Paper Citation Record · LEDGER

Hyperparameter Optimization via Interacting with Probabilistic Circuits

As of 14 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2505.17804.

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

pith.paper-citation-record.v1
2505.17804 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:47:11.482347Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

46 of 46 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8372db02-b569-486e-933e-0532ba0c8826 · outbound

This paper cites write newline.

Hyperparameter Optimization via Interacting with Probabilistic Circuits write newline

Reference 1

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Observation 1d9cb30d-0482-4d94-a0d0-77592493ee2d · outbound

This paper cites O ptuna: A next-generation hyperparameter optimization framework.

Hyperparameter Optimization via Interacting with Probabilistic Circuits O ptuna: A next-generation hyperparameter optimization framework

Reference 2

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Observation 91790def-3aa0-46c2-8bd5-cdec59cf14f7 · outbound

This paper cites Jahs-bench-201: A foundation for research on joint architecture and hyperparameter search.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Jahs-bench-201: A foundation for research on joint architecture and hyperparameter search

Reference 3

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Observation d03c059f-5a03-4d01-961b-71453acf7b27 · outbound

This paper cites Random search for hyper-parameter optimization.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Random search for hyper-parameter optimization

Reference 4

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Observation a89b91d6-57eb-4d2b-84c6-ed7cc3128c47 · outbound

This paper cites Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges

Reference 5

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Observation ddda4fa6-c0db-4f96-bdbd-b779efb74d51 · outbound

This paper cites Survey of machine-learning experimental methods at NeurIPS2019 and ICLR2020.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Survey of machine-learning experimental methods at NeurIPS2019 and ICLR2020

Reference 6

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Observation 16246132-949e-4d10-8637-b5b94a30f3e9 · outbound

This paper cites Random forests.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Random forests

Reference 7

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Observation 1395d082-d55b-4ea9-8888-b5ca00829785 · outbound

This paper cites Probabilistic circuits: A unifying framework for tractable probabilistic models.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Probabilistic circuits: A unifying framework for tractable probabilistic models

Reference 8

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Observation 1a430063-39a1-45f3-936b-406e152120b9 · outbound

This paper cites NAS - B ench-201: Extending the scope of reproducible neural architecture search.

Hyperparameter Optimization via Interacting with Probabilistic Circuits NAS - B ench-201: Extending the scope of reproducible neural architecture search

Reference 9

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Observation 45a68f39-7710-4017-9bf7-27b4925997e0 · outbound

This paper cites Learning the structure of sum-product networks.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Learning the structure of sum-product networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:47:17.230790Z

Source-reported events for the cited work

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Observation a15e617c-1a7b-493c-97c0-8f5a72dfc975 · outbound

This paper cites Landwehr, Pavel Komarov, Mehdi Cherti, Kejia (KJ) Shi, Karlson Pfannschmidt, Fabian Linzberger, Christophe Cauet, Anna Gut, Andreas Mueller, and Alexander Fabisch.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Landwehr, Pavel Komarov, Mehdi Cherti, Kejia (KJ) Shi, Karlson Pfannschmidt, Fabian Linzberger, Christophe Cauet, Anna Gut, Andreas Mueller, and Alexander Fabisch

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:47:17.109142Z

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Observation 35a5dfe7-c7fb-45a4-811c-1196a3273f8c · outbound

This paper cites Hyperparameter transfer learning with adaptive complexity.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Hyperparameter transfer learning with adaptive complexity

Reference 12

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Observation 2b4e790d-5ddf-48d5-b63a-580d1187b803 · outbound

This paper cites Sequential model-based optimization for general algorithm configuration.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Sequential model-based optimization for general algorithm configuration

Reference 13

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Observation f0899752-c87b-439b-b372-ef55c28c024a · outbound

This paper cites Identifying key algorithm parameters and instance features using forward selection.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Identifying key algorithm parameters and instance features using forward selection

Reference 14

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Observation 9e619545-c59c-4e9c-a73e-7ca213c67628 · outbound

This paper cites Automated Machine Learning: Methods, Systems, Challenges.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Automated Machine Learning: Methods, Systems, Challenges

Reference 15

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Observation 6beda49d-24d2-4cb0-a318-7115b9e3bbf6 · outbound

This paper cites bo: Augmenting acquisition functions with user beliefs for bayesian optimization.

Hyperparameter Optimization via Interacting with Probabilistic Circuits bo: Augmenting acquisition functions with user beliefs for bayesian optimization

Reference 16

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Observation be7ea6cd-83c3-424c-902b-a28ead64b7c7 · outbound

This paper cites Efficient global optimization of expensive black-box functions.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Efficient global optimization of expensive black-box functions

Reference 17

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Observation 922dbeb3-85f4-47b7-8ad9-a815129a0f0b · outbound

This paper cites Tabular benchmarks for joint architecture and hyperparameter optimization, 2019.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Tabular benchmarks for joint architecture and hyperparameter optimization, 2019

Reference 18

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Hyperparameter Optimization via Interacting with Probabilistic Circuits Unresolved cited work

Reference 19

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Observation 871e5251-f90a-43ca-aada-57a3bb84071e · outbound

This paper cites Smac3: A versatile bayesian optimization package for hyperparameter optimization.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Smac3: A versatile bayesian optimization package for hyperparameter optimization

Reference 20

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This paper cites Position: A call to action for a human-centered automl paradigm.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Position: A call to action for a human-centered automl paradigm

Reference 21

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Observation 2bc1b93f-8a96-4fb6-855e-ee1d4a40379c · outbound

This paper cites Priorband: Practical hyperparameter optimization in the age of deep learning.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Priorband: Practical hyperparameter optimization in the age of deep learning

Reference 22

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Hyperparameter Optimization via Interacting with Probabilistic Circuits Unresolved cited work

Reference 23

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This paper cites Mixed sum-product networks: A deep architecture for hybrid domains.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Mixed sum-product networks: A deep architecture for hybrid domains

Reference 24

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Observation c1cbbb63-0df3-4ffb-8295-e6050fbe1f64 · outbound

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Hyperparameter Optimization via Interacting with Probabilistic Circuits Domingos

Reference 25

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Observation e5e867e9-ce4c-4519-9dd9-86606570a616 · outbound

This paper cites Scalable hyperparameter transfer learning.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Scalable hyperparameter transfer learning

Reference 26

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Observation 315d68d2-4ddd-49d8-83ef-727bd97cd430 · outbound

This paper cites Jomaa, Martin Wistuba, and Josif Grabocka.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Jomaa, Martin Wistuba, and Josif Grabocka

Reference 27

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Observation 2b5a3369-99d8-4f2a-b7a2-fd6d92e6c1ad · outbound

This paper cites Tunability: Importance of hyperparameters of machine learning algorithms.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Tunability: Importance of hyperparameters of machine learning algorithms

Reference 28

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Observation 1139e382-cdfe-4c11-a49e-062f71fedfa9 · outbound

This paper cites Incorporating expert prior in bayesian optimisation via space warping.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Incorporating expert prior in bayesian optimisation via space warping

Reference 29

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Hyperparameter Optimization via Interacting with Probabilistic Circuits Gaussian Processes for Machine Learning

Reference 30

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Observation f6ee97c4-03c0-4a0a-a31b-316c0ec52e8a · outbound

This paper cites A quantile-based approach for hyperparameter transfer learning.

Hyperparameter Optimization via Interacting with Probabilistic Circuits A quantile-based approach for hyperparameter transfer learning

Reference 31

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Hyperparameter Optimization via Interacting with Probabilistic Circuits Adams, and Nando de Freitas

Reference 32

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Observation d2baf361-68e6-4160-8c8b-89a161b504c7 · outbound

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Hyperparameter Optimization via Interacting with Probabilistic Circuits Unresolved cited work

Reference 33

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Hyperparameter Optimization via Interacting with Probabilistic Circuits Unresolved cited work

Reference 34

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Observation c6949530-805e-4237-ae95-75986a414311 · outbound

This paper cites Meta-Learning: A Survey.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Meta-Learning: A Survey

Reference 35

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This paper cites Recent advances in bayesian optimization.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Recent advances in bayesian optimization

Reference 36

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Observation a9114bda-9c22-478d-8f6e-f82dde535be5 · outbound

This paper cites Dahl, Kevin Swersky, Chansoo Lee, Zachary Nado, Justin Gilmer, Jasper Snoek, and Zoubin Ghahramani.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Dahl, Kevin Swersky, Chansoo Lee, Zachary Nado, Justin Gilmer, Jasper Snoek, and Zoubin Ghahramani

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:47:13.028000Z

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Observation 9817abac-dab2-4125-ab72-2a6beef140ac · outbound

This paper cites Exploring the loss landscape in neural architecture search.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Exploring the loss landscape in neural architecture search

Reference 38

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Observation 33c8e41c-d23c-4d4f-8f59-1782fc084940 · outbound

This paper cites Maximizing acquisition functions for bayesian optimization.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Maximizing acquisition functions for bayesian optimization

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:47:12.611782Z

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Observation d0773141-f275-4dc4-b6fd-de561f06f04b · outbound

This paper cites Sequential model-free hyperparameter tuning.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Sequential model-free hyperparameter tuning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:47:12.443764Z

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Observation 316c133a-1a6a-4486-a11f-8bf569a8f1bc · outbound

This paper cites Nas-bench-101: Towards reproducible neural architecture search.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Nas-bench-101: Towards reproducible neural architecture search

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:47:12.210816Z

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Observation 9bd56c0d-ce0e-4ae1-8f98-392700159fe3 · outbound

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Hyperparameter Optimization via Interacting with Probabilistic Circuits Unresolved cited work

Reference 42

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Observation 7f9539b2-4d2e-46a0-89fa-03077b899e24 · outbound

This paper cites Collapsed variational inference for sum-product networks.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Collapsed variational inference for sum-product networks

Reference 43

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Observation fddeae0a-b451-41c2-943f-4518a75193d5 · outbound

This paper cites @esa (Ref.

Hyperparameter Optimization via Interacting with Probabilistic Circuits @esa (Ref

Reference 44

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Observation 6c8546fb-5676-4185-8e36-58bce5be9cd7 · outbound

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Hyperparameter Optimization via Interacting with Probabilistic Circuits Unresolved cited work

Reference 45

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Observation 79c733b2-440f-4074-9688-52398cfb67f7 · outbound

This paper cites Evaluating the Search Phase of Neural Architecture Search.

Hyperparameter Optimization via Interacting with Probabilistic Circuits Evaluating the Search Phase of Neural Architecture Search

Reference 46

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.