Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1905.10899.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:26:56.586164Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T17:04:57.680200Z
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 56870fee-18e1-4c0a-af58-1e3cb5bd665c · inbound
Last-Iterate Convergence of Anchored Gradient Descent cites this paper.
Last-Iterate Convergence of Anchored Gradient Descent ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T08:56:03.091058Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation da0b9c89-1c4d-4b42-8121-cb758570801d · inbound
MCPO: Mastery-Consolidated Policy Optimization for Large Reasoning Models cites this paper.
MCPO: Mastery-Consolidated Policy Optimization for Large Reasoning Models ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T07:06:52.774614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 79e1ac79-8dd0-4df8-9659-01f2f5fa5843 · inbound
Advancing Mathematics Research with AI-Driven Formal Proof Search cites this paper.
Advancing Mathematics Research with AI-Driven Formal Proof Search ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T05:11:06.239595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 14d4f3ac-aa86-4343-a039-64400fce8ab2 · inbound
Advancing Mathematics Research with AI-Driven Formal Proof Search cites this paper.
Advancing Mathematics Research with AI-Driven Formal Proof Search ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T17:04:57.681547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6344f254-a29e-4b17-b76e-4d04d74176f0 · inbound
Last-Iterate Convergence of Single-Loop Stochastic Methods for Constrained Convex-Concave Minimax Problems cites this paper.
Last-Iterate Convergence of Single-Loop Stochastic Methods for Constrained Convex-Concave Minimax Problems ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T07:22:06.889795Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0f45aec-8c72-42d0-b3cd-b79c5aab2530 · inbound
Halpern Iteration Achieves $\tilde{\mathcal{O}}(\epsilon^{-1/p})$ $p$th-Order Oracle Complexity for Monotone Variational Inequalities cites this paper.
Halpern Iteration Achieves $\tilde{\mathcal{O}}(\epsilon^{-1/p})$ $p$th-Order Oracle Complexity for Monotone Variational Inequalities ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:48:52.464760Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 537882a6-227c-4629-8378-c86820f1b1d7 · inbound
Direct Acceleration of Stochastic Root-Finding Without Variance Reduction and Regularization cites this paper.
Direct Acceleration of Stochastic Root-Finding Without Variance Reduction and Regularization ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:26:56.586164Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.