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Paper Citation Record · LEDGER

Hyperparameter Search in Machine Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1502.02127.

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

pith.paper-citation-record.v1
1502.02127 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:10:27.259140Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:55:35.839103Z

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 8955d39d-eba0-4b61-90e6-6537df7505d6 · 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 Hyperparameter Search in Machine Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T11:10:27.259140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:10:27.259140Z digest=sha256:92a7240d6857a20ba9c841088c3ae41c36e1e874ea86781de949e31dd4074267

Observation f0f873c3-e8b0-40a8-b6b8-ba9f765419cc · inbound

Hierarchical Deep Feature Fusion and Ensemble Learning for Enhanced Brain Tumor MRI Classification cites this paper.

Hierarchical Deep Feature Fusion and Ensemble Learning for Enhanced Brain Tumor MRI Classification Hyperparameter Search in Machine Learning

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T00:55:35.057086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:55:35.057086Z digest=sha256:abffc26f45e500acb24c8773292fbea6dce4826fc4b17d822d2bcc06dcc39f6b

Observation 9e8e6e97-ddb7-47de-a5c1-676cbfacd559 · inbound

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification cites this paper.

Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification Hyperparameter Search in Machine Learning

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:55:35.894869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:34.776373Z digest=sha256:ab0468a178e748a6a0d84995ca1d2392606a941ba0c592e1c6f81e1eaf8ac2a7