Paper Citation Record · LEDGER

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2502.05537.

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

pith.paper-citation-record.v1
2502.05537 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

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measured 59 of 59 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T04:53:10.425398Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T04:55:54.390079Z

Reference resolution

58 of 58 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c6c77021-e3ee-4112-b584-715da3499ddf · outbound

This paper cites Hindsight experience replay.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Hindsight experience replay

Reference 1

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Observation 80bc2e2b-6d14-497d-bdfc-a089e43c1f27 · outbound

This paper cites Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set

Reference 2

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Observation a3983750-a7ef-4efb-baee-21a3f9c5dd32 · outbound

This paper cites The option-critic architecture.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning The option-critic architecture

Reference 3

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Observation 1a98aa2a-c9a5-4ac4-81ab-4cc5cad97071 · outbound

This paper cites Neural Combinatorial Optimization with Reinforcement Learning.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Neural Combinatorial Optimization with Reinforcement Learning

Reference 4

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Observation 346bc664-227d-4ce3-a8de-a8a07546b3b2 · outbound

This paper cites Machine learning for combinatorial optimization: A methodological tour d’horizon.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Machine learning for combinatorial optimization: A methodological tour d’horizon

Reference 5

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Observation fc86a519-a3bf-44ae-8b0b-2c73b28e54d1 · outbound

This paper cites RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark

Reference 6

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Observation fb027c3d-feae-4b3b-9fa6-fc9845017877 · outbound

This paper cites Models and algorithms for combinatorial optimization problems arising in railway applications.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Models and algorithms for combinatorial optimization problems arising in railway applications

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:03:06.483727Z

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Observation ee40282e-4239-4fe5-9e56-a68597b703dc · outbound

This paper cites Applying gis and combinatorial optimization to fiber deployment plans.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Applying gis and combinatorial optimization to fiber deployment plans

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:03:06.468790Z

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Observation 521f4a51-8597-44ec-81a6-908180e21947 · outbound

This paper cites Improving optimization bounds using machine learning: Decision diagrams meet deep reinforcement learning.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Improving optimization bounds using machine learning: Decision diagrams meet deep reinforcement learning

Reference 9

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Observation 3954d364-95aa-4a94-964d-af507c0c7b21 · outbound

This paper cites Contingency-aware influence maximization: A reinforcement learning approach.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Contingency-aware influence maximization: A reinforcement learning approach

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:03:06.439691Z

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Observation 6be00938-74af-433d-9b9f-c98995bc0d09 · outbound

This paper cites Learning to perform local rewriting for combinatorial optimization.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Learning to perform local rewriting for combinatorial optimization

Reference 11

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Observation 405cfe16-e1c0-4ae7-a095-5ad040e51962 · outbound

This paper cites Discriminative embeddings of latent variable models for structured data.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Discriminative embeddings of latent variable models for structured data

Reference 12

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Observation 41e48dd5-391d-42c7-af87-dc38750570eb · outbound

This paper cites Feudal reinforcement learning.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Feudal reinforcement learning

Reference 13

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Observation 44c5ad8f-c132-4ef7-a2f7-b547bc87892f · outbound

This paper cites Learning heuristics for the tsp by policy gradient.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Learning heuristics for the tsp by policy gradient

Reference 14

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Observation 6fe79b74-02fa-480e-89a8-c4f60958210f · outbound

This paper cites Learning Permutations with Sinkhorn Policy Gradient.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Learning Permutations with Sinkhorn Policy Gradient

Reference 15

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Observation 74691e8f-3ad9-44be-a04c-ad897a778d18 · outbound

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

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Generalize a small pre-trained model to arbitrarily large tsp instances

Reference 16

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Observation aa9ad8b4-5f2d-45dc-88e7-2bfdba7dc047 · outbound

This paper cites Deep Sensitivity Analysis for Objective-Oriented Combinatorial Optimization.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Deep Sensitivity Analysis for Objective-Oriented Combinatorial Optimization

Reference 17

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Observation bbf9f8ec-f50d-4c7f-94d2-e164ca2ec384 · outbound

This paper cites node2vec: Scalable feature learning for networks.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning node2vec: Scalable feature learning for networks

Reference 18

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Observation 92a868bb-bc63-406c-80e1-5ec618317c80 · outbound

This paper cites Double q-learning.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Double q-learning

Reference 19

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Observation e64f3668-ab28-4724-a84d-f348a2ae5b93 · outbound

This paper cites Efficient active search for combinatorial optimization problems.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Efficient active search for combinatorial optimization problems

Reference 20

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Observation 40361bc2-72a8-449d-8805-1839b7c52e35 · outbound

This paper cites Convergence of stochastic iterative dynamic programming algorithms.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Convergence of stochastic iterative dynamic programming algorithms

Reference 21

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Observation 0a24db4d-80a0-4aab-965b-bac1f1209523 · outbound

This paper cites Deep reinforcement learning approach to solve dynamic vehi- cle routing problem with stochastic customers.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Deep reinforcement learning approach to solve dynamic vehi- cle routing problem with stochastic customers

Reference 22

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Observation 9a21f23e-ea64-4fd5-b9ad-2ed62956359d · outbound

This paper cites Maximizing the spread of influence through a social network.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Maximizing the spread of influence through a social network

Reference 23

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Observation 2785ac3a-62da-4da8-b57b-e8fa6f42d1f1 · outbound

This paper cites Learning combinatorial optimization algorithms over graphs.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Learning combinatorial optimization algorithms over graphs

Reference 24

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Observation a2bb0535-2d7a-4016-9f72-c87ce1aecf1d · outbound

This paper cites Semi-supervised classification with graph convolutional networks.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Semi-supervised classification with graph convolutional networks

Reference 25

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Observation 1b5389a6-f425-482d-9f06-05742a76a4ca · outbound

This paper cites Attention, learn to solve routing problems! In International Conference on Learning Representations, 2018.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Attention, learn to solve routing problems! In International Conference on Learning Representations, 2018

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:03:06.219988Z

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Observation 4d7c55bb-7df6-4aab-82dc-e25f51a54107 · outbound

This paper cites Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation

Reference 27

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Observation 2cef4d40-8a12-49c3-9d15-bc00610ca9e1 · outbound

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

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Pomo: Policy optimization with multiple optima for reinforcement learning

Reference 28

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Observation 80205747-990b-40b6-84b7-8ba9815b5e4e · outbound

This paper cites Mind dataset for diet planning and dietary healthcare with machine learning: dataset creation using combinatorial optimization and controllable generation with domain experts.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Mind dataset for diet planning and dietary healthcare with machine learning: dataset creation using combinatorial optimization and controllable generation with domain experts

Reference 29

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Observation a2ac4060-43e0-48b6-8bd0-2fb646b53ad6 · outbound

This paper cites Learning multi-level hierar- chies with hindsight.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Learning multi-level hierar- chies with hindsight

Reference 30

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Observation eec2e7cf-b65b-412b-a3d1-67f2ee418624 · outbound

This paper cites Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning

Reference 31

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Observation 53b0f20a-d133-472e-95af-d7c7763a832c · outbound

This paper cites Deep-learning-based wireless resource allocation with application to vehicular networks.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Deep-learning-based wireless resource allocation with application to vehicular networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:03:06.134149Z

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Observation bb161e73-031d-4ca3-97ce-e66c00828c30 · outbound

This paper cites Graph Foundation Models: Concepts, Opportunities and Challenges.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Graph Foundation Models: Concepts, Opportunities and Challenges

Reference 33

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Observation 30db095e-8246-41c7-bd14-7d30d5f6072c · outbound

This paper cites A learning-based iterative method for solving vehicle routing problems.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning A learning-based iterative method for solving vehicle routing problems

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:03:06.119961Z

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Observation 9a4472fc-995c-4090-96df-e06f811c33ba · outbound

This paper cites Reinforcement learning for combinatorial optimization: A survey.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Reinforcement learning for combinatorial optimization: A survey

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:03:06.105831Z

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Observation 967d589c-0932-4ad7-811d-7b08b4d7210d · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Playing Atari with Deep Reinforcement Learning

Reference 36

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Observation 207edfba-cd35-45a7-9863-a94c18bb49a8 · outbound

This paper cites Human-level control through deep reinforcement learning.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Human-level control through deep reinforcement learning

Reference 37

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This paper cites Data-efficient hierarchical reinforcement learning.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Data-efficient hierarchical reinforcement learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:03:06.081050Z

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This paper cites Reinforcement learning for solving the vehicle routing problem.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Reinforcement learning for solving the vehicle routing problem

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:03:06.065490Z

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Observation 246a2440-7e7b-43bc-af6b-ae762afb04a0 · outbound

This paper cites Solo: search online, learn offline for combinatorial optimization problems.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Solo: search online, learn offline for combinatorial optimization problems

Reference 40

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Observation 83b47402-5b46-4d48-ad9d-f6127206dc96 · outbound

This paper cites Active screening for recurrent diseases: A reinforcement learning approach.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Active screening for recurrent diseases: A reinforcement learning approach

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:03:06.033330Z

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Observation 8b6c6c81-7f71-49d5-af77-7c80f94e8b0f · outbound

This paper cites Adaptive influence maximization with myopic feedback.Advances in Neural Information Processing Systems, 32, 2019.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Adaptive influence maximization with myopic feedback.Advances in Neural Information Processing Systems, 32, 2019

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:03:06.017390Z

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Observation 828aafdf-ef8f-4fef-89bf-07e24994a913 · outbound

This paper cites Deepwalk: Online learning of social repre- sentations.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Deepwalk: Online learning of social repre- sentations

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:03:06.002672Z

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Observation 9a8c371d-4573-41fe-abc6-965b6d67feb0 · outbound

This paper cites Scarselli, M.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Scarselli, M

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:03:05.986934Z

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Observation 3b84c475-f100-4b82-aca3-724f22386111 · outbound

This paper cites Combinatorial optimization with physics-inspired graph neural networks.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Combinatorial optimization with physics-inspired graph neural networks

Reference 45

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Observation d58d75d6-008c-4983-9f35-cf0c142f8d09 · outbound

This paper cites Learning to predict by the methods of temporal differences.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Learning to predict by the methods of temporal differences

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:03:05.958959Z

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Observation 87d164f2-5c43-4c6c-854f-37a091e712aa · outbound

This paper cites Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:03:05.943619Z

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Observation f83cec7f-51d8-46ce-bb53-7d15a57cd815 · outbound

This paper cites Time-constrained adaptive influence maximization.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Time-constrained adaptive influence maximization

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:03:05.926788Z

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Observation 279574b4-c7a4-4f92-85b6-13b4b0a75da0 · outbound

This paper cites Graph attention networks.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Graph attention networks

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:03:05.908402Z

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Observation d64edccd-f62f-4dcc-be02-b3ef8e8cd0e6 · outbound

This paper cites Feudal networks for hierarchical reinforcement learning.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Feudal networks for hierarchical reinforcement learning

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:03:05.890658Z

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Observation 761b4a4b-41cc-4472-836b-2eae7c724760 · outbound

This paper cites Q-learning.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Q-learning

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:03:05.873513Z

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Observation 94f9e66f-b35b-41b9-8587-bfd7d718a5b7 · outbound

This paper cites On efficiency in hierarchical reinforcement learning.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning On efficiency in hierarchical reinforcement learning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:03:05.857250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dcb0eca0-bb02-48f1-8da4-797527bdb221 · outbound

This paper cites an unresolved cited work.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-08T19:03:05.838649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 49ba5402-4cf3-4dd3-8839-9d705c867b04 · outbound

This paper cites How Powerful are Graph Neural Networks?.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning How Powerful are Graph Neural Networks?

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-08T19:03:05.592590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23ad6750-cbdc-4758-b9ac-cac85fe42033 · outbound

This paper cites Accelerating Exact Combinatorial Optimization via RL-based Ini- tialization - A Case Study in Scheduling.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Accelerating Exact Combinatorial Optimization via RL-based Ini- tialization - A Case Study in Scheduling

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:03:05.821556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e364317d-dd16-435b-b6a0-fb87109b78ec · outbound

This paper cites Gnnexplainer: Generating explanations for graph neural networks.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Gnnexplainer: Generating explanations for graph neural networks

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:03:05.805142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d38485cb-03f0-466e-b2e2-d4abaa383722 · outbound

This paper cites Graph transformer networks.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Graph transformer networks

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:03:05.788657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b8b130ab-4d76-4cf8-bdee-1637f0c75ed7 · outbound

This paper cites Graph neural networks: A review of methods and applications.

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning Graph neural networks: A review of methods and applications

Reference 58

Resolution: malformed identifier; raw_fallback, observed 2026-08-08T19:03:05.773978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 2a5b9ce3-0b75-478c-b9e1-ec527baf48a4 · inbound

Demonstrating Real Advantage of Machine-Learning-Enhanced Monte Carlo for Combinatorial Optimization cites this paper.

Demonstrating Real Advantage of Machine-Learning-Enhanced Monte Carlo for Combinatorial Optimization Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:55:54.392627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.