Paper Citation Record · LEDGER

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1807.06906.

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

pith.paper-citation-record.v1
1807.06906 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:38:07.186171Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-18T07:01:01.424019Z

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 c317ce79-d5ae-4b39-abe7-a003240edf74 · inbound

AutoML: A Survey of the State-of-the-Art cites this paper.

AutoML: A Survey of the State-of-the-Art Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-14T15:38:07.186171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 372e991a-b9f4-427f-af29-80b8be56d603 · inbound

Feature Partitioning for Efficient Multi-Task Architectures cites this paper.

Feature Partitioning for Efficient Multi-Task Architectures Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-14T13:48:45.696321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89d67359-b8e3-476d-bb96-339739273acc · inbound

A Sensitivity Analysis of Attention-Gated Convolutional Neural Networks for Sentence Classification cites this paper.

A Sensitivity Analysis of Attention-Gated Convolutional Neural Networks for Sentence Classification Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T12:54:54.980873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc47590b-b693-4750-a870-b37717e79dd4 · inbound

Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research cites this paper.

Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:54.912902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f8d3d7c-2fd6-4a44-bdd6-9ad61f89338f · inbound

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive cites this paper.

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search

Reference 220

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T23:04:44.603323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3bf14c57-403f-4af8-a570-a497373b0751 · inbound

Fault Localisation and Repair for DL Systems: An Empirical Study with LLMs cites this paper.

Fault Localisation and Repair for DL Systems: An Empirical Study with LLMs Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:34.338092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0321df57-3d8e-4f75-823b-f6b701133b34 · inbound

You Only Train Once cites this paper.

You Only Train Once Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T10:51:41.358832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa26256d-1ff1-4bf0-b0d5-98e3b1bfd0a4 · inbound

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

Spiking Neural Network Architecture Search: A Survey Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search

Reference 165

Resolution: verified exact; local_arxiv, observed 2026-05-18T07:01:01.426962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.