Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2208.06677.
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 2026-08-06T16:35:28.532952Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T17:09:58.384213Z
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 fb70787c-0323-49ef-94cc-932f3f0892e3 · inbound
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models cites this paper.
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T13:43:11.121961Z
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 3f0737c7-7c49-4e11-bf7c-d535203553ea · inbound
Training LLMs on HPC Systems: Best Practices from the OpenGPT-X Project cites this paper.
Training LLMs on HPC Systems: Best Practices from the OpenGPT-X Project Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T21:05:09.634243Z
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 06538b10-47ee-4063-8a74-8364fe70d00d · inbound
Leveraging Language Prior for Infrared Small Target Detection cites this paper.
Leveraging Language Prior for Infrared Small Target Detection Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:35:28.532952Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5ad722e-2792-4d39-addb-5089235bcfdc · inbound
Uncovering Latent Structures in Robust Pulse Sequences: A Model-Based Reinforcement Learning Approach for Adaptable Quantum Control cites this paper.
Uncovering Latent Structures in Robust Pulse Sequences: A Model-Based Reinforcement Learning Approach for Adaptable Quantum Control Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T17:09:58.386091Z
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 1e380449-eafe-4d0e-9834-10e13797475a · inbound
Unified convergence analysis for gradient descent optimization methods in the training of deep neural networks cites this paper.
Unified convergence analysis for gradient descent optimization methods in the training of deep neural networks Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T20:46:05.467029Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.