Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Work Smarter Not Harder: Simple Imitation Learning with CS-PIBT Outperforms Large Scale Imitation Learning for MAPF
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.14491.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:35:36.993267Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T07:42:30.478167Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 8e55d298-f30b-4ede-a024-82d5164b1738 · inbound
Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-Tuning cites this paper.
Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-Tuning Work Smarter Not Harder: Simple Imitation Learning with CS-PIBT Outperforms Large Scale Imitation Learning for MAPF
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:35:36.993267Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec0a858d-e229-4149-aee2-180c7637471e · inbound
MARL-GPT: Foundation Model for Multi-Agent Reinforcement Learning cites this paper.
MARL-GPT: Foundation Model for Multi-Agent Reinforcement Learning Work Smarter Not Harder: Simple Imitation Learning with CS-PIBT Outperforms Large Scale Imitation Learning for MAPF
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:30:51.933567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 8a9aedd1-df82-40e7-99e5-9b65427a2538 · inbound
Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding cites this paper.
Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding Work Smarter Not Harder: Simple Imitation Learning with CS-PIBT Outperforms Large Scale Imitation Learning for MAPF
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:45:56.283888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation b4fcd1ff-a6ee-458c-a5d0-9346a021ec64 · inbound
Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding cites this paper.
Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding Work Smarter Not Harder: Simple Imitation Learning with CS-PIBT Outperforms Large Scale Imitation Learning for MAPF
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T07:42:30.482265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.