Paper Citation Record · LEDGER

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges

As of 19 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 5 inbound Pith citation observations for arXiv:2506.15196.

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

pith.paper-citation-record.v1
2506.15196 v2

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:46:01.935444Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:58:34.995892Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:59:51.927035Z

Reference resolution

66 of 66 outbound references displayed

verified exact1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 66bcfe83-dcd6-4d74-b9c3-1698eb7d398e · outbound

This paper cites GPT-4 Technical Report.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges GPT-4 Technical Report

Reference 1

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Observation e9466b9f-9959-4ddf-a3b5-934891896666 · outbound

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

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Complexity and approximation: Combinatorial optimization problems and their approximability properties

Reference 2

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Observation 7cdf473a-1a4c-44c6-a23c-de3cc5980a8e · outbound

This paper cites Qwen Technical Report.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Qwen Technical Report

Reference 3

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Observation 66fe5428-2467-4dfe-a31d-780621da53e9 · outbound

This paper cites Or-library: distributing test problems by electronic mail.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Or-library: distributing test problems by electronic mail

Reference 4

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Observation a140d2c0-e057-4534-b1ad-eff0b3012cf4 · outbound

This paper cites Automated design of production scheduling heuristics: A review.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Automated design of production scheduling heuristics: A review

Reference 5

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Observation aeef613e-37b1-4814-8d3f-38c6e7fa4985 · outbound

This paper cites Le, Christopher Ré, and Azalia Mirhoseini.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Le, Christopher Ré, and Azalia Mirhoseini

Reference 6

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Observation 54ad3f5c-290b-4e57-ba0e-06b48bdeaf6e · outbound

This paper cites Rank-two relaxation heuristics for max-cut and other binary quadratic programs.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Rank-two relaxation heuristics for max-cut and other binary quadratic programs

Reference 7

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Observation 795fff9f-6e9a-4d47-ab87-847326b8164b · outbound

This paper cites Hyper- heuristics: An emerging direction in modern search technology.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Hyper- heuristics: An emerging direction in modern search technology

Reference 8

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Observation 9605055b-f313-4640-8815-76b7b7c3dd34 · outbound

This paper cites Hyper-heuristics: A survey of the state of the art.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Hyper-heuristics: A survey of the state of the art

Reference 9

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This paper cites A survey of hyper-heuristics.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges A survey of hyper-heuristics

Reference 10

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Observation a33c2814-4f1e-41ac-b301-ec64c85e4350 · outbound

This paper cites Case-based heuristic selection for timetabling problems.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Case-based heuristic selection for timetabling problems

Reference 11

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Observation d9aad092-ff94-40cd-96f9-4e2d7e3e46e2 · outbound

This paper cites Are more llm calls all you need? towards scaling laws of compound inference systems, 2024.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Are more llm calls all you need? towards scaling laws of compound inference systems, 2024

Reference 12

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Observation 33b7f73a-48fb-49b5-a00c-3565460d8c8a · outbound

This paper cites Improving exploration in evolution strategies for deep reinforcement learning via a population of novelty- seeking agents.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Improving exploration in evolution strategies for deep reinforcement learning via a population of novelty- seeking agents

Reference 13

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Observation 5204c72d-5731-4474-aaa1-570557c5b17a · outbound

This paper cites Combinatorial optimization.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Combinatorial optimization

Reference 14

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Observation 9b313f46-6a9e-486a-94e0-e6bd918a2a1e · outbound

This paper cites Optsicom project.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Optsicom project

Reference 15

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Observation b1bca461-d938-4675-9e04-12dfeaef2343 · outbound

This paper cites Comparative analysis of selection hyper-heuristics for real-world multi-objective optimization problems.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Comparative analysis of selection hyper-heuristics for real-world multi-objective optimization problems

Reference 16

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Observation 0a0e6d66-2409-44cd-99ef-c5b01b3f398b · outbound

This paper cites Hyper-heuristics based on reinforcement learning, balanced heuristic selection and group decision acceptance.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Hyper-heuristics based on reinforcement learning, balanced heuristic selection and group decision acceptance

Reference 17

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Observation 7bc1df0c-3727-490c-a8fe-5d6b05b7b8e4 · outbound

This paper cites Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025

Reference 18

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This paper cites Ant colony optimization.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Ant colony optimization

Reference 19

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Observation 48f14451-4243-40a3-97d5-4106b157aaba · outbound

This paper cites Recent advances in selection hyper- heuristics.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Recent advances in selection hyper- heuristics

Reference 20

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Observation 88524a68-40e6-4983-a04e-ab41cf2153d3 · outbound

This paper cites Particle swarm optimization.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Particle swarm optimization

Reference 21

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This paper cites Randomized heuristics for the max-cut problem.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Randomized heuristics for the max-cut problem

Reference 22

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Observation 4f5f5619-5b53-44ba-a6bc-594721a57c2d · outbound

This paper cites Spatially adaptive computation time for residual networks.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Spatially adaptive computation time for residual networks

Reference 23

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This paper cites Heuristic decision making.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Heuristic decision making

Reference 24

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Observation 2a2bbffb-6cb9-46fa-bff0-ee4e36239528 · outbound

This paper cites Or-tools.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Or-tools

Reference 25

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Observation 3711de6e-5be4-4e36-af65-1790362b5b66 · outbound

This paper cites Adaptive Computation Time for Recurrent Neural Networks.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Adaptive Computation Time for Recurrent Neural Networks

Reference 26

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This paper cites A differential evolution based feature combination selection algorithm for high-dimensional data.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges A differential evolution based feature combination selection algorithm for high-dimensional data

Reference 27

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Observation d58d3a2e-2edc-40db-b186-c64d2dd85c8c · outbound

This paper cites Generalize learned heuristics to solve large-scale vehicle routing problems in real-time.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Generalize learned heuristics to solve large-scale vehicle routing problems in real-time

Reference 28

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Observation bc2120a7-aca6-4a47-9042-cbc0dba1c71a · outbound

This paper cites Intelligent Computing Methodologies , volume 13395.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Intelligent Computing Methodologies , volume 13395

Reference 29

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Observation 60e3ad4f-05e2-4b77-8cf1-f3f6e02fc108 · outbound

This paper cites Self-Guiding Exploration for Combinatorial Problems.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Self-Guiding Exploration for Combinatorial Problems

Reference 30

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This paper cites Taso: optimizing deep learning computation with automatic generation of graph substitutions.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Taso: optimizing deep learning computation with automatic generation of graph substitutions

Reference 31

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Observation b6110cf3-44c3-4107-b1e6-02ec827cecd4 · outbound

This paper cites Process reward models that think.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Process reward models that think

Reference 32

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This paper cites Appliance classification by power signal analysis based on multi-feature combination multi-layer lstm.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Appliance classification by power signal analysis based on multi-feature combination multi-layer lstm

Reference 33

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

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Pomo: Policy optimization with multiple optima for reinforcement learning

Reference 34

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HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges A novel quantum inspired cuckoo search for knapsack problems

Reference 35

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

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Evolution of heuristics: Towards efficient automatic algorithm design using large language model

Reference 36

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Observation 89f0f3be-ef45-4824-b6db-13cc98924de9 · outbound

This paper cites Advanced scatter search for the max-cut problem.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Advanced scatter search for the max-cut problem

Reference 37

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Observation 8c44747d-dcd3-4322-acca-56e26f45e9d2 · outbound

This paper cites Grey wolf optimizer.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Grey wolf optimizer

Reference 38

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This paper cites Solving maximum cut problems by simulated annealing.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Solving maximum cut problems by simulated annealing

Reference 39

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Source-reported events for the cited work

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HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Integer programming and combinatorial optimization

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:02.477644Z

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Observation c6999fb7-c126-42b6-b7d4-b2fac67d01bd · outbound

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HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Unresolved cited work

Reference 41

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This paper cites Combinatorial optimization: algorithms and complexity.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Combinatorial optimization: algorithms and complexity

Reference 42

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This paper cites Combinatorial optimization problems and metaheuristics: Review, challenges, design, and development.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Combinatorial optimization problems and metaheuristics: Review, challenges, design, and development

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:02.442773Z

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Observation db2a6b8a-575f-433b-9e58-35e32fc47753 · outbound

This paper cites Model-driven decision support systems: Concepts and research directions.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Model-driven decision support systems: Concepts and research directions

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:02.428324Z

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Observation 7259d659-3ea4-47a6-ae45-3e2286987f36 · outbound

This paper cites Cvrplib, 2025 Accessed.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Cvrplib, 2025 Accessed

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:02.412333Z

Source-reported events for the cited work

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Observation d795f7f8-3ea2-4fa0-a9e9-8d2eabfaa096 · outbound

This paper cites Tsplib—a traveling salesman problem library.ORSA journal on computing, 3(4):376–384, 1991.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Tsplib—a traveling salesman problem library.ORSA journal on computing, 3(4):376–384, 1991

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:02.398349Z

Source-reported events for the cited work

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Observation 49d96c68-d04d-4e87-8f03-0225e879fc99 · outbound

This paper cites Mathematical discoveries from program search with large language models.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Mathematical discoveries from program search with large language models

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:02.383145Z

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Observation f7584850-b603-4baf-8d1f-7122c400a487 · outbound

This paper cites Energy management in industry–a systematic review of previous findings and an integrative conceptual framework.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Energy management in industry–a systematic review of previous findings and an integrative conceptual framework

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:02.369334Z

Source-reported events for the cited work

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Observation c0e8a001-a00a-41fe-a50f-3e6b5a531cbb · outbound

This paper cites Spurious re- wards: Rethinking training signals in rlvr.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Spurious re- wards: Rethinking training signals in rlvr

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:02.355802Z

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Observation 63910d87-14d8-4083-b415-7701b8303c56 · outbound

This paper cites an unresolved cited work.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Unresolved cited work

Reference 50

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This paper cites A study of ant-based pheromone spaces for generation constructive hyper-heuristics.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges A study of ant-based pheromone spaces for generation constructive hyper-heuristics

Reference 51

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HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges A selection hyper-heuristic with online learning for control of genetic algorithm ensemble

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:02.319659Z

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Observation f84ce2d4-5878-4164-8704-8d629c805843 · outbound

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

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Monte carlo tree search: A review of recent modifications and applications

Reference 53

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This paper cites Gemini: A Family of Highly Capable Multimodal Models.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Gemini: A Family of Highly Capable Multimodal Models

Reference 54

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This paper cites Branchynet: Fast inference via early exiting from deep neural networks.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Branchynet: Fast inference via early exiting from deep neural networks

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:01.888670Z

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This paper cites van Hoorn.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges van Hoorn

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:02.288760Z

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Observation 031ad6d4-1d99-4a9d-882a-5236415a1588 · outbound

This paper cites Guided local search.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Guided local search

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:01.896692Z

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This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 58

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This paper cites Chain-of-thought prompting elicits reasoning in large language models.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Chain-of-thought prompting elicits reasoning in large language models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:01.904932Z

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This paper cites Learning with noisy labels revisited: A study using real-world human annotations, 2022.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Learning with noisy labels revisited: A study using real-world human annotations, 2022

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:02.258252Z

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Observation f6d44063-4510-4cf3-9ddf-554fa2b7316d · outbound

This paper cites Learning improvement heuristics for solving routing problems.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Learning improvement heuristics for solving routing problems

Reference 61

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This paper cites Chain-of-experts: When llms meet complex operations research problems.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Chain-of-experts: When llms meet complex operations research problems

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:46:02.236864Z

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Observation acf2fd53-fbd4-47fd-8f61-7bd1db1695b1 · outbound

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

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:01.921963Z

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This paper cites Can LLM Graph Reasoning Generalize beyond Pattern Memorization?.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Can LLM Graph Reasoning Generalize beyond Pattern Memorization?

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T19:46:01.926445Z

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This paper cites Fine-Tuning Language Models from Human Preferences.

HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges Fine-Tuning Language Models from Human Preferences

Reference 65

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HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges –” (rendered in red) were removed, while lines prefixed with “+

Reference 66

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Pith citing papers

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Agentic MIP Research: Accelerated Constraint Handler Generation cites this paper.

Agentic MIP Research: Accelerated Constraint Handler Generation HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges

Reference 19

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

Large Language Models for Operations Research: A Comprehensive Survey HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges

Reference 124

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Observation 1d4b51d8-043c-4c0b-96f5-c9dfa9934226 · inbound

Reinforcement Learning without Ground-Truth Solutions can Improve LLMs cites this paper.

Reinforcement Learning without Ground-Truth Solutions can Improve LLMs HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:59:51.928373Z

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Observation 04d41dc0-3c39-47b1-be74-97c226c0c6a0 · inbound

Vehicle Routing Problem Meets Large Language Models: An Overview and Perspectives cites this paper.

Vehicle Routing Problem Meets Large Language Models: An Overview and Perspectives HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges

Reference 59

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Observation ed80e201-27da-44de-949d-3e3872e8b77b · inbound

TopoFE: topology-aware LLM-guided Automated Feature Engineering cites this paper.

TopoFE: topology-aware LLM-guided Automated Feature Engineering HeurAgenix: Leveraging LLMs for Solving Complex Combinatorial Optimization Challenges

Reference 81

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