Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-07T14:01:56.724017Z
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.
Coverage vector
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
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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.