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Paper Citation Record · LEDGER

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3

As of 17 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2608.04905.

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

pith.paper-citation-record.v1
2608.04905 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:57:14.418219Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

63 of 63 outbound references displayed

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  • verified fuzzy36
  • unresolved22
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2794695a-5919-49fa-855d-8ae4dbda38a8 · outbound

This paper cites Lifelong multi-agent path finding in large-scale warehouses,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Lifelong multi-agent path finding in large-scale warehouses,

Reference 1

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Observation 3207dd2c-10f6-45a6-864a-34be7cea267d · outbound

This paper cites Mobile robot path planning in dynamic environments through globally guided reinforcement learning,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Mobile robot path planning in dynamic environments through globally guided reinforcement learning,

Reference 2

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Observation 1ffb4508-8b7e-4457-a13c-8b81f8d30da7 · outbound

This paper cites P3gasus: Pre-planned path execution graphs for multi-agent systems at ultra-large scale,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 P3gasus: Pre-planned path execution graphs for multi-agent systems at ultra-large scale,

Reference 3

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6ac94be5-2e00-4255-84d9-992785145baa · outbound

This paper cites Intersection coordination with priority-based search for autonomous vehicles,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Intersection coordination with priority-based search for autonomous vehicles,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0387555a-daa7-4c74-a081-4db4e0d7ed92 · outbound

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

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Multi-agent pathfinding: Defi- nitions, variants, and benchmarks,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ccafcaf6-d316-4728-8e7e-18b0b86c0afe · outbound

This paper cites Feasibility study: Moving non-homogeneous teams in congested video game environ- ments,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Feasibility study: Moving non-homogeneous teams in congested video game environ- ments,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6f23b5d6-749a-43e9-a1b7-3e93a333b955 · outbound

This paper cites M*: A complete multirobot path planning algorithm with performance bounds,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 M*: A complete multirobot path planning algorithm with performance bounds,

Reference 7

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7b1b56cd-4f5d-4e48-9c2b-dbca90d0817c · outbound

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

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Conflict-based search for optimal multi-agent pathfinding,

Reference 8

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source=pdf_text observed=2026-08-06T13:57:14.135912Z digest=sha256:52e0486a73f5f02398477a3eecca350861778cce4e2d64efbd8df0e7e0ff568e

Observation 4baaa516-e614-452e-9a77-d35929606440 · outbound

This paper cites Subdimensional expansion for multirobot path planning,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Subdimensional expansion for multirobot path planning,

Reference 9

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source=pdf_text observed=2026-08-06T13:57:14.139395Z digest=sha256:306e57e38896e69511d8e3891950756fdea30a74c9ab19c03949525fce410976

Observation 5360a529-598d-4cff-b2ff-75c5f0dff8cc · outbound

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

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Suboptimal variants of the conflict-based search algorithm for the multi-agent pathfinding problem,

Reference 10

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Observation 9d2ab368-a2bb-453d-9830-4ac14a434dd3 · outbound

This paper cites Eecbs: A bounded-suboptimal search for multi-agent path finding,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Eecbs: A bounded-suboptimal search for multi-agent path finding,

Reference 11

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Observation f40db3ce-b0f0-408d-9f09-1debd5161e75 · outbound

This paper cites Anytime multi-agent path finding via large neighborhood search,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Anytime multi-agent path finding via large neighborhood search,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5384906a-88c8-400a-b25e-d5b57da02a2e · outbound

This paper cites Mapf-lns2: Fast repairing for multi-agent path finding via large neighborhood search,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Mapf-lns2: Fast repairing for multi-agent path finding via large neighborhood search,

Reference 13

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b30034e3-83ac-4bf4-9004-09e0f7673c6b · outbound

This paper cites Lacam: Search-based algorithm for quick multi-agent pathfinding,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Lacam: Search-based algorithm for quick multi-agent pathfinding,

Reference 14

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Observation d724bea3-2b0c-4cab-897a-a0c8864c8cce · outbound

This paper cites Engineering LaCAM$^\ast$: Towards Real-Time, Large-Scale, and Near-Optimal Multi-Agent Pathfinding.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Engineering LaCAM$^\ast$: Towards Real-Time, Large-Scale, and Near-Optimal Multi-Agent Pathfinding

Reference 15

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source=pdf_text observed=2026-08-06T13:57:14.159318Z digest=sha256:4d3a115aca3cc99453dfd7f0bb949466ebad9c996bcf6d7a94d946ac23509d5c

Observation e13ee002-af90-4e16-ab72-af2663b15e21 · outbound

This paper cites Primal: Pathfinding via reinforcement and imitation multi- agent learning,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Primal: Pathfinding via reinforcement and imitation multi- agent learning,

Reference 16

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Observation 1c0f1e01-7198-4090-b2f9-8d2464119599 · outbound

This paper cites Mapper: Multi-agent path planning with evolutionary reinforcement learning in mixed dynamic environments,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Mapper: Multi-agent path planning with evolutionary reinforcement learning in mixed dynamic environments,

Reference 17

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Observation da890533-a32e-4251-b3e0-e301b86f1ceb · outbound

This paper cites Graph neural networks for decentralized multi-robot path planning,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Graph neural networks for decentralized multi-robot path planning,

Reference 18

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d97d89c6-fb26-46ac-8235-4e390304ad64 · outbound

This paper cites Message-aware graph attention networks for large-scale multi-robot path planning,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Message-aware graph attention networks for large-scale multi-robot path planning,

Reference 19

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Observation 7194f781-19b7-434b-8312-a659b42805be · outbound

This paper cites Pairwise is Not Enough: Hypergraph Neural Networks for Multi-Agent Pathfinding.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Pairwise is Not Enough: Hypergraph Neural Networks for Multi-Agent Pathfinding

Reference 20

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Observation 98e142fd-49da-4777-829e-4cbed79aa449 · outbound

This paper cites Alpha: Attention- based long-horizon pathfinding in highly-structured areas,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Alpha: Attention- based long-horizon pathfinding in highly-structured areas,

Reference 21

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Observation 216b598c-32b6-4dcf-9a5d-6119dd15d42b · outbound

This paper cites Mapf-gpt: Imitation learning for multi-agent pathfinding at scale,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Mapf-gpt: Imitation learning for multi-agent pathfinding at scale,

Reference 22

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0e1fad91-835a-49ca-b7f3-854e6d81177d · outbound

This paper cites Advancing learnable multi-agent pathfinding solvers with active fine-tuning,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Advancing learnable multi-agent pathfinding solvers with active fine-tuning,

Reference 23

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Observation aabce4ac-766c-4ca5-9ad0-188e62ba9cb4 · outbound

This paper cites Social behavior as a key to learning-based multi-agent pathfinding dilemmas,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Social behavior as a key to learning-based multi-agent pathfinding dilemmas,

Reference 24

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 20c3abae-3894-46d3-a2b0-d884d54cb3eb · outbound

This paper cites Improving learnt local mapf policies with heuristic search,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Improving learnt local mapf policies with heuristic search,

Reference 25

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a5ad388f-3d2f-47db-925f-5fa1111b1dd7 · outbound

This paper cites Deploying ten thousand robots: Scalable imitation learning for lifelong multi-agent path finding,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Deploying ten thousand robots: Scalable imitation learning for lifelong multi-agent path finding,

Reference 26

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Observation 888f4eaf-8902-4531-a879-1c6918f568d4 · outbound

This paper cites A review of graph-based multi-agent pathfinding solvers: From classical to beyond classical,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 A review of graph-based multi-agent pathfinding solvers: From classical to beyond classical,

Reference 27

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source=pdf_text observed=2026-08-06T13:57:14.196372Z digest=sha256:3b75a02e833c1231732ad5537b88ebac1bd0e0de47fca8f3bb513be3cff4399b

Observation 13e4c2f4-0e29-444e-b273-7eb9d5cb87f5 · outbound

This paper cites Icbs: The improved conflict-based search algorithm for multi-agent pathfinding,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Icbs: The improved conflict-based search algorithm for multi-agent pathfinding,

Reference 28

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Observation 6d0d10c3-3f72-4c3d-9d0e-efb628e1961f · outbound

This paper cites Adding heuristics to conflict-based search for multi-agent path finding,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Adding heuristics to conflict-based search for multi-agent path finding,

Reference 29

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 03bdaa02-2c8a-47ba-8992-3b80b224add8 · outbound

This paper cites Improved heuristics for multi-agent path finding with conflict-based search.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Improved heuristics for multi-agent path finding with conflict-based search

Reference 30

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T13:57:14.205743Z digest=sha256:66fe3e212cdd9d425e275ba6fa4e9873ed3b99fb2bede485927a2f60df5e87fd

Observation c8062fee-4dfe-488b-9b48-75b087500b4d · outbound

This paper cites Symmetry- breaking constraints for grid-based multi-agent path finding,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Symmetry- breaking constraints for grid-based multi-agent path finding,

Reference 31

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T13:57:14.209028Z digest=sha256:3fde7f36ce3e5b55d62ae947b01a0382e029f1247f2e24bbee97fef6f05622d2

Observation 32f4d0fe-4071-426e-b7ba-35031d448b7a · outbound

This paper cites New techniques for pairwise symmetry breaking in multi-agent path finding,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 New techniques for pairwise symmetry breaking in multi-agent path finding,

Reference 32

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d843d1e9-cbf5-4a25-8473-30a866ecb295 · outbound

This paper cites Multi-agent path finding with mutex propagation,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Multi-agent path finding with mutex propagation,

Reference 33

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raw_fallback, observed 2026-08-06T13:57:14.983948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T13:57:14.215393Z digest=sha256:5297ade439bbbdb91c077f1151d576fbed6de34a1c2f1b7df8a52ba100335567

Observation 5663ac0c-cd75-4636-b16e-5f18dbc1b09d · outbound

This paper cites Pairwise symmetry reasoning for multi-agent path finding search,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Pairwise symmetry reasoning for multi-agent path finding search,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:57:14.973920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T13:57:14.218341Z digest=sha256:28d4eafedfb8de5c9682b67e3706a2c0e76bb2a42669fb26a24bebb1091adff1

Observation 27974ca6-26f9-4c17-b6a6-81c36c8d5ac2 · outbound

This paper cites Dis- joint splitting for multi-agent path finding with conflict-based search,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Dis- joint splitting for multi-agent path finding with conflict-based search,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:57:14.963706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T13:57:14.221575Z digest=sha256:079a89b993247bd93988ced01ee738b2127200314e21618b653fba599cd01571

Observation 5293ed49-9b86-43cc-8c0b-b966a55da970 · outbound

This paper cites Adaptive-Horizon Conflict-Based Search for Closed-Loop Multi-Agent Path Finding.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Adaptive-Horizon Conflict-Based Search for Closed-Loop Multi-Agent Path Finding

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T13:57:14.224655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:57:14.224655Z digest=sha256:5d0dcab9ab86cb7032fdace727e52c07cd84cb0a757a8f974e3c87dac2cefb4b

Observation 2e51f6c0-688d-4b90-ad97-c0f1f881eb12 · outbound

This paper cites Cooperative pathfinding,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Cooperative pathfinding,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T13:57:14.228095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:57:14.228095Z digest=sha256:76eb38f716d3f68263b0def2ac81a5f326e86ce41ec8fd1fe9831cc7269213b6

Observation b46a6d0d-967b-42d4-917f-ff840d10fc6a · outbound

This paper cites Priority inheri- tance with backtracking for iterative multi-agent path finding,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Priority inheri- tance with backtracking for iterative multi-agent path finding,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T13:57:14.231472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:57:14.231472Z digest=sha256:edb2a20899157678ad619ffbe82d9cc2c014365134f7bd1187c0f978d900400f

Observation 0c14d4e9-0718-4f56-aafe-62dd77397f3a · outbound

This paper cites Fico: Finite- horizon closed-loop factorization for unified multi-agent path finding,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Fico: Finite- horizon closed-loop factorization for unified multi-agent path finding,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T13:57:14.235757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:57:14.235757Z digest=sha256:8d28e5df9197a30097b4c192d646032bc309fe0848b9b2597d2f8f8822f1f613

Observation 5d2bf6f3-9f32-43f4-ae4d-0cb509b7d60d · outbound

This paper cites Multi-Agent Path Finding via Finite-Horizon Hierarchical Factorization.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Multi-Agent Path Finding via Finite-Horizon Hierarchical Factorization

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:57:14.691752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T13:57:14.239072Z digest=sha256:dc1d2030f92ba656ae153a57d9fdcf6fef4f9ef92bfb3e28b7129a2726e88250

Observation 63ca8aa5-372e-4d68-8e27-185645daf5f5 · outbound

This paper cites Distributed heuristic multi-agent path finding with communication,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Distributed heuristic multi-agent path finding with communication,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:57:14.940287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T13:57:14.242451Z digest=sha256:21f289bce41bc6e04068c031fec8d83bcb4f246db08efb233565018363c2db4c

Observation 4930dfc3-52fb-4e7f-9622-dd5b3a65a2cd · outbound

This paper cites Multi-agent path finding with prioritized communication learning,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Multi-agent path finding with prioritized communication learning,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:57:14.929731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T13:57:14.246217Z digest=sha256:19f7a8c37687eb5cbea074bd772fd2f3601da259e733af410af82792038022a7

Observation 62a8f4c0-d2e5-4f77-b454-e392ca3fce1d · outbound

This paper cites Scrimp: Scalable communication for reinforcement-and imitation-learning-based multi- agent pathfinding,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Scrimp: Scalable communication for reinforcement-and imitation-learning-based multi- agent pathfinding,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:57:14.918915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T13:57:14.249792Z digest=sha256:a68a4fb239cfd0e019030046f41a9c636557e97ecead138b627c7d1118b0fcf5

Observation 3a2ac17c-0578-4a4f-a363-a8f0aec58a97 · outbound

This paper cites Learning selective communication for multi- agent path finding,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Learning selective communication for multi- agent path finding,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:57:14.908113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T13:57:14.253533Z digest=sha256:cae8bfe1f4e33bdef77426094fa5fa738211b76f4a3bb0aa99bad7ebbae9ca63

Observation 80d20d87-a8e1-4674-a784-1ab0aac7e2b4 · outbound

This paper cites Sigma: Sheaf-informed geometric multi-agent pathfinding,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Sigma: Sheaf-informed geometric multi-agent pathfinding,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:57:14.897676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T13:57:14.256604Z digest=sha256:bede92408026a46879f3eb8d2e19a1d8fcefe5f8177f94383deebed83be4e701

Observation e41de5b4-985d-4ed7-a442-3a5b3f2a1739 · outbound

This paper cites Subdimensional Expansion Using Attention-Based Learning For Multi-Agent Path Finding.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Subdimensional Expansion Using Attention-Based Learning For Multi-Agent Path Finding

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:57:14.676748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T13:57:14.259903Z digest=sha256:fa7097a8416018fb9b671034122669ed2db2401ed2091f6b3040688239fc3c9d

Observation 6c6e3050-d03c-4ec2-a9c7-dfac06b865da · outbound

This paper cites Adapting to planning failures in lifelong multi-agent path finding,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Adapting to planning failures in lifelong multi-agent path finding,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:57:14.887622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T13:57:14.263235Z digest=sha256:f947674f63cc1263b7b81cf5a24e7611f93ce175ee50f8ac4a5322e6e6053ef4

Observation 264d3f93-259e-49c9-9c53-70d7271527ac · outbound

This paper cites Work smarter not harder: Simple imitation learning with cs-pibt outperforms large-scale imitation learning for mapf,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Work smarter not harder: Simple imitation learning with cs-pibt outperforms large-scale imitation learning for mapf,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:57:14.877410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T13:57:14.266402Z digest=sha256:623def6cf719c24e2c91a011d7a65c8f3379a16626e43af9ef001bb41a9f31d3

Observation 49a5bce7-5ffa-4cbf-82e1-37d54fd0c2e3 · outbound

This paper cites Lifelong path planning with kinematic constraints for multi-agent pickup and de- livery,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Lifelong path planning with kinematic constraints for multi-agent pickup and de- livery,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T13:57:14.269732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:57:14.269732Z digest=sha256:84c1135a7e75facfe96515aefd44042d441e7f5a6dbebd747b46c8584722e0c1

Observation 81544b8b-762c-4e66-9916-31f59ba6c9a1 · outbound

This paper cites Learn to Follow: Decentralized Lifelong Multi-agent Pathfinding via Planning and Learning.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Learn to Follow: Decentralized Lifelong Multi-agent Pathfinding via Planning and Learning

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:57:14.662805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T13:57:14.273079Z digest=sha256:9d7e5d7988126c16b6df9fe33e9794a84e882c3da5ad40c633701fe7d214b400

Observation 360ba3d4-8cd3-4865-87aa-f39351dd6766 · outbound

This paper cites Primal 2: Pathfind- ing via reinforcement and imitation multi-agent learning-lifelong,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Primal 2: Pathfind- ing via reinforcement and imitation multi-agent learning-lifelong,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:57:14.859744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T13:57:14.276847Z digest=sha256:d3437797689cb3aa2802454effc9332bb5b3e83da301ec6b95870739d7816f25

Observation 1605fd02-87c8-4e5e-8b51-7a943d68113f · outbound

This paper cites Socialmapf: Optimal and efficient multi-agent path finding with strategic agents for social navigation,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Socialmapf: Optimal and efficient multi-agent path finding with strategic agents for social navigation,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:57:14.848125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T13:57:14.279721Z digest=sha256:1ba18c9624f9e8928531fc1af816cde41737334c9919d4f526219571895b6d2f

Observation 532e56f9-6f3c-4310-bdba-2a4975c49c8b · outbound

This paper cites Online guidance graph optimization for lifelong multi-agent path finding,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Online guidance graph optimization for lifelong multi-agent path finding,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:57:14.838250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T13:57:14.282851Z digest=sha256:f7908f135a9a514195f90a070a34180376d46c8ac088b439e75cb0c0f81d7b0b

Observation c6e0f0af-64b1-43ce-b4c6-5ad9cb3a9e50 · outbound

This paper cites Learning-guided prioritized planning for lifelong multi-agent path finding in warehouse automation,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Learning-guided prioritized planning for lifelong multi-agent path finding in warehouse automation,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:57:14.827861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T13:57:14.285631Z digest=sha256:99dc51714b6088e76b257d8e1d7304ffea639c25dd273926320cb899842a22f5

Observation 7350a4a3-ca39-418d-b515-4cdfcc6aca33 · outbound

This paper cites Optimiza- tion of edge directions and weights for mixed guidance graphs in lifelong multi-agent path finding,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Optimiza- tion of edge directions and weights for mixed guidance graphs in lifelong multi-agent path finding,

Reference 55

Resolution
verified exact
raw_fallback, observed 2026-08-06T13:57:14.647772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T13:57:14.288596Z digest=sha256:53e9848f84710d4158907bfd7979d1d291d37357b7b3c236157b3da08765c20f

Observation 4fa64232-bc88-4cf1-8c6d-33e016bb7fa3 · outbound

This paper cites Multi-Robot Motion Planning with Diffusion Models.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Multi-Robot Motion Planning with Diffusion Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T13:57:14.291542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:57:14.291542Z digest=sha256:54f0f45f58e3162295e31bd376e28ed31961d266776c2442b387b39491838cfe

Observation 39cfc7f4-8408-43c6-9e3e-c542928a8102 · outbound

This paper cites Collaborative multi-robot non-prehensile manipulation via flow- matching co-generation,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Collaborative multi-robot non-prehensile manipulation via flow- matching co-generation,

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T13:57:14.294693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:57:14.294693Z digest=sha256:6cf7b9b31e463b3e103156a2971aea5bc6be8d4a49b0d3bf301bea9abb3fb321

Observation 6c5db2dc-8552-4ded-8908-72143ba8ff35 · outbound

This paper cites Flow-Based Task Assignment for Large-Scale Online Multi-Agent Pickup and Delivery.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Flow-Based Task Assignment for Large-Scale Online Multi-Agent Pickup and Delivery

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:57:14.485727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T13:57:14.297570Z digest=sha256:fc67db1f48ba707a3592ed5da856450ce10b2bdd74b67d1a5c35f6f12b67f399

Observation d2ae2e9c-ebae-4790-8417-9b2f14109000 · outbound

This paper cites Lifelong Multi-Agent Path Finding for Online Pickup and Delivery Tasks.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Lifelong Multi-Agent Path Finding for Online Pickup and Delivery Tasks

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T13:57:14.404343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:57:14.404343Z digest=sha256:4737ad59ff0af02e0a2a1a65685bca657d6bffe8cc5433df203d5f36d5842a68

Observation ff0ee219-f246-4fd2-96e6-43f59bc4de57 · outbound

This paper cites Relational inductive biases, deep learning, and graph networks.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Relational inductive biases, deep learning, and graph networks

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T13:57:14.408355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:57:14.408355Z digest=sha256:084fb1609d08089c722b8d5b404367638df79f3b198807e6bb79dba8dd92cc06

Observation 94d6538d-7655-4fab-be7f-69c88e9f5dd5 · outbound

This paper cites NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T13:57:14.411745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:57:14.411745Z digest=sha256:fcd367e6beaec170a890218499d72724f123a7c7d12dff9a19c3dfa783d7ba46

Observation 4c658f43-6f7f-4f68-b81a-984a8acea287 · outbound

This paper cites Theory and applications of hazard plotting for censored failure data,.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Theory and applications of hazard plotting for censored failure data,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:57:14.818108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T13:57:14.415263Z digest=sha256:c4769eeb6fd286c4ac8d98292fe3dee943fe2d05dd39218c97e525c18795cdf1

Observation 9a7b5a19-d97f-4e25-add5-5a23ace435b2 · outbound

This paper cites an unresolved cited work.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-06T13:57:14.808150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T13:57:14.418219Z digest=sha256:8444ff722f16cb4464f01c6da5b7460c5dad5a5335f08b7c3fe88f8a9c9594ad

Pith citing papers

No inbound Pith citation observations are available.