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Paper Citation Record · LEDGER

Benchmarking in Optimization: Best Practice and Open Issues

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2007.03488.

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

pith.paper-citation-record.v1
2007.03488 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:38:52.766499Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

81
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8f5b9b41-f818-4aec-895d-be45842aefef · inbound

How NOT to Fool the Masses When Giving Performance Results for Quantum Computers cites this paper.

How NOT to Fool the Masses When Giving Performance Results for Quantum Computers Benchmarking in Optimization: Best Practice and Open Issues

Reference 14

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no resolver link, observed 2026-08-12T21:21:28.961525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:21:28.961525Z digest=sha256:03a2179d4421d6f9263b47774b46cec63d4850554ff46ce47eb8fb1f86ca0f46

Observation 5c9de061-6e3a-4c1b-be3f-9899495688ea · inbound

BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices cites this paper.

BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices Benchmarking in Optimization: Best Practice and Open Issues

Reference 10

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no resolver link, observed 2026-08-12T17:01:31.274747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:01:31.274747Z digest=sha256:ef2b3918903f9da6e4ec6a69fd329f34cda5b54cb5be67554cd31dea7c3b785d

Observation 6a11a392-f6f5-4e89-8127-98f453d3d61e · inbound

Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation cites this paper.

Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation Benchmarking in Optimization: Best Practice and Open Issues

Reference 9

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no resolver link, observed 2026-08-08T15:06:54.755116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T15:06:54.755116Z digest=sha256:63654770130b2243eb198e7fbdc956804bca7412cf803b34e287f716011ccc23

Observation 6bab795b-5d7a-4aac-b1bf-15429b04ebec · inbound

Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms cites this paper.

Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms Benchmarking in Optimization: Best Practice and Open Issues

Reference 6

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no resolver link, observed 2026-08-09T23:48:17.782842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T23:48:17.782842Z digest=sha256:95add4ed3ea8969eb4a6e2fba7f48551217e4e4a59de4bc1e7ffa52b13d3f789

Observation 3aa0701f-3724-4fd4-b93e-0f8dd62e6184 · inbound

BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics cites this paper.

BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics Benchmarking in Optimization: Best Practice and Open Issues

Reference 2

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no resolver link, observed 2026-08-16T05:38:52.766499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:38:52.766499Z digest=sha256:ef0465af3acc2a232c1aa594bd5527b140a0f4a545f6f18b91c9024eaf63d894

Observation 839d5e7a-2110-4da7-9f92-836957bfcb98 · inbound

The Leaderboard Illusion cites this paper.

The Leaderboard Illusion Benchmarking in Optimization: Best Practice and Open Issues

Reference 8

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no resolver link, observed 2026-08-16T05:22:55.390379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:22:55.390379Z digest=sha256:f1d8fa4209bb7f5052050ca85207492dd0cd3dab8411f5b45228f92c525c8cdf

Observation cd4417bd-cfac-49e1-8adb-b89e99dc0b0a · inbound

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows cites this paper.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Benchmarking in Optimization: Best Practice and Open Issues

Reference 2022

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no resolver link, observed 2026-08-15T23:34:30.061937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:34:30.061937Z digest=sha256:bb382181b4c4b0c1b057d3be59a6aac5eeb9e163290061f0d37d5d828439f9c0

Observation 6218c146-8d0c-4b12-88bb-702c6044382d · inbound

A Standardized Benchmark Set of Clustering Problem Instances for Comparing Black-Box Optimizers cites this paper.

A Standardized Benchmark Set of Clustering Problem Instances for Comparing Black-Box Optimizers Benchmarking in Optimization: Best Practice and Open Issues

Reference 3

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unresolved
no resolver link, observed 2026-08-15T21:41:14.848157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:41:14.848157Z digest=sha256:4d266e2b62869552ca2fd45f79a23063443674faebd66a0e40d2aa4e26172e13

Observation 9832cd89-e843-417e-b7c3-0a729dc1be8d · inbound

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications cites this paper.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications Benchmarking in Optimization: Best Practice and Open Issues

Reference 102

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no resolver link, observed 2026-08-07T15:14:14.368704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:14.368704Z digest=sha256:c7f29f08cd4cc0d54b7b85d32969f9f41be6ba1f50e16f95c2a2f654df0fefa1

Observation 83ff0f77-70fa-4924-a1b6-106c7146c4a6 · inbound

Adaptive Estimation of the Number of Algorithm Runs in Stochastic Optimization cites this paper.

Adaptive Estimation of the Number of Algorithm Runs in Stochastic Optimization Benchmarking in Optimization: Best Practice and Open Issues

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T20:52:33.652339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:52:33.652339Z digest=sha256:12393bed340efa2d9026a496ce79762dc34ef7244e64379414b039979d61dae2

Observation e81509b0-9a7a-47f2-8373-064ac0d04679 · inbound

Time-Fair Benchmarking for Metaheuristics: A Restart-Fair Protocol for Fixed-Time Comparisons cites this paper.

Time-Fair Benchmarking for Metaheuristics: A Restart-Fair Protocol for Fixed-Time Comparisons Benchmarking in Optimization: Best Practice and Open Issues

Reference 1

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no resolver link, observed 2026-08-04T19:55:37.749997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:55:37.749997Z digest=sha256:2bb7be9ab4b321dfa67477604faf07d099bab11f780cc364e0d7384148df652e

Observation dfadd84a-1e3c-4320-b1f5-c1fef273b345 · inbound

Large-scale benchmarking of multi-objective soft-computing metaheuristics for redundancy allocation in repairable k-out-of-n systems cites this paper.

Large-scale benchmarking of multi-objective soft-computing metaheuristics for redundancy allocation in repairable k-out-of-n systems Benchmarking in Optimization: Best Practice and Open Issues

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-03T15:03:59.523369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:03:59.523369Z digest=sha256:bbac555a721fdcd820514b754f194da9c54cbe5589ac7d0e16ebd1581eeee91f

Observation 4da50941-ef9c-43a8-a0b1-eed7e70ddffe · inbound

From Heuristic Selection to Automated Algorithm Design: LLMs Benefit from Strong Priors cites this paper.

From Heuristic Selection to Automated Algorithm Design: LLMs Benefit from Strong Priors Benchmarking in Optimization: Best Practice and Open Issues

Reference 7

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unresolved
no resolver link, observed 2026-08-02T19:18:47.283722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:18:47.283722Z digest=sha256:9b06219062734bf31122cf8ce9fed0399e4990b18edee40a38476cfe61fd0dad

Observation 3ae70280-6bc4-40dd-96d0-e435ba5c8dc1 · inbound

Block-Bench: A Framework for Controllable and Transparent Discrete Optimization Benchmarking cites this paper.

Block-Bench: A Framework for Controllable and Transparent Discrete Optimization Benchmarking Benchmarking in Optimization: Best Practice and Open Issues

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:45:57.835456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T17:57:59.478094Z digest=sha256:26441db9a5ee2ce579ac39d4b836610150909bac7306f1542b4e37964a37bdf2

Observation 7b169012-40be-46a4-896b-7431fd2f924c · inbound

SPEC CPU: The Next Generation cites this paper.

SPEC CPU: The Next Generation Benchmarking in Optimization: Best Practice and Open Issues

Reference 68

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verified exact
arxiv_id, observed 2026-05-11T11:06:01.910719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T15:10:14.015833Z digest=sha256:97f8d3622b45ac9896a6e6e4ed712f1ca2fb5c694e665ffed10e187c7581ec2d

Observation f850d22d-e0bd-493b-8caa-5abe68a7a476 · inbound

Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization cites this paper.

Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization Benchmarking in Optimization: Best Practice and Open Issues

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:13:30.378869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T14:04:14.589829Z digest=sha256:fb2edc6c51f704deef67615eaa773ac3f37d7ff047e2e2ad521c3a613fe8a943

Observation fffbc3d7-f515-493e-8edb-3d6d83697c2e · inbound

Improving Evaluation of Recombination-based Cartesian Genetic Programming cites this paper.

Improving Evaluation of Recombination-based Cartesian Genetic Programming Benchmarking in Optimization: Best Practice and Open Issues

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-29T09:33:17.374478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T09:29:53.574405Z digest=sha256:3a780fa7283e5ba3590ce196d26fd03b185d0168cb5e64fbe10e80f4c502c402

Observation 85ff7dc3-577d-4883-b435-ba4af4b92173 · inbound

Asymmetry PRISM: A CPU/GPU Portfolio Optimization Engine for Deadline-Bounded Institutional Rebalancing cites this paper.

Asymmetry PRISM: A CPU/GPU Portfolio Optimization Engine for Deadline-Bounded Institutional Rebalancing Benchmarking in Optimization: Best Practice and Open Issues

Reference 4

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verified exact
arxiv_id, observed 2026-07-04T12:49:52.929709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T05:51:00.111239Z digest=sha256:d65bdb8c869eb6ce8e2e20e5e2d55646263ee5995c9505b668dccd40f20b75ab

Observation bb4464d7-c67d-4fac-abc2-313cda0ddd26 · inbound

Standardizing case study descriptions for multi-energy systems and networks modeling cites this paper.

Standardizing case study descriptions for multi-energy systems and networks modeling Benchmarking in Optimization: Best Practice and Open Issues

Reference 24

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verified exact
arxiv_id, observed 2026-07-01T04:35:20.343205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-01T04:34:58.217736Z digest=sha256:a57ff689622aa7bc4e027785ef2bdd8c5fac85429b798c87620a70f8485e692a

Observation 88aaaa8c-73de-4d25-ac65-01db0df989c7 · inbound

Sensitivity of hMPA to Controlled CEC 2017 Transformations cites this paper.

Sensitivity of hMPA to Controlled CEC 2017 Transformations Benchmarking in Optimization: Best Practice and Open Issues

Reference 4

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no resolver link, observed 2026-08-15T15:36:19.814764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:36:19.814764Z digest=sha256:f8753d2ee86c226faf2ef99cf321449af6a8c8d04cccc2e68fae56f12b34d3b2