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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 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 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

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

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:11:56.637641Z

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

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

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

Resolution
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=sha256:6bdbd2683dcedb2780dce4a476b20b4cf98152dab77845745a1ff478c1ce35a5

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

Resolution
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=sha256:384da1716c1ac04a887dab169e1eebbba30f7784fec3f1d8c3d39ec0b39c949d

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

Resolution
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=sha256:1d6f89fb8ade9db7461a938ca4aa90ad4054d9d27938d627a60e918e33a19376

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

Resolution
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=sha256:51c33aa03e4b33603c450d917a9f8d6168481d64b4d6d27d34175f7f6a24f071

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

Resolution
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:b1cf5a7ee06039b62226adc99fb016c14c037974521ddbdb7c6a35e0c8ab7431

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

Resolution
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=sha256:9a83b9593ec4abbc8f1234b30bed4b59a77c1c3a4f93da41bad9fc1b331c0c0a

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

Resolution
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:a61813fc3269d5e869a5e0a2c6a6f7566e98e7e005d8755de27e9924f8de90dc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T03:28:59.276079Z digest=sha256:0d03f8e5fcc02540a832422208abe1a9a974fdc8494a625f7ee8f7f2e30dda41

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

Resolution
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:d6665b0ba106bba3d3c9a32a0621d8e7fc6a8582554c634f46281956572c92be

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T16:47:38.834354Z digest=sha256:f182dc1f68cf6e0c36331f03b5bc04e56a6a4ead5840e52ae9727bf8ac7dfc12

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T01:49:50.520222Z digest=sha256:dd348fbe44b067de7101d3885b64b62bf5b69be3a3e7b09405487735aaa6bfd5

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T01:14:39.643357Z digest=sha256:e4e67d623f6f6747877a1c4c17b10f5b7e5eb0bd19bbfb610f5714870f37090d

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T03:46:09.715264Z digest=sha256:add077bcd1fd320ab48acb6516812227dcd45982c8563dde3c3122f10a5bc408

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T10:07:01.820644Z digest=sha256:b44cf6ce5157e7eb9a3eb97af15023b013d4357269f73f92c7a06822861e4255

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T05:01:48.486590Z digest=sha256:a4c956de7fb55c90a7f0284940a5cd11f0a96534d3168db9ac22af77a620f7e8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T10:53:36.354925Z digest=sha256:e1720ac4c143e93fd7f39e36c916b24d32118f8cc2f2efd24cff220621a159ff

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-29T16:55:21.649886Z digest=sha256:443a4297c90c3b07040dcbc01710b6a12d2b2f4c2d1f0fe9b651c755594441d2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T01:31:06.792515Z digest=sha256:885673315d67300a87ef76c69bf39602ba6495c80bb46c7fa5b0a3f1db44c96a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T05:12:43.536126Z digest=sha256:d40da5c507d405372355842091293bb6e1319424a82d380ae3b76863d22e9a6e

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

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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:cbc9f2c5b25dbb5657d0bbdb339c2832473bc969b87ffbf70a903fe7820737f4

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

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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:a3dfdef593983b24414d9978d6dc8928fa60cdc07d440d62bdde5cf246993844