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Paper Citation Record · LEDGER

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs

As of 19 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2501.03398.

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

pith.paper-citation-record.v1
2501.03398 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:58:03.239495Z

measured 38 of 38 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

  • verified exact20
  • verified fuzzy7
  • unresolved10
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3bec21a-8e80-48db-9aae-310253830cbd · outbound

This paper cites Sanchez, Paul J.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Sanchez, Paul J

Reference 1

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Source-reported events for the cited work

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Observation e6b9d64a-2c0c-489c-9a66-ac64b64bab0c · outbound

This paper cites Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

Reference 2

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Observation 82e97ce7-1352-4903-b3d4-146068782ba0 · outbound

This paper cites an unresolved cited work.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Unresolved cited work

Reference 3

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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.

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Observation ccda9de3-1d2d-4538-b8a2-819ecc6588da · outbound

This paper cites Sanchez and Paul J.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Sanchez and Paul J

Reference 4

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Source-reported events for the cited work

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Observation ae5f9363-9398-47c8-933c-73d6ab2598fc · outbound

This paper cites Design choice and machine learning model performances.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Design choice and machine learning model performances

Reference 5

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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.

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Observation c30c5d9c-29e5-48c2-929b-473af62767a5 · outbound

This paper cites Design of experiments and machine learning with application to industrial experiments.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Design of experiments and machine learning with application to industrial experiments

Reference 6

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verified exact
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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.

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Observation 48ae6976-8c21-4f11-99c3-cb2882ce4298 · outbound

This paper cites Weese, Jonathan W.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Weese, Jonathan W

Reference 7

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verified exact
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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.

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Observation e18bbc23-5fea-4d51-b5e0-dcbbc14b7925 · outbound

This paper cites Roshan Joseph.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Roshan Joseph

Reference 8

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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.

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Observation 057a1d8d-0b8a-4d04-93c2-c6bb2ace920c · outbound

This paper cites Johnson, L.M.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Johnson, L.M

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 03863037-3f1b-4863-9a99-4ee89050ce3a · outbound

This paper cites an unresolved cited work.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Unresolved cited work

Reference 10

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Source-reported events for the cited work

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Observation 7f9b2adc-829e-4ec2-be22-4367b4859627 · outbound

This paper cites Numerical studies of space-filling designs: optimization of Latin Hypercube Samples and subprojection properties.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Numerical studies of space-filling designs: optimization of Latin Hypercube Samples and subprojection properties

Reference 11

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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.

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Observation 0ec518e7-5dda-4dd7-8c9a-9ce724dafe12 · outbound

This paper cites Roshan Joseph, Evren Gul, and Shan Ba.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Roshan Joseph, Evren Gul, and Shan Ba

Reference 12

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verified exact
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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.

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Observation 47e57763-5f65-4b75-bf6c-3c608c7984b3 · outbound

This paper cites Fast flexible space‐filling designs with nominal factors for nonrectangular regions.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Fast flexible space‐filling designs with nominal factors for nonrectangular regions

Reference 13

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verified exact
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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.

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Observation 1d87c81a-f1e0-431f-9287-74b8ce223423 · outbound

This paper cites Fast Flexible Space - Filling Designs for Nonrectangular Regions.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Fast Flexible Space - Filling Designs for Nonrectangular Regions

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 774742a6-c079-430c-90b3-35153f869022 · outbound

This paper cites Optimal Noncollapsing Space - Filling Designs for Irregular Experimental Regions.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Optimal Noncollapsing Space - Filling Designs for Irregular Experimental Regions

Reference 15

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Unavailable: canonical work link unavailable.

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Observation cca0ec95-2194-4506-9fe2-d647389ac997 · outbound

This paper cites Okolo, and Weihua Zhang.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Okolo, and Weihua Zhang

Reference 16

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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.

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Observation 765cf604-419a-477f-8911-486a9b3e9cd4 · outbound

This paper cites Robust design modeling and optimization for dealing with a non-convex design space.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Robust design modeling and optimization for dealing with a non-convex design space

Reference 17

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Unavailable: canonical work link unavailable.

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Observation 2c8063cb-5ca7-4bd0-9dfd-180049af99ba · outbound

This paper cites Particle swarm optimization for searching efficient experimental designs: A review.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Particle swarm optimization for searching efficient experimental designs: A review

Reference 18

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verified exact
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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.

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Observation e6b7da80-8622-4324-b090-690e72c5c888 · outbound

This paper cites Orthogonal uniform composite designs.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Orthogonal uniform composite designs

Reference 19

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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.

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Observation 0904496d-3d2a-4427-88e9-fc2a3cb4cbe6 · outbound

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Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Unresolved cited work

Reference 20

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Observation bd4bf5cd-dd22-4b6e-b415-9d5ff09140bb · outbound

This paper cites Devon Lin.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Devon Lin

Reference 21

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verified exact
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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.

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Observation 652b66f5-b307-4ad0-8ca9-ed8c28b9e141 · outbound

This paper cites Crombecq, E.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Crombecq, E

Reference 22

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verified exact
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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.

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Observation aa471f98-ea49-4641-b313-e8fdfee2ef10 · outbound

This paper cites Progressive Latin Hypercube Sampling : An efficient approach for robust sampling-based analysis of environmental models.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Progressive Latin Hypercube Sampling : An efficient approach for robust sampling-based analysis of environmental models

Reference 23

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

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Observation 0089d812-108e-4ba5-aec1-e0fbe3cba1e9 · outbound

This paper cites Parker, T.W.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Parker, T.W

Reference 24

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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.

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Observation 55b059bd-a3c3-480a-84be-75a45ee607e3 · outbound

This paper cites Constrained space-filling and non-collapsing sequential design of experiments and its application for the lightweight design of cylindrical stiffened shells.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Constrained space-filling and non-collapsing sequential design of experiments and its application for the lightweight design of cylindrical stiffened shells

Reference 25

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

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Observation 7f6e1ca5-edca-4201-8ada-2da654c22eb1 · outbound

This paper cites Anderson‐Cook, Miranda Martin, and Towfiq Ahmed.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Anderson‐Cook, Miranda Martin, and Towfiq Ahmed

Reference 26

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verified exact
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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.

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Observation 1fd57e52-8917-4639-a5bb-61569641e8f9 · outbound

This paper cites mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions

Reference 27

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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.

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Observation 86a779b0-0c76-472c-8042-4b8cfa450e4b · outbound

This paper cites Algorithms for hyper-parameter optimization.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Algorithms for hyper-parameter optimization

Reference 28

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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.

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Observation 023c21e3-3ac4-4dc5-bfa4-c991dd58da6c · outbound

This paper cites VolcanoML : speeding up end-to-end AutoML via scalable search space decomposition.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs VolcanoML : speeding up end-to-end AutoML via scalable search space decomposition

Reference 29

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verified exact
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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.

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Observation 4aaf285b-dd2c-4d23-a15d-813046d1da0d · outbound

This paper cites Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, St \'e fan J.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, St \'e fan J

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8cf36a85-a383-435f-932d-2336bf7dbb0b · outbound

This paper cites Mixture discrepancy for quasi-random point sets.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Mixture discrepancy for quasi-random point sets

Reference 31

Resolution
verified fuzzy
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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.

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Observation 13327cb7-94e0-4238-8f1c-32958e15d4e2 · outbound

This paper cites Roshan Joseph.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Roshan Joseph

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:58:04.700120Z

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.

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Observation e18a6901-be12-4150-98c3-3156eecf526d · outbound

This paper cites SlicedLHD : Sliced Latin Hypercube Designs , February 2024.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs SlicedLHD : Sliced Latin Hypercube Designs , February 2024

Reference 33

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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.

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Observation a56229c4-23d8-4594-af60-cf59a421bc2c · outbound

This paper cites JMP ® Pro.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs JMP ® Pro

Reference 34

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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.

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Observation d5095432-362c-4f0d-b2a2-0bbe47e8d317 · outbound

This paper cites Lucas and Jeffrey D.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs Lucas and Jeffrey D

Reference 35

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:58:03.226116Z digest=sha256:63af4eb1cf602cb9b4f8d9c74afc21f258c054b24f9a29e77c7156050494db7c

Observation 7e22331f-d207-4f94-a70f-1a7bd17d00bf · outbound

This paper cites PEP 484 – Type Hints.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs PEP 484 – Type Hints

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-10T21:58:04.652390Z

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=arxiv_source observed=2026-08-10T21:58:03.230813Z digest=sha256:00ad8afb9d03fbd03f3c26d94b83a8f9511949896f480afa7a08bb80b7783dd2

Observation e4c3db03-386f-4df6-87fd-903c7104fbe3 · outbound

This paper cites PEP 593 – Flexible function and variable annotations.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs PEP 593 – Flexible function and variable annotations

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:58:04.637361Z

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=arxiv_source observed=2026-08-10T21:58:03.235151Z digest=sha256:3d1088df76fa916179b839dd28c7d134afa9a83d60b85dfd6bbef21b7d3eb321

Observation 90d20665-7579-44c8-b78b-30590eeb0565 · outbound

This paper cites BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters.

Rapid Experimentation with Python Considering Optional and Hierarchical Inputs BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T21:58:03.239495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:58:03.239495Z digest=sha256:7276a7a6bc17f6e96974f61cf9db54362125e9e64ccb8ab85c6820d593797b86

Pith citing papers

No inbound Pith citation observations are available.