Paper Citation Record · LEDGER

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics

As of 10 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2502.02060.

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

pith.paper-citation-record.v1
2502.02060 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:35:05.298663Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:37:10.984263Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:37:11.767490Z

Reference resolution

23 of 23 outbound references displayed

verified exact0
verified fuzzy16
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fe7c99d0-b7cd-468d-bddf-d2795f730f04 · outbound

This paper cites Third imo ghg study 2014.

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics Third imo ghg study 2014

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:35:05.537077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0cfdcce9-c5f2-4ea6-8b03-6e87c124b76b · outbound

This paper cites Reducing greenhouse gas emissions from ships.

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics Reducing greenhouse gas emissions from ships

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:35:05.526377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c9d49cea-e7f6-494b-8384-35ed0adfd243 · outbound

This paper cites Initial imo strategy on reduction of ghg emissions from ships, 2018.

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics Initial imo strategy on reduction of ghg emissions from ships, 2018

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:35:05.515410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9df3cee5-0af7-4578-ae75-5a6e7c5259b1 · outbound

This paper cites A Review of Cooperative Multi-Agent Deep Reinforcement Learning.

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics A Review of Cooperative Multi-Agent Deep Reinforcement Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T13:35:05.226971Z

Source-reported events for the cited work

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Observation 12c372ca-7d3a-478a-96a2-20f9a7a2e40e · outbound

This paper cites Learning to communicate with deep multi-agent reinforcement learning.

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics Learning to communicate with deep multi-agent reinforcement learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:35:05.505247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 799c5fe9-7922-46d2-9289-ccabb676759b · outbound

This paper cites Cooperative multi-agent learning: The state of the art.

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics Cooperative multi-agent learning: The state of the art

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:35:05.495663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation de03d05c-4e98-4434-b958-de4531278108 · outbound

This paper cites Learning with opponent-learning awareness.

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics Learning with opponent-learning awareness

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:35:05.484892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f3bdcda4-7f35-4836-84af-0d35d7c69306 · outbound

This paper cites Multi-agent actor-critic for mixed cooperative-competitive environments.

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics Multi-agent actor-critic for mixed cooperative-competitive environments

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:35:05.474377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 42f2bac0-71e6-4c31-847b-d3c222489a9a · outbound

This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T13:35:05.249257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d257809-5eef-4306-99b0-5a4f999a4fd6 · outbound

This paper cites Optimal and approximate q-value functions for decentralized pomdps.

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics Optimal and approximate q-value functions for decentralized pomdps

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:35:05.464408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 739b3408-0a18-4be2-86c6-c66c2a4c3a3c · outbound

This paper cites Cooperative multi-agent control using deep reinforcement learning.

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics Cooperative multi-agent control using deep reinforcement learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:35:05.455008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6a13ffbf-4ef5-4f42-82bb-4505fa88ea9d · outbound

This paper cites Deep Recurrent Q-Learning for Partially Observable MDPs.

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics Deep Recurrent Q-Learning for Partially Observable MDPs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T13:35:05.260940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38aab464-d00d-4598-bcbb-044fb11c73db · outbound

This paper cites Learning multiagent communication with backpropagation.

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics Learning multiagent communication with backpropagation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:35:05.445578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 52a9748d-de8a-41f0-94bc-5704f8ecb444 · outbound

This paper cites Multi-agent reinforcement learning: A selective overview of theories and algorithms.

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics Multi-agent reinforcement learning: A selective overview of theories and algorithms

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T13:35:05.268404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d479a2d-6418-4b0b-a995-223270db8e4b · outbound

This paper cites Autonomous agents modelling other agents: A comprehensive survey and open problems.

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics Autonomous agents modelling other agents: A comprehensive survey and open problems

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:35:05.428242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 55fbf2b6-b9b4-4876-b08d-3c48abfac25e · outbound

This paper cites Multi-agent reinforcement learning for markov routing games: A new modeling paradigm for dynamic traffic assignment.

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics Multi-agent reinforcement learning for markov routing games: A new modeling paradigm for dynamic traffic assignment

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:35:05.415652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8fd6ee0a-bcc8-4ab4-babe-c89bc1982c30 · outbound

This paper cites Constrained markov decision processes.

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics Constrained markov decision processes

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:35:05.403965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c4e3d7dd-f209-463d-ae0c-1b047542219a · outbound

This paper cites Constrained policy optimization.

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics Constrained policy optimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T13:35:05.282099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation debcc453-b6e5-43ef-8fa7-9648677ddaee · outbound

This paper cites The bargaining problem.

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics The bargaining problem

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:35:05.387783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b363d55a-2b61-4d8f-b4cd-ff2b219de95a · outbound

This paper cites Approximately fair allocations of indivisible goods.

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics Approximately fair allocations of indivisible goods

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:35:05.375310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 58f6053b-92e5-45bd-b534-f6fa92c9ed6a · outbound

This paper cites Cooperation and fairness in multi-agent reinforcement learning.

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics Cooperation and fairness in multi-agent reinforcement learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:35:05.364735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 50527953-a7fb-45e4-8dd4-f8aebcd22fb8 · outbound

This paper cites A Theory of Justice.

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics A Theory of Justice

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T13:35:05.295699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68d4383f-881c-43f9-9bfa-3196ab37e5b2 · outbound

This paper cites Proximal Policy Optimization Algorithms.

CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics Proximal Policy Optimization Algorithms

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T13:35:05.298663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b83def27-7114-408e-8823-662509c6511a · inbound

Multi-Year Maintenance Planning for Large-Scale Infrastructure Systems: A Novel Network Deep Q-Learning Approach cites this paper.

Multi-Year Maintenance Planning for Large-Scale Infrastructure Systems: A Novel Network Deep Q-Learning Approach CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:37:11.811870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.