Paper Citation Record · LEDGER

Automated Machine Learning: From Principles to Practices

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1810.13306.

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

pith.paper-citation-record.v1
1810.13306 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:38:06.955085Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:57:30.264714Z

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 d4a1dcc4-bbf4-4cde-9c00-22e3fcb5c856 · inbound

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

AutoML: A Survey of the State-of-the-Art Automated Machine Learning: From Principles to Practices

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T15:38:06.955085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 808412ab-3655-44af-ab7a-8b1d01f04a42 · inbound

Monte Carlo Tree Search based Space Transfer for Black-box Optimization cites this paper.

Monte Carlo Tree Search based Space Transfer for Black-box Optimization Automated Machine Learning: From Principles to Practices

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T19:09:12.931846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73c1b5e4-6fbe-407d-af45-e76d056b7d0d · inbound

Automated Phytosensing: Ozone Exposure Classification Based on Plant Electrical Signals cites this paper.

Automated Phytosensing: Ozone Exposure Classification Based on Plant Electrical Signals Automated Machine Learning: From Principles to Practices

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T13:19:24.595541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33692a4a-8b19-429f-be4c-b1871c622f12 · inbound

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines cites this paper.

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines Automated Machine Learning: From Principles to Practices

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T23:04:13.559912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 235f4d46-2a1d-43bf-87fe-6cd889fa955d · inbound

Variability-Aware Machine Learning Model Selection: Feature Modeling, Instantiation, and Experimental Case Study cites this paper.

Variability-Aware Machine Learning Model Selection: Feature Modeling, Instantiation, and Experimental Case Study Automated Machine Learning: From Principles to Practices

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T22:54:17.155694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4013d517-ad45-4172-a1fd-2500d3a23825 · inbound

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems cites this paper.

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems Automated Machine Learning: From Principles to Practices

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:34.032900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32e6b7ba-1c40-45da-a9c2-af4fe3363595 · inbound

Imbalanced Regression Pipeline Recommendation cites this paper.

Imbalanced Regression Pipeline Recommendation Automated Machine Learning: From Principles to Practices

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-06T17:05:04.842420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a51ea9f-f93a-4d5b-bfee-9c130a3db409 · inbound

Self-Directed Task Identification cites this paper.

Self-Directed Task Identification Automated Machine Learning: From Principles to Practices

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:43:19.038193Z

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.

Observation a4dc7a28-2397-4b92-b167-86887fa731a7 · inbound

LATTEArena: An Evaluation Framework for LLM-powered Tabular Feature Engineering (Extended Version) cites this paper.

LATTEArena: An Evaluation Framework for LLM-powered Tabular Feature Engineering (Extended Version) Automated Machine Learning: From Principles to Practices

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:57:30.267022Z

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.