Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tails
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2304.01119.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T11:35:29.718613Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T16:42:39.838875Z
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 6eecd9a1-45f0-4d88-a812-2f4f22e93e26 · inbound
Sign Operator for Coping with Heavy-Tailed Noise in Non-Convex Optimization: High Probability Bounds Under $(L_0, L_1)$-Smoothness cites this paper.
Sign Operator for Coping with Heavy-Tailed Noise in Non-Convex Optimization: High Probability Bounds Under $(L_0, L_1)$-Smoothness Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tails
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T11:35:29.718613Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation caa17b06-7462-47d7-9c44-36eb67061e40 · inbound
High Probability Convergence of Distributed Clipped Stochastic Gradient Descent with Heavy-tailed Noise cites this paper.
High Probability Convergence of Distributed Clipped Stochastic Gradient Descent with Heavy-tailed Noise Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tails
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:15:01.516951Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1775676e-0b5b-47bb-8c8a-545412243003 · inbound
Unified High-Probability Analysis of Stochastic Variance-Reduced Estimation cites this paper.
Unified High-Probability Analysis of Stochastic Variance-Reduced Estimation Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tails
Reference 109
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:42:39.840288Z
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.
Observation 80ed72d6-afec-4d1f-9792-0258a9d40a7e · inbound
The Convergence Behavior of Adam under Heavy-Tailed Noise cites this paper.
The Convergence Behavior of Adam under Heavy-Tailed Noise Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tails
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:37:46.945761Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5bc3bb81-7dd4-4301-b9cb-1ed16a0eff20 · inbound
The Convergence Behavior of Adam under Heavy-Tailed Noise cites this paper.
The Convergence Behavior of Adam under Heavy-Tailed Noise Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tails
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T03:30:54.224484Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.