Paper Citation Record · LEDGER

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution

As of 20 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2604.25567.

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

pith.paper-citation-record.v1
2604.25567 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-07T14:01:56.724017Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

26 of 26 outbound references displayed

verified exact4
verified fuzzy22
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b3acb5fe-6cb5-4ab1-829a-b76cb5d3b88b · outbound

This paper cites Coordinating Hundreds of Cooperative, Autonomous Vehicles in Warehouses.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution Coordinating Hundreds of Cooperative, Autonomous Vehicles in Warehouses

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:58:35.405711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fff26674-7065-4e8b-ac95-de059af2a122 · outbound

This paper cites Trajectory Planning for Quadrotor Swarms.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution Trajectory Planning for Quadrotor Swarms

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:58:35.432592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 98af2640-0dc2-41fd-bcbb-d0c7a78c34e2 · outbound

This paper cites Improved Conflict-Based Search for the Virtual Network Embedding Problem.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution Improved Conflict-Based Search for the Virtual Network Embedding Problem

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:58:35.436924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 88d76570-b169-477d-96a9-3bdcb140597b · outbound

This paper cites An Optimization Variant of Multi-Robot Path Planning Is Intractable.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution An Optimization Variant of Multi-Robot Path Planning Is Intractable

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:58:35.390364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 84adc760-0931-44e4-8b3f-c3ca9511fed3 · outbound

This paper cites Engineering LaCAM*: Towards Real-time, Large-scale, and Near-optimal Multi-agent Pathfinding.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution Engineering LaCAM*: Towards Real-time, Large-scale, and Near-optimal Multi-agent Pathfinding

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:58:35.410233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b010d2f0-e0e6-482e-b10c-ceff588f5b3c · outbound

This paper cites Multi-Agent Path Finding with Kinematic Con- straints.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution Multi-Agent Path Finding with Kinematic Con- straints

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:58:35.386175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 53a53ec6-96a4-4dbd-b5df-bfeb8e3cb29a · outbound

This paper cites Persistent and robust execution of mapf schedules in warehouses.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution Persistent and robust execution of mapf schedules in warehouses

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:58:35.396327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3c8e638e-18e5-4e3a-8e8d-8e350c715163 · outbound

This paper cites Receding Horizon Re-Ordering of Multi-Agent Execution Schedules.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution Receding Horizon Re-Ordering of Multi-Agent Execution Schedules

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:58:35.400541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d025af6b-4f6c-4452-b452-3a1bbcf42647 · outbound

This paper cites Bidirectional Temporal Plan Graph: Enabling Switchable Passing Orders for More Efficient Multi-Agent Path Finding Plan Execution.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution Bidirectional Temporal Plan Graph: Enabling Switchable Passing Orders for More Efficient Multi-Agent Path Finding Plan Execution

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:58:35.419150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cc67ca70-5f79-4a27-8fd8-d1d5b81cbd9d · outbound

This paper cites Introducing Delays in Multi Agent Path Finding.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution Introducing Delays in Multi Agent Path Finding

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:58:35.427118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f2349787-c8a5-4332-bb19-c0afd05cfc74 · outbound

This paper cites A Holistic Architecture for Monitoring and Optimization of Robust Multi-Agent Path Finding Plan Execution.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution A Holistic Architecture for Monitoring and Optimization of Robust Multi-Agent Path Finding Plan Execution

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:41:25.950282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4e4d4236-7d06-4448-a431-44f0d9be82b5 · outbound

This paper cites Multi-Agent Path Finding with Delay Probabilities.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution Multi-Agent Path Finding with Delay Probabilities

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:58:35.423206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 97b11323-47b8-4756-a6d5-737be0df8977 · outbound

This paper cites Locally-optimal multi-robot navigation under delaying disturbances using homotopy constraints.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution Locally-optimal multi-robot navigation under delaying disturbances using homotopy constraints

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:58:35.415131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 42af2773-5c56-48af-88fa-2d4f04f8d329 · outbound

This paper cites WinkTPG: An Execution Framework for Multi-Agent Path Finding Using Temporal Reasoning.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution WinkTPG: An Execution Framework for Multi-Agent Path Finding Using Temporal Reasoning

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-12T08:41:25.964088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e9e55147-efdf-497d-a65b-22e7600d28fe · outbound

This paper cites Solving Robust Execution of Multi-Agent Pathfinding Plans as a Scheduling Problem.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution Solving Robust Execution of Multi-Agent Pathfinding Plans as a Scheduling Problem

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:58:35.454515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3ec9ac77-37d5-4165-8633-77641177bbc3 · outbound

This paper cites A Real-Time Rescheduling Algorithm for Multi- robot Plan Execution.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution A Real-Time Rescheduling Algorithm for Multi- robot Plan Execution

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:58:35.467572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 626d1a0c-f5d1-4c69-813b-82d2a20f10fd · outbound

This paper cites No Panacea in Planning: Algorithm Selection for Suboptimal Multi-Agent Path Finding.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution No Panacea in Planning: Algorithm Selection for Suboptimal Multi-Agent Path Finding

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:41:25.954651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ba0978cf-18ce-4257-9e2f-76427ce16ee8 · outbound

This paper cites Anytime Multi-Agent Path Finding via Machine Learning-Guided Large Neighborhood Search.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution Anytime Multi-Agent Path Finding via Machine Learning-Guided Large Neighborhood Search

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:58:35.458848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b43f70b3-2400-4e3b-b37a-8087da1d7a2a · outbound

This paper cites LNS2+RL: Combining Multi-agent Reinforcement Learning with Large Neighborhood Search in Multi-agent Path Find- ing.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution LNS2+RL: Combining Multi-agent Reinforcement Learning with Large Neighborhood Search in Multi-agent Path Find- ing

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:58:35.449936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8124c229-90be-43b2-92b9-ec91627c53da · outbound

This paper cites PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Lifelong.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Lifelong

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:41:25.959346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9928218f-24e2-4438-a034-2db66418e359 · outbound

This paper cites RAILGUN: A Unified Convolutional Policy for Multi-Agent Path Finding Across Different Environments and Tasks (Extended Abstract).

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution RAILGUN: A Unified Convolutional Policy for Multi-Agent Path Finding Across Different Environments and Tasks (Extended Abstract)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:58:35.476619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 320b5f5b-b558-4ccd-8663-5fe11b946c9d · outbound

This paper cites Multi-agent pathfinding: Definitions, variants, and benchmarks.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution Multi-agent pathfinding: Definitions, variants, and benchmarks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:58:35.472062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f802ecbe-b1c1-4fc7-bdd6-dbb860a1d5cb · outbound

This paper cites Robust multi-agent path finding and executing.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution Robust multi-agent path finding and executing

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:58:35.480713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d1c34ab4-d7e2-4fe6-bc5b-60038fb8248e · outbound

This paper cites Scikit-learn: Machine learning in Python.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution Scikit-learn: Machine learning in Python

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:58:35.445211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1ff41687-85de-4006-b4f0-671b83071a64 · outbound

This paper cites TensorFlow: Large-scale machine learning on heterogeneous systems.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution TensorFlow: Large-scale machine learning on heterogeneous systems

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:58:35.441024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ec82fcc7-a583-4670-b6f6-4c11b26d0261 · outbound

This paper cites Suboptimal Variants of the Conflict-Based Search Algorithm for the Multi-Agent Pathfinding Problem.

Should I Replan? Learning to Spot the Right Time in Robust MAPF Execution Suboptimal Variants of the Conflict-Based Search Algorithm for the Multi-Agent Pathfinding Problem

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T04:58:35.463384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.