Paper Citation Record · LEDGER

DeepArchitect: Automatically Designing and Training Deep Architectures

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1704.08792.

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

pith.paper-citation-record.v1
1704.08792 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 2026-08-16T06:30:59.297886+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:38:08.382840Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T07:34:22.005005Z

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 b4055d5e-3fc4-47d0-aee7-c1d3a140313d · inbound

EPNAS: Efficient Progressive Neural Architecture Search cites this paper.

EPNAS: Efficient Progressive Neural Architecture Search DeepArchitect: Automatically Designing and Training Deep Architectures

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:16:31.693461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b33b6f66-fb60-4525-91fb-b0d0fea6a807 · inbound

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

AutoML: A Survey of the State-of-the-Art DeepArchitect: Automatically Designing and Training Deep Architectures

Reference 161

Resolution: unresolved; no resolver link, observed 2026-08-14T15:38:08.382840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f8aa083-bb44-457d-a93b-62440f6d1ff3 · 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 DeepArchitect: Automatically Designing and Training Deep Architectures

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-14T05:59:54.723149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96e57435-7292-4939-a4d0-e57b9ca5ee63 · inbound

The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases cites this paper.

The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases DeepArchitect: Automatically Designing and Training Deep Architectures

Reference 270

Resolution: unresolved; no resolver link, observed 2026-08-12T20:23:11.236124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1df5c196-c275-464c-99cf-b40db4c45c44 · inbound

Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function cites this paper.

Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function DeepArchitect: Automatically Designing and Training Deep Architectures

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T15:48:59.731476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b8fea59-633d-4bea-9ead-ca4585f32999 · inbound

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search cites this paper.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search DeepArchitect: Automatically Designing and Training Deep Architectures

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T04:50:35.098188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f48d861d-3a4d-4ff6-abcb-b194601a128f · inbound

confopt: A Library for Implementation and Evaluation of Gradient-based One-Shot NAS Methods cites this paper.

confopt: A Library for Implementation and Evaluation of Gradient-based One-Shot NAS Methods DeepArchitect: Automatically Designing and Training Deep Architectures

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T15:12:06.512999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db276f71-63ef-4b1b-a613-a5754c7d0888 · inbound

Bilevel Optimization for Neural Architecture Search cites this paper.

Bilevel Optimization for Neural Architecture Search DeepArchitect: Automatically Designing and Training Deep Architectures

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-06-30T07:34:22.006320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.