Paper Citation Record · LEDGER

Experience-based Subproblem Planning for Multi-Robot Motion Planning

As of 22 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2411.08851.

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

pith.paper-citation-record.v1
2411.08851 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:22:57.276089Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

19 of 19 outbound references displayed

verified exact0
verified fuzzy16
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c9a42a1-0cf0-4e15-879d-0cf301056737 · outbound

This paper cites Adaptive robot coordination: A subproblem-based approach for hybrid multi-robot motion planning,.

Experience-based Subproblem Planning for Multi-Robot Motion Planning Adaptive robot coordination: A subproblem-based approach for hybrid multi-robot motion planning,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T21:22:57.200069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ecca1ba-258a-44a6-8f03-17e15fa1629c · outbound

This paper cites A robot path planning framework that learns from experience,.

Experience-based Subproblem Planning for Multi-Robot Motion Planning A robot path planning framework that learns from experience,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:22:57.529597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 144396f7-4740-4905-93dd-1be7ffdbaa1a · outbound

This paper cites Experience-based planning with sparse roadmap spanners,.

Experience-based Subproblem Planning for Multi-Robot Motion Planning Experience-based planning with sparse roadmap spanners,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:22:57.516709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9a0bf6d2-228d-4e5f-bec8-8af943f1e2bf · outbound

This paper cites Ddm: Fast near-optimal multi-robot path planning using diversified-path and optimal sub-problem solution database heuris- tics,.

Experience-based Subproblem Planning for Multi-Robot Motion Planning Ddm: Fast near-optimal multi-robot path planning using diversified-path and optimal sub-problem solution database heuris- tics,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:22:57.503310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 51ab6071-a0f9-4103-b975-9c1f7f2ad7f2 · outbound

This paper cites Efficient heuristics for multi-robot path planning in crowded environments,.

Experience-based Subproblem Planning for Multi-Robot Motion Planning Efficient heuristics for multi-robot path planning in crowded environments,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:22:57.489823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d36aff2c-ed0f-4361-9f5f-e03e9a3d63e6 · outbound

This paper cites Experience-based multi-agent path finding with narrow corridors,.

Experience-based Subproblem Planning for Multi-Robot Motion Planning Experience-based multi-agent path finding with narrow corridors,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:22:57.476685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f3f18728-5c43-40b2-aefa-3649a239b13d · outbound

This paper cites an unresolved cited work.

Experience-based Subproblem Planning for Multi-Robot Motion Planning Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T21:22:57.228054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0638d6c-1048-40dd-9b9a-dc9a6512ae04 · outbound

This paper cites Complexity of the mover’s problem and generalizations,.

Experience-based Subproblem Planning for Multi-Robot Motion Planning Complexity of the mover’s problem and generalizations,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:22:57.455072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4ce9b2d5-e28a-4815-84f3-be013fff9c7e · outbound

This paper cites Prob- abilistic roadmaps for path planning in high-dimensional configuration spaces,.

Experience-based Subproblem Planning for Multi-Robot Motion Planning Prob- abilistic roadmaps for path planning in high-dimensional configuration spaces,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:22:57.440670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b1ae3326-3323-49bb-bceb-ee5c8ab5bf84 · outbound

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

Experience-based Subproblem Planning for Multi-Robot Motion Planning Rapidly-exploring random trees: A new tool for path planning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:22:57.426911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 102553b5-bffd-4659-96f2-f6829536068a · outbound

This paper cites Cooperative multi-robot path planning by heuris- tic priority adjustment,.

Experience-based Subproblem Planning for Multi-Robot Motion Planning Cooperative multi-robot path planning by heuris- tic priority adjustment,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:22:57.414773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 06688b72-6943-42ba-990b-64dc05ac853c · outbound

This paper cites Prioritized motion planning for multiple robots,.

Experience-based Subproblem Planning for Multi-Robot Motion Planning Prioritized motion planning for multiple robots,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:22:57.402252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cc0f0291-297a-4663-abaa-f553f448f31e · outbound

This paper cites Pareto-optimal coordination of multiple robots with safety guarantees,.

Experience-based Subproblem Planning for Multi-Robot Motion Planning Pareto-optimal coordination of multiple robots with safety guarantees,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:22:57.388677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 691d57da-bf75-488b-b968-34aea71c46e8 · outbound

This paper cites Subdimensional expansion for multirobot path planning,.

Experience-based Subproblem Planning for Multi-Robot Motion Planning Subdimensional expansion for multirobot path planning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:22:57.375562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fd74271f-af94-46a5-b38d-b596d0dcc81c · outbound

This paper cites Conflict- based search for optimal multi-agent pathfinding,.

Experience-based Subproblem Planning for Multi-Robot Motion Planning Conflict- based search for optimal multi-agent pathfinding,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T21:22:57.260885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2db1b73a-c5ab-4318-9a71-f6326f4a243b · outbound

This paper cites Representation- optimal multi-robot motion planning using conflict-based search,.

Experience-based Subproblem Planning for Multi-Robot Motion Planning Representation- optimal multi-robot motion planning using conflict-based search,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:22:57.352977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 783e5745-1d88-4b95-8b7b-69386d9c365f · outbound

This paper cites RRT-connect: An efficient approach to single-query path planning,.

Experience-based Subproblem Planning for Multi-Robot Motion Planning RRT-connect: An efficient approach to single-query path planning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:22:57.339328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation db147a41-68f7-4aac-be85-c3c6e337a11e · outbound

This paper cites Conflict-based search for optimal multi-agent path finding,.

Experience-based Subproblem Planning for Multi-Robot Motion Planning Conflict-based search for optimal multi-agent path finding,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:22:57.324393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ff21ae1c-426e-40a3-a3c9-014fb40a2f9a · outbound

This paper cites Suboptimal variants of the conflict-based search algorithm for the multi-agent pathfinding problem,.

Experience-based Subproblem Planning for Multi-Robot Motion Planning Suboptimal variants of the conflict-based search algorithm for the multi-agent pathfinding problem,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:22:57.310741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.