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Paper Citation Record · LEDGER

Hyper-Parameter Optimization: A Review of Algorithms and Applications

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2003.05689.

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

pith.paper-citation-record.v1
2003.05689 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:45:05.087229Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:57:30.248016Z

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 ef0b3a23-d5d1-4987-a631-1307f312f66d · inbound

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification cites this paper.

A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Hyper-Parameter Optimization: A Review of Algorithms and Applications

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-24T08:26:04.206222Z

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=2026-05-24T08:25:50.438365Z digest=sha256:179e19192de257da29a81c9fb23186a76f4c6c205f15ac78d185e64f90bd617c

Observation 4e4216c4-e61d-4165-aca3-c6d5e434994c · inbound

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices cites this paper.

Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices Hyper-Parameter Optimization: A Review of Algorithms and Applications

Reference 191

Resolution
unresolved
no resolver link, observed 2026-08-07T10:45:05.087229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:45:05.087229Z digest=sha256:40ad773860eb8c70a2d0da39cc54eb22a6bea70c0958a790aed77244672aee8e

Observation 62e02bc0-c114-440c-b48b-eb75a0891f7f · 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 Hyper-Parameter Optimization: A Review of Algorithms and Applications

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T00:55:35.051823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:55:35.051823Z digest=sha256:0173aff3c7c06b6411965dc9635511b4b87f3cbb191d52fa5a1d9002c66285e8

Observation b485e104-df5f-4ddb-9974-f5f1b54a1d3b · inbound

Fredholm Neural Networks for inverse problems in elliptic PDEs cites this paper.

Fredholm Neural Networks for inverse problems in elliptic PDEs Hyper-Parameter Optimization: A Review of Algorithms and Applications

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-06T19:22:33.045458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:22:33.045458Z digest=sha256:28d2964c63696cb960e2483ab979d7741c39b412ecfe6e4540fc1e6f89c9d5bb

Observation 6af69aeb-ee97-4c61-a2fa-61f78a57c2cb · 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 Hyper-Parameter Optimization: A Review of Algorithms and Applications

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T16:55:34.589745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:55:34.589745Z digest=sha256:4ee9391bd576dc7a7facd58cf3cc5e83c32dabcf9d3bff320fc6a117a767fbb7

Observation b1702588-0fdc-4176-a563-793878876f26 · inbound

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification cites this paper.

Improving Neural Network Training using Dynamic Learning Rate Schedule for PINNs and Image Classification Hyper-Parameter Optimization: A Review of Algorithms and Applications

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T12:28:45.617655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:28:45.617655Z digest=sha256:6395143f0f0c1bb01a6a6cf5585029e23a8b1d4744f18b2c13fbfd53f6bbb6ef

Observation c93bed6c-13c6-447c-bb01-345f0e31a0da · 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) Hyper-Parameter Optimization: A Review of Algorithms and Applications

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:57:30.249634Z

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=2026-06-27T16:54:34.676936Z digest=sha256:cef3eb341dc42728c9ddc629a0c95d47198294ba4651e28fb040ac0dc52c9189

Observation 96a94ff7-54a9-40d0-b152-2092a3013955 · inbound

Exploiting Structural Properties for Efficient Constraint-Aware HNSW Hyperparameter Tuning cites this paper.

Exploiting Structural Properties for Efficient Constraint-Aware HNSW Hyperparameter Tuning Hyper-Parameter Optimization: A Review of Algorithms and Applications

Reference 48

Resolution
unresolved
no resolver link, observed 2026-07-11T16:08:01.254231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T16:08:01.254231Z digest=sha256:5b41a63890971954b32536e8dccf10f8046ed7eba4ec1f5ce884dbf6f16af7d2

Observation ad68417f-b65d-441e-b924-32d0cc08b105 · inbound

Efficient Heteroscedastic Bayesian Optimization for Risk-Aware AutoRL cites this paper.

Efficient Heteroscedastic Bayesian Optimization for Risk-Aware AutoRL Hyper-Parameter Optimization: A Review of Algorithms and Applications

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-31T00:13:47.132779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T00:13:47.132779Z digest=sha256:49a58e7a3ba617cad4b3514b9b461961babfd95fcd2b216a33194a38f62d33bd

Observation 18b5331e-6ac2-466d-a1e6-a2398317bbeb · inbound

End-to-end differentiable retrieval of molecular spectra using hydrodynamics, chemistry, and radiative transfer cites this paper.

End-to-end differentiable retrieval of molecular spectra using hydrodynamics, chemistry, and radiative transfer Hyper-Parameter Optimization: A Review of Algorithms and Applications

Reference 217

Resolution
unresolved
no resolver link, observed 2026-08-03T00:39:23.156333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:39:23.156333Z digest=sha256:39ed2d0f4af02223ff979a46d64de3f0741024b466e17991bad7b50567d628ba