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Paper Citation Record · LEDGER

Evolutionary Neural AutoML for Deep Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1902.06827.

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

pith.paper-citation-record.v1
1902.06827 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:51:25.135870Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T05:59:55.400143Z

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 18db3933-3b88-4545-9e63-c1a289d31b7b · inbound

Automatic Model Monitoring for Data Streams cites this paper.

Automatic Model Monitoring for Data Streams Evolutionary Neural AutoML for Deep Learning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-14T13:51:25.135870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:51:25.135870Z digest=sha256:f167ca1f9b5074cf66627c93dfa9a06b523d203da798145dca78d1c5f30ef4f6

Observation 8d6b087b-6d0b-4308-90b3-e213ec853618 · 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 Evolutionary Neural AutoML for Deep Learning

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-14T05:59:55.406028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T05:59:54.672187Z digest=sha256:a1cbecec455792ae4876f7dd9de8f3a8dc7f6cb8c9f494ade29d77d7345a22cb