Paper Citation Record · LEDGER

Feature Generation Using LLMs: An Evolutionary Algorithm Approach

As of 8 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.16255.

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

pith.paper-citation-record.v1
2607.16255 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T09:47:32.255134Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

40 of 40 outbound references displayed

verified exact1
verified fuzzy0
unresolved39
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fa6dca70-6cf0-4278-949b-62ff56498c75 · outbound

This paper cites UCI Machine Learning Repository (1992), DOI: https://doi.org/10.24432/C5PC7J.

Feature Generation Using LLMs: An Evolutionary Algorithm Approach UCI Machine Learning Repository (1992), DOI: https://doi.org/10.24432/C5PC7J

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:29.166019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf9c8779-e9c0-498a-b366-13b4c4e7c92b · outbound

This paper cites Large Language Models for Mathematical Reasoning: Progresses and Challenges.

Feature Generation Using LLMs: An Evolutionary Algorithm Approach Large Language Models for Mathematical Reasoning: Progresses and Challenges

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:29.204988Z

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Unavailable: canonical work link unavailable.

Observation 7d130274-81e8-4cda-950c-4f78e36f08b0 · outbound

This paper cites Princeton University Press, Princeton (1957).

Feature Generation Using LLMs: An Evolutionary Algorithm Approach Princeton University Press, Princeton (1957)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:29.268147Z

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Unavailable: canonical work link unavailable.

Observation 3c5dbd51-2bbb-49a8-84fd-f79a7e07e190 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence 35(8), 1798–1828 (2013).https://doi.org/10.1109/TPAMI.2013.50.

Feature Generation Using LLMs: An Evolutionary Algorithm Approach IEEE Transactions on Pattern Analysis and Machine Intelligence 35(8), 1798–1828 (2013).https://doi.org/10.1109/TPAMI.2013.50

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:29.379638Z

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Unavailable: canonical work link unavailable.

Observation e20e3070-84be-462d-860f-1645543aa460 · outbound

This paper cites UCI Machine Learning Repository (1997), DOI: https://doi.org/10.24432/C5JP48.

Feature Generation Using LLMs: An Evolutionary Algorithm Approach UCI Machine Learning Repository (1997), DOI: https://doi.org/10.24432/C5JP48

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:29.491059Z

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Unavailable: canonical work link unavailable.

Observation 7d9d9b24-b2e2-455a-b83e-d69d66570d25 · outbound

This paper cites ACM Transactions on Intelligent Systems and Technology15(3), 1–45 (2024).

Feature Generation Using LLMs: An Evolutionary Algorithm Approach ACM Transactions on Intelligent Systems and Technology15(3), 1–45 (2024)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:29.553455Z

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Observation d79100bc-252f-45c4-8c04-eddeaaf5cceb · outbound

This paper cites In: Proceedings of the fourteenth international conference on ar- tificial intelligence and statistics.

Feature Generation Using LLMs: An Evolutionary Algorithm Approach In: Proceedings of the fourteenth international conference on ar- tificial intelligence and statistics

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:29.631994Z

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Observation f43a345f-d48b-41e3-831e-496d7f91cf19 · outbound

This paper cites Digital4(1), 114–125 (2024).

Feature Generation Using LLMs: An Evolutionary Algorithm Approach Digital4(1), 114–125 (2024)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:29.650146Z

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Observation 89620e66-8e23-434f-82da-210dd5d25b66 · outbound

This paper cites Intelligent data analysis1(1- 4), 131–156 (1997).

Feature Generation Using LLMs: An Evolutionary Algorithm Approach Intelligent data analysis1(1- 4), 131–156 (1997)

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:29.708670Z

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Unavailable: canonical work link unavailable.

Observation 6b5f7f5e-17e3-46d4-895c-8ac26e735c92 · outbound

This paper cites Infor- mation Sciences189, 176–190 (2012).

Feature Generation Using LLMs: An Evolutionary Algorithm Approach Infor- mation Sciences189, 176–190 (2012)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:29.789740Z

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Observation 87f2580e-4db6-4443-9e5f-6dd854e5a7f2 · outbound

This paper cites The Llama 3 Herd of Models.

Feature Generation Using LLMs: An Evolutionary Algorithm Approach The Llama 3 Herd of Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:29.824977Z

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Observation dc76a7fb-3fc7-4c9a-bc1c-e28a69486372 · outbound

This paper cites In: Salakhutdinov, R., Kolter, Z., Heller, K., Weller, A., Oliver, N., Scarlett, J., Berkenkamp, F.

Feature Generation Using LLMs: An Evolutionary Algorithm Approach In: Salakhutdinov, R., Kolter, Z., Heller, K., Weller, A., Oliver, N., Scarlett, J., Berkenkamp, F

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:29.954932Z

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Observation 3a97d6a0-091a-46fd-8947-9a88b893417b · outbound

This paper cites In: SoutheastCon 2016.

Feature Generation Using LLMs: An Evolutionary Algorithm Approach In: SoutheastCon 2016

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:29.984110Z

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Observation fcca538d-f277-4105-a35d-26eeeff9f5c2 · outbound

This paper cites LLM-Select: Feature Selection with Large Language Models.

Feature Generation Using LLMs: An Evolutionary Algorithm Approach LLM-Select: Feature Selection with Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:30.036304Z

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Observation 0eb3aa2f-f95c-4f3c-af14-4d5c2c5a337f · outbound

This paper cites Cureus15(5) (2023).

Feature Generation Using LLMs: An Evolutionary Algorithm Approach Cureus15(5) (2023)

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:30.094934Z

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Observation e87671e2-e1c3-4b40-8167-7770fa36b4ed · outbound

This paper cites In: 2016 IEEE 16th international conference on data mining (ICDM).

Feature Generation Using LLMs: An Evolutionary Algorithm Approach In: 2016 IEEE 16th international conference on data mining (ICDM)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:30.166787Z

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Observation a949e92d-3c02-4c53-9e47-f8ab04d41636 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Feature Generation Using LLMs: An Evolutionary Algorithm Approach In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:30.201958Z

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Observation bb84b225-a68d-47e3-b756-6bc5aa05bb5f · outbound

This paper cites In: 2016 IEEE 16th international con- ference on data mining workshops (ICDMW).

Feature Generation Using LLMs: An Evolutionary Algorithm Approach In: 2016 IEEE 16th international con- ference on data mining workshops (ICDMW)

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:30.278930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31c71f3c-35b0-4a5a-a12f-dd5f2d9f4cb2 · outbound

This paper cites Exploring Large Language Models for Feature Selection: A Data-centric Perspective.

Feature Generation Using LLMs: An Evolutionary Algorithm Approach Exploring Large Language Models for Feature Selection: A Data-centric Perspective

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:30.459104Z

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Observation 86beceaa-ba1f-4a3a-875a-228e95cff720 · outbound

This paper cites In: Proceedings of the fourth ACM international conference on AI in finance.

Feature Generation Using LLMs: An Evolutionary Algorithm Approach In: Proceedings of the fourth ACM international conference on AI in finance

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:30.641824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25e683fb-48f3-4321-8200-0dc96ec2cb06 · outbound

This paper cites Advances in Neural Information Processing Systems36(2024).

Feature Generation Using LLMs: An Evolutionary Algorithm Approach Advances in Neural Information Processing Systems36(2024)

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:30.697779Z

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Observation 9df00007-bb49-4dd0-8432-a4619a5e4924 · outbound

This paper cites UCI Machine Learning Repository (2011), DOI: https://doi.org/10.24432/C55C88.

Feature Generation Using LLMs: An Evolutionary Algorithm Approach UCI Machine Learning Repository (2011), DOI: https://doi.org/10.24432/C55C88

Reference 22

Resolution: verified exact; doi, observed 2026-08-02T09:48:19.744740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4578359e-bcfe-4adf-98b3-dc21b5db7484 · outbound

This paper cites Machine Learning49, 59–98 (2002).

Feature Generation Using LLMs: An Evolutionary Algorithm Approach Machine Learning49, 59–98 (2002)

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:30.967054Z

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Observation cd9ed397-8501-4223-a523-68017cd021c7 · outbound

This paper cites arXiv preprint arXiv:2302.12170 (2023).

Feature Generation Using LLMs: An Evolutionary Algorithm Approach arXiv preprint arXiv:2302.12170 (2023)

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:31.105271Z

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Observation 2ea9e5bc-c95e-46ec-8a06-8fe6ee926890 · outbound

This paper cites Communica- tion of IICM (Institute of Information and Computing Machinery, Taiwan)5(67- 72), 2 (2002).

Feature Generation Using LLMs: An Evolutionary Algorithm Approach Communica- tion of IICM (Institute of Information and Computing Machinery, Taiwan)5(67- 72), 2 (2002)

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:31.139519Z

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Observation a133f8d9-74a0-4ee0-8137-418234e64dd3 · outbound

This paper cites UCI Machine Learning Repository (1995), DOI: https://doi.org/10.24432/C55C7W.

Feature Generation Using LLMs: An Evolutionary Algorithm Approach UCI Machine Learning Repository (1995), DOI: https://doi.org/10.24432/C55C7W

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:31.182708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85382792-b7e0-40f4-9474-974d1ae7b836 · outbound

This paper cites ACM Journal of Data and Information Quality15(2), 1–21 (2023).

Feature Generation Using LLMs: An Evolutionary Algorithm Approach ACM Journal of Data and Information Quality15(2), 1–21 (2023)

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:31.247000Z

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Observation 73fe9737-055e-45ba-9307-f13e5bc89846 · outbound

This paper cites Journal of Machine Learning Research12, 2825–2830 (2011).

Feature Generation Using LLMs: An Evolutionary Algorithm Approach Journal of Machine Learning Research12, 2825–2830 (2011)

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:31.305355Z

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Observation 63dac49c-2540-490e-8ff3-2554d08185d2 · outbound

This paper cites UCI Machine Learning Repository (2021), DOI: https://doi.org/10.24432/C5MC89.

Feature Generation Using LLMs: An Evolutionary Algorithm Approach UCI Machine Learning Repository (2021), DOI: https://doi.org/10.24432/C5MC89

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:31.386915Z

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Observation c2671e1b-282f-4cc3-9da8-acc1ee9ee1da · outbound

This paper cites Nature625(7995), 468–475 (2024) Feature Generation Using LLMs: An Evolutionary Algorithm Approach 17.

Feature Generation Using LLMs: An Evolutionary Algorithm Approach Nature625(7995), 468–475 (2024) Feature Generation Using LLMs: An Evolutionary Algorithm Approach 17

Reference 30

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Observation 6141ad78-afe9-4214-afb5-18977dbde997 · outbound

This paper cites In: Proceedings of the 7th Annual Conference on Genetic and Evolutionary Computation.

Feature Generation Using LLMs: An Evolutionary Algorithm Approach In: Proceedings of the 7th Annual Conference on Genetic and Evolutionary Computation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:31.491278Z

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Observation 828cc336-3ad7-489d-a903-763693ed329a · outbound

This paper cites In: Machine Learning Proceedings 1991, pp.

Feature Generation Using LLMs: An Evolutionary Algorithm Approach In: Machine Learning Proceedings 1991, pp

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:31.555080Z

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Observation ab457aad-4725-4548-964c-7176b7abf63f · outbound

This paper cites Data classification: Algorithms and applications p.

Feature Generation Using LLMs: An Evolutionary Algorithm Approach Data classification: Algorithms and applications p

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:31.674539Z

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Observation a5fbd63d-87e9-4ee3-9cae-63050b933963 · outbound

This paper cites an unresolved cited work.

Feature Generation Using LLMs: An Evolutionary Algorithm Approach Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:31.750204Z

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Observation d4f0c505-a029-465d-8a9d-a1abd0f1035d · outbound

This paper cites an unresolved cited work.

Feature Generation Using LLMs: An Evolutionary Algorithm Approach Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:31.841098Z

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Observation 76bc3365-86a7-4445-a58e-772dc477d3d7 · outbound

This paper cites UCI Machine Learning Repository (1989), DOI: https://doi.org/10.24432/C5W01B.

Feature Generation Using LLMs: An Evolutionary Algorithm Approach UCI Machine Learning Repository (1989), DOI: https://doi.org/10.24432/C5W01B

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:31.930492Z

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Unavailable: canonical work link unavailable.

Observation 26d3932d-fb30-43e9-87d9-ec69575733b0 · outbound

This paper cites In: Proceedings of the 10th SIGHAN Workshop on Chinese Language Processing (SIGHAN-10).

Feature Generation Using LLMs: An Evolutionary Algorithm Approach In: Proceedings of the 10th SIGHAN Workshop on Chinese Language Processing (SIGHAN-10)

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:32.018790Z

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Observation 3cda9d59-7a8d-494e-a79b-c612e0e7deef · outbound

This paper cites UCI Machine Learning Repository (1992), DOI: https://doi.org/10.24432/C5R30R.

Feature Generation Using LLMs: An Evolutionary Algorithm Approach UCI Machine Learning Repository (1992), DOI: https://doi.org/10.24432/C5R30R

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:32.097010Z

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Unavailable: canonical work link unavailable.

Observation 835bfb6b-bb81-4005-82c8-0b9faa76f006 · outbound

This paper cites Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap.

Feature Generation Using LLMs: An Evolutionary Algorithm Approach Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:32.166828Z

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Unavailable: canonical work link unavailable.

Observation ea0c47bd-a561-474d-8a38-0da73ce3a4e1 · outbound

This paper cites arXiv preprint arXiv:2406.03505 (2024).

Feature Generation Using LLMs: An Evolutionary Algorithm Approach arXiv preprint arXiv:2406.03505 (2024)

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T09:47:32.255134Z

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Pith citing papers

No inbound Pith citation observations are available.