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Paper Citation Record · LEDGER

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

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.

pith.paper-citation-record.v1
2501.08603 v3

Coverage vector

measured 100 of 116 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:26:29.486497Z

measured 122 of 122 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:15:06.846550Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:39:56.699149Z

Reference resolution

100 of 116 outbound references displayed

  • verified exact0
  • verified fuzzy28
  • unresolved72
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d2031d8e-96db-42af-9913-7378176a56c4 · outbound

This paper cites LLMs can Schedule.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design LLMs can Schedule

Reference 1

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source=arxiv_source observed=2026-08-10T20:26:29.015898Z digest=sha256:4c8fbcf24d54351aa2723e438d39042e0121f1a8021b6cab64a929b3962a7b99

Observation 642d8893-f143-42c7-9bdd-13866285f67e · outbound

This paper cites Moea/d-gls: a multiobjective memetic algorithm using decomposition and guided local search.

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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source=arxiv_source observed=2026-08-10T20:26:29.021282Z digest=sha256:f2ccfc7badb6cfda0833d00cb21dbfa9f0e720833b8fb1fc7ac2d7ef38b689ea

Observation 7e4a748a-2a63-436e-a1aa-7bb29c8ba0f2 · outbound

This paper cites an unresolved cited work.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Unresolved cited work

Reference 3

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source=arxiv_source observed=2026-08-10T20:26:29.026452Z digest=sha256:e66aeb13b300562f3c14887180fd68e0b97ad5629e01265f4faaab2a226b4f8d

Observation e527ec01-1ca0-4c0e-af67-3f354f48baac · outbound

This paper cites and S \"o rensen, K.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design and S \"o rensen, K

Reference 4

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source=arxiv_source observed=2026-08-10T20:26:29.030615Z digest=sha256:f6b52d862420a95dac70993e95b91c2430777e73e4927d9d5365c5105c41ed0a

Observation 75d22c0a-3643-416d-8dbf-02623c75be84 · outbound

This paper cites Efficiently solving very large-scale routing problems.

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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source=arxiv_source observed=2026-08-10T20:26:29.034923Z digest=sha256:c0448299a3fe34a3d43c79b6089398e08111d74e02ee872dc6536b5bdfab0fc6

Observation 92a99eea-a43f-4d11-8886-bb95503f42ed · outbound

This paper cites O., Okeyinka, A.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design O., Okeyinka, A

Reference 6

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source=arxiv_source observed=2026-08-10T20:26:29.039192Z digest=sha256:fbd916166e8bed5636ee481a610b45b8e21a9d3305d1409f401dd5688b38fc70

Observation d838426a-9c77-4fe5-87f5-777c758b49c3 · outbound

This paper cites Complexity and approximation: Combinatorial optimization problems and their approximability properties.

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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source=arxiv_source observed=2026-08-10T20:26:29.044763Z digest=sha256:840f93a82d09b3ec186191b48aaffa8b84c5b7a1bbedc10c944ca76c31d2e595

Observation 0cf1044e-3a11-4a5c-8644-fddbe2cd5c9f · outbound

This paper cites B., and Michalewicz, Z.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design B., and Michalewicz, Z

Reference 8

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source=arxiv_source observed=2026-08-10T20:26:29.049287Z digest=sha256:fe7db287cd02c0515a0a727f20e6e5f97f0429d89c2255808191d41f25a71309

Observation a8060a68-d9b8-4a11-82e1-e4eaf9a77836 · outbound

This paper cites Neural Combinatorial Optimization with Reinforcement Learning.

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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source=arxiv_source observed=2026-08-10T20:26:29.066347Z digest=sha256:841e5ef956d95078bd786d2fce8c1ad4c2bbfb2f025efc507f494e3081c0c281

Observation 6abc7bb5-2978-4809-8171-3d7094246db9 · outbound

This paper cites G., Hottung, A., Wouda, N., Lan, L., Park, J., Tierney, K., and Park, J.

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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source=arxiv_source observed=2026-08-10T20:26:29.073357Z digest=sha256:54732b6192a5767806b244ca749e1223b8d8264c089522a1625bd2119f643d70

Observation 42cbf9e0-0219-45cb-ab7b-ca5046fb98aa · outbound

This paper cites The traveling salesman problem a guided tour of combinatorial optimization, 1986.

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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source=arxiv_source observed=2026-08-10T20:26:29.078398Z digest=sha256:274b5a19ee725ba3e7ae2516060396083aeb8e89fa4f35dc0f89fabb66d7b5ed

Observation 2953a510-3055-4887-a387-f45a8a44e477 · outbound

This paper cites H., Jourdan, L., Kessaci-Marmion, M.- \'E ., and Trautmann, H.

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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source=arxiv_source observed=2026-08-10T20:26:29.083018Z digest=sha256:8251bc0427e6b2a703ee2b56324f015212f3effef3a0c3e1cd27f805ab73ccd8

Observation 3eaf27ad-9b01-452e-95f5-a51541ea1474 · outbound

This paper cites R., Cassano, F., Hu, S.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design R., Cassano, F., Hu, S

Reference 13

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source=arxiv_source observed=2026-08-10T20:26:29.087097Z digest=sha256:0a5b217c35eebbf04388bf852224fb36d88ac9d79829025f6343785f272bcfa1

Observation 136b998a-16b4-4243-ad87-16ba8c298369 · outbound

This paper cites and Hougardy, S.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design and Hougardy, S

Reference 14

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source=arxiv_source observed=2026-08-10T20:26:29.091390Z digest=sha256:cb8fb70e597a41cb62739674390f92a4364cc279a3420026e8444fb576146169

Observation 3149646a-afab-43b6-a6aa-dde0e3281434 · outbound

This paper cites B., Powley, E., Whitehouse, D., Lucas, S.

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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source=arxiv_source observed=2026-08-10T20:26:29.095320Z digest=sha256:fad0830b95be6ed224d04049d56ef00d6dd48c81a570613fed37f8dab95ed7b9

Observation be4bc84d-d1fd-442c-85fa-df248147d71e · outbound

This paper cites K., Gendreau, M., Hyde, M., Kendall, G., Ochoa, G., \"O zcan, E., and Qu, R.

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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source=arxiv_source observed=2026-08-10T20:26:29.099627Z digest=sha256:1e5d924f0106602a1e288ef0df4be7cb542c58e69f78ff6450a889e64f2e29a8

Observation 5394287b-c6e1-4632-88c5-734e58815046 · outbound

This paper cites K., Hyde, M.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design K., Hyde, M

Reference 17

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source=arxiv_source observed=2026-08-10T20:26:29.104211Z digest=sha256:ca95a1c9e043b24a9810f2ea3924014b56c8ef34284f142f3f896f9db56d9393

Observation 9f1cc87f-3966-47c9-8aaa-6dc9ee4d7b87 · outbound

This paper cites an unresolved cited work.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Unresolved cited work

Reference 18

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source=arxiv_source observed=2026-08-10T20:26:29.108307Z digest=sha256:0b0bfec5f75a463da492e8872ddb0d4816b685742882bbbe3ae808cb4a4eadcc

Observation ff01588e-dbf6-4f07-949c-dd4f3c5247b5 · outbound

This paper cites Weibull-based benchmarks for bin packing.

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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source=arxiv_source observed=2026-08-10T20:26:29.112524Z digest=sha256:dafe6a321fc47abb6144295285beb134c319a32601319afbeb8911d0eb1b80b6

Observation 272ca0c8-ba45-4721-a750-91796afed801 · outbound

This paper cites Worst-case analysis of a new heuristic for the travelling salesman problem.

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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source=arxiv_source observed=2026-08-10T20:26:29.118765Z digest=sha256:70b6b7a2fc9fa80d5a2f657c3eb18ca1a3c3a02992f58f71d0d174ba0ff0c9ef

Observation eed8803f-ea08-4cbe-bbd0-4d920734b045 · outbound

This paper cites elo ratings.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design elo ratings

Reference 21

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source=arxiv_source observed=2026-08-10T20:26:29.123018Z digest=sha256:b42b0439776f4ccfda97d8ae67aab38d1f6649136812d76d7a25b3c640d1f9b6

Observation b2c8d8f9-8998-4e37-b8a0-0e55d7da67b6 · outbound

This paper cites Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search.

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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source=arxiv_source observed=2026-08-10T20:26:29.127848Z digest=sha256:d7201b4a9056e9ca46fd23be326d3ff56e59c6aa0aba2cb354e202082a95456f

Observation 4c6908a3-8793-4dd3-bfdf-e6101ee694fe · outbound

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

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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source=arxiv_source observed=2026-08-10T20:26:29.132342Z digest=sha256:13d2708d66951b22870aa7d6dd8cde6837147f07cf809197e8724d954349f2df

Observation 6192e040-4c64-4762-9b8e-11e708f66880 · outbound

This paper cites Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS.

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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source=arxiv_source observed=2026-08-10T20:26:29.136716Z digest=sha256:9a0ab0685aa4477caadf3237da66ae3e1cb681530df587ae8926aa80b89547a6

Observation f1164bf7-054e-49d6-8f3b-4acd635cb261 · outbound

This paper cites Heuristic and meta-heuristic algorithms and their relevance to the real world: a survey.

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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source=arxiv_source observed=2026-08-10T20:26:29.141542Z digest=sha256:def97456bb2f87b9cb6e1c93b4d229b36d5789b58f1d04c7d98da68cb6607bfd

Observation 150f36bd-f16b-46fc-a722-111936cdff28 · outbound

This paper cites Ant colony optimization.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Ant colony optimization

Reference 26

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source=arxiv_source observed=2026-08-10T20:26:29.145942Z digest=sha256:dab97aad388bf27cad60fc1a5afb490e5b55d498ef2bed6ae35dfd7230b7f94e

Observation 713296fa-ff02-4f5f-9b58-61c528c75461 · outbound

This paper cites GOAL: A Generalist Combinatorial Optimization Agent Learner.

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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source=arxiv_source observed=2026-08-10T20:26:29.149907Z digest=sha256:a6564acc3dbf04cec454ee3664d7049be24a7afb4b6893855579d5f895787ae0

Observation 8c32a0c7-11c8-4f23-8987-ae44ec30e820 · outbound

This paper cites R., Danoy, G., and Bouvry, P.

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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source=arxiv_source observed=2026-08-10T20:26:29.156220Z digest=sha256:96935924865c2dcdc70aa401cc0337fbd6ecdab3fbce50f2cd677b54d5685970

Observation f2b59fb4-1ab6-47ea-ba03-cf7dfcd73eda · outbound

This paper cites an unresolved cited work.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Unresolved cited work

Reference 29

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source=arxiv_source observed=2026-08-10T20:26:29.160880Z digest=sha256:c7cbbd3f22ae5c02c6b419dd408c8d553d99ebf141d4f864c4f78c1c63dae8a3

Observation 11b85831-dbcd-4a8f-acf3-7e651b70d0c8 · outbound

This paper cites Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training.

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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source=arxiv_source observed=2026-08-10T20:26:29.165127Z digest=sha256:35868d0573d09c96b9c149956313589f22b92b8d44f0ea8d7dfe87496d61b855

Observation a2cfc6bb-3691-459f-9143-6e88415a01a0 · outbound

This paper cites Exact methods for the asymmetric traveling salesman problem.

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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source=arxiv_source observed=2026-08-10T20:26:29.169501Z digest=sha256:0884cbb820d8eb5057c49a73c44b115a6d23769c46f5610879a6db8a0738cb70

Observation f6a0aeb4-08a0-4aa8-a9cb-ca5b54c61b41 · outbound

This paper cites Generalize a small pre-trained model to arbitrarily large tsp instances.

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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source=arxiv_source observed=2026-08-10T20:26:29.174094Z digest=sha256:b9305a235bdcdc0e078a7225b18d96947013559075ab6562c6cc0b10dc20dea5

Observation 5ce5d832-f445-4889-95ad-62c7184bf29e · outbound

This paper cites Towards generalizable neural solvers for vehicle routing problems via ensemble with transferrable local policy, 2024.

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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source=arxiv_source observed=2026-08-10T20:26:29.178120Z digest=sha256:81c734f88cd0654b1df0b93fdd6b1a22a371f3bfd06289bd2649b4c7037f8fb4

Observation d348343f-f701-43e9-8560-b329081a26cd · outbound

This paper cites Towards Optimizing with Large Language Models.

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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source=arxiv_source observed=2026-08-10T20:26:29.183022Z digest=sha256:2ad3b59d3a539c4c8b88271e6a551700b8af26ae057c8e7088fc790017211dad

Observation 7abd2965-d202-4188-81b2-640b76be3125 · outbound

This paper cites U., Qureshi, R., Shah, A., Irfan, M., Zafar, A., Shaikh, M.

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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source=arxiv_source observed=2026-08-10T20:26:29.187962Z digest=sha256:858038f56cce7eb839d6b394be2fd664779abab4fa210f05b66bafaf34472065

Observation 82de5067-01ae-466a-ab71-6998823672b0 · outbound

This paper cites U., Al Tashi, Q., Shah, A., Qureshi, R., Muneer, A., Irfan, M., Zafar, A., Shaikh, M.

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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source=arxiv_source observed=2026-08-10T20:26:29.192487Z digest=sha256:d2bb7aedb3b02d729b3aa3cf3842d6692a09fc763626be03d2509057a4309ee2

Observation 5cd226e5-2594-459c-b539-a739fb81abf8 · outbound

This paper cites Deep residual learning for image recognition.

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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source=arxiv_source observed=2026-08-10T20:26:29.196827Z digest=sha256:a3ca4a7c576b1bd4c0fa2f177f5c9b4cf2c98e9f82d94243be97d112b0234112

Observation 1da22e6b-3a6b-4cce-85da-6ae9ec7e497e · outbound

This paper cites L., and Ding, J.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design L., and Ding, J

Reference 38

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source=arxiv_source observed=2026-08-10T20:26:29.201127Z digest=sha256:f872fc0cbab09e5aaa8306d12876467dcc009265c77af34921185182b19c1a21

Observation 9370f00c-a47a-4c7e-ab9f-0ced3329e8c1 · outbound

This paper cites An extension of the lin-kernighan-helsgaun tsp solver for constrained traveling salesman and vehicle routing problems.

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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source=arxiv_source observed=2026-08-10T20:26:29.204958Z digest=sha256:be1e8a68e471f000b2de1787cf0e585f7b5eaf0122acbcb49e1e3cd02cdf045d

Observation 89d564f9-2463-4bd9-a5ad-645bc193b40e · outbound

This paper cites Evolving code with a large language model.

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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no resolver link, observed 2026-08-10T20:26:29.209391Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T20:26:29.209391Z digest=sha256:ec7b8b3a62bbf93ea1f766cdb108de0c523c8d84d8ce3b71aaf57484cbd3e49d

Observation 40b54d22-8319-4730-9d08-5a34222bba4d · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.

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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source=arxiv_source observed=2026-08-10T20:26:29.213917Z digest=sha256:42cd8f987a3ff38d36cdccc2ad90395e39f3f08523854923ae5b9dbf00611bf9

Observation 025c0730-1e1a-4ec6-b229-6f8a9e7c1853 · outbound

This paper cites Understanding the planning of LLM agents: A survey.

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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no resolver link, observed 2026-08-10T20:26:29.217882Z

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source=arxiv_source observed=2026-08-10T20:26:29.217882Z digest=sha256:12dac200ecf2b373308b8ac20690a4d4e96bdc10dd4e209d708949fac4a44ba5

Observation d0de737b-0b07-470c-ad88-f1a21e3c5a34 · outbound

This paper cites Graph Neural Network Guided Local Search for the Traveling Salesperson Problem.

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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no resolver link, observed 2026-08-10T20:26:29.222385Z

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source=arxiv_source observed=2026-08-10T20:26:29.222385Z digest=sha256:22e915bacd14dfb8db082a8964f83212f54e34bb518d48366f44cc7681c82760

Observation e3dfb712-088c-4723-9f75-35d575d9fe92 · outbound

This paper cites Bridging Large Language Models and Optimization: A Unified Framework for Text-attributed Combinatorial Optimization.

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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no resolver link, observed 2026-08-10T20:26:29.226678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.226678Z digest=sha256:371fdf98ae4189c15a1c2983b9b2a1ec39abd690b61e7aa93ddc9f91df1a4c65

Observation 52f255aa-90eb-45ea-b340-44e030371b38 · outbound

This paper cites LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks.

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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no resolver link, observed 2026-08-10T20:26:29.231090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.231090Z digest=sha256:5c25a6c80e54480a880cd9fee45cc0bf03cdeb4ca93aaa4af88631e0d0a12d75

Observation 539192d3-9da2-4d58-8442-01a530026c0a · outbound

This paper cites Ant Colony Sampling with GFlowNets for Combinatorial Optimization.

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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no resolver link, observed 2026-08-10T20:26:29.236126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.236126Z digest=sha256:af2eb9e40984b549fb98bf3541ec6e87d26a3759938d6911f174f19412022ec3

Observation 0eea55a7-bf1b-4c35-8444-90076554ee3d · outbound

This paper cites and Szepesv \'a ri, C.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design and Szepesv \'a ri, C

Reference 47

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no resolver link, observed 2026-08-10T20:26:29.240269Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.240269Z digest=sha256:4117b9ed43f64f152ea634b8664115a65011a4ccac76dd86f90cb9a80483012a

Observation 468eff75-2c86-4bb1-9e3e-4fe8ec7c7990 · outbound

This paper cites Attention, Learn to Solve Routing Problems!.

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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no resolver link, observed 2026-08-10T20:26:29.244054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.244054Z digest=sha256:7ffcd2b7d44c40feab249544175b9059452206381b403383e4cdca95e7d4ba25

Observation d6a9e145-b684-4c1f-925f-e06d7dc1a058 · outbound

This paper cites H., Vygen, J., Korte, B., and Vygen, J.

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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no resolver link, observed 2026-08-10T20:26:29.248566Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T20:26:29.248566Z digest=sha256:c90e926caf9fb7a5e4a1804721b2c1ba06698f5dcd9c56361e350427dcff4294

Observation 6596c9b8-74dd-46dc-b588-cbe1952f1360 · outbound

This paper cites Pomo: Policy optimization with multiple optima for reinforcement learning.

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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no resolver link, observed 2026-08-10T20:26:29.253615Z

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source=arxiv_source observed=2026-08-10T20:26:29.253615Z digest=sha256:5ba268eefcc62b5426fce25c356765d1736d3f31b8f320063a74f6b8a8339671

Observation 020c141f-db95-4b8c-9031-078d5729218b · outbound

This paper cites Matrix encoding networks for neural combinatorial optimization.

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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no resolver link, observed 2026-08-10T20:26:29.257738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.257738Z digest=sha256:f4ee7f07692eeb9dd341018e1b4b16f10a8c6a70caf21e105404c4902630a87a

Observation 8e3e47cd-0de3-49fe-8f26-ba8ad12e7ae1 · outbound

This paper cites an unresolved cited work.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Unresolved cited work

Reference 52

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no resolver link, observed 2026-08-10T20:26:29.263038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.263038Z digest=sha256:c182c63704688d8c741d6350be1171f0f978c387e72b9047293d043628e89e25

Observation eac4f2fd-b047-49a4-b354-85b226c84545 · outbound

This paper cites an unresolved cited work.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Unresolved cited work

Reference 53

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unresolved
raw_fallback, observed 2026-08-10T20:26:30.888080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.267207Z digest=sha256:5bbca1508c09a1da8a431d136ee068360c72132f7164de4ff9358793b6be0736

Observation 29fe87b0-d1a8-444e-8318-d58cab76c2b0 · outbound

This paper cites Large language models as evolution strategies.

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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no resolver link, observed 2026-08-10T20:26:29.271682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.271682Z digest=sha256:e9a445ae97930c9d6c7c9317f54f7750d0a2644a063ead54519090f433aa80ac

Observation 7a1e5d5b-b53c-4dbb-990a-5125ab3a4555 · outbound

This paper cites Cost-aware Bayesian Optimization.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Cost-aware Bayesian Optimization

Reference 55

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no resolver link, observed 2026-08-10T20:26:29.275949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.275949Z digest=sha256:4d721bd115082f3008c3ad64b9a57b5f23a68e32adf2839557e47f1d5d212b26

Observation 5217f6b4-7ddf-4906-9d24-a4191117f5cb · outbound

This paper cites Monte-carlo tree search in continuous action spaces with value gradients.

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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verified fuzzy
raw_fallback, observed 2026-08-10T20:26:30.866850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.280408Z digest=sha256:2dcd50b04adc5d267e8ba1a2c781d1c68707924a639d6bf48a160674481900d0

Observation b143ecd8-a95d-451d-bb7a-a0d5e37b9655 · outbound

This paper cites an unresolved cited work.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Unresolved cited work

Reference 57

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.284369Z digest=sha256:3e22ca79d66ed024564799b5c58985791eefc596d44659667c8360a609f85a06

Observation 82843513-f6f5-4375-b82d-cf6fa658f81f · outbound

This paper cites and Kernighan, B.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design and Kernighan, B

Reference 58

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verified fuzzy
raw_fallback, observed 2026-08-10T20:26:30.843728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.288979Z digest=sha256:6a1693a81c8b472349e040de5e56e57333d4f7adb464f5c7c98fe5d64f309d9e

Observation 50aaebed-9224-4e26-a73d-e1f45dcf2ee0 · outbound

This paper cites Algorithm Evolution Using Large Language Model.

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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no resolver link, observed 2026-08-10T20:26:29.293725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.293725Z digest=sha256:b55132c9ca6a7b632516db41664202507b4528fbb8d6e73a1aee3ab48150c94e

Observation 0908b8f8-9e85-4985-b61e-d75a7523c410 · outbound

This paper cites Multi-task learning for routing problem with cross-problem zero-shot generalization.

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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verified fuzzy
raw_fallback, observed 2026-08-10T20:26:30.829724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.298130Z digest=sha256:9bcb636e39cd4f4a263089a588027b44d01a0a423cda1adaf4137e9e29e32c54

Observation 75f921e9-9a8c-48d9-8aac-15f864156c06 · outbound

This paper cites Evolution of heuristics: Towards efficient automatic algorithm design using large language model.

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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verified fuzzy
raw_fallback, observed 2026-08-10T20:26:30.816623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.302378Z digest=sha256:079d9e7446a728a7ab129df48bc1a21a92b3b506f5c3d5c1b158a77ae10a6182

Observation 5c5dc1c5-c34d-43f3-b265-564b3ca8b9ab · outbound

This paper cites A systematic survey on large language models for algorithm design.

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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no resolver link, observed 2026-08-10T20:26:29.307359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.307359Z digest=sha256:13121f44ee4d8681c829e90350092a95a60e67cce4f23b4d76445fea58bd6c1f

Observation 348afbcb-d7fe-4386-bf7b-de1add64b615 · outbound

This paper cites Llm4ad: A platform for algorithm design with large language model.

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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no resolver link, observed 2026-08-10T20:26:29.313232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.313232Z digest=sha256:0925b372877e01c2c820d875215e043353189e3ae91a9808f84ff3751b623b24

Observation 0008421a-af99-4adc-8374-cf00055f9c92 · outbound

This paper cites Large language models as evolutionary optimizers.

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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verified fuzzy
raw_fallback, observed 2026-08-10T20:26:30.801902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.319347Z digest=sha256:630140719c06f10ca0fc84a2b231d9f79dea57039b1ccf04f1a3a1ea7848b75a

Observation 19752075-6b82-440c-9f44-8f975a8ac614 · outbound

This paper cites P., Birattari, M., and St \"u tzle, T.

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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verified fuzzy
raw_fallback, observed 2026-08-10T20:26:30.789321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.324008Z digest=sha256:ea2be94cf0cd8947af25d6874903f788ea411afe83b5b214f4f16bb4888d1e75

Observation 48e81711-23be-44d0-bc51-c21390d9332a · outbound

This paper cites Adaptive cost-aware bayesian optimization.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Adaptive cost-aware bayesian optimization

Reference 66

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verified fuzzy
raw_fallback, observed 2026-08-10T20:26:30.777287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.328341Z digest=sha256:0e5f440482c0c2bb270bcb96d0444e2e2f22a4a45202346064191c646d58fce6

Observation b0da9a68-ab12-4125-8925-afcec6520c92 · outbound

This paper cites M., Larsen, J., Ehrgott, M., and Ryan, D.

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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verified fuzzy
raw_fallback, observed 2026-08-10T20:26:30.764162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.333727Z digest=sha256:a4bbe2f51197e26bcfe69f268a01b3364a195fa568d44e0ccd6094bd3c663b76

Observation 1ab3683a-5d5f-494e-885b-710fcb575732 · outbound

This paper cites Learning to iteratively solve routing problems with dual-aspect collaborative transformer.

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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verified fuzzy
raw_fallback, observed 2026-08-10T20:26:30.750368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.338462Z digest=sha256:5ad70f00b6ecd54c0ffc636e28ef11a94c554dc6906a3c5272877d47d47e3c12

Observation 48b437ed-b4ac-4f53-8afc-92891eed65af · outbound

This paper cites Explainable artificial intelligence by genetic programming: A survey.

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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verified fuzzy
raw_fallback, observed 2026-08-10T20:26:30.736957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.342436Z digest=sha256:9f503f2fe3f6bfe72668a2aefe63f065979a011efe15ccc101489441f0763d8f

Observation 071a9640-d781-452f-9bb6-62cb586ab4f1 · outbound

This paper cites and Freisleben, B.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design and Freisleben, B

Reference 70

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verified fuzzy
raw_fallback, observed 2026-08-10T20:26:30.723686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.347410Z digest=sha256:12dc25e70102d1085521e1a1e818b948f116c99c32d56362902275642d47b600

Observation e8a5a08e-fdef-4f2c-b9ce-0fc1d3d7ccba · outbound

This paper cites J., Bradley, H., Gaier, A., Moradi, A., Hoover, A.

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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unresolved
no resolver link, observed 2026-08-10T20:26:29.351658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.351658Z digest=sha256:eeeb253c57d62742e478e0d1e778eb72fbb6567d597404f681bae490f6ab7d0d

Observation dc23aa59-69e9-4d7c-a125-2b95da8d9536 · outbound

This paper cites On bayesian methods for seeking the extremum.

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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verified fuzzy
raw_fallback, observed 2026-08-10T20:26:30.709381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.355785Z digest=sha256:c4a6d93afc0f7d611d433a07db59ab0971145bbfc3bf6d2c71dab872e8f88331

Observation dce704ef-06f9-46d3-ba0a-50ef4f731319 · outbound

This paper cites A Comprehensive Overview of Large Language Models.

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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unresolved
no resolver link, observed 2026-08-10T20:26:29.359861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.359861Z digest=sha256:f4e78ca90b424cb6bb335de8ddad99d092e9fd1c5d75deeb311ece2b5597cdc6

Observation 9052ef75-c24a-4c31-8ea2-2a9a9c835db6 · outbound

This paper cites Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers.

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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unresolved
no resolver link, observed 2026-08-10T20:26:29.365118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.365118Z digest=sha256:36601d6065acd0a87109907c5881ae383c1e85213d5775ef27b2314958806a41

Observation d1aa0d52-1ea1-4750-8af6-1492ff0bb1fd · outbound

This paper cites Heuristic algorithm for scheduling in a flowshop to minimize total flowtime.

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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verified fuzzy
raw_fallback, observed 2026-08-10T20:26:30.694290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.370512Z digest=sha256:d20aeb9fefbd5b1d866cb26af1e9ac7d0f58211655e8e55b54c4174916d830b6

Observation efc54aec-b313-422d-8e85-fb29673ace1f · outbound

This paper cites Tsplib—a traveling salesman problem library.

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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raw_fallback, observed 2026-08-10T20:26:30.681097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.375185Z digest=sha256:f58a5d4c7e1ed37be87f39c152fbceb3593bc94c372440db43f53b03de4fc4ce

Observation 008f8276-5f6a-4c42-8730-e182836fa8d2 · outbound

This paper cites P., Dupont, E., Ruiz, F.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design P., Dupont, E., Ruiz, F

Reference 77

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no resolver link, observed 2026-08-10T20:26:29.379560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.379560Z digest=sha256:6c77805ebbd87f50d9a62e0976bce33f4b4447919efcbc635450e62078558d12

Observation 99e5bd3d-52c5-4603-9f3a-6c13a7f7af98 · outbound

This paper cites J., Stearns, R.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design J., Stearns, R

Reference 78

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raw_fallback, observed 2026-08-10T20:26:30.657177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.384031Z digest=sha256:168bb4f7e553486a22bb72047c2e8cc6e14508788a871b6d4de676eee14eed1b

Observation 177b13f2-9946-4ee2-9709-538d08ff0897 · outbound

This paper cites C., Amaya, I., Cruz-Duarte, J.

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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raw_fallback, observed 2026-08-10T20:26:30.644580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.388326Z digest=sha256:5fcde78a06144a3018cb8efcca1e52644315bd28c39f02d8e032ca24be4dc80e

Observation bd2dee7c-7f9e-4ee5-b050-6e88ce490041 · outbound

This paper cites Which local search operator works best for the open-loop tsp? Applied Sciences, 9 0 (19): 0 3985, 2019.

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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raw_fallback, observed 2026-08-10T20:26:30.630768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.392336Z digest=sha256:5543eba277c3ce9ba9f05eeae81c9abe13b4606c2d1e35eae9f991ecf362ab3d

Observation 7fc1abdf-f4c5-4127-ba64-d1fa0683648c · outbound

This paper cites P., and De Freitas, N.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design P., and De Freitas, N

Reference 81

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no resolver link, observed 2026-08-10T20:26:29.396658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.396658Z digest=sha256:3b94943eb483e06e427008cfec90255a9ec70254a6a895fde0cbfbcd2d355d46

Observation fe172f64-1932-4433-9f4c-d112727bef2d · outbound

This paper cites W., Han, W., and Si, W.

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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verified fuzzy
raw_fallback, observed 2026-08-10T20:26:30.610372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.401203Z digest=sha256:121ca7b876f31b2a397b2489ed781518a29436e935a9e576eeb2512825a367dc

Observation b2b8a1d5-ae19-430a-9d51-24fb5b11732b · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.

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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no resolver link, observed 2026-08-10T20:26:29.405329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.405329Z digest=sha256:39a5a52223f23be067067c1f0d03ba2d5c8080c2b7fdeaa58da542ba5f40a6dc

Observation f76bd6a6-414d-4e76-84ad-5c6254e3ca62 · outbound

This paper cites J., Guez, A., Sifre, L., Van Den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al.

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

Reference 84

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unresolved
no resolver link, observed 2026-08-10T20:26:29.409365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.409365Z digest=sha256:9d2944a63ab48841af22a3a0fdfead6f8557eababdc31f52418c780cf427392a

Observation 2df4ec8e-3c49-47a8-9b73-36cb5fe87e3d · outbound

This paper cites an unresolved cited work.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Unresolved cited work

Reference 85

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no resolver link, observed 2026-08-10T20:26:29.413290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.413290Z digest=sha256:1bea188c1c1283c08d634d90e2a3e7178bf23f30d6bd5ea4edb49b884ab51309

Observation 5a79a03b-bc45-4376-91a7-5a3fdd1a16f7 · outbound

This paper cites and L \'o pez-Ib \'a \ n ez, M.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design and L \'o pez-Ib \'a \ n ez, M

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:26:30.573173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.417893Z digest=sha256:f4c8f8dff6737d3a75b294700e532d2c620b6e31198c5faca331d673bd541350

Observation bc83e7af-e4d7-4f4f-8909-539e830a46e9 · outbound

This paper cites Neuralgls: learning to guide local search with graph convolutional network for the traveling salesman problem.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Neuralgls: learning to guide local search with graph convolutional network for the traveling salesman problem

Reference 87

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verified fuzzy
raw_fallback, observed 2026-08-10T20:26:30.561093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.422529Z digest=sha256:698c0dff6b18605a761ca04c3c966f7c726a6d052e805898e9f0de689df42051

Observation e236f131-20ee-4d77-a54a-4d56b3b8a6eb · outbound

This paper cites Monte carlo tree search: A review of recent modifications and applications.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Monte carlo tree search: A review of recent modifications and applications

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:26:30.548831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.428785Z digest=sha256:f829a055e27878c26f64eb47371a996d421216b6c097984cb318e7293cf14c52

Observation eb5dd17b-85f3-4243-bbbf-a85f030439f9 · outbound

This paper cites S., Mohd-Mokhtar, R., and Arshad, M.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design S., Mohd-Mokhtar, R., and Arshad, M

Reference 89

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verified fuzzy
raw_fallback, observed 2026-08-10T20:26:30.534911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.433343Z digest=sha256:5705444b0acfd21cda6a58765357146137ddd1114c20d59c17ac3250c4201887

Observation ef2ff5f1-f49f-42cb-83d7-f93991c82a23 · outbound

This paper cites Analysis of rebuild local search operator for tsp.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Analysis of rebuild local search operator for tsp

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:26:30.520875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.439535Z digest=sha256:65d0fba174d1762a6322299cc0064702f4d10184914e190ecfb30762e593aaef

Observation 810962b2-fe67-47ef-b24e-85119a738112 · outbound

This paper cites N., Kaiser, ., and Polosukhin, I.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design N., Kaiser, ., and Polosukhin, I

Reference 91

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unresolved
no resolver link, observed 2026-08-10T20:26:29.443876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.443876Z digest=sha256:ddb9192c891f949d226a0965ece1311e2347f71aaf0b7d8ad8e1206dec515df1

Observation 96804a3c-052e-4531-ae56-8b6e90016d7d · outbound

This paper cites Pointer networks.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Pointer networks

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:26:30.500238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.447906Z digest=sha256:2746ffbff63391a8bb6fa2457021c7340c64d08ea44de121fdbfe50df72bbe56

Observation dd3a923e-0b33-4cfa-88ee-d83243c45b1f · outbound

This paper cites and Tsang, E.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design and Tsang, E

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:26:30.487205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.454689Z digest=sha256:42465c02361fac00ad0e074c5df8d4f35b8f452a78ccdc3f746d39dcf5fe42c1

Observation e6469f77-1a42-4939-8424-c1572eb08556 · outbound

This paper cites V., Zhou, D., et al.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design V., Zhou, D., et al

Reference 94

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no resolver link, observed 2026-08-10T20:26:29.460032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.460032Z digest=sha256:09ebc8ba1e40b9892c4c4189533843801c83a8ebc6df5900466c8940b43e5a35

Observation d4e7598d-1ac8-44e4-8709-277143fb3a2a · outbound

This paper cites System 2 Attention (is something you might need too).

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design System 2 Attention (is something you might need too)

Reference 95

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unresolved
no resolver link, observed 2026-08-10T20:26:29.464722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.464722Z digest=sha256:c9e7f3a1e2b88f74e381dba8d181af907be9596ee5ec4801fbbc84a88d184589

Observation 22c3ebdd-6e5e-4b54-8e17-f6d269b92f64 · outbound

This paper cites an unresolved cited work.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Unresolved cited work

Reference 96

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unresolved
no resolver link, observed 2026-08-10T20:26:29.469078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.469078Z digest=sha256:63ae101df5416df1dac3a13f01fc5d5b03cdcfc9bc569ede5ef78ce5285e99b1

Observation 73f8aeeb-eb13-46cf-9191-d18296fd398b · outbound

This paper cites Learning improvement heuristics for solving routing problems.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Learning improvement heuristics for solving routing problems

Reference 97

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verified fuzzy
raw_fallback, observed 2026-08-10T20:26:30.459352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.473148Z digest=sha256:aeafc12427935be5535d21247cf7bf7e029f17ebe23aebb6f3c97e8056803ac2

Observation 72a67aa7-c392-462a-8cf2-18f6e957d04f · outbound

This paper cites Pre-tokenization of numbers for large language models.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Pre-tokenization of numbers for large language models

Reference 98

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verified fuzzy
raw_fallback, observed 2026-08-10T20:26:30.447216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.477502Z digest=sha256:a91f2605ea9619879133d1bef1946d68068a40975e6801f084ec4632f68b2045

Observation 9a4c6387-6ca9-4d83-8090-c06b6759f908 · outbound

This paper cites Neurolkh: Combining deep learning model with lin-kernighan-helsgaun heuristic for solving the traveling salesman problem.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Neurolkh: Combining deep learning model with lin-kernighan-helsgaun heuristic for solving the traveling salesman problem

Reference 99

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verified fuzzy
raw_fallback, observed 2026-08-10T20:26:30.433448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T20:26:29.481759Z digest=sha256:b12547f1e140dbee9126704775b2f8f1efde92955a7f5db8202c337b86bab2be

Observation c305b824-b1b8-46a1-87dd-7a0cbcaf468c · outbound

This paper cites Large Language Models as Optimizers.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Large Language Models as Optimizers

Reference 100

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no resolver link, observed 2026-08-10T20:26:29.486497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:26:29.486497Z digest=sha256:c502fc8bd8d08fb9d687c5ccd44067d84012d1750ae19953e3f2f30277b582cf

Pith citing papers

Observation 1e64a29d-4968-40ba-ac57-f06e3e17d3f3 · inbound

Explainable AI-assisted Optimization for Feynman Integral Reduction cites this paper.

Explainable AI-assisted Optimization for Feynman Integral Reduction Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 83

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unresolved
no resolver link, observed 2026-08-07T21:11:56.637641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:11:56.637641Z digest=sha256:b36a1e95e96525fb84f3027515e8b0cc61e269bbec81c1ff85a7ede5fcf789b7

Observation 80104fb0-7886-4760-87d1-cd3100a41473 · inbound

Reasoning LLMs are Wandering Solution Explorers cites this paper.

Reasoning LLMs are Wandering Solution Explorers Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 35

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unresolved
no resolver link, observed 2026-08-07T14:01:14.866863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:01:14.866863Z digest=sha256:c13467a9c0fd4f4ba215a3960c7acd198e1a46ac215266d668e5b1c8f352a755

Observation 1b0e85c0-69ea-468d-908e-0cb4c2e20320 · inbound

iDSE: Navigating Design Space Exploration in High-Level Synthesis Using LLMs cites this paper.

iDSE: Navigating Design Space Exploration in High-Level Synthesis Using LLMs Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 76

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unresolved
no resolver link, observed 2026-08-07T13:20:57.564365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:20:57.564365Z digest=sha256:14feca9e3ee5944d7d15c3e2478fcb4367ad43682c37a9f7eeed6c00e3ac5b64

Observation b7acd3fa-06b0-4497-87a5-1012cee4c031 · inbound

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories cites this paper.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 38

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unresolved
no resolver link, observed 2026-08-06T21:13:13.077881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:13:13.077881Z digest=sha256:688aa6d3a153dbb3d3dfc3141de19255f70866b2da5433d0b49a45b47b9a5dc9

Observation 8a413b4d-c7e9-4a91-b607-8b6cf0a66171 · inbound

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning cites this paper.

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 21

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unresolved
no resolver link, observed 2026-08-05T23:49:05.708180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:49:05.708180Z digest=sha256:3e0722b21e61a8d2140589ef298e9aee14b694b6553ba6f48fc011119b7f7b4c

Observation 2c351161-ec41-4b80-9e51-984e8fcd3a9f · inbound

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving cites this paper.

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 168

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unresolved
no resolver link, observed 2026-08-04T20:55:41.737491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:55:41.737491Z digest=sha256:373cd63725e0ac971ff3f3e45a63deeafb31604f46294fac48b53403fdff4d05

Observation b4163532-2beb-449d-b178-a9e22f01a983 · inbound

URS: A Unified Neural Routing Solver for Cross-Problem Zero-Shot Generalization cites this paper.

URS: A Unified Neural Routing Solver for Cross-Problem Zero-Shot Generalization Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 63

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unresolved
no resolver link, observed 2026-08-04T14:51:25.067330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:51:25.067330Z digest=sha256:42758cd771c2f1fd888c3bab6b551a5d98862b76385ff371f1969280578e3d22

Observation 4da70347-7c3c-401e-90df-bdafb3bd90a1 · inbound

Glia: A Human-Inspired AI for Automated Systems Design and Optimization cites this paper.

Glia: A Human-Inspired AI for Automated Systems Design and Optimization Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:30:51.073727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T03:28:59.276079Z digest=sha256:791e155fc32e42f54e239a691fc44c992cdc32a2233baf7f6bf3b4e08a1b57d3

Observation 1d3bdde0-9044-4a6a-9ca8-db616a8d2005 · inbound

EndoCoT: Scaling Endogenous Chain-of-Thought Reasoning in Diffusion Models cites this paper.

EndoCoT: Scaling Endogenous Chain-of-Thought Reasoning in Diffusion Models Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 43

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unresolved
no resolver link, observed 2026-07-14T22:25:04.080629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T22:25:04.080629Z digest=sha256:9ba9bdd6a2da0cad7104ffcc56c2fae5508c54e40dbe52b8c14d7f1932ebd8b8

Observation fd255605-c42c-48ac-ba52-9ebd6fe2f64e · inbound

Automated Large-scale CVRP Solver Design via LLM-assisted Flexible MCTS cites this paper.

Automated Large-scale CVRP Solver Design via LLM-assisted Flexible MCTS Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:31:16.913378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-07T16:47:38.834354Z digest=sha256:b9ce0428c9f73d628b9eeaf794851ea49e0e6d16fc0ffc92b7771d9dd14d3a10

Observation 3e51fbba-5732-4e83-93a7-976d252b689f · inbound

HMACE: Heterogeneous Multi-Agent Collaborative Evolution for Combinatorial Optimization cites this paper.

HMACE: Heterogeneous Multi-Agent Collaborative Evolution for Combinatorial Optimization Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 51

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malformed identifier
arxiv_id, observed 2026-05-11T01:50:51.173520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-11T01:49:50.520222Z digest=sha256:559f368ebbc1ec413bc0858924983799d666bd8399fa21159fa4a1e1c55f7ad9

Observation 86393c54-efea-4f18-99da-ba663aee869f · inbound

AHD Agent: Agentic Reinforcement Learning for Automatic Heuristic Design cites this paper.

AHD Agent: Agentic Reinforcement Learning for Automatic Heuristic Design Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T08:21:23.878537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T01:14:39.643357Z digest=sha256:6ad92a8b6f71feea8e712af737fa761ad83aaf6b28ce3c6489586938470e1e33

Observation e5c83030-2258-4cf2-a859-0338341121c2 · inbound

Budget-Efficient Automatic Algorithm Design via Code Graph cites this paper.

Budget-Efficient Automatic Algorithm Design via Code Graph Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:06:25.538263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T03:46:09.715264Z digest=sha256:767bb78f9ddd5293feb3cf4ed76dd094a2e6572d9e7da717fbb8334e69d869f9

Observation ebc68764-d25a-448d-a787-fb9118e2dd19 · inbound

Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches cites this paper.

Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:08:12.198414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-20T10:07:01.820644Z digest=sha256:57d71c6ffb199e189f5e51e350fcd7d4d7ed496eb34669096b3cc5d02fecb06f

Observation 340380be-5a4a-4fc7-abb5-bf9b11651db1 · inbound

MeEvo: Metacognitive Evolution Combined with Natural Evolution for Automatic Heuristic Design cites this paper.

MeEvo: Metacognitive Evolution Combined with Natural Evolution for Automatic Heuristic Design Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T16:48:40.036323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T05:01:48.486590Z digest=sha256:212a1b1b3d13758cbf7a806e78743c16f073fd8f66ba31056c5b3c4ed03c13be

Observation e7a37659-ba47-4e4b-bc80-d45f53848525 · inbound

MeEvo: Metacognitive Evolution Combined with Natural Evolution for Automatic Heuristic Design cites this paper.

MeEvo: Metacognitive Evolution Combined with Natural Evolution for Automatic Heuristic Design Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T10:54:36.232402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T10:53:36.354925Z digest=sha256:d6f2fcfad6c339aeafbb4e8c8ea766354f79a485a173dbf9deaaa5bac500b3e0

Observation 5be6e065-cf57-4456-b3f5-e2f959003285 · inbound

AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents cites this paper.

AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-06-29T17:03:41.276369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-29T16:55:21.649886Z digest=sha256:2de04d23abad6e3c1026e5da5239214371be0a6a826cd64f239bc22bf0566c44

Observation 4223abb3-2cc0-453a-b0a0-2bb1ff176a90 · inbound

Geometry-Aware MCTS for Extremal Problems in Combinatorial Geometry cites this paper.

Geometry-Aware MCTS for Extremal Problems in Combinatorial Geometry Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T15:39:56.700650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T01:31:06.792515Z digest=sha256:dff76496955c3b491b81d6db161bf095c4c24295208ac5fac24e07a3be687fbd

Observation 95a9f516-daed-4077-b58a-8d60d0886afc · inbound

Scientific discovery as meta-optimization: a combinatorial optimization case study cites this paper.

Scientific discovery as meta-optimization: a combinatorial optimization case study Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T13:29:51.427787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T05:12:43.536126Z digest=sha256:68b6d440f5a6aecb5f0c3be387f2ac3a3f0e774f241e2c13af837098296b0400

Observation 9127291e-c07c-4b1c-acb8-08e5b4e6c851 · inbound

SpecAHD: Localize to Specialize for Automated Heuristic Design in Large-Scale Routing Problems cites this paper.

SpecAHD: Localize to Specialize for Automated Heuristic Design in Large-Scale Routing Problems Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-30T16:16:27.229217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T16:16:27.229217Z digest=sha256:9d180e67a1fddf9db41350c7ee8c11ea3ed0c43c42c7aa251a00230b8ad39938

Observation a5eed7be-28b6-4a8a-b0d0-0c0186c48709 · inbound

AutoSND: From Execution Evidence to Structural Policies for Automated Network Dismantling Heuristic Discovery cites this paper.

AutoSND: From Execution Evidence to Structural Policies for Automated Network Dismantling Heuristic Discovery Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T15:18:34.146948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:18:34.146948Z digest=sha256:ec0d99e1a4ef343fc06d8eee0f5faa8dd7515e01ac7a6b8bcae51e2ff901ee68

Observation fb653341-e2b7-4fe4-9d8c-8923c167ebad · inbound

Hyper-ES: Effective Evolution Strategies for LLM Reasoning via Descent Direction Merging cites this paper.

Hyper-ES: Effective Evolution Strategies for LLM Reasoning via Descent Direction Merging Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-08T11:15:06.846550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:15:06.846550Z digest=sha256:99a5b9622faf07a7a6792e5fe086ff65ea0d3ee7e492fd7f23f6372e60fb6771