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Paper Citation Record · LEDGER

Work Smarter Not Harder: Simple Imitation Learning with CS-PIBT Outperforms Large Scale Imitation Learning for MAPF

As of 10 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.

pith.paper-citation-record.v1
2409.14491 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:35:36.993267Z

measured 0 of 1 external citation measurements

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.

source=pdf_text observed=2026-08-06T21:35:36.993267Z digest=sha256:ee94fd62d9125e51155244db1894a3ce3a4619ea65b43b80a17690179fd2abbf

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T19:47:26.815228Z digest=sha256:71258e33d1b2b352151ca330e1a894877fd0434139b2346c29b5cb89fb620629

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-11T02:21:23.325806Z digest=sha256:40eefd7ba5fd9a210d4137c8258c90533076592db8262240f3ac1595973dc021

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-13T07:41:12.038619Z digest=sha256:d955a63a172922f57cb4331b65739066411bef0b1bfb201332e7b01e0800c28c