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Paper Citation Record · LEDGER

Optimizing $(L_0, L_1)$-Smooth Functions by Gradient Methods

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.10800.

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

pith.paper-citation-record.v1
2410.10800 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T12:39:01.193581Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:55:24.879897Z

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 8d733a44-e50c-4d27-9e5a-192df14aa794 · inbound

DADA: Dual Averaging with Distance Adaptation cites this paper.

DADA: Dual Averaging with Distance Adaptation Optimizing $(L_0, L_1)$-Smooth Functions by Gradient Methods

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:55:24.882213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T04:54:12.210472Z digest=sha256:5bb9c3366d9f887af67c86c3964f3dcebea2d731ea47d5734d0e431d57165336

Observation a80581cf-2114-4a12-88fb-cf5e581d546b · inbound

Why Do We Need Warm-up? A Theoretical Perspective cites this paper.

Why Do We Need Warm-up? A Theoretical Perspective Optimizing $(L_0, L_1)$-Smooth Functions by Gradient Methods

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-04T12:39:01.193581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T12:39:01.193581Z digest=sha256:a777a1caa20ef592b9b7398932ec69e95dbc0e6299c70f70b4e23d34f6e1375c

Observation 87e812ba-6da8-4536-8292-d8bf14d87d7f · inbound

Non-Euclidean SGD for Structured Optimization: Unified Analysis and Improved Rates cites this paper.

Non-Euclidean SGD for Structured Optimization: Unified Analysis and Improved Rates Optimizing $(L_0, L_1)$-Smooth Functions by Gradient Methods

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-03T22:20:05.638577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T22:20:05.638577Z digest=sha256:49aeee6b6a0286bed911af68a4cb669ea79cf3348560f3ba99918775265141af

Observation d41bc6a6-fd21-4c29-a971-c4e302ec131c · inbound

Muon Does Not Converge on Convex Lipschitz Functions cites this paper.

Muon Does Not Converge on Convex Lipschitz Functions Optimizing $(L_0, L_1)$-Smooth Functions by Gradient Methods

Reference 91

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:41:37.959062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T02:22:01.364777Z digest=sha256:7fa9f8b19664f6801c3a2246cdc4a55799efe36c44fb22cd53339586f3b4d407

Observation b3ca4ac1-a5b1-40d8-ba1e-acce49d4565f · inbound

Constrained Stochastic Spectral Preconditioning Converges for Nonconvex Objectives cites this paper.

Constrained Stochastic Spectral Preconditioning Converges for Nonconvex Objectives Optimizing $(L_0, L_1)$-Smooth Functions by Gradient Methods

Reference 64

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:37:19.247501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T05:34:48.195468Z digest=sha256:b89bd988a21962eee85071cc49a4b056beadc92890d464d653e09a307b160f6e

Observation e1ae0299-2094-48ea-a0e1-9ff951429c5e · inbound

Normalized First-Order Methods for Convex (L0, L1)-Smooth Optimization with Inexact Gradients cites this paper.

Normalized First-Order Methods for Convex (L0, L1)-Smooth Optimization with Inexact Gradients Optimizing $(L_0, L_1)$-Smooth Functions by Gradient Methods

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-30T15:28:01.814241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T15:28:01.814241Z digest=sha256:b56bb89d29ad487e0cded085c187f0753b74de8ed770231561572312de212372