Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.01588.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-30T15:28:01.802248Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T13:16:35.004705Z
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 331b3329-c19a-497f-bacb-87ac64163436 · inbound
High-Probability Convergence Guarantees of Decentralized SGD cites this paper.
High-Probability Convergence Guarantees of Decentralized SGD Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T08:46:07.844281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2c37acbc-c3a2-46b8-9d36-0044b011e4a4 · inbound
High-Probability Convergence Guarantees of Decentralized SGD cites this paper.
High-Probability Convergence Guarantees of Decentralized SGD Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T13:16:35.008088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f3ce043e-e6ba-4208-80ef-c2aeb9f3e1e1 · 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 Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T15:28:01.802248Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.