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Paper Citation Record · LEDGER

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

As of 16 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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.073130Z digest=sha256:bd01415a6ad601ec5e15fa7fd6575bb65025450db000af10eb7352ab88face9a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.076698Z digest=sha256:7b625da16bc998ccc28f2885222e28cf46b05384d4fa1801db0657c07fde8788

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.080122Z digest=sha256:8765db801ff9b0008287e79d89cb9d014d2da2a3860cc37c14d238d5bfe8e591

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.083561Z digest=sha256:14572c3e61a80357b191c5c2dd764b1652ec43752e148ada7fca451ce2202b1b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.086665Z digest=sha256:8abf7cb9035189b92b1450c119db3b42458f171b99c17fab16a83a37778b637b

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=sha256:27bf78e7c7f34576536158772cb17ca79ab16148ca9bf0d160e1b98c2021fab0

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.094080Z digest=sha256:83bf0692d005d27b55c7f854b38aca384e32f41171c62ea7c60df3af37389625

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.097320Z digest=sha256:43b355775f24074b2317269b6d2271cc6ed3d8ec00040224878566b157d7ec13

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

Resolution
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=sha256:25a8215a4f088a343c25d87954f4ec8e7393363f9cd595962a7ddd5dee977e35

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.103603Z digest=sha256:1c250c9bcbf9cbbbbf575654c8ffca558e87a2b64504391b16588df88196c5b4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.106887Z digest=sha256:0ddb4c11e11773836c22935236f92b3ae3d9313261916553bebaf9043f482c49

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.109962Z digest=sha256:5c65e266a03d8d726372b14ca419f9b4d8419106039eb91355a61a90c919433b

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:c9336ffbe918b3efb02db8708793919833eac0bbf7bc1594fada4804851457fd

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:fe31db7925f8bd7790167fc569c354110977134c22a802466a1cf13de0be1f2f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.122581Z digest=sha256:98d1c2d22ba505dbc38d48cb5021022ddcc4122f9c55ab2861ddc79d94386632

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:b1668892f38fc63bfe470227ec9185d967c791dfcf2f1191fba77fab5d0d6189

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=sha256:6d39c7745b72069d40e44befdddbb1b37b1e94ea6cfa4cb0a8e4325feae70678

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=sha256:2b0260d1b63c5575a1cb992e5ace9cacdb54da65d17995e333fa859c0da2a8df

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:fbdd19ab8f10412e5e691ed6d14d63fb6e31276a6c16c22b9d28b3466434594c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.137379Z digest=sha256:3930267873d1c38ab233cd03892a5c4c3667a8e65bb6e1b8397675219ac3c9df

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=sha256:9f4527f0d74cfc3726037ca04ff3b6f7a68327bbb6028ae85c11992a55975e63

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
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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=sha256:771ab3265e352b7643b3f4dd62f77fc7447d528476d43cd23ad57a37f868ac89

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.145766Z digest=sha256:3291c93069b73ffb320765cd216778cfab76154cdbaea57488d8cb1c59df2ccf

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=sha256:5b6773d97f71450ba0f7dfcb39d7d88e9add48874692c5c15e3dcd6a8402728c

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:e7cc6855aa960552c1298ea1bac59df71138cb68d91f96ec0d8df911f6e92335

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.154868Z digest=sha256:2ac0faae2b266565bd5e676ed17f346c23db7ee7c937f634c4df4268ed789bc7

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:f4d992f0b7b0692fc0cdc7b68f0dee31234d7f2bd65b31ca387efa3497d0ca01

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.160883Z digest=sha256:f56a500be8a35a86ef30d79a5763c54d5d5a91e7b55747cf1352d715fda27a4b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.166998Z digest=sha256:bcbd3cb97516b1a51d421d8de3a84d6fe4499a3c1d6f72c5c7308881f839fa3a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.163971Z digest=sha256:853a95fe06f39084e401bdbf6595bebaf7362520cfaafd917d68b2ca518cb8ae

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:a411aef08e97d3d5d60d01ef259545b128c9fdc4d66df52beec9ca3149126e82

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.179996Z digest=sha256:adfddf7817473d9faa21afc93ef99deaf43983478cfc3a4bf0d49c45b70a6c1a

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=sha256:9703b43dae1d0107c050496c28c31ebdd66916e9cb965f51195c4268bd67fdb4

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:c6d2bc0c35b9435dd21b8aac57bf3a6877d1aadc9da22db2213e37177d5398e4

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=sha256:089419e7621a644c6c8cbf70c0ebe283974616e0751068ade7c2edb0d59dfef9

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:f134e6a6d4e59813d6339dbfd174e0dd49f1e345a917d0bcf85a95414e9aa9a3

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.195278Z digest=sha256:90afe5f4c3690ae5aba6913dbb012909b12370b40be1da832b0edfa7972d5711

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.197886Z digest=sha256:10dcef35da3f96f4fe9fcf918c65b093450bc459483a3e121b7734363ccad789

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.192427Z digest=sha256:92da2b0a8cbf822e102e90061f55d404c4681cecf779b9dbf01571ccaf8d2e03

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.203843Z digest=sha256:11439e14047a20e0e363317b31d5fccbfda76d23ac9619be9d0eee9a3ee79ce2

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:eda38fe37a7f2881b98a8d57e07cbf9031cb003df995f8aa1f6cf8ac3c984f54

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.200590Z digest=sha256:5dc0708a5fb54bdfa1c4a49291f9c7fd342c29514af49f879f8617da0c250eaf

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.212092Z digest=sha256:1181d2fb17674d18886373b2f0961b89b0ef68ade9f9a6e10f80c905ddcc0ca8

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.214872Z digest=sha256:9c53a1c9f3e4fbb5bc0bac55ee97c71c2c3d22dbf598bfd765fdbdec773b599f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.209572Z digest=sha256:23b2170b410e8b4f159dfb7555640fdc25c64bff81b4af587a344f157e4afccb

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.220170Z digest=sha256:d1f745181936b35f9b4d68d049495cef4eb2b31987c1006f3dbc97379743c79a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.222829Z digest=sha256:eaf04d8814af3460a4b3293d44228f3b4328686652cf99aa97ef13c6ac2d592f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.217605Z digest=sha256:baf536323db923379215802a84e820311a2329058fd23e5fc171588fbe60356b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.228629Z digest=sha256:9b013fd4e4c3e6c778c537d498414d943e8e3960b26aa51c1bdb991210deaf65

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.231286Z digest=sha256:073cb589a475275284ff3fef7e11c42055a8b5725c6c42d81a1021e9e189cd63

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.225813Z digest=sha256:ebf6a6e9cd179134b8fd970ba1bcb8531292935b5cf55cdf25adcdd4edd35ae2

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.236606Z digest=sha256:2dcd195d98dbf5a4809aa6ab748af0322acdb78a2575b2958206289f82b19288

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.239562Z digest=sha256:3477ca0bc33ce8d81b8d23dd3ce387857252ee7afcb5036b78b717f1edd7c2bc

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.233910Z digest=sha256:692ad87ee4b8b38ee8998a2a71bc05e869fe6bccb8f32c5c4f45f850e0d50de4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.245059Z digest=sha256:a41359ee1c0a2c14c286a0ad090109fec86c78ffa61e8b3356a33cbf6d015e43

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=sha256:25db1b9d9ff43d88aa55834cb434f3d1f56f675fdf4332d631c9a8203ba22391

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=sha256:5382a3da45a3b6a09e545f8d02c20da268f41b5def163383fa6108f441d51dbc

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.112949Z digest=sha256:4157c3c9082171e281ff9b57aa6c5ee3a8214095049b9855cb76f519dacba466

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:32:22.170339Z digest=sha256:2be11a90d1b110c42fd68990bd407d5775f3507c32e707a5f14aa928640f24ad

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-21T03:56:29.983335Z digest=sha256:bf63c6d8cd3e349162ac22a9513a8347456fab35cc43b6ad7d2b98d6abae57f5