Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exact convergence rate of the last iterate in subgradient methods
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2307.11134.
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 2026-08-06T21:42:48.196514Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T04:37:36.542213Z
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 2f978e0e-a9be-465e-912e-cdc667bda462 · inbound
Training Deep Learning Models with Norm-Constrained LMOs cites this paper.
Training Deep Learning Models with Norm-Constrained LMOs Exact convergence rate of the last iterate in subgradient methods
Reference 219
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T21:22:37.168853Z
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 24a51a21-9221-4c02-addb-0ecc48c4b659 · inbound
Optimized methods for composite optimization: a reduction perspective cites this paper.
Optimized methods for composite optimization: a reduction perspective Exact convergence rate of the last iterate in subgradient methods
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:42:48.196514Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ece026e4-ea3e-4ee6-a703-85f01bb98c32 · inbound
Fast Last-Iterate Convergence of SGD in the Smooth Interpolation Regime cites this paper.
Fast Last-Iterate Convergence of SGD in the Smooth Interpolation Regime Exact convergence rate of the last iterate in subgradient methods
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:26:08.763414Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21fb4db9-beaf-4fe6-be07-a0986dc2ac29 · inbound
Last-Iterate Complexity of SGD for Convex and Smooth Stochastic Problems cites this paper.
Last-Iterate Complexity of SGD for Convex and Smooth Stochastic Problems Exact convergence rate of the last iterate in subgradient methods
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:19:03.602887Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90df7d6c-f675-451f-a912-b49bbdbd2f20 · inbound
Gradient Descent's Last Iterate is Often (slightly) Suboptimal cites this paper.
Gradient Descent's Last Iterate is Often (slightly) Suboptimal Exact convergence rate of the last iterate in subgradient methods
Reference 29
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T12:30:23.747778Z
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 cc2c8ec3-bb3b-4c01-9169-2fb7b11d270a · inbound
Mirror Descent Beyond Euclidean Stability: An Exponential Separation in Initialization Sensitivity cites this paper.
Mirror Descent Beyond Euclidean Stability: An Exponential Separation in Initialization Sensitivity Exact convergence rate of the last iterate in subgradient methods
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T04:37:36.543966Z
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 c7b26d10-213c-471b-86c3-2813946e0fa6 · inbound
Convergence of Continual Learning in Homogeneous Deep Networks cites this paper.
Convergence of Continual Learning in Homogeneous Deep Networks Exact convergence rate of the last iterate in subgradient methods
Reference 27
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T07:14:21.731466Z
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.