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Paper Citation Record · LEDGER

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models

As of 7 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2506.07759.

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

pith.paper-citation-record.v1
2506.07759 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:32:22.248034Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T03:56:29.983335Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T03:59:32.488072Z

Reference resolution

59 of 59 outbound references displayed

  • verified exact4
  • verified fuzzy33
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1ee5571d-3275-410f-9e58-ea52ac19137c · outbound

This paper cites When large language model meets optimization,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models When large language model meets optimization,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:23.149656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.073130Z digest=sha256:8197ec7621c7e7037268e07b5835230c9fdd88637747588a114f2b0133b9a625

Observation 3da7b673-1af4-4f60-9d41-a435d66cd4d6 · outbound

This paper cites Particle swarm optimization algorithm and its applications: a systematic review,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Particle swarm optimization algorithm and its applications: a systematic review,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:23.140428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.076698Z digest=sha256:675377c851cb33cf5cfa7ed45bcc2054307b9ca3cc1427051692f8aa37a53df7

Observation 563ea063-26fe-48b7-9eda-d07db7e4acd7 · outbound

This paper cites A review on representative swarm intelligence algorithms for solving optimization problems: Applications and trends,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models A review on representative swarm intelligence algorithms for solving optimization problems: Applications and trends,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:23.130965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.080122Z digest=sha256:f0c2cf13abfbe495fc0e79cb850e3c784648476ce520efe524e6c763482af27c

Observation 83eddcbb-5406-44e7-bee3-ecd1ef90938c · outbound

This paper cites A blockchain-based llm-driven energy-efficient scheduling system towards distributed multi-agent manufacturing scenario of new energy ve- hicles within the circular economy,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models A blockchain-based llm-driven energy-efficient scheduling system towards distributed multi-agent manufacturing scenario of new energy ve- hicles within the circular economy,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:23.121814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.083561Z digest=sha256:b619c8fc45f57ba114ee40f1d63fb18514e345d68a55856a32177db5f6b6a69f

Observation 542a22dc-b3b4-4c62-8a10-5c191d41749c · outbound

This paper cites An llm-based approach for enabling seamless human-robot collaboration in assembly,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models An llm-based approach for enabling seamless human-robot collaboration in assembly,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:23.111403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.086665Z digest=sha256:b020f17324572652df0d2d76b1b9c47d0bf004d0d960f0b68a4ed78aba9fa669

Observation 72081117-5a0e-4f00-8054-ec5e9fa2ef0a · outbound

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

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:22.090196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:22.090196Z digest=sha256:a20ef7bdd214fa1d4b20ab5b8b4799a6fe4dda4688aa6725fb7b1e5c73cb0e23

Observation 54de55f6-5fc9-4b5f-9a7c-18725acbff91 · outbound

This paper cites Leveraging large language models for the generation of novel metaheuristic optimization algorithms,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Leveraging large language models for the generation of novel metaheuristic optimization algorithms,

Reference 7

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metadata mismatch
raw_fallback, observed 2026-08-07T05:32:22.561103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.094080Z digest=sha256:2cac521e94291dd6301c4d44397ea0c0bab6e49fe0c12cc2506dbb84f08f1f39

Observation b930eba4-d839-44a5-a69a-fb2cafb23f99 · outbound

This paper cites Llmoa: A novel large language model assisted hyper- heuristic optimization algorithm,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Llmoa: A novel large language model assisted hyper- heuristic optimization algorithm,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:23.006848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.097320Z digest=sha256:01e0762368caab37cfe9452e7a56ff877438aba14a5ab97e1e4033adee079b50

Observation 2ce2e4f7-f9ff-48e9-9024-a7e4abfd309f · outbound

This paper cites Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model

Reference 9

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unresolved
no resolver link, observed 2026-08-07T05:32:22.100148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:22.100148Z digest=sha256:034611e9eb0e879d409c85d2329376f01217f1971d1e22d9687999b3b596351d

Observation f9b7e67d-001c-4729-ae94-e9c1681367f3 · outbound

This paper cites Chen and Y.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Chen and Y

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.996936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.103603Z digest=sha256:bf446cd814dc0aef064f5952e3f9a75116e32433e7cf3389cb722d7bb5dff82a

Observation c060bab3-f1d3-46ef-af7e-9db5b65c283b · outbound

This paper cites The New Agronomists: Language Models are Experts in Crop Management.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models The New Agronomists: Language Models are Experts in Crop Management

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:32:22.484168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.106887Z digest=sha256:32634e86d2770f6c779c06168f5c15d6ff184754daede551307eb70389142433

Observation 4cd8d749-c664-474c-8371-3691e066e769 · outbound

This paper cites Automl-gpt: Automatic machine learning with gpt,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Automl-gpt: Automatic machine learning with gpt,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.986294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.109962Z digest=sha256:4851b483ea528e7bc99451f6a73f3367ca1e815c80f9396f028854578a446536

Observation 694ab944-28d8-43ea-8d05-20d2fc348644 · outbound

This paper cites Using Large Language Models for Hyperparameter Optimization.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Using Large Language Models for Hyperparameter Optimization

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:22.116084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:22.116084Z digest=sha256:606ff3a994816aa7173208a22c0f7f4b54af156e1296eb3aa86dde87763b58e1

Observation 14825a8e-91f7-4913-91a2-f943fc461368 · outbound

This paper cites Large Language Model Agent for Hyper-Parameter Optimization.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Large Language Model Agent for Hyper-Parameter Optimization

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:22.119463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:22.119463Z digest=sha256:6080fd5d0f976f80dce12a46d1f608800181fa6dcd5197f7850103b1f8102e51

Observation 5f761ec0-5f53-42b2-95b5-5b3b95bd1550 · outbound

This paper cites Understanding llms: A comprehensive overview from training to inference,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Understanding llms: A comprehensive overview from training to inference,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.924730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.122581Z digest=sha256:63f239f3dcf6b69ffdab2f6bab59f431be9f5b2351af07d083213f84aa2acddb

Observation 96e4c839-f7ea-41ad-abb7-2901e4a75775 · outbound

This paper cites Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:22.125343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:22.125343Z digest=sha256:98052116c1f50a6a03656990a166140e7a422724528bf3e5d291149afaa07335

Observation 5f087f9c-0be2-4f3c-b344-2fb5a884370e · outbound

This paper cites Large Language Models as Optimizers.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Large Language Models as Optimizers

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:22.128468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:22.128468Z digest=sha256:02627e0e0b359301f6b4a2c8fddf9e7ebf7397a9bfad90bd96775054998a62f4

Observation 265df7b6-0d1f-4534-915e-8f540c1dbb1d · outbound

This paper cites OptiMUS: Optimization Modeling Using MIP Solvers and large language models.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models OptiMUS: Optimization Modeling Using MIP Solvers and large language models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:22.131377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:22.131377Z digest=sha256:91eb1ed2417e72c763dfe9c707967502e4af63773ff3d5c9c5144912a3c86b70

Observation 415c7523-7eb4-42a5-8cd7-2240fe2988b8 · outbound

This paper cites Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:22.134597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:22.134597Z digest=sha256:95d92cca2b760459b654bc829c729a4396f565bbff01bd66185b6aa4663e9d53

Observation ef0fa2a8-2598-48a3-89e8-35afc6356e1f · outbound

This paper cites Leveraging PRE-PRINT SUBMITTED TO IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION 20 large language model to generate a novel metaheuristic algorithm with CRISPE framework,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Leveraging PRE-PRINT SUBMITTED TO IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION 20 large language model to generate a novel metaheuristic algorithm with CRISPE framework,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.876158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.137379Z digest=sha256:f98da55124bd6c60c0e2c6ac44320df61bfe1a5034d0f0c91b9c6e1c1d8569b2

Observation 5c491cfd-f700-426a-9584-8b2e8010d513 · outbound

This paper cites Evolutionary computation in the era of large language model: Survey and roadmap,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Evolutionary computation in the era of large language model: Survey and roadmap,

Reference 21

Resolution
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no resolver link, observed 2026-08-07T05:32:22.140102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:22.140102Z digest=sha256:40ff6c6e490c5434c8659e2b0b9b6ac18981217ec4a444e4af3885f8a7e4c192

Observation c14bdb64-ff9a-46c6-84f0-67382e1341d2 · outbound

This paper cites Algorithm Evolution Using Large Language Model.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Algorithm Evolution Using Large Language Model

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:22.142891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:22.142891Z digest=sha256:c01aaad3f6ccc66d935ab5350cd78337d82dcb7a818fd71c8fbea3c6033ea402

Observation 78446301-90c8-4ea2-8e37-24c2825c50eb · outbound

This paper cites Llamea: A large language model evolutionary algorithm for automatically generat- ing metaheuristics,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Llamea: A large language model evolutionary algorithm for automatically generat- ing metaheuristics,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.803491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.145766Z digest=sha256:b2f343654138b16e364097ae28fc3ff6874262e165eae2e88aa9f65adf337d61

Observation 83df3fa2-91c9-488b-812d-9e56abb8f4de · outbound

This paper cites Evolving Code with A Large Language Model.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Evolving Code with A Large Language Model

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:22.148582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:22.148582Z digest=sha256:2085cbd62b086b1db5321f490188e0bd094c1aab734ee39e419c922a080844fb

Observation e794f491-f068-42f9-9884-26e9334e98ab · outbound

This paper cites CoCoEvo: Co-Evolution of Programs and Test Cases to Enhance Code Generation.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models CoCoEvo: Co-Evolution of Programs and Test Cases to Enhance Code Generation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:22.151646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:22.151646Z digest=sha256:87db88cf5c2159ebfcbf9dcfe3f1e438566cb010b869b1f99fff16559400718a

Observation 2a775846-95a1-4144-9188-e55f43e4eadc · outbound

This paper cites Large Language Model-Based Evolutionary Optimizer: Reasoning with elitism.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Large Language Model-Based Evolutionary Optimizer: Reasoning with elitism

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:32:22.385886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.154868Z digest=sha256:2f77f0acf18f2622e591d6661994cc6e478973ac312e2f7f885b0c448cd2fe0e

Observation 57771152-9693-43bf-ae43-bfad4628c996 · outbound

This paper cites Large Language Models as Evolutionary Optimizers.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Large Language Models as Evolutionary Optimizers

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:22.157861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:22.157861Z digest=sha256:047e1646a7e5faa18f568e81eb7549d0f8986507a175258d92ef93baac50b14a

Observation 034deb52-1be1-499c-ae36-97df6ffeb5a9 · outbound

This paper cites Quality-diversity through ai feedback,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Quality-diversity through ai feedback,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.767440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.160883Z digest=sha256:b51c79ca8cf8285ba78f96cc9382b085fb5870b08e34a9d8c31ff51585509b77

Observation b9d05c14-ca3a-46f9-ab97-6ef530efe057 · outbound

This paper cites Language model crossover: Variation through few-shot prompting,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Language model crossover: Variation through few-shot prompting,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.748182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.166998Z digest=sha256:8a6967e19e6c2547126853d7d1f0d77b341e328588ae938c934ed957f12fbb63

Observation 2a834729-35cb-4900-8271-4058695b31c5 · outbound

This paper cites Available: https://arxiv.org/abs/2310.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Available: https://arxiv.org/abs/2310

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.757239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.163971Z digest=sha256:36ece92315b5d295796e0f59a6d0ea118db745f991a5c2c7e79dccde23fcd0f7

Observation a221f0dc-5675-453d-947a-384a251f7e30 · outbound

This paper cites Large Language Model for Multi-objective Evolutionary Optimization.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Large Language Model for Multi-objective Evolutionary Optimization

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:22.176624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:22.176624Z digest=sha256:5c200164f8034a4ede8d0903fac4150e058bf31e2c0e98a94caf82d28bc1971a

Observation ff9cc0ce-61da-4bdd-ab42-803600ad52a6 · outbound

This paper cites Automatic programming via large language models with population self-evolution for dynamic job shop scheduling problem.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Automatic programming via large language models with population self-evolution for dynamic job shop scheduling problem

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:32:22.352389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.179996Z digest=sha256:c2f097d486a99f76a006c6d1314a0cdc9110a4f02dbd47a73bb9a461791a2797

Observation 35498366-5179-4c63-bd33-a7f527d5c107 · outbound

This paper cites Bradley, H.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Bradley, H

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:22.173802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:22.173802Z digest=sha256:570f5a8b692f19d675fd09a91d5ed3d6b9bdf0aac180f3e87566a5862128818c

Observation 8a5f8134-6b87-4e43-94f8-264a54c08265 · outbound

This paper cites ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:22.186136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:22.186136Z digest=sha256:2b9629d0d4ffc3ec31a7e1425a895978f3819b1b9f5f0e2e18bed9a8840d2f24

Observation c2a0717c-aaa3-4940-9d9f-20e71d09ad5e · outbound

This paper cites HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:22.189152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:22.189152Z digest=sha256:c0def18fa224fd8ccc13b249e194142166b2109d1b281748a16b562cc0caa8df

Observation f5bc6231-5678-47aa-89c9-bfb91e776e1f · outbound

This paper cites TS-EoH: An Edge Server Task Scheduling Algorithm Based on Evolution of Heuristic.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models TS-EoH: An Edge Server Task Scheduling Algorithm Based on Evolution of Heuristic

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:22.183084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:22.183084Z digest=sha256:a6fa3e888d5ea1fe8ba467c9ac83e749de8efba806a83a64f79d5d41991de0b6

Observation 69d5d99f-d680-452d-9a12-247905ba3284 · outbound

This paper cites A survey of job shop scheduling problem: The types and models,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models A survey of job shop scheduling problem: The types and models,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.730408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.195278Z digest=sha256:5978db11ecda4df54e417e43261a1291f156deeecfaa0b5b158a913b0d40165e

Observation 495b0acb-891a-4869-8411-524d79fda0cc · outbound

This paper cites The flexible job shop scheduling problem: A review,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models The flexible job shop scheduling problem: A review,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.721756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.197886Z digest=sha256:0d58fee363068bed6a2eaf7f7826117a2e854488fdb212792647f0ce204607f9

Observation 4f308e84-9874-4474-9166-9a0ec56f537a · outbound

This paper cites Gavval and V.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Gavval and V

Reference 39

Resolution
verified exact
doi, observed 2026-08-07T05:32:22.284640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.192427Z digest=sha256:36cb2e61fd2a33ff09ae0db76154b87f6f77e0ebeabbcf269e48b8e4fa37bc13

Observation 19ebf896-678e-4b92-8ddd-5de12ae335e0 · outbound

This paper cites Solving the job-shop schedul- ing problem in the industry 4.0 era,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Solving the job-shop schedul- ing problem in the industry 4.0 era,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.704432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.203843Z digest=sha256:eba83650b95bd53aaf83f95f65bf59d5f85b885bbdfa1c5a3f3f8eedc6a817c8

Observation fe5a610d-1063-4c7d-baf7-e6ee9a7333ee · outbound

This paper cites Routing and scheduling in a flexible job shop by tabu search,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Routing and scheduling in a flexible job shop by tabu search,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:22.206560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:22.206560Z digest=sha256:187773388247216e4e3eb649c9832a6e9f3607d66840421bb4fb098256d0871c

Observation c703728b-f421-4d72-ab9d-39c065f80b65 · outbound

This paper cites Review on flexible job shop scheduling,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Review on flexible job shop scheduling,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.713086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.200590Z digest=sha256:77dddd1a6e5db58260544459ddb8935af827fef78b18082fa212f5307c177a82

Observation 8818ca36-a153-478c-9f5b-5ee8c453eb5f · outbound

This paper cites Ibm ilog cp optimizer for detailed schedul- ing illustrated on three problems,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Ibm ilog cp optimizer for detailed schedul- ing illustrated on three problems,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.687119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.212092Z digest=sha256:a7cda7ab666398f57d53dd3f521f06470f63489592263c41c4b82b348675fe4d

Observation d750f615-961d-4312-b9b0-31623bf61f2d · outbound

This paper cites Industrial size job shop scheduling tackled by present day cp solvers,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Industrial size job shop scheduling tackled by present day cp solvers,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.677972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.214872Z digest=sha256:c5e9aefd2faff9fc6a755b7e0f2a36558af92c47f0840ac2d4e1937067d050b3

Observation 50549abc-f9b5-4404-85e7-1ec750260b38 · outbound

This paper cites Solving the job shop scheduling problem with tabu search,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Solving the job shop scheduling problem with tabu search,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.695827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.209572Z digest=sha256:b64fad6d106f2671ef18d1e5aac7f59bd1622116f116f200d96132ef09e09c61

Observation ce1bd257-5633-4d3c-b448-b35a980e15bd · outbound

This paper cites V12. 1: User’s manual for cplex,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models V12. 1: User’s manual for cplex,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.659630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.220170Z digest=sha256:19d16e6b4325a4d404a9936206c7937d36b718c151edbaf00228388a505ba539

Observation 59160295-0fcc-4c61-a0d7-d99dd56913e2 · outbound

This paper cites A multi-action deep reinforcement learning framework for flexible job-shop scheduling problem,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models A multi-action deep reinforcement learning framework for flexible job-shop scheduling problem,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.650350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.222829Z digest=sha256:7c8cbd7c01a204dc3c12861b6d69a42178d5b82d643106021d6ff6265c5ec45b

Observation e80856aa-99dd-43f0-a76f-36ac61a3e681 · outbound

This paper cites Perron and F.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Perron and F

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.668690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.217605Z digest=sha256:7672e26b55189bb096a83d777e44fe0be3052bb77b9f03f1e8aa13d2d129cfe1

Observation 172cff2b-9b95-4d5b-91e2-603d343419cf · outbound

This paper cites Residual scheduling: A new reinforcement learning approach to solving job shop scheduling problem,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Residual scheduling: A new reinforcement learning approach to solving job shop scheduling problem,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.631589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.228629Z digest=sha256:b9d5b2fe36a8f9bc3b83a9766e4ca981a23fef53349872a4573796dc2647b345

Observation 81ec2c9e-c4fa-4337-97e2-d0eab33edf14 · outbound

This paper cites Leveraging constraint programming in a deep learning approach for dynamically solving the flexible job-shop scheduling problem,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Leveraging constraint programming in a deep learning approach for dynamically solving the flexible job-shop scheduling problem,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.620423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.231286Z digest=sha256:a6bd99921400fa4d964e2d78792b72b27b3155a17b1d72955d2d04fd741d3737

Observation c919f4fa-c0a6-4e22-a74b-c64b61acf878 · outbound

This paper cites Flexible job- PRE-PRINT SUBMITTED TO IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION 21 shop scheduling via graph neural network and deep reinforcement learning,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Flexible job- PRE-PRINT SUBMITTED TO IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION 21 shop scheduling via graph neural network and deep reinforcement learning,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.641237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.225813Z digest=sha256:58094ccf5ccc6b0014469b1d8408ed1ca36cd19266e50860b757451ee3feb91f

Observation 43022a29-9224-42f6-9538-ec364705db0a · outbound

This paper cites Sequence-dependent setup time flex- ible job shop scheduling problem to minimise total tardiness,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Sequence-dependent setup time flex- ible job shop scheduling problem to minimise total tardiness,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.600840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.236606Z digest=sha256:aed717564a0ee1c55de48f6ec73d42dbd269364539a3ed9210a033b0ed9a169b

Observation 2979fa63-b4b9-474a-a028-f7acfe59ea62 · outbound

This paper cites A simheuristic approach for the flexible job shop scheduling problem with stochastic processing times,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models A simheuristic approach for the flexible job shop scheduling problem with stochastic processing times,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.591039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.239562Z digest=sha256:f82cec6c7014fccdb2b9b2d3e3caec042588e0e5d1bb1b359203725160b6ba36

Observation ce3e6454-5837-4779-9e44-7efca8adff2a · outbound

This paper cites A constraint programming formulation of the multi-mode resource-constrained project scheduling problem for the flexible job shop scheduling problem,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models A constraint programming formulation of the multi-mode resource-constrained project scheduling problem for the flexible job shop scheduling problem,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.610903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.233910Z digest=sha256:a80a8cf3397d798416984adcee5662c43591b94dc394920990e0e707d1153827

Observation 90834cec-d68c-492e-9caa-a659f4d645d4 · outbound

This paper cites Gemini 2: Our most capable model yet,.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Gemini 2: Our most capable model yet,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.580999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.245059Z digest=sha256:b80fabdd511d8701cb647abf4fadf3f4aab510d1036a932732823f03b319585c

Observation ef65e626-3967-44e0-80e4-26d2e2b80e14 · outbound

This paper cites DeepSeek-V3 Technical Report.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models DeepSeek-V3 Technical Report

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:22.248034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:22.248034Z digest=sha256:257186b4871a5258cc848f7dd59aa77f8a010ee92354ff629267cce3fce83b79

Observation 36910217-757e-4a35-a2f3-b0da241b4fd3 · outbound

This paper cites GPT-4 Technical Report.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models GPT-4 Technical Report

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:22.242189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:22.242189Z digest=sha256:41e7e5d728add04888b897f34dc14f185ff9af87c0e029e7b890754365d8b4da

Observation aa373b87-c828-4e34-9045-ff854e4183ca · outbound

This paper cites Available: https://arxiv.org/abs/2305.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Available: https://arxiv.org/abs/2305

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.965259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.112949Z digest=sha256:f4a152abb6e3077c110562272a7b76059fac28928b5ed95d7f669351fb74699e

Observation 0a0c4aa9-2c92-4965-817a-408bcf2f051e · outbound

This paper cites Available: https://arxiv.org/abs/2302.

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models Available: https://arxiv.org/abs/2302

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:32:22.739354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:32:22.170339Z digest=sha256:21293cf26de5ce740ce09c63c8cb53339cabc63ef4d30975bc5c232842a86167

Pith citing papers

Observation 5793778b-efa1-4b4f-b69a-19620e48cca3 · inbound

Large Language Models for Operations Research: A Comprehensive Survey cites this paper.

Large Language Models for Operations Research: A Comprehensive Survey REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models

Reference 118

Resolution
verified exact
arxiv_id, observed 2026-05-21T03:59:32.489378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T03:56:29.983335Z digest=sha256:310fc1aa79724c88ab0314bae319e0f5796c6cc97d35a6946fd7c7b08d54b9f8