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Paper Citation Record · LEDGER

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs

As of 10 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2501.13018.

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

pith.paper-citation-record.v1
2501.13018 v2

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:39:50.594655Z

measured 55 of 55 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:15:31.747397Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T23:15:31.987470Z

Reference resolution

54 of 54 outbound references displayed

  • verified exact1
  • verified fuzzy32
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2905f33c-8607-46d3-928c-2aedf7141905 · outbound

This paper cites write newline.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8a50e6cf-4304-4582-b120-88a0e2ee14bb · outbound

This paper cites an unresolved cited work.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Unresolved cited work

Reference 2

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

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Observation c5fa5176-1e9b-4595-b587-c5c31a09d4b1 · outbound

This paper cites Instruction Induction: From Few Examples to Natural Language Task Descriptions.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Instruction Induction: From Few Examples to Natural Language Task Descriptions

Reference 3

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Observation 52230512-8078-49ea-8b6c-801029c0a370 · outbound

This paper cites GPTScore: Evaluate as You Desire.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs GPTScore: Evaluate as You Desire

Reference 4

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Observation c4319a60-3440-4592-bc79-72aa7645fb38 · outbound

This paper cites Frugal GPT : How to use large language models while reducing cost and improving performance.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Frugal GPT : How to use large language models while reducing cost and improving performance

Reference 5

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Source-reported events for the cited work

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Observation 909035dd-9afb-4ef8-9bf1-f4e3979292cb · outbound

This paper cites Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control

Reference 6

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Observation 47280c6b-8ddd-4b74-864c-a44cea952912 · outbound

This paper cites Jaakkola.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Jaakkola

Reference 7

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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.

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Observation b542995f-a2aa-4541-9e8d-325c3f3cf73a · outbound

This paper cites Recursive deep models for semantic compositionality over a sentiment treebank.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Recursive deep models for semantic compositionality over a sentiment treebank

Reference 8

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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T16:39:50.322870Z digest=sha256:16dcb182b0e3ac45cd63dd4164db451346faa19931d826c72b43dbfa92a2a0d5

Observation 43390a52-5a09-4765-aa2f-a70c6473a942 · outbound

This paper cites Algorithms for hyper-parameter optimization.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Algorithms for hyper-parameter optimization

Reference 9

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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.

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Observation 7ecba481-e624-46db-8123-9019d830abba · outbound

This paper cites Hyperband: A novel bandit-based approach to hyperparameter optimization.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Hyperband: A novel bandit-based approach to hyperparameter optimization

Reference 10

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

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Observation b4b91f1d-8d51-4ac0-991e-3011084c66c8 · outbound

This paper cites Practical bayesian optimization of machine learning algorithms.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Practical bayesian optimization of machine learning algorithms

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:39:50.340953Z digest=sha256:408c3f50bac73c8bb2f44bf16ab27ed3b5a05c9473a99a417be1e114799d47cd

Observation 60c754ed-4af3-4d3d-acdb-ca6541083a83 · outbound

This paper cites Gradient-based hyperparameter optimization through reversible learning.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Gradient-based hyperparameter optimization through reversible learning

Reference 12

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raw_fallback, observed 2026-08-10T16:39:51.664375Z

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.

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Observation 18aecee8-f057-43fd-8730-18ff2c8e0586 · outbound

This paper cites Ensuring Reliability via Hyperparameter Selection: Review and Advances.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Ensuring Reliability via Hyperparameter Selection: Review and Advances

Reference 13

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local_arxiv, observed 2026-08-10T16:39:50.920930Z

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.

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Observation a11140bf-cc6f-4561-a672-f5578ec54f4c · outbound

This paper cites A fast and elitist multiobjective genetic algorithm: NSGA-II.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs A fast and elitist multiobjective genetic algorithm: NSGA-II

Reference 14

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raw_fallback, observed 2026-08-10T16:39:51.646651Z

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

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Observation bb589f68-e653-4270-8322-8dd176ae9768 · outbound

This paper cites Mm algorithms for generalized bradley-terry models.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Mm algorithms for generalized bradley-terry models

Reference 15

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raw_fallback, observed 2026-08-10T16:39:51.629058Z

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.

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Observation ddaa7df3-ee01-43d7-a54e-93da84f9b80f · outbound

This paper cites Regression shrinkage and selection via the lasso.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Regression shrinkage and selection via the lasso

Reference 16

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:39:50.371761Z digest=sha256:48e1e09f61d16432ae8000f4410f0a218c1498673555ffa87084e585f9965365

Observation d3cdf829-1f29-4826-9883-30bd3c2f1d69 · outbound

This paper cites A sequential algorithm for false discovery rate control on directed acyclic graphs.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs A sequential algorithm for false discovery rate control on directed acyclic graphs

Reference 17

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

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Observation 3358353a-4074-453a-9427-12b229aecaaa · outbound

This paper cites Random search for hyper-parameter optimization.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Random search for hyper-parameter optimization

Reference 18

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source=arxiv_source observed=2026-08-10T16:39:50.382838Z digest=sha256:a4036ef0da581cfc7fbc372671f9e62408549acf508509c676e6f1f330ee1653

Observation 02a1fc7b-5b39-4d4d-b2bc-cbd290c90735 · outbound

This paper cites HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO

Reference 19

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source=arxiv_source observed=2026-08-10T16:39:50.388415Z digest=sha256:27d884a66845c9bbd1ff64dd2d4af302c317c4acc9c2a6f8eda41c516e5c60ba

Observation 7318998d-08f6-4f86-90b1-1725c8e70151 · outbound

This paper cites Bohb: Robust and efficient hyperparameter optimization at scale.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Bohb: Robust and efficient hyperparameter optimization at scale

Reference 20

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raw_fallback, observed 2026-08-10T16:39:51.567201Z

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.

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Observation d08fd74f-8710-4da9-b1db-5d0ff699d7af · outbound

This paper cites DEHB: evolutionary hyberband for scalable, robust and efficient hyperparameter optimization.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs DEHB: evolutionary hyberband for scalable, robust and efficient hyperparameter optimization

Reference 21

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

source=arxiv_source observed=2026-08-10T16:39:50.400418Z digest=sha256:d535ae304c525ecf6acee662260aa9221a1f6ac9eeee73ca9edd0301d1ee07db

Observation 7246c668-9936-4d9c-a33a-f87bfcec4a23 · outbound

This paper cites A Survey on LLM-as-a-Judge.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs A Survey on LLM-as-a-Judge

Reference 22

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source=arxiv_source observed=2026-08-10T16:39:50.406245Z digest=sha256:462374fc67c3cd1cd94119df40ac2e6d958d034ec733c6de435fed0a63d95ae3

Observation 0aa5deb9-37d6-4732-8f77-42ee173fb71f · outbound

This paper cites Multi-objective optimization.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Multi-objective optimization

Reference 23

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

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Observation 12fb585e-bfc0-433a-a902-5b78312bebc3 · outbound

This paper cites Non-stochastic best arm identification and hyperparameter optimization.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Non-stochastic best arm identification and hyperparameter optimization

Reference 24

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Observation d5978648-e8a7-46a5-bd32-db4aa85bb83b · outbound

This paper cites an unresolved cited work.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Unresolved cited work

Reference 25

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

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Observation 843e0549-7e32-4ace-b583-f55db712b03b · outbound

This paper cites Statistical inference.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Statistical inference

Reference 26

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

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Observation 515ed1c7-955b-4b25-b8cf-4db3f3c8f590 · outbound

This paper cites Pattern recognition and machine learning , volume 4.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Pattern recognition and machine learning , volume 4

Reference 27

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:39:50.433823Z digest=sha256:4a46f79ea1bb7a34dd697e1fd04be6056e22d2f8e239cefbb60a6f91df41e3f7

Observation a69d8e68-a687-45a4-8415-e9f57941ed00 · outbound

This paper cites Algorithms for clustering data.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Algorithms for clustering data

Reference 28

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raw_fallback, observed 2026-08-10T16:39:51.437942Z

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

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Observation 838936ab-bc24-49ed-8683-bf80e212b61c · outbound

This paper cites Smoothing and shrinking the sparse seq2seq search space.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Smoothing and shrinking the sparse seq2seq search space

Reference 29

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raw_fallback, observed 2026-08-10T16:39:51.412649Z

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

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Observation ea46b4ef-5f6a-4882-aee6-dcb493b8ec1e · outbound

This paper cites Wireless Suite: A collection of problems in wireless telecommunications.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Wireless Suite: A collection of problems in wireless telecommunications

Reference 30

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raw_fallback, observed 2026-08-10T16:39:51.392416Z

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

source=arxiv_source observed=2026-08-10T16:39:50.450085Z digest=sha256:9fbc2414057da14cdc6551c30170d642f125529f4d3bc05b1a2acfe3f1242e8c

Observation 41d438bc-61b6-4d06-b42c-e7c62efad4da · outbound

This paper cites Controlling the false discovery rate: a practical and powerful approach to multiple testing.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Controlling the false discovery rate: a practical and powerful approach to multiple testing

Reference 31

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raw_fallback, observed 2026-08-10T16:39:51.374094Z

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.

source=arxiv_source observed=2026-08-10T16:39:50.457013Z digest=sha256:b848bbeb32a80ebd11490168b00e6712a2e5cee87b6945defa5538d5f24bdb60

Observation 891889f8-abc8-42f2-bc46-d734a7b556c9 · outbound

This paper cites Sarkar, and Helmut Finner.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Sarkar, and Helmut Finner

Reference 32

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raw_fallback, observed 2026-08-10T16:39:51.352367Z

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

source=arxiv_source observed=2026-08-10T16:39:50.463241Z digest=sha256:d3d61ddaea85ff9fe2275332eddd2cd340854d650a29fc4f81617d205a03cc82

Observation c3997503-25fe-4a0f-954f-93a3386ddb14 · outbound

This paper cites SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:39:50.468587Z digest=sha256:03d6011d492ee4dc50e6bd008320e822cb87b9ddd2d89612239bd9315a01eda5

Observation c43dc649-930c-4b4a-9775-b1b39a8ddd72 · outbound

This paper cites WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations

Reference 34

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:39:50.474119Z digest=sha256:a3fa7c6f87b518dd844b714905e6f53e7beaecd8c5b83c0773548f64deeb90e6

Observation c42045fd-44dc-4146-a59c-d4174be261ae · outbound

This paper cites Large language models are human-level prompt engineers.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Large language models are human-level prompt engineers

Reference 35

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raw_fallback, observed 2026-08-10T16:39:51.329341Z

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.

source=arxiv_source observed=2026-08-10T16:39:50.480741Z digest=sha256:c3e2cf2ccfffeaf943f258df6a874f84be93a42181eb2c629e2502defe05d086

Observation 4e8e0c8b-db06-492b-8647-5318919529fb · outbound

This paper cites an unresolved cited work.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Unresolved cited work

Reference 36

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raw_fallback, observed 2026-08-10T16:39:51.306159Z

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.

source=arxiv_source observed=2026-08-10T16:39:50.486701Z digest=sha256:a4412d0bf2fe026164a43c896ea73de8aa409acb3a72a783b2c34eb82dc4b99a

Observation 11c5aa48-f6fa-4606-b496-c0990ea6ee99 · outbound

This paper cites The Llama 3 Herd of Models.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs The Llama 3 Herd of Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T16:39:50.493618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:39:50.493618Z digest=sha256:93df0cb3713ee11acd2134504f44a7ca9642d7a5647b5bbe418ce5c27174f0da

Observation 71cfd564-17d6-47f4-8ab6-e2573e2f4d8c · outbound

This paper cites GPT-4 technical report , 2023.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs GPT-4 technical report , 2023

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:39:51.284765Z

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.

source=arxiv_source observed=2026-08-10T16:39:50.498820Z digest=sha256:b92d741eac8783ce8e9f05df414ad11ce040735fb1a082723453ef496b0e5f2f

Observation d887f9f7-bb2c-4921-a835-6341381694e3 · outbound

This paper cites Findings of the 2016 conference on machine translation.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Findings of the 2016 conference on machine translation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:39:51.263062Z

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.

source=arxiv_source observed=2026-08-10T16:39:50.503805Z digest=sha256:a97280ac8cff10be886629da5820cb80f5eae647a9f1431b2b40c2e7bc38b1e9

Observation 1cc796df-25e6-4a96-805c-8c9672446d78 · outbound

This paper cites BLEU: a method for automatic evaluation of machine translation.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs BLEU: a method for automatic evaluation of machine translation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:39:51.244362Z

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.

source=arxiv_source observed=2026-08-10T16:39:50.509513Z digest=sha256:291ea736a6c9a11c7d630cb7483bd4f4f244d19f4feaa556bc06534ad69465b4

Observation db727329-7efa-474a-8955-de7a2a9190b8 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Rouge: A package for automatic evaluation of summaries

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T16:39:50.518132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:39:50.518132Z digest=sha256:f4e6e8e5d0235f7032d15a6609387a61f08980a6accafc79b743a15d32ebc26a

Observation 6972315d-8681-48b7-adcc-86b87fe492de · outbound

This paper cites Subword regularization: Improving neural network translation models with multiple subword candidates.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Subword regularization: Improving neural network translation models with multiple subword candidates

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:39:51.207746Z

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.

source=arxiv_source observed=2026-08-10T16:39:50.523733Z digest=sha256:88be7567167722d8a6bf22eb8440368d9390698572e9294e64ddf5fea385bf19

Observation aed6556c-8405-43d1-8db4-ff31b1a6e037 · outbound

This paper cites Sparse sequence-to-sequence models.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Sparse sequence-to-sequence models

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:39:51.188357Z

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.

source=arxiv_source observed=2026-08-10T16:39:50.529658Z digest=sha256:e89f483d5231b1b44526e72ad119815496e986feaf3975f33a3ba5586f32e4a6

Observation 5d3bfbad-4a7f-4be8-b7e2-2cabd8b8cd74 · outbound

This paper cites From softmax to sparsemax: A sparse model of attention and multi-label classification.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs From softmax to sparsemax: A sparse model of attention and multi-label classification

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:39:51.168764Z

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.

source=arxiv_source observed=2026-08-10T16:39:50.535625Z digest=sha256:af7952dd0d28e1c3b75bec321bdc2fec36b0ab3c92f68375a13f2b101ac0d13d

Observation a1db8785-087a-4178-b053-2f4fae4b0fc2 · outbound

This paper cites Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T16:39:50.540958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:39:50.540958Z digest=sha256:c6ff45f0b605c6b8cdcf45450174144babbdeabfff85191c1412ed2feab6d9b5

Observation 7e383ca2-24a0-40a7-aa28-48632b2d9904 · outbound

This paper cites The control of the false discovery rate in multiple testing under dependency.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs The control of the false discovery rate in multiple testing under dependency

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:39:51.148296Z

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.

source=arxiv_source observed=2026-08-10T16:39:50.546586Z digest=sha256:4eb9fdf61af586b67b7d1297f50e7ab9330efeeeae9ae124d7638e5b93f00560

Observation dbef9253-6e12-4323-95b0-39e44dbda9e1 · outbound

This paper cites Modern hierarchical, agglomerative clustering algorithms.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Modern hierarchical, agglomerative clustering algorithms

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T16:39:50.552599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:39:50.552599Z digest=sha256:2d7a897497010c2e74af0514cc2fa0da8e9339f24ac551f84d53e6dc3ad80577

Observation 13d54009-535e-491b-8e6b-128e476ec2de · outbound

This paper cites Regularization paths for generalized linear models via coordinate descent.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Regularization paths for generalized linear models via coordinate descent

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:39:51.126215Z

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.

source=arxiv_source observed=2026-08-10T16:39:50.560290Z digest=sha256:e8a46ffb659ae81c20188e76266e0db8aeed0cb714a345c04dc332d9a5488485

Observation 3190c825-b2aa-44a7-a490-c39bd705cb7c · outbound

This paper cites Hyperparameter optimization in machine learning.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Hyperparameter optimization in machine learning

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T16:39:50.566603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:39:50.566603Z digest=sha256:1111138fe576e642e4a0f76e3b0e44a2a45bc6851f35f96b69b963ca6f414f45

Observation 824d1754-e496-4578-9d2a-02a5a93d1c1b · outbound

This paper cites Microsoft COCO: Common objects in context.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Microsoft COCO: Common objects in context

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:39:51.102350Z

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.

source=arxiv_source observed=2026-08-10T16:39:50.572525Z digest=sha256:ba5b0df3477b9d822f750c9254768e2beed2e3efcc36526822727e70467ac98a

Observation 9dad12a8-0602-4422-99a6-617bd8cdbcdb · outbound

This paper cites Detectron2.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Detectron2

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:39:51.080179Z

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.

source=arxiv_source observed=2026-08-10T16:39:50.578844Z digest=sha256:a54e03b67cdce06adca0433a3e9ba26a19bd837b05dcd573ad03fb5e5db12231

Observation f8fb17ac-c8aa-4eee-b8d2-cbd5671e8fd0 · outbound

This paper cites Evaluation: from precision, recall and f-measure to roc, informedness, markedness & correlation.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Evaluation: from precision, recall and f-measure to roc, informedness, markedness & correlation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:39:51.056625Z

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.

source=arxiv_source observed=2026-08-10T16:39:50.584271Z digest=sha256:a51262ed4457efb60958beacd1e2e9e3213e62ea9ec18027e24bf525778c97c6

Observation 7b132d23-a1a2-4bb3-bf7c-0f31fa79000c · outbound

This paper cites Bayesian optimization of text representations.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Bayesian optimization of text representations

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:39:51.029108Z

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.

source=arxiv_source observed=2026-08-10T16:39:50.589325Z digest=sha256:ea6f035fe69580d6bba70e917dfb6b3be519917bd50e2a226b7805ce18dc7146

Observation 60c6ad3f-43e1-4640-b972-49fe82950dc9 · outbound

This paper cites Radio Access Scheduling using CMA-ES for optimized QoS in wireless networks.

Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Radio Access Scheduling using CMA-ES for optimized QoS in wireless networks

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:39:51.005441Z

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.

source=arxiv_source observed=2026-08-10T16:39:50.594655Z digest=sha256:0f0c8571b79555479e5afdf5b13d3f94260a095aa638f88a7276eac8ca6df5b4

Pith citing papers

Observation 61d3efdb-320a-4fae-aece-24f4143d4be3 · inbound

Ensuring Reliability via Hyperparameter Selection: Review and Advances cites this paper.

Ensuring Reliability via Hyperparameter Selection: Review and Advances Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-08T23:15:31.993359Z

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.

source=pdf_text observed=2026-08-08T23:15:31.747397Z digest=sha256:0cdffa761176adc7c056ce0af240fbf8413875e89dbcd9738c9c2ccbd3288647