Paper Citation Record · LEDGER

Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2102.11535.

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

pith.paper-citation-record.v1
2102.11535 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:00:51.713432Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:34:22.006489Z

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 079aa85f-37d3-42bc-9805-d65cb46ea714 · inbound

Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias cites this paper.

Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T06:00:51.713432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d559aeb8-7f9b-4771-bb3a-f379e06152c3 · inbound

Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel cites this paper.

Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T04:21:45.264027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84de8bae-6b17-4fd6-bd74-bf9920df2780 · inbound

Coflex: Enhancing HW-NAS with Sparse Gaussian Processes for Efficient and Scalable DNN Accelerator Design cites this paper.

Coflex: Enhancing HW-NAS with Sparse Gaussian Processes for Efficient and Scalable DNN Accelerator Design Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T10:50:47.353625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc9d4c93-1d6f-45ae-b286-211a54647666 · inbound

Spiking Neural Network Architecture Search: A Survey cites this paper.

Spiking Neural Network Architecture Search: A Survey Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective

Reference 168

Resolution: verified exact; arxiv_id, observed 2026-05-18T07:01:01.417596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6525ed5b-9630-4da2-aee9-14b4c03baf2c · inbound

The Benefits of Temporal Correlations: SGD Learns k-Juntas from Random Walks Efficiently cites this paper.

The Benefits of Temporal Correlations: SGD Learns k-Juntas from Random Walks Efficiently Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:31:24.350336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cc2fd97b-ae07-45b0-a33f-128ef75076df · inbound

Bilevel Optimization for Neural Architecture Search cites this paper.

Bilevel Optimization for Neural Architecture Search Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:34:22.008123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.