Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Stochastic Nonsmooth Convex Optimization with Heavy-Tailed Noises: High-Probability Bound, In-Expectation Rate and Initial Distance Adaptation
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2303.12277.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T00:23:05.269460Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T18:40:02.586537Z
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 9b9e4e8e-941d-4737-9bfa-7d0161702bc8 · inbound
Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping cites this paper.
Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping Stochastic Nonsmooth Convex Optimization with Heavy-Tailed Noises: High-Probability Bound, In-Expectation Rate and Initial Distance Adaptation
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:23:05.269460Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35ab731c-3735-46e6-ac27-b2b4b66e3ec7 · inbound
DADA: Dual Averaging with Distance Adaptation cites this paper.
DADA: Dual Averaging with Distance Adaptation Stochastic Nonsmooth Convex Optimization with Heavy-Tailed Noises: High-Probability Bound, In-Expectation Rate and Initial Distance Adaptation
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:55:24.873247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b45224a2-d311-4985-a6bc-cb8f1e308133 · inbound
Randomized Feasibility Methods for Constrained Optimization with Adaptive Step Sizes cites this paper.
Randomized Feasibility Methods for Constrained Optimization with Adaptive Step Sizes Stochastic Nonsmooth Convex Optimization with Heavy-Tailed Noises: High-Probability Bound, In-Expectation Rate and Initial Distance Adaptation
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T07:44:27.466206Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3cfcbac-3dea-4a16-9c9e-225d03a53060 · inbound
Statistical Inference for Stochastic Gradient Descent: Beyond Finite Variance cites this paper.
Statistical Inference for Stochastic Gradient Descent: Beyond Finite Variance Stochastic Nonsmooth Convex Optimization with Heavy-Tailed Noises: High-Probability Bound, In-Expectation Rate and Initial Distance Adaptation
Reference 18
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T20:13:58.895735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d4b26d9e-e99e-45a2-a550-e7221c052180 · inbound
Statistical Inference for Stochastic Gradient Descent: Beyond Finite Variance cites this paper.
Statistical Inference for Stochastic Gradient Descent: Beyond Finite Variance Stochastic Nonsmooth Convex Optimization with Heavy-Tailed Noises: High-Probability Bound, In-Expectation Rate and Initial Distance Adaptation
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T00:56:16.940637Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f44b1ceb-7138-43e1-94f0-4acf2e179c72 · inbound
In-Expectation Convergence of Stochastic Gradient Methods under Heavy-Tailed Noise cites this paper.
In-Expectation Convergence of Stochastic Gradient Methods under Heavy-Tailed Noise Stochastic Nonsmooth Convex Optimization with Heavy-Tailed Noises: High-Probability Bound, In-Expectation Rate and Initial Distance Adaptation
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-28T20:32:37.674524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 58844b60-4f15-4590-8b7a-6c067e0aa97b · inbound
Online Distributional Prediction via Latent Cluster Geometry Under Drift and Corruption cites this paper.
Online Distributional Prediction via Latent Cluster Geometry Under Drift and Corruption Stochastic Nonsmooth Convex Optimization with Heavy-Tailed Noises: High-Probability Bound, In-Expectation Rate and Initial Distance Adaptation
Reference 60
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T23:39:03.773339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e292ce47-6fb4-450d-9e70-4c0a1e6a2426 · inbound
New Bounds for the Last Iterate of the Stochastic subGradient Method cites this paper.
New Bounds for the Last Iterate of the Stochastic subGradient Method Stochastic Nonsmooth Convex Optimization with Heavy-Tailed Noises: High-Probability Bound, In-Expectation Rate and Initial Distance Adaptation
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T18:40:02.588304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.