506.01681 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:50:16.687230Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

15 of 15 outbound references displayed

  • verified exact2
  • verified fuzzy9
  • unresolved3
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 25c0b674-7508-4264-b03c-304f6a1e833c · outbound

This paper cites an unresolved cited work.

Lipschitz-Free Mirror Descent Methods for Non-Smooth Optimization Problems Unresolved cited work

Reference 1

Resolution
verified exact
doi, observed 2026-08-07T11:50:16.896446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:50:15.631950Z digest=sha256:f1d2984bda80069fb46b9d28e164a0fb65acbf3f1cd6a7703ba71659d2eca60b

Observation a42eae2e-7dc7-453d-a429-f09f2d9bc76c · outbound

This paper cites an unresolved cited work.

Lipschitz-Free Mirror Descent Methods for Non-Smooth Optimization Problems Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:50:19.638513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:50:15.741635Z digest=sha256:d5539190d15a4391c8daa605263bee4a3649163853fe9bc43a7e5b089ebd7173

Observation 1f024b38-3af0-499b-ab9b-560b66d89d8c · outbound

This paper cites Ekonomika i Matematicheskie Metody, 1979.

Lipschitz-Free Mirror Descent Methods for Non-Smooth Optimization Problems Ekonomika i Matematicheskie Metody, 1979

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:15.816917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:15.816917Z digest=sha256:55801c0ff42c8410055168b3c4afe6e0e9a86c953b08f24b429248650a83e3b3

Observation f6d86544-00c1-4331-bc49-5e983d2ea5d0 · outbound

This paper cites an unresolved cited work.

Lipschitz-Free Mirror Descent Methods for Non-Smooth Optimization Problems Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:50:19.509471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:50:15.905406Z digest=sha256:9bb713bb00b8cd78b4af4bb3cade70441beab7231ec7e3e9935e5491fadcb036

Observation 6407a81f-ca41-4345-bd89-3454c5e4c31a · outbound

This paper cites IEEE Control Systems Letters, 3(1), pp.

Lipschitz-Free Mirror Descent Methods for Non-Smooth Optimization Problems IEEE Control Systems Letters, 3(1), pp

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:19.329370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:50:15.979047Z digest=sha256:758c8c91abfc422e71a32d2ec2c8963fca360f10b2ad095eb71d993f4e3009d7

Observation 0ce74712-be4d-4e8b-abab-731b825d507b · outbound

This paper cites Operations Research Letters, 38(6), pp.

Lipschitz-Free Mirror Descent Methods for Non-Smooth Optimization Problems Operations Research Letters, 38(6), pp

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:19.133116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:50:16.052803Z digest=sha256:71f9fda43b2ccd0fdc307a772d776813e1309d4c6ca814680cb7364f9587bc86

Observation dee28820-22d6-4d06-bfd4-b0f111da5b21 · outbound

This paper cites SIAM Journal on Optimization, 12(1), pp.

Lipschitz-Free Mirror Descent Methods for Non-Smooth Optimization Problems SIAM Journal on Optimization, 12(1), pp

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:18.978006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:50:16.148292Z digest=sha256:d692ab1cfc5402da22530ab21cc97ed1330970a71283447f9be78022a700b2f4

Observation 4ddc7a19-9ce8-4055-8a20-3de65b9a1e90 · outbound

This paper cites European Control Conference (ECC) June, pp.

Lipschitz-Free Mirror Descent Methods for Non-Smooth Optimization Problems European Control Conference (ECC) June, pp

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:18.677533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:50:16.198721Z digest=sha256:d99ce602c93ab390111f89dd6f8a2721d3bd0437d2da5d320bd0ed3b7705122c

Observation 38078a95-4a27-4f3e-a9da-b4ecff92da06 · outbound

This paper cites Nesterov, Introductory lectures on convex optimization: A basic course, Springer Sci- ence & Business Media, 2004.

Lipschitz-Free Mirror Descent Methods for Non-Smooth Optimization Problems Nesterov, Introductory lectures on convex optimization: A basic course, Springer Sci- ence & Business Media, 2004

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:18.317523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:50:16.299703Z digest=sha256:7fcbd76a32281abafc13ccd77c552b3237765b0eb1aa16b1eed5e88fd3a4b45c

Observation b6d4ad6f-e7e0-4c88-a36c-12dc5db93061 · outbound

This paper cites Nesterov, Lectures on convex optimization, volume 137, Springer, 2018.

Lipschitz-Free Mirror Descent Methods for Non-Smooth Optimization Problems Nesterov, Lectures on convex optimization, volume 137, Springer, 2018

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:17.986905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:50:16.370597Z digest=sha256:8569628b19f4a5792528b651683fbae92367b110d19882a4ff95066a2bd29643

Observation 48e6f454-6814-4e65-b934-032d69a942ab · outbound

This paper cites Bubeck, Convex optimization: Algorithms and complexity.

Lipschitz-Free Mirror Descent Methods for Non-Smooth Optimization Problems Bubeck, Convex optimization: Algorithms and complexity

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:17.710122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:50:16.432940Z digest=sha256:fb0a48374cc5db4bec1f6a8471293e521b718f73c4d92c3681df735ff6817534

Observation dec00fab-69ba-4373-9ff3-a6732b45b32c · outbound

This paper cites an unresolved cited work.

Lipschitz-Free Mirror Descent Methods for Non-Smooth Optimization Problems Unresolved cited work

Reference 12

Resolution
malformed identifier
no resolver link, observed 2026-08-07T11:50:16.500345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:16.500345Z digest=sha256:ba53971e9516e65d1e582545f3824c1d9ec8c8b59635819e9ec2421b36996be3

Observation a0d6656b-ce59-4a64-8d1a-f8b1b17f78a7 · outbound

This paper cites an unresolved cited work.

Lipschitz-Free Mirror Descent Methods for Non-Smooth Optimization Problems Unresolved cited work

Reference 13

Resolution
verified exact
raw_fallback, observed 2026-08-07T11:50:17.159723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:50:16.563865Z digest=sha256:e5c697debfe3cc722ae717fdb176fec43d28bb1964484adb0cdeb2faeef5ea32

Observation 50c12598-f11c-444e-9f99-6bb9f945356e · outbound

This paper cites Society for Industrial and Applied Math- ematics, 2017.

Lipschitz-Free Mirror Descent Methods for Non-Smooth Optimization Problems Society for Industrial and Applied Math- ematics, 2017

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:17.526424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:50:16.637988Z digest=sha256:ef7177af5402b5c9821896fd77d62be4863824fe4cd51e0816ded200522afec8

Observation 95f5d5a7-71ed-4dfd-880b-2da38b56bd5e · outbound

This paper cites Lan, First-order and Stochastic Optimization Methods for Machine Learning, Springer-Nature, 2020.

Lipschitz-Free Mirror Descent Methods for Non-Smooth Optimization Problems Lan, First-order and Stochastic Optimization Methods for Machine Learning, Springer-Nature, 2020

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:17.314186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:50:16.687230Z digest=sha256:0b532738fe5b2b5096522d86cd4b62ac3af494b715925afff146cb03d1658da2

Pith citing papers

No inbound Pith citation observations are available.