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Paper Citation Record · LEDGER

Reinforcement Learning for Heterogeneous Sensor Selection in Maritime Surveillance

As of 7 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2607.22667.

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

pith.paper-citation-record.v1
2607.22667 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:56:15.694447Z

measured 16 of 16 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

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External citation measurements

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Outbound references

Observation 69d189cd-2e9f-49f4-a0a0-2abbe1a5c325 · outbound

This paper cites Vessel identification and monitoring systems for maritime security,.

Reinforcement Learning for Heterogeneous Sensor Selection in Maritime Surveillance Vessel identification and monitoring systems for maritime security,

Reference 1

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Observation fcb99f3f-c09e-489c-8a12-ff6b50827d54 · outbound

This paper cites Sea-surface object detection based on electro-optical sensors: A review,.

Reinforcement Learning for Heterogeneous Sensor Selection in Maritime Surveillance Sea-surface object detection based on electro-optical sensors: A review,

Reference 2

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Observation 6804d5fb-3764-48d6-9d4f-340d6d09fac7 · outbound

This paper cites A tutorial on particle filters for online nonlinear/non-Gaussian bayesian tracking,.

Reinforcement Learning for Heterogeneous Sensor Selection in Maritime Surveillance A tutorial on particle filters for online nonlinear/non-Gaussian bayesian tracking,

Reference 3

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Observation 88fdfbc5-9289-49cc-9f84-b52c3ebb4a34 · outbound

This paper cites Agile target tracking based on greedy information gain,.

Reinforcement Learning for Heterogeneous Sensor Selection in Maritime Surveillance Agile target tracking based on greedy information gain,

Reference 4

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source=pdf_text observed=2026-08-02T08:56:14.568506Z digest=sha256:d87d2f254c4fc02725007951f18938e39b3e7530088bc71625e7bc5272853a49

Observation 61249ce8-c476-48e9-94dd-4c3e09d377f2 · outbound

This paper cites Adaptive Entropy-Driven Sensor Selection in a Camera-LiDAR Particle Filter for Single-Vessel Tracking.

Reinforcement Learning for Heterogeneous Sensor Selection in Maritime Surveillance Adaptive Entropy-Driven Sensor Selection in a Camera-LiDAR Particle Filter for Single-Vessel Tracking

Reference 5

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Observation 179e50de-c113-46fd-948d-2402df2868b5 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Reinforcement Learning for Heterogeneous Sensor Selection in Maritime Surveillance Proximal Policy Optimization Algorithms

Reference 6

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Observation 636828d5-7671-4d49-bd2c-3c3c1fa88541 · outbound

This paper cites Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations.

Reinforcement Learning for Heterogeneous Sensor Selection in Maritime Surveillance Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations

Reference 7

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Observation 09e0390e-3248-433d-a22b-698b8dcc8492 · outbound

This paper cites Differentiable particle filters: End-to-end learning with algorithmic priors,.

Reinforcement Learning for Heterogeneous Sensor Selection in Maritime Surveillance Differentiable particle filters: End-to-end learning with algorithmic priors,

Reference 8

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source=pdf_text observed=2026-08-02T08:56:14.860114Z digest=sha256:c1d72630eb3de92c4f70ca22f5ada845699031b80993c1dbe6b542166f8e6dbc

Observation 979899d8-4927-4bd3-8d0d-b941fe2328ba · outbound

This paper cites Information particle filter tree: An on- line algorithm for POMDPs with belief-based rewards on continuous domains,.

Reinforcement Learning for Heterogeneous Sensor Selection in Maritime Surveillance Information particle filter tree: An on- line algorithm for POMDPs with belief-based rewards on continuous domains,

Reference 9

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source=pdf_text observed=2026-08-02T08:56:15.020053Z digest=sha256:758a75b1f25dfcbd7bb23a1b50e10eaaf2012a2ba8cb5b332142ab60b30e2761

Observation ec05755a-3b7c-491b-b049-68937044dc0a · outbound

This paper cites A novel sensor scheduling algorithm based on deep reinforcement learning for bearing-only target tracking in UWSNs,.

Reinforcement Learning for Heterogeneous Sensor Selection in Maritime Surveillance A novel sensor scheduling algorithm based on deep reinforcement learning for bearing-only target tracking in UWSNs,

Reference 10

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Observation 6277d0b5-5259-4b7f-a5d5-c3b52980eafe · outbound

This paper cites Sensor path planning using reinforcement learning,.

Reinforcement Learning for Heterogeneous Sensor Selection in Maritime Surveillance Sensor path planning using reinforcement learning,

Reference 11

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Observation aad12447-b7bf-43f4-9e69-506f881979df · outbound

This paper cites An improved Q- Learning-Based sensor-scheduling algorithm for multi-target tracking,.

Reinforcement Learning for Heterogeneous Sensor Selection in Maritime Surveillance An improved Q- Learning-Based sensor-scheduling algorithm for multi-target tracking,

Reference 12

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Observation 14ca5bb1-d41d-4511-80e5-94d613aefae3 · outbound

This paper cites Learning to track dynamic targets in partially known environments,.

Reinforcement Learning for Heterogeneous Sensor Selection in Maritime Surveillance Learning to track dynamic targets in partially known environments,

Reference 13

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Observation db917dab-3bf4-4db6-9f95-57b66d3b2576 · outbound

This paper cites Policy learning for active target tracking over continuousse(3)trajectories,.

Reinforcement Learning for Heterogeneous Sensor Selection in Maritime Surveillance Policy learning for active target tracking over continuousse(3)trajectories,

Reference 14

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Observation 055fee07-af04-4486-b646-8664e525c791 · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning implementa- tions,.

Reinforcement Learning for Heterogeneous Sensor Selection in Maritime Surveillance Stable-baselines3: Reliable reinforcement learning implementa- tions,

Reference 15

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source=pdf_text observed=2026-08-02T08:56:15.625261Z digest=sha256:c27858af30da8684379a2fbeca26b7c97a4fe34480602bda05a36bc8fc5643fe

Observation 01c090df-5361-485a-8948-a065c00cab53 · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

Reinforcement Learning for Heterogeneous Sensor Selection in Maritime Surveillance High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 16

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Pith citing papers

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