Paper Citation Record · LEDGER

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization

As of 19 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2502.05526.

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

pith.paper-citation-record.v1
2502.05526 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:02:30.615889Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

30 of 30 outbound references displayed

verified exact8
verified fuzzy15
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c10cf96-c374-4311-b79c-ac62249971a1 · outbound

This paper cites A Review of Mo- tion Planning Techniques for Automated Vehicles,.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization A Review of Mo- tion Planning Techniques for Automated Vehicles,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:02:31.135794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c5a69dd6-7fd8-4aec-bb86-8b1ad57fa306 · outbound

This paper cites A Survey of Deep Learning Techniques for Autonomous Driving.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization A Survey of Deep Learning Techniques for Autonomous Driving

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-08T19:02:30.911299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8950a4f-5e4f-4896-b625-9fa70b9176d7 · outbound

This paper cites A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles,.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:02:31.120614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d9cccdca-f8dd-472c-86f5-6c4788a3026e · outbound

This paper cites Athletic Mobile Manipulator System for Robotic Wheelchair Tennis.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Athletic Mobile Manipulator System for Robotic Wheelchair Tennis

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-08T19:02:30.890109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f2f13b06-3431-42f2-bc3e-51cc48e2c5bf · outbound

This paper cites The RoboCup synthetic agent challenge 97,.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization The RoboCup synthetic agent challenge 97,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:02:31.105336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d6465ea7-4d52-4d78-a386-8bf94fcf1cb0 · outbound

This paper cites Sampling-based Algorithms for Optimal Motion Planning.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Sampling-based Algorithms for Optimal Motion Planning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T19:02:30.503821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbb5a14f-374f-443d-ac96-9a3b7eb9a785 · outbound

This paper cites Path Planning with Modified a Star Algorithm for a Mobile Robot,.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Path Planning with Modified a Star Algorithm for a Mobile Robot,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:02:31.091262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f84e7f83-5646-4b25-b7c3-93e912ef0b30 · outbound

This paper cites Rapidly-exploring random trees : a new tool for path planning.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Rapidly-exploring random trees : a new tool for path planning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:02:31.061119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d02daba9-f68f-46a4-9568-130d9dba52f3 · outbound

This paper cites Incremental Sampling-based Algorithms for Optimal Motion Planning.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Incremental Sampling-based Algorithms for Optimal Motion Planning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T19:02:30.523269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 289cbd21-a8bb-4117-91a3-c51609a75af5 · outbound

This paper cites Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives,.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:02:31.046531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 95cff8ad-5af7-4a83-99e9-570c3999be06 · outbound

This paper cites Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T19:02:30.532686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f37b2c4-cf28-4ac8-88dd-f9383ae24fcc · outbound

This paper cites Neural RRT*: Learning-Based Optimal Path Planning,.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Neural RRT*: Learning-Based Optimal Path Planning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:02:31.031380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f7d1408d-2c30-42e8-b6fd-8c70f8ae22fa · outbound

This paper cites Path Planning using Neural A* Search.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Path Planning using Neural A* Search

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T19:02:30.542700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22ee8b1d-b92f-4217-946a-b3b9d8c391ea · outbound

This paper cites Reinforcement Learning with A* and a Deep Heuristic.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Reinforcement Learning with A* and a Deep Heuristic

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-08T19:02:30.805003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d0396b27-378b-48c4-9afc-8ac2855a58ce · outbound

This paper cites Path Planning via an Improved DQN-Based Learning Policy,.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Path Planning via an Improved DQN-Based Learning Policy,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:02:31.017086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9aff236f-991a-4ad7-949a-514f44f8c32d · outbound

This paper cites Learning Sampling Distributions for Robot Motion Planning,.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Learning Sampling Distributions for Robot Motion Planning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:02:31.002243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 58abdfdf-7e49-4498-b1e3-21a45a647c91 · outbound

This paper cites Graph Neural Networks for Motion Planning.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Graph Neural Networks for Motion Planning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T19:02:30.561714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ae6dc4a-c5e8-48eb-8d60-b9f84798b27d · outbound

This paper cites Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks,.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:02:30.987085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 88e5546b-2bfd-4d14-b7a9-fa82ec7b6b66 · outbound

This paper cites Graph Neural Networks for Decentralized Multi-Robot Path Planning,.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Graph Neural Networks for Decentralized Multi-Robot Path Planning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:02:30.971608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 36fb6d9f-69f3-437b-a1f0-3981babc5c44 · outbound

This paper cites MAPPER: Multi-Agent Path Planning with Evolutionary Reinforce- ment Learning in Mixed Dynamic Environments,.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization MAPPER: Multi-Agent Path Planning with Evolutionary Reinforce- ment Learning in Mixed Dynamic Environments,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:02:30.956552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7d6baed5-4d48-4fb7-8f87-6dfd86b0b3f1 · outbound

This paper cites Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-08T19:02:30.768573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0cf48b4c-aad7-4ce8-ae64-1b55cdcc3e34 · outbound

This paper cites GRSTAPS: Graphically Recursive Simultaneous Task Allocation, Planning, and Scheduling,.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization GRSTAPS: Graphically Recursive Simultaneous Task Allocation, Planning, and Scheduling,

Reference 22

Resolution: verified exact; doi, observed 2026-08-08T19:02:30.673444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bdb8e2b7-50aa-4e68-88cb-a4ef82ea2765 · outbound

This paper cites Deep Reinforcement Learning in Parameterized Action Space.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Deep Reinforcement Learning in Parameterized Action Space

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T19:02:30.588787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fc7873f-2c96-416a-b3a2-8b866d77bd06 · outbound

This paper cites Policy gradient methods,.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Policy gradient methods,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:02:30.941687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d591c8ac-721c-47b7-98e5-742ab0901956 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Adam: A Method for Stochastic Optimization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T19:02:30.597601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd05078c-9e04-4f45-bb22-5891c7ea5887 · outbound

This paper cites Human-Robot Teaming: Grand Challenges,.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Human-Robot Teaming: Grand Challenges,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:02:30.926731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 02976188-2fff-46a5-a3a4-3fce333cb099 · outbound

This paper cites Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule Propagation.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule Propagation

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-08T19:02:30.715573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 11e14584-2eb4-40b2-aaca-ed0728a7d76c · outbound

This paper cites Heterogeneous graph attention networks for scalable multi-robot scheduling with temporospatial constraints,.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Heterogeneous graph attention networks for scalable multi-robot scheduling with temporospatial constraints,

Reference 28

Resolution: verified exact; doi, observed 2026-08-08T19:02:30.656785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation df1c6141-b6ea-49d0-9599-e340f426c15e · outbound

This paper cites Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-08T19:02:30.694005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 98f61ea6-069e-4abd-ae84-357108952a30 · outbound

This paper cites Available: https://linkinghub.elsevier.com/retrieve/pii/ S187770581403149X.

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization Available: https://linkinghub.elsevier.com/retrieve/pii/ S187770581403149X

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:02:31.076113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.