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Paper Citation Record · LEDGER

Neural Architecture Optimization

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1808.07233.

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

pith.paper-citation-record.v1
1808.07233 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:19:55.457719Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T16:36:02.635764Z

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 97862c66-8b8e-49db-9658-38bf8a432e1a · inbound

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks cites this paper.

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Neural Architecture Optimization

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-16T12:20:27.406464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-16T12:20:27.364126Z digest=sha256:80b666b95bb9cc2fbd702e424d92ebc3e6e64518f0fe641bdea256d7751b3f72

Observation 3b18b6ba-0eac-446c-baf9-4e9eebb03584 · inbound

AGAN: Towards Automated Design of Generative Adversarial Networks cites this paper.

AGAN: Towards Automated Design of Generative Adversarial Networks Neural Architecture Optimization

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-25T16:36:02.639391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-25T16:33:02.970348Z digest=sha256:6159a4942919857f2984ec8963c2a01d23884b2c793ac25f93009f4cc172f66b

Observation 5df1b7cb-6d27-44ee-9239-f48676a40551 · inbound

Generative Multi-Form Bayesian Optimization cites this paper.

Generative Multi-Form Bayesian Optimization Neural Architecture Optimization

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T16:19:55.457719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:19:55.457719Z digest=sha256:38bdb1aafaf7926fa381f5cd10ddb751d918b8b16e76384b8274b76833bf7dd8