Paper Citation Record · LEDGER

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2404.00498.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2404.00498 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:38:25.771554Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T14:55:48.645423Z

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 2382fa95-1b18-4f66-810d-81f8640c0665 · inbound

Powerful Design of Small Vision Transformer on CIFAR10 cites this paper.

Powerful Design of Small Vision Transformer on CIFAR10 94% on CIFAR-10 in 3.29 Seconds on a Single GPU

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T21:58:02.243870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab359b07-7176-4d71-b4e8-c1015ab3b9d1 · inbound

FRAIN to Train: A Fast-and-Reliable Solution for Decentralized Federated Learning cites this paper.

FRAIN to Train: A Fast-and-Reliable Solution for Decentralized Federated Learning 94% on CIFAR-10 in 3.29 Seconds on a Single GPU

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T23:38:25.771554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 137b45ff-ff5d-4174-97ec-4afdf47d4731 · inbound

ENSAM: an efficient foundation model for interactive segmentation of 3D medical images cites this paper.

ENSAM: an efficient foundation model for interactive segmentation of 3D medical images 94% on CIFAR-10 in 3.29 Seconds on a Single GPU

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T15:54:27.407415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a174abaf-4661-4db5-8bdd-63d03a40ea14 · inbound

An Embarrassingly Simple Way to Optimize Orthogonal Matrices at Scale cites this paper.

An Embarrassingly Simple Way to Optimize Orthogonal Matrices at Scale 94% on CIFAR-10 in 3.29 Seconds on a Single GPU

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T23:14:14.235337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5338cbd-0f0d-4d19-b014-0fb261c4a963 · inbound

Muon with Nesterov Momentum: Heavy-Tailed Noise and (Randomized) Inexact Polar Decomposition cites this paper.

Muon with Nesterov Momentum: Heavy-Tailed Noise and (Randomized) Inexact Polar Decomposition 94% on CIFAR-10 in 3.29 Seconds on a Single GPU

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:00:56.675159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0d215d74-99ca-47e4-ad0f-9cc9b9eb63ca · inbound

Gradient Clipping Beyond Vector Norms: A Spectral Approach for Matrix-Valued Parameters cites this paper.

Gradient Clipping Beyond Vector Norms: A Spectral Approach for Matrix-Valued Parameters 94% on CIFAR-10 in 3.29 Seconds on a Single GPU

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:02:27.331512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 83f63447-34dc-4721-9571-a8b92ac10152 · inbound

Scale-Invariant Neural Network Optimization: Norm Geometry and Heavy-Tailed Noise cites this paper.

Scale-Invariant Neural Network Optimization: Norm Geometry and Heavy-Tailed Noise 94% on CIFAR-10 in 3.29 Seconds on a Single GPU

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-20T08:53:24.530279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cf45b86a-7681-46cd-a8b5-f30557cc1deb · inbound

Scale-Invariant Neural Network Optimization: Norm Geometry and Heavy-Tailed Noise cites this paper.

Scale-Invariant Neural Network Optimization: Norm Geometry and Heavy-Tailed Noise 94% on CIFAR-10 in 3.29 Seconds on a Single GPU

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:55:48.648154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fcc33051-919c-462f-bf39-13a6c57c2847 · inbound

AgentHPOBench: A Benchmark For Evaluating LLM Agents as Sequential Hyperparameter Optimizers cites this paper.

AgentHPOBench: A Benchmark For Evaluating LLM Agents as Sequential Hyperparameter Optimizers 94% on CIFAR-10 in 3.29 Seconds on a Single GPU

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T03:15:14.252038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.