Paper Citation Record · LEDGER

Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2107.05847.

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

pith.paper-citation-record.v1
2107.05847 v3

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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:27:08.163513Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T20:36:11.875424Z

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 602a876e-56e2-4ef4-a3cc-9e7018da9454 · inbound

Hyperpruning: Efficient Search through Pruned Variants of Recurrent Neural Networks Leveraging Lyapunov Spectrum cites this paper.

Hyperpruning: Efficient Search through Pruned Variants of Recurrent Neural Networks Leveraging Lyapunov Spectrum Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:08.163513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aee71b9b-dc78-4a35-a49d-5774bc690131 · inbound

Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents cites this paper.

Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T01:15:20.555009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2907fc6-6ae7-40a5-8cd5-ad3526476bde · inbound

Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents cites this paper.

Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T06:05:26.828576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff2204f5-6777-4418-b753-de2828870720 · inbound

Machine learning models for estimating counterfactuals in a single-arm inflammatory bowel disease study cites this paper.

Machine learning models for estimating counterfactuals in a single-arm inflammatory bowel disease study Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:36:11.879797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.