Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T05:39:57.573330Z
Paper Citation Record · LEDGER
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.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T05:39:57.573330Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
32 of 32 outbound references displayed
External citation measurements
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Observation 45e0cbbc-a985-4d64-b7d5-fc26952fea71 · outbound
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Implementingagpu-basedparallelmax–min ant system
Reference 20
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Observation 4b2d2b63-6732-4a52-ad1e-e1352342e057 · outbound
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
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
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
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
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
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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Observation 1d227f09-c897-4091-ac2f-3d288acee667 · outbound
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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Observation 6cc50da8-585a-4e27-9ff2-b166aea268e0 · outbound
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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Observation a857847c-8ff1-4bbe-a4e0-447c500c3e80 · outbound
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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Observation acf583b8-cc34-44ac-91ce-943c5bb62bee · outbound
Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Unresolved cited work
Reference 30
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Observation f4ed1a86-0918-4189-b0ea-9bd21497a629 · outbound
Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability Knowledge-Based Systems 277, 110797
Reference 2023
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Observation 0df27c0f-acb4-446b-bc99-d9e25ceea063 · outbound
Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability IEEE Int
Reference 2025
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No inbound Pith citation observations are available.