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Paper Citation Record · LEDGER

Neural Architecture Search without Training

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.04647.

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

pith.paper-citation-record.v1
2006.04647 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T06:03:49.273219Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:50:36.343625Z

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 9a92adcf-beca-4a65-9694-9a7f27b0d10b · inbound

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations cites this paper.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Neural Architecture Search without Training

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-12T06:03:49.273219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T06:03:49.273219Z digest=sha256:97beb6ce2db41f88a6c487b6a323b8d89558af06bee83c1cbca5a6efa0e3166a

Observation 7c0a6c0a-c6aa-422c-9214-059a398ac983 · 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 Neural Architecture Search without Training

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:50:36.409401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:50:33.756413Z digest=sha256:ce7baf744c688e0f0ba29a00701632eefc62b1ae85a266cc62b52ecf44d6f697