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Paper Citation Record · LEDGER

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding

As of 19 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2508.17971.

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

pith.paper-citation-record.v1
2508.17971 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:00:25.413094Z

measured 27 of 27 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

27 of 27 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f227ca99-ff3c-4de6-8344-fe86e7223182 · outbound

This paper cites KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents

Reference 1

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unresolved
no resolver link, observed 2026-08-15T17:00:25.292096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:00:25.292096Z digest=sha256:95ae2e07269359968452056d8bc8066622ddc46e3ac42b76713480790cca2731

Observation 3d8c1ab8-a094-4cf7-a4fd-bb62a4cd69d7 · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 2

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unresolved
no resolver link, observed 2026-08-15T17:00:25.297490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:00:25.297490Z digest=sha256:60a7c67e8a6b8f7f29a2f2ea5903def9aeef50f58686aa69753bae43dea0e350

Observation f3a9f5e5-8d69-495c-852f-97d15756d880 · outbound

This paper cites Surynek, ``Problem compilation for multi-agent path finding: a survey.'' in IJCAI, 2022, pp.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding Surynek, ``Problem compilation for multi-agent path finding: a survey.'' in IJCAI, 2022, pp

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:25.964976Z

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.

source=arxiv_source observed=2026-08-15T17:00:25.302324Z digest=sha256:07f7acbe3eeda3d7cfe25b88c80c6f657a9df9ce3c2b26987e4bdc23e44b3b14

Observation 706fbffe-cedc-49e2-b23c-7c0420b9cda7 · outbound

This paper cites Sharon, R.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding Sharon, R

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-15T17:00:25.950613Z

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.

source=arxiv_source observed=2026-08-15T17:00:25.307351Z digest=sha256:a1296f7a9474ee0299557193bc57cdd30c03981f3fa41ad8891a608b506e1f79

Observation 4132e69b-24d6-4785-9bfe-9e256d8a8dc5 · outbound

This paper cites Sartoretti, J.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding Sartoretti, J

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:25.935693Z

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.

source=arxiv_source observed=2026-08-15T17:00:25.311970Z digest=sha256:5fa8eba3c566e3bdb49504c2eadc1df269892b1c3bd50b6895bfc4c2a494d458

Observation c7f4e33b-dfeb-45e5-82df-04c8dc1db50b · outbound

This paper cites an unresolved cited work.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding Unresolved cited work

Reference 6

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unresolved
raw_fallback, observed 2026-08-15T17:00:25.921679Z

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.

source=arxiv_source observed=2026-08-15T17:00:25.316950Z digest=sha256:dca4bc7036573722aa748893a3c8a7067a3f156788eb2af378be0c02a2f1fae3

Observation cae0bced-2d3d-4f8d-96a1-2530a912c956 · outbound

This paper cites an unresolved cited work.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding Unresolved cited work

Reference 7

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unresolved
raw_fallback, observed 2026-08-15T17:00:25.907859Z

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.

source=arxiv_source observed=2026-08-15T17:00:25.321905Z digest=sha256:2be63e1240db6bdb2c5cc1780c95e41639fecfc2606d56abe4826bb3774c8fe3

Observation 66aa5e7a-171b-49c2-af70-e6ba372c4382 · outbound

This paper cites an unresolved cited work.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:00:25.893305Z

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.

source=arxiv_source observed=2026-08-15T17:00:25.325987Z digest=sha256:673ebae62f7513c777664bee72ea9a14de1a766526ef883e2a97d5884039ce7b

Observation 6dc4e3b6-cc33-40e9-ab3b-392273b784fe · outbound

This paper cites an unresolved cited work.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:00:25.877843Z

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.

source=arxiv_source observed=2026-08-15T17:00:25.330533Z digest=sha256:4805334b245fea8fd0193b11094c296012be2d452927e9ceead4c6f7459320bf

Observation 1355cd1e-cfd5-4627-a2ec-abf83e241f2c · outbound

This paper cites Why Solving Multi-agent Path Finding with Large Language Model has not Succeeded Yet.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding Why Solving Multi-agent Path Finding with Large Language Model has not Succeeded Yet

Reference 10

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unresolved
no resolver link, observed 2026-08-15T17:00:25.334930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:00:25.334930Z digest=sha256:f80513a7e3c1afb9a0d5f236c5f4c00e952311761cc219c42345c1a7ee45841d

Observation 29d52dd6-58bb-451c-8c26-a903f0bafecf · outbound

This paper cites Stern, N.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding Stern, N

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:25.862362Z

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.

source=arxiv_source observed=2026-08-15T17:00:25.339608Z digest=sha256:d5d2f213789db9629c57b365ed3f466f7819ef4ced55bec7fac549b2e9c16da6

Observation 5d506b94-f751-4ed4-a581-d52c7e9a8a88 · outbound

This paper cites Andreychuk, K.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding Andreychuk, K

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:25.847992Z

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.

source=arxiv_source observed=2026-08-15T17:00:25.344264Z digest=sha256:b98f7dfbe51356f39866d8a5806afcd767d8ba1fef92c3673490a3ffb46ef6b7

Observation 1c570dbf-1605-4aed-9d76-029e8c029b40 · outbound

This paper cites an unresolved cited work.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:00:25.833409Z

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.

source=arxiv_source observed=2026-08-15T17:00:25.348562Z digest=sha256:24e475a4ca417cc04849e460dfb6914fee6539cc1e3af493ed8ddc4b4fc6f2d1

Observation 889fc7f0-dcbb-40d3-b57f-d6e84a782037 · outbound

This paper cites an unresolved cited work.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding Unresolved cited work

Reference 14

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unresolved
raw_fallback, observed 2026-08-15T17:00:25.817326Z

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.

source=arxiv_source observed=2026-08-15T17:00:25.353727Z digest=sha256:037795d5da318486330d6368ae96e1c75445725ab18e6d2077e06d5200ffbf70

Observation b5b4ef1e-411f-423a-8a2a-c6a98afa48a7 · outbound

This paper cites an unresolved cited work.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding Unresolved cited work

Reference 15

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unresolved
raw_fallback, observed 2026-08-15T17:00:25.801903Z

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.

source=arxiv_source observed=2026-08-15T17:00:25.358153Z digest=sha256:21e4ff8fd7ca06979fbcc6626b9207b355c0600839874756bcf6a6f9b3bf2b40

Observation aab4e844-baf9-4d8f-b851-0aa4a6f01062 · outbound

This paper cites Tree-of-Code: A Tree-Structured Exploring Framework for End-to-End Code Generation and Execution in Complex Task Handling.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding Tree-of-Code: A Tree-Structured Exploring Framework for End-to-End Code Generation and Execution in Complex Task Handling

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T17:00:25.362897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:00:25.362897Z digest=sha256:70eef11fff7334cecc4cabd249fd03443ec7a279b231689edbca78d3d847b042

Observation f2ab8468-66d2-4f64-9b23-af96a280e839 · outbound

This paper cites ShieldLearner: A New Paradigm for Jailbreak Attack Defense in LLMs.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding ShieldLearner: A New Paradigm for Jailbreak Attack Defense in LLMs

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T17:00:25.367763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:00:25.367763Z digest=sha256:2bef0fd61035907f12ce4e996958cdb9a537f88a69df7e035f8d470c332e802c

Observation 24947609-faba-45ca-a89d-9ce174024701 · outbound

This paper cites LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T17:00:25.372616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:00:25.372616Z digest=sha256:60013f63d799a95f6a5eeb1be7471c270c42a9573350628c6014bd92f16908ec

Observation 675cbc10-c1cd-4769-a6c0-6f36323a3763 · outbound

This paper cites AgentCoord: Visually Exploring Coordination Strategy for LLM-based Multi-Agent Collaboration.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding AgentCoord: Visually Exploring Coordination Strategy for LLM-based Multi-Agent Collaboration

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T17:00:25.377421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:00:25.377421Z digest=sha256:1be4228f181f5172201f656bd963deaa9824ee5bcb7782be9fe64829b0bc52f9

Observation f132feab-c76b-494b-9f67-ffe52b00281a · outbound

This paper cites Veli c kovi \'c and C.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding Veli c kovi \'c and C

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:25.788211Z

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.

source=arxiv_source observed=2026-08-15T17:00:25.382123Z digest=sha256:9fabf72937e1e10c13d6b40d73cdcdb313125275368b490a1781870bbe48eaac

Observation 06d221a8-96e6-49de-9ecd-4c5aa7ef2b0b · outbound

This paper cites How Powerful are Graph Neural Networks?.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding How Powerful are Graph Neural Networks?

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T17:00:25.386578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:00:25.386578Z digest=sha256:710825427e71d9cdd7b60cf281be640543e5b0d126524363acee8a628dcc1871

Observation 0b52cd3f-bae6-47cf-90da-8953812acd69 · outbound

This paper cites A Generalization of Convolutional Neural Networks to Graph-Structured Data.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding A Generalization of Convolutional Neural Networks to Graph-Structured Data

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T17:00:25.390959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:00:25.390959Z digest=sha256:9a8740e9f2a9f74d34a07a68eb752145811ab35d3f56533702edb651273d3934

Observation bbb31629-dea2-4100-8a06-b8b4ad8b6e68 · outbound

This paper cites Transformers meet Neural Algorithmic Reasoners.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding Transformers meet Neural Algorithmic Reasoners

Reference 23

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unresolved
no resolver link, observed 2026-08-15T17:00:25.395822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:00:25.395822Z digest=sha256:f254d4e9aa9dbc3e2341d1231c02ab73171c9bb270c315b7a6841eef071d5723

Observation 3e1fbf27-c325-4a4e-9c4c-ee75de6043f9 · outbound

This paper cites Cappart, D.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding Cappart, D

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:25.773832Z

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.

source=arxiv_source observed=2026-08-15T17:00:25.400134Z digest=sha256:dd04b756fbffd9f61876d499fc90e8a56fffed899cb5e407220c211259a94c18

Observation 345bd63a-0417-4718-b17d-98bd4e4e85bc · outbound

This paper cites Ma, ``Graph-based multi-robot path finding and planning,'' Current Robotics Reports, vol.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding Ma, ``Graph-based multi-robot path finding and planning,'' Current Robotics Reports, vol

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:00:25.759185Z

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.

source=arxiv_source observed=2026-08-15T17:00:25.404417Z digest=sha256:2653da9d1d383b72a2592a3ca6e7c02f41d796bacf3120428b06187a86ec9f91

Observation 398f4ae3-031e-4ec7-9e1d-d906992e9dab · outbound

This paper cites an unresolved cited work.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding Unresolved cited work

Reference 26

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unresolved
raw_fallback, observed 2026-08-15T17:00:25.743652Z

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.

source=arxiv_source observed=2026-08-15T17:00:25.408740Z digest=sha256:ff91d776ec44b954b417a799ff52a7db9ca5cf8a0527baa4fc028d609518f3b5

Observation 791431b2-476c-4ced-a532-5391c311568b · outbound

This paper cites Engelmore, Robert and Morgan, Anthony.

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding Engelmore, Robert and Morgan, Anthony

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T17:00:25.413094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:00:25.413094Z digest=sha256:009de1af0db9563bc327cc1819ea52924c19cf92b15a1dcbb761e33801109490

Pith citing papers

No inbound Pith citation observations are available.