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Paper Citation Record · LEDGER

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

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:10:34.338092Z

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 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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-17T23:04:44.287660Z digest=sha256:85538f88cc8f8debe6cd4503f378ca5fb785be6f690ff962431fb168f5a7bdb8

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.

source=pdf_text observed=2026-08-07T11:10:34.338092Z digest=sha256:b0a7780071c05e4764de41a260280db2c8f6e51fe45e33aba5a2782682e49e36

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.

source=pdf_text observed=2026-08-07T10:51:41.358832Z digest=sha256:06097774688542bffaf289a7e3e688ebd82c3856d5b747202662047165fddb09

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-18T07:00:27.719109Z digest=sha256:bde8ab224896b68921dc4ffba602ed26f134746c83e78b5d3019baaff5295915