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Paper Citation Record · LEDGER

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms

As of 17 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 4 inbound Pith citation observations for arXiv:2412.03250.

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

pith.paper-citation-record.v1
2412.03250 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:40:22.995663Z

measured 28 of 28 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:38:53.535446Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:26:29.702789Z

Reference resolution

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ab132f93-9e3a-41e2-b78f-e76f621ea9bb · outbound

This paper cites GPT-4 Technical Report.

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms GPT-4 Technical Report

Reference 1

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no resolver link, observed 2026-08-11T22:40:22.045544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8c81ffce-a082-49b3-b87e-cb70e7179429 · outbound

This paper cites In: International Conference on Parallel Problem Solving from Nature.

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms In: International Conference on Parallel Problem Solving from Nature

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-11T22:40:25.824746Z

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=2026-08-11T22:40:22.084757Z digest=sha256:52e0fb0134d38fa4cc478f1e8080f02deba954ed6230e5e24abc66cdadd94b98

Observation b283ac9a-e485-4cfd-9d0f-4980f6dec078 · outbound

This paper cites Evolutionary computation1(1), 1–23 (1993).

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms Evolutionary computation1(1), 1–23 (1993)

Reference 3

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raw_fallback, observed 2026-08-11T22:40:25.674758Z

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.

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Observation ed7ef45d-cdea-4868-ae07-fa2c0375d00e · outbound

This paper cites Natural computing 1, 3–52 (2002).

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms Natural computing 1, 3–52 (2002)

Reference 4

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raw_fallback, observed 2026-08-11T22:40:25.545412Z

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.

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Observation 12fe7bb2-14c8-41a7-923f-6cf77e1a38b9 · outbound

This paper cites In: Parallel Problem Solving from Nature, PPSN XI: 11th International Conference, Kraków, Poland, September 11-15, 2010, Proceed- ings, Part I 11.

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms In: Parallel Problem Solving from Nature, PPSN XI: 11th International Conference, Kraków, Poland, September 11-15, 2010, Proceed- ings, Part I 11

Reference 5

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T22:40:22.274750Z digest=sha256:df6a428c8ac0e91f444a7b96c622eeb90d42ba2cc2e21c5597c29d201d721925

Observation c3c3ecb5-7108-483f-82c4-b11885d9193b · outbound

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

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms ACM Transactions on Intelligent Systems and Technology15(3), 1–45 (2024)

Reference 6

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no resolver link, observed 2026-08-11T22:40:22.327665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5f684a44-a473-4f8b-8081-652a976fde04 · outbound

This paper cites In: Proceedings of the genetic and evolutionary computation conference.

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms In: Proceedings of the genetic and evolutionary computation conference

Reference 7

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raw_fallback, observed 2026-08-11T22:40:25.244761Z

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.

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Observation 28636698-564e-4f22-a9cd-6c3bc2c81e19 · outbound

This paper cites an unresolved cited work.

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms Unresolved cited work

Reference 8

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unresolved
raw_fallback, observed 2026-08-11T22:40:25.054760Z

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=2026-08-11T22:40:22.371937Z digest=sha256:941bb42b8158926b23db8de57e32aad3a81a0aea15e4f4e90b1272a4407d5e02

Observation 769d03ec-6db5-4ba2-bbce-9702f55ff102 · outbound

This paper cites Evolutionary computation9(2), 159–195 (2001).

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms Evolutionary computation9(2), 159–195 (2001)

Reference 9

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no resolver link, observed 2026-08-11T22:40:22.414755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:40:22.414755Z digest=sha256:410f6f0aab317b0b905584ba7cda53c3106737724995dbcd1ecf9ebf32945efb

Observation 5fb8eca1-d925-4fe6-b220-53c3ad8b84f0 · outbound

This paper cites MIT press (1992).

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms MIT press (1992)

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 713f2222-6cb2-4481-8b9e-253f06c1bf53 · outbound

This paper cites Journal of Discrete Algorithms4(1), 181–199 (2006).

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms Journal of Discrete Algorithms4(1), 181–199 (2006)

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:40:24.795138Z

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.

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Observation 816d8fb1-7a01-4e86-a0b9-27e0b0256e4f · outbound

This paper cites In: ProceedingsoftheGeneticandEvolutionaryComputationConferenceCompanion.

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms In: ProceedingsoftheGeneticandEvolutionaryComputationConferenceCompanion

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:40:24.701889Z

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=2026-08-11T22:40:22.574770Z digest=sha256:59cdaf8962f8c5a04b55824fd7572c511299cda14d1e35e7a16eec2c30d06207

Observation f2c1dcfe-8ad0-4939-a551-c5182fc41500 · outbound

This paper cites Algorithm Evolution Using Large Language Model.

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms Algorithm Evolution Using Large Language Model

Reference 13

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a354e21d-4bd0-4d67-8e9e-6ca4ae4af09a · outbound

This paper cites In: Forty-first International Conference on Machine Learning (2024).

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms In: Forty-first International Conference on Machine Learning (2024)

Reference 14

Resolution
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no resolver link, observed 2026-08-11T22:40:22.632552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f2a5c772-0210-4569-b0e8-71aef0c50277 · outbound

This paper cites IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics.

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T22:40:22.664870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:40:22.664870Z digest=sha256:5213b62a27bbe370880202257bf4a3668e26f0f48111e1aec4e2c5dc35ecd59a

Observation 757b8b8b-8aa6-4bee-b37c-df288c4e8862 · outbound

This paper cites Engineering Applications of Artificial Intelligence 60, 97–116 (2017).

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms Engineering Applications of Artificial Intelligence 60, 97–116 (2017)

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:40:24.538607Z

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=2026-08-11T22:40:22.684878Z digest=sha256:6988843ba0779b3ca6d785453c6e5535d7134c11942c01c0ba3e5e51a2e63133

Observation 6c5b8aac-0ce4-4cfb-8396-4238b561d54b · outbound

This paper cites Procedia Computer Science51, 630–639 (2015).

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms Procedia Computer Science51, 630–639 (2015)

Reference 17

Resolution
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raw_fallback, observed 2026-08-11T22:40:24.434755Z

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=2026-08-11T22:40:22.724755Z digest=sha256:f96889cb3288990f4ebf40c454c82ec79ca1083a3b46b9edc63d539afa8629c2

Observation 2439ac05-fe94-4adb-810b-593b9e7154ee · outbound

This paper cites IEEE Transactions on Evolutionary Computation pp.

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms IEEE Transactions on Evolutionary Computation pp

Reference 18

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no resolver link, observed 2026-08-11T22:40:22.751492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 570599e6-1d03-4d79-9f0d-5cf2e8987af0 · outbound

This paper cites In-the-loop Hyper-Parameter Optimization for LLM-Based Automated Design of Heuristics.

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms In-the-loop Hyper-Parameter Optimization for LLM-Based Automated Design of Heuristics

Reference 19

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no resolver link, observed 2026-08-11T22:40:22.774855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:40:22.774855Z digest=sha256:0141296c2cb6b005f9d9f829904d6be92f683f7d5e4a64b2756035f34d28dd89

Observation 642e4fae-638f-4b2c-897d-24e71293b6e9 · outbound

This paper cites Explainable Benchmarking for Iterative Optimization Heuristics.

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms Explainable Benchmarking for Iterative Optimization Heuristics

Reference 20

Resolution
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no resolver link, observed 2026-08-11T22:40:22.814866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation aab1714e-00c5-494a-b4f9-eee8c0621160 · outbound

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

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap

Reference 21

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no resolver link, observed 2026-08-11T22:40:22.864756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e90be5f7-f444-4fcd-8c00-2f6751215eac · outbound

This paper cites Metaheuris- tics in water, geotechnical and transport engineering1, 23 (2013).

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms Metaheuris- tics in water, geotechnical and transport engineering1, 23 (2013)

Reference 22

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raw_fallback, observed 2026-08-11T22:40:24.305510Z

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.

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Observation f69f6ff9-57c3-4eb2-aac2-96eca1a07833 · outbound

This paper cites A Survey of Large Language Models.

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms A Survey of Large Language Models

Reference 23

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no resolver link, observed 2026-08-11T22:40:22.964763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:40:22.964763Z digest=sha256:50455e8925513b4f6369a54273e07b196b73ca84dc49fe0f3551f51a822bc3e9

Observation c6148faa-3c99-4f19-8a73-07a497439803 · outbound

This paper cites In: NeurIPS 2022 Foundation Models for Decision Making Workshop (2022),https://openreview.net/forum? id=YdqwNaCLCx.

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms In: NeurIPS 2022 Foundation Models for Decision Making Workshop (2022),https://openreview.net/forum? id=YdqwNaCLCx

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-11T22:40:24.186039Z

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.

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Pith citing papers

Observation 75c0e781-6cb2-4b5f-a9fb-a2d56edf5c66 · inbound

An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems cites this paper.

An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms

Reference 158

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no resolver link, observed 2026-08-10T22:51:52.789152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:51:52.789152Z digest=sha256:81abec8d8633b35a75e2ef5098a82da77381ede958cc341385ba6ceb0c6bd16e

Observation c93aaa8e-1f82-4672-82c0-21e74ec38fc7 · inbound

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design cites this paper.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms

Reference 107

Resolution
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local_arxiv, observed 2026-08-10T20:26:29.711407Z

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=arxiv_source observed=2026-08-10T20:26:29.519740Z digest=sha256:1021addccfd13a80c5d946eed342b8b4396b70fced33afa7be32be3100f9affa

Observation e1949aa0-28d9-4d02-bd87-a087cc81dd66 · 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 Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms

Reference 38

Resolution
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no resolver link, observed 2026-08-16T05:38:53.535446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:38:53.535446Z digest=sha256:0638da4e747f6293dc0a26d2fe753c0ceae976474c758fff1dcbec7015acd741

Observation b41274f4-2b38-402a-9161-5cfb42de5541 · inbound

How to Guide LLM Generation: Dual-Surrogate Guided Search for Automated Heuristic Design cites this paper.

How to Guide LLM Generation: Dual-Surrogate Guided Search for Automated Heuristic Design Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms

Reference 14

Resolution
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no resolver link, observed 2026-08-02T03:27:19.297723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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