Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:26:29.486497Z
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 100 of 116 outbound references and 22 inbound Pith citation observations for arXiv:2501.08603.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:26:29.486497Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T11:15:06.846550Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T15:39:56.699149Z
100 of 116 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation d2031d8e-96db-42af-9913-7378176a56c4 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design LLMs can Schedule
Reference 1
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Observation 642d8893-f143-42c7-9bdd-13866285f67e · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Moea/d-gls: a multiobjective memetic algorithm using decomposition and guided local search
Reference 2
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Observation 7e4a748a-2a63-436e-a1aa-7bb29c8ba0f2 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Unresolved cited work
Reference 3
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Observation e527ec01-1ca0-4c0e-af67-3f354f48baac · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design and S \"o rensen, K
Reference 4
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Observation 75d22c0a-3643-416d-8dbf-02623c75be84 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Efficiently solving very large-scale routing problems
Reference 5
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Observation 92a99eea-a43f-4d11-8886-bb95503f42ed · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design O., Okeyinka, A
Reference 6
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Observation d838426a-9c77-4fe5-87f5-777c758b49c3 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Complexity and approximation: Combinatorial optimization problems and their approximability properties
Reference 7
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Observation 0cf1044e-3a11-4a5c-8644-fddbe2cd5c9f · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design B., and Michalewicz, Z
Reference 8
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Observation a8060a68-d9b8-4a11-82e1-e4eaf9a77836 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Neural Combinatorial Optimization with Reinforcement Learning
Reference 9
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Observation 6abc7bb5-2978-4809-8171-3d7094246db9 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design G., Hottung, A., Wouda, N., Lan, L., Park, J., Tierney, K., and Park, J
Reference 10
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Observation 42cbf9e0-0219-45cb-ab7b-ca5046fb98aa · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design The traveling salesman problem a guided tour of combinatorial optimization, 1986
Reference 11
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Observation 2953a510-3055-4887-a387-f45a8a44e477 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design H., Jourdan, L., Kessaci-Marmion, M.- \'E ., and Trautmann, H
Reference 12
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Observation 3eaf27ad-9b01-452e-95f5-a51541ea1474 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design R., Cassano, F., Hu, S
Reference 13
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Observation 136b998a-16b4-4243-ad87-16ba8c298369 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design and Hougardy, S
Reference 14
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Observation 3149646a-afab-43b6-a6aa-dde0e3281434 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design B., Powley, E., Whitehouse, D., Lucas, S
Reference 15
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Observation be4bc84d-d1fd-442c-85fa-df248147d71e · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design K., Gendreau, M., Hyde, M., Kendall, G., Ochoa, G., \"O zcan, E., and Qu, R
Reference 16
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Observation 5394287b-c6e1-4632-88c5-734e58815046 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design K., Hyde, M
Reference 17
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Observation 9f1cc87f-3966-47c9-8aaa-6dc9ee4d7b87 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Unresolved cited work
Reference 18
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Observation ff01588e-dbf6-4f07-949c-dd4f3c5247b5 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Weibull-based benchmarks for bin packing
Reference 19
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Observation 272ca0c8-ba45-4721-a750-91796afed801 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Worst-case analysis of a new heuristic for the travelling salesman problem
Reference 20
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Observation eed8803f-ea08-4cbe-bbd0-4d920734b045 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design elo ratings
Reference 21
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Observation b2c8d8f9-8998-4e37-b8a0-0e55d7da67b6 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search
Reference 22
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Observation 4c6908a3-8793-4dd3-bfdf-e6101ee694fe · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs
Reference 23
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Observation 6192e040-4c64-4762-9b8e-11e708f66880 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS
Reference 24
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Observation f1164bf7-054e-49d6-8f3b-4acd635cb261 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Heuristic and meta-heuristic algorithms and their relevance to the real world: a survey
Reference 25
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Observation 150f36bd-f16b-46fc-a722-111936cdff28 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Ant colony optimization
Reference 26
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Observation 713296fa-ff02-4f5f-9b58-61c528c75461 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design GOAL: A Generalist Combinatorial Optimization Agent Learner
Reference 27
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Observation 8c32a0c7-11c8-4f23-8987-ae44ec30e820 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design R., Danoy, G., and Bouvry, P
Reference 28
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Observation f2b59fb4-1ab6-47ea-ba03-cf7dfcd73eda · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Unresolved cited work
Reference 29
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Observation 11b85831-dbcd-4a8f-acf3-7e651b70d0c8 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training
Reference 30
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Observation a2cfc6bb-3691-459f-9143-6e88415a01a0 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Exact methods for the asymmetric traveling salesman problem
Reference 31
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Observation f6a0aeb4-08a0-4aa8-a9cb-ca5b54c61b41 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Generalize a small pre-trained model to arbitrarily large tsp instances
Reference 32
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Observation 5ce5d832-f445-4889-95ad-62c7184bf29e · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Towards generalizable neural solvers for vehicle routing problems via ensemble with transferrable local policy, 2024
Reference 33
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Observation d348343f-f701-43e9-8560-b329081a26cd · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Towards Optimizing with Large Language Models
Reference 34
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Observation 7abd2965-d202-4188-81b2-640b76be3125 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design U., Qureshi, R., Shah, A., Irfan, M., Zafar, A., Shaikh, M
Reference 35
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Observation 82de5067-01ae-466a-ab71-6998823672b0 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design U., Al Tashi, Q., Shah, A., Qureshi, R., Muneer, A., Irfan, M., Zafar, A., Shaikh, M
Reference 36
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Observation 5cd226e5-2594-459c-b539-a739fb81abf8 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Deep residual learning for image recognition
Reference 37
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Observation 1da22e6b-3a6b-4cce-85da-6ae9ec7e497e · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design L., and Ding, J
Reference 38
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Observation 9370f00c-a47a-4c7e-ab9f-0ced3329e8c1 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design An extension of the lin-kernighan-helsgaun tsp solver for constrained traveling salesman and vehicle routing problems
Reference 39
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Observation 89d564f9-2463-4bd9-a5ad-645bc193b40e · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Evolving code with a large language model
Reference 40
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Observation 40b54d22-8319-4730-9d08-5a34222bba4d · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions
Reference 41
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Observation 025c0730-1e1a-4ec6-b229-6f8a9e7c1853 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Understanding the planning of LLM agents: A survey
Reference 42
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Observation d0de737b-0b07-470c-ad88-f1a21e3c5a34 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
Reference 43
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Observation e3dfb712-088c-4723-9f75-35d575d9fe92 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Bridging Large Language Models and Optimization: A Unified Framework for Text-attributed Combinatorial Optimization
Reference 44
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Observation 52f255aa-90eb-45ea-b340-44e030371b38 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks
Reference 45
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Observation 539192d3-9da2-4d58-8442-01a530026c0a · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Ant Colony Sampling with GFlowNets for Combinatorial Optimization
Reference 46
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Observation 0eea55a7-bf1b-4c35-8444-90076554ee3d · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design and Szepesv \'a ri, C
Reference 47
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Observation 468eff75-2c86-4bb1-9e3e-4fe8ec7c7990 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Attention, Learn to Solve Routing Problems!
Reference 48
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Observation d6a9e145-b684-4c1f-925f-e06d7dc1a058 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design H., Vygen, J., Korte, B., and Vygen, J
Reference 49
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Observation 6596c9b8-74dd-46dc-b588-cbe1952f1360 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Pomo: Policy optimization with multiple optima for reinforcement learning
Reference 50
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Observation 020c141f-db95-4b8c-9031-078d5729218b · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Matrix encoding networks for neural combinatorial optimization
Reference 51
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Observation 8e3e47cd-0de3-49fe-8f26-ba8ad12e7ae1 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Unresolved cited work
Reference 52
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Observation eac4f2fd-b047-49a4-b354-85b226c84545 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Unresolved cited work
Reference 53
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Observation 29fe87b0-d1a8-444e-8318-d58cab76c2b0 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Large language models as evolution strategies
Reference 54
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Observation 7a1e5d5b-b53c-4dbb-990a-5125ab3a4555 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Cost-aware Bayesian Optimization
Reference 55
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Observation 5217f6b4-7ddf-4906-9d24-a4191117f5cb · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Monte-carlo tree search in continuous action spaces with value gradients
Reference 56
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Observation b143ecd8-a95d-451d-bb7a-a0d5e37b9655 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Unresolved cited work
Reference 57
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Observation 82843513-f6f5-4375-b82d-cf6fa658f81f · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design and Kernighan, B
Reference 58
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Observation 50aaebed-9224-4e26-a73d-e1f45dcf2ee0 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Algorithm Evolution Using Large Language Model
Reference 59
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Observation 0908b8f8-9e85-4985-b61e-d75a7523c410 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Multi-task learning for routing problem with cross-problem zero-shot generalization
Reference 60
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Observation 75f921e9-9a8c-48d9-8aac-15f864156c06 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Evolution of heuristics: Towards efficient automatic algorithm design using large language model
Reference 61
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Observation 5c5dc1c5-c34d-43f3-b265-564b3ca8b9ab · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design A systematic survey on large language models for algorithm design
Reference 62
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Observation 348afbcb-d7fe-4386-bf7b-de1add64b615 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Llm4ad: A platform for algorithm design with large language model
Reference 63
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Observation 0008421a-af99-4adc-8374-cf00055f9c92 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Large language models as evolutionary optimizers
Reference 64
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Observation 19752075-6b82-440c-9f44-8f975a8ac614 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design P., Birattari, M., and St \"u tzle, T
Reference 65
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Observation 48e81711-23be-44d0-bc51-c21390d9332a · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Adaptive cost-aware bayesian optimization
Reference 66
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Observation b0da9a68-ab12-4125-8925-afcec6520c92 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design M., Larsen, J., Ehrgott, M., and Ryan, D
Reference 67
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Observation 1ab3683a-5d5f-494e-885b-710fcb575732 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Learning to iteratively solve routing problems with dual-aspect collaborative transformer
Reference 68
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Observation 48b437ed-b4ac-4f53-8afc-92891eed65af · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Explainable artificial intelligence by genetic programming: A survey
Reference 69
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Observation 071a9640-d781-452f-9bb6-62cb586ab4f1 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design and Freisleben, B
Reference 70
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Observation e8a5a08e-fdef-4f2c-b9ce-0fc1d3d7ccba · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design J., Bradley, H., Gaier, A., Moradi, A., Hoover, A
Reference 71
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Observation dc23aa59-69e9-4d7c-a125-2b95da8d9536 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design On bayesian methods for seeking the extremum
Reference 72
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Observation dce704ef-06f9-46d3-ba0a-50ef4f731319 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design A Comprehensive Overview of Large Language Models
Reference 73
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Observation 9052ef75-c24a-4c31-8ea2-2a9a9c835db6 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers
Reference 74
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Observation d1aa0d52-1ea1-4750-8af6-1492ff0bb1fd · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Heuristic algorithm for scheduling in a flowshop to minimize total flowtime
Reference 75
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Observation efc54aec-b313-422d-8e85-fb29673ace1f · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Tsplib—a traveling salesman problem library
Reference 76
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Observation 008f8276-5f6a-4c42-8730-e182836fa8d2 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design P., Dupont, E., Ruiz, F
Reference 77
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Observation 99e5bd3d-52c5-4603-9f3a-6c13a7f7af98 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design J., Stearns, R
Reference 78
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Observation 177b13f2-9946-4ee2-9709-538d08ff0897 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design C., Amaya, I., Cruz-Duarte, J
Reference 79
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Observation bd2dee7c-7f9e-4ee5-b050-6e88ce490041 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Which local search operator works best for the open-loop tsp? Applied Sciences, 9 0 (19): 0 3985, 2019
Reference 80
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Observation 7fc1abdf-f4c5-4127-ba64-d1fa0683648c · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design P., and De Freitas, N
Reference 81
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Observation fe172f64-1932-4433-9f4c-d112727bef2d · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design W., Han, W., and Si, W
Reference 82
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Observation b2b8a1d5-ae19-430a-9d51-24fb5b11732b · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Reflexion: Language agents with verbal reinforcement learning
Reference 83
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Observation f76bd6a6-414d-4e76-84ad-5c6254e3ca62 · outbound
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design J., Guez, A., Sifre, L., Van Den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al
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