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Paper Citation Record · LEDGER

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability

As of 20 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.22166.

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pith.paper-citation-record.v1
2607.22166 v1

Coverage vector

measured 32 of 32 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-01T05:39:57.573330Z

measured 32 of 32 standing notices

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measured 0 of 0 inbound itemization

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32 of 32 outbound references displayed

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Outbound references

Observation 45e0cbbc-a985-4d64-b7d5-fc26952fea71 · outbound

This paper cites Enhancing the safety and smoothness of path planning through an integration of dijkstra’s algorithm and piecewise cubic bezier optimization.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Enhancing the safety and smoothness of path planning through an integration of dijkstra’s algorithm and piecewise cubic bezier optimization

Reference 1

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Observation 31a83503-9ac0-47b3-b633-8200d36ce3b1 · outbound

This paper cites Learning heuristic searchviaimitation,in:Proc.Conf.RobotLearn.(CoRL),PMLR.pp.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Learning heuristic searchviaimitation,in:Proc.Conf.RobotLearn.(CoRL),PMLR.pp

Reference 2

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Observation 7d2bbe5b-499a-4436-a3d3-fc21ad000f00 · outbound

This paper cites Ant colony optimization: Introduction and recent trends.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Ant colony optimization: Introduction and recent trends

Reference 3

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Observation e39d14a6-9b0c-4284-a377-eceac7c9eda9 · outbound

This paper cites Integrated task assign- ment and path planning for collision-minimizing multiple automated guided vehicles scheduling.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Integrated task assign- ment and path planning for collision-minimizing multiple automated guided vehicles scheduling

Reference 4

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Observation 7bce3564-fab6-47e8-8af3-b4ad75ce1c5d · outbound

This paper cites Multi- strategy adaptable ant colony optimization algorithm and its applica- tioninrobotpathplanning.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Multi- strategy adaptable ant colony optimization algorithm and its applica- tioninrobotpathplanning

Reference 5

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Observation 7a015362-46ec-40c4-8e59-77c9ae8aea02 · outbound

This paper cites Rrt*-enhanced long- horizon path planning for auv adaptive sampling using a cost valley.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Rrt*-enhanced long- horizon path planning for auv adaptive sampling using a cost valley

Reference 6

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Observation 4c372f53-8ed4-460c-bfeb-8950b384c48d · outbound

This paper cites Regarding jumppointsearchandsubgoalgraphs,in:Proc.Int.JointConf.Artif.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Regarding jumppointsearchandsubgoalgraphs,in:Proc.Int.JointConf.Artif

Reference 7

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Observation 73cbc80d-89d9-4f58-bf13-9271850d2aec · outbound

This paper cites Poster: Adaptive astar algorithm for calculation time reduction of autonomous vehicle’s pathfinding, in: 2024IEEEVehicularNetworkingConference(VNC),IEEE.pp.253– 254.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Poster: Adaptive astar algorithm for calculation time reduction of autonomous vehicle’s pathfinding, in: 2024IEEEVehicularNetworkingConference(VNC),IEEE.pp.253– 254

Reference 8

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Observation 7e99c6ce-abf2-476a-9e18-f49764f1ee1b · outbound

This paper cites Transpath: Learning heuristics for grid-based pathfinding via trans- formers, in: Proc.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Transpath: Learning heuristics for grid-based pathfinding via trans- formers, in: Proc

Reference 9

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Observation 2e3fdad6-fc35-47ca-b8b7-ece2a68f83fb · outbound

This paper cites Research on collaborative path planning of uav swarms for urban logisticsdistributionindensebuildingenvironments.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Research on collaborative path planning of uav swarms for urban logisticsdistributionindensebuildingenvironments

Reference 10

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Observation 9d8a41e5-6179-4185-9883-c30f52069b82 · outbound

This paper cites An efficient and accuratea-staralgorithmforautonomousvehiclepathplanning.IEEE Trans.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability An efficient and accuratea-staralgorithmforautonomousvehiclepathplanning.IEEE Trans

Reference 11

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Observation 19c2548f-f425-43ee-a870-cf867fe60179 · outbound

This paper cites Path planning techniques for mobile robots: Review and prospect.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Path planning techniques for mobile robots: Review and prospect

Reference 12

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Observation aa414ef0-bc41-42a5-b8eb-a1d3fde3e738 · outbound

This paper cites Learning- based neural ant colony optimization, in: Proc.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Learning- based neural ant colony optimization, in: Proc

Reference 13

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Observation 19e136fd-a22c-47ae-bce7-1d6f2a2dbfd3 · outbound

This paper cites Pheromone-focused ant colony optimization algorithm for path planning, in: 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Pheromone-focused ant colony optimization algorithm for path planning, in: 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE

Reference 14

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Observation b7b4f6bd-7521-4f92-a4bf-a84f94758458 · outbound

This paper cites Gpu-enabled decentralized,multi-robotpathplanningbasedonglobalevolutionary dynamicprogrammingandlocalparticleswarmoptimization.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Gpu-enabled decentralized,multi-robotpathplanningbasedonglobalevolutionary dynamicprogrammingandlocalparticleswarmoptimization

Reference 15

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Observation 2d253f0d-2da7-450b-b8fc-cba7c1b2574b · outbound

This paper cites an unresolved cited work.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Unresolved cited work

Reference 16

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Observation 824b7f7c-3489-4a09-a3c5-312e7dbdfd97 · outbound

This paper cites Path planning algorithms in the autonomous driving system: A comprehensive review.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Path planning algorithms in the autonomous driving system: A comprehensive review

Reference 17

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Observation d447291d-d290-454b-8d94-19cebaf941e3 · outbound

This paper cites Aco–pal: A prior-aware learning framework for local path planning in complex environments.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Aco–pal: A prior-aware learning framework for local path planning in complex environments

Reference 18

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Observation 9de577ef-9d69-496f-8062-a2921024886d · outbound

This paper cites Realistic scenario-based trajectory control, path planning, and collision avoidance for autonomous vehi- cles.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Realistic scenario-based trajectory control, path planning, and collision avoidance for autonomous vehi- cles

Reference 19

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Observation 7b78d74b-17a4-4cbc-8e59-bb7bd0656dfc · outbound

This paper cites Implementingagpu-basedparallelmax–min ant system.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Implementingagpu-basedparallelmax–min ant system

Reference 20

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This paper cites Simulation- based review of classical, heuristic, and metaheuristic path planning algorithms.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Simulation- based review of classical, heuristic, and metaheuristic path planning algorithms

Reference 21

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Observation 0b9aef47-0730-4148-bc06-5b2d2348f901 · outbound

This paper cites Adaptedantcolonyoptimizationforlarge-scaleorienteeringproblem, in: Proc.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Adaptedantcolonyoptimizationforlarge-scaleorienteeringproblem, in: Proc

Reference 22

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Observation cbb0122f-b459-4cce-92a2-efc6e4f54316 · outbound

This paper cites Modifiedadaptive antcolonyoptimizationalgorithmanditsapplicationforsolvingpath planning of mobile robot.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Modifiedadaptive antcolonyoptimizationalgorithmanditsapplicationforsolvingpath planning of mobile robot

Reference 23

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Observation 27a8d328-d54d-4b87-b01a-8c6d56b9110e · outbound

This paper cites Research on global path planning algorithm for mobile robots based on improved a*.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Research on global path planning algorithm for mobile robots based on improved a*

Reference 24

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Observation 61b29fc6-88bd-4adb-8b1b-32687d3cb411 · outbound

This paper cites Deepaco: Neural- enhanced ant systems for combinatorial optimization.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Deepaco: Neural- enhanced ant systems for combinatorial optimization

Reference 25

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Observation 9221cbc2-4df1-41f7-81c9-0071f725dc35 · outbound

This paper cites Path planning using neural a* search, in: Proc.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Path planning using neural a* search, in: Proc

Reference 26

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This paper cites An ant colony optimization algorithm with evolutionary experience-guided pheromone updating strategies for multi-objective optimization.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability An ant colony optimization algorithm with evolutionary experience-guided pheromone updating strategies for multi-objective optimization

Reference 27

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This paper cites An optimized q-learning algorithm for mobile robot local path planning.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability An optimized q-learning algorithm for mobile robot local path planning

Reference 28

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This paper cites Enhancing unmanned marine vehicle path plan- ning: A fractal-enhanced chaotic grey wolf and differential evolution approach.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Enhancing unmanned marine vehicle path plan- ning: A fractal-enhanced chaotic grey wolf and differential evolution approach

Reference 29

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Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Unresolved cited work

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Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Knowledge-Based Systems 277, 110797

Reference 2023

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This paper cites IEEE Int.

Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability IEEE Int

Reference 2025

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