Paper Citation Record · LEDGER

A Survey on Neural Architecture Search

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1905.01392.

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

pith.paper-citation-record.v1
1905.01392 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:54:26.806982Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T18:38:48.760791Z

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 964844a3-86fa-43c0-a967-6e77e786ff89 · inbound

XferNAS: Transfer Neural Architecture Search cites this paper.

XferNAS: Transfer Neural Architecture Search A Survey on Neural Architecture Search

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-24T19:36:20.147522Z

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 e1a7ef85-05ad-4373-af0b-4a05bb668774 · inbound

Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segmentation cites this paper.

Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segmentation A Survey on Neural Architecture Search

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-24T15:14:37.179269Z

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 e9860af0-4bb1-4d27-b972-2ef464176495 · inbound

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks cites this paper.

MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks A Survey on Neural Architecture Search

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T12:54:26.806982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 793a59b5-bbd9-461d-90e2-7d543da94254 · inbound

PhaseNAS: Language-Model Driven Architecture Search with Dynamic Phase Adaptation cites this paper.

PhaseNAS: Language-Model Driven Architecture Search with Dynamic Phase Adaptation A Survey on Neural Architecture Search

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T13:31:40.861368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f2a7a30-c999-468e-9991-ce78a3db8aa9 · inbound

RELO: Reinforcement Learning to Localize for Visual Object Tracking cites this paper.

RELO: Reinforcement Learning to Localize for Visual Object Tracking A Survey on Neural Architecture Search

Reference 271

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:40:54.658971Z

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 f4d39d6a-e8a3-4720-88c7-0985cc715e5a · inbound

RELO: Reinforcement Learning to Localize for Visual Object Tracking cites this paper.

RELO: Reinforcement Learning to Localize for Visual Object Tracking A Survey on Neural Architecture Search

Reference 272

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T23:19:13.973897Z

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 7b02b540-9437-4b83-92d1-cce07badbdf9 · inbound

Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture Search cites this paper.

Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture Search A Survey on Neural Architecture Search

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-03T18:38:48.762091Z

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.