Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.03982.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T00:25:45.103516Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T23:47:28.516632Z
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 d864100a-7510-46ea-9ce3-80694e8312a1 · inbound
Power of Generalized Smoothness in Stochastic Convex Optimization: First- and Zero-Order Algorithms cites this paper.
Power of Generalized Smoothness in Stochastic Convex Optimization: First- and Zero-Order Algorithms On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T00:25:45.103516Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a4893c6-141d-457a-bd52-17523901a20d · inbound
Simple Convergence Proof of Adam From a Sign-like Descent Perspective cites this paper.
Simple Convergence Proof of Adam From a Sign-like Descent Perspective On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:25:24.849410Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aef5e537-b67a-4191-baf8-44b8ee68e314 · inbound
SoftSignSGD(S3): An Enhanced Optimizer for Practical DNN Training and Loss Spikes Minimization Beyond Adam cites this paper.
SoftSignSGD(S3): An Enhanced Optimizer for Practical DNN Training and Loss Spikes Minimization Beyond Adam On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:10:16.619880Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7184af3-9835-412d-9c07-b2b85d6f49d4 · inbound
Why Adam Can Beat SGD: Second-Moment Normalization Yields Sharper Tails cites this paper.
Why Adam Can Beat SGD: Second-Moment Normalization Yields Sharper Tails On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T16:36:17.485569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 929c9d95-91a4-4a30-804e-abe68b840ae2 · inbound
Why Adam Can Beat SGD: Second-Moment Normalization Yields Sharper Tails cites this paper.
Why Adam Can Beat SGD: Second-Moment Normalization Yields Sharper Tails On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T11:50:03.758150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0274dbcb-b05a-4548-adde-72110393bcae · inbound
OptMuon: Closed-Loop Orthogonalized Momentum Methods for Stochastic Optimization with Zero-Noise Optimality cites this paper.
OptMuon: Closed-Loop Orthogonalized Momentum Methods for Stochastic Optimization with Zero-Noise Optimality On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions
Reference 79
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T23:47:28.518041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 94102910-f85c-440e-bea0-d997aa970d36 · inbound
OptMuon: Closed-Loop Orthogonalized Momentum Methods for Stochastic Optimization with Zero-Noise Optimality cites this paper.
OptMuon: Closed-Loop Orthogonalized Momentum Methods for Stochastic Optimization with Zero-Noise Optimality On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions
Reference 85
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T05:43:08.866575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.