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Paper Citation Record · LEDGER

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

As of 16 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 2026-08-15T06:32:42.880941+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=sha256:8ca0c2103ed32e5dc7779a3f5861cecc07d6ac44c8f3a2a6af680f3f81e9cf7e

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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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:c2801b76703eb2afc0d1cb156c7b99bd436168ee82fb6aeac0b9143ed600261c

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T17:00:25.302324Z digest=sha256:328362f438f9d1cf29cffbb91ce2a5150eba49c2b51a4aa09f69ca528a0a28ce

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T17:00:25.307351Z digest=sha256:f7ae84d52470f30498b3d1d0948fba9e30b1323efa4b43bf24afc513d3a103f0

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T17:00:25.311970Z digest=sha256:b690e094c85a9e474fc46df8bc7235919c9a37be47576eade57a5d01cd8106eb

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T17:00:25.316950Z digest=sha256:ddc4b6a0d2ce2080a2a3f55acf19c78c738235a64020eefea1a925a703b07e43

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T17:00:25.321905Z digest=sha256:3f4b16ad454d77cdcc04e73c6ab4767e6f8ec1d292b720d20c43e4099b0e9d4a

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T17:00:25.325987Z digest=sha256:ffe9e03cf744fabef1da9cc5ce2f54347d59d589dc899c5badad2453ab286fa5

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T17:00:25.330533Z digest=sha256:ab26942a7ce0c40463b9a35403c8beaaec84e23137aa5ee8bf4e743d6f6e915a

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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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=sha256:48d99d88213392684ebb73ea44d376b67ac658da3e5dde0c32a8812db1997fa5

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T17:00:25.339608Z digest=sha256:e40ff151ea6529877dfa977f8231e063577ff31ff2e6f24bd6618adfe98dea9c

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T17:00:25.344264Z digest=sha256:3d4de6a53a911b6907faa20047ddc15685fbdd20d03db717cbd9eb670b9fbdfb

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T17:00:25.348562Z digest=sha256:918fc12ee1a4ed20729f0d2be39ac48eab43f45dadf570f66d4f7dc6ce3ca688

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T17:00:25.353727Z digest=sha256:4cf47f3a2e0154d39bac9397a3c00babbb5b2e2e88e5c38be034914e9c62834f

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T17:00:25.358153Z digest=sha256:bb7eac9cb8ff50f687d386c15c58f34065587524ac8d15cf1f4b7c3c4b2cf644

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:d5c9108a5f2e3016603076098e51fad45333f09ae6d75836c0f7a314d3dfa6f5

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=sha256:49321947c4e8e274c5c5a23ce7ea7c655816030ed09dc4502621b10fb92b3ade

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:ef7b42fa043ff9900ad619327d43a4d02105ac7e7956828da4f1304c1f906972

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=sha256:43398ae94fd694406d761ed5b318f9c2aa39b4a014d1fb955d1d0771dfd2ed87

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T17:00:25.382123Z digest=sha256:0878e39f68903b36ab636294fa43360e432d28a525a71ac8c81ba511e75dc6e0

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=sha256:8504f556ce8360f0479c16b7ba07cc4fdc2c52d213eb6ad21aacb7ad9e7ac65f

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:ce22c076e4be164a0fd2c3b2a6f3af18a05c898c8c84997e3cf3dc72808270c3

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

Resolution
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=sha256:6a9583b3e5f8ea0676921bdc024de7130ed377266737cedc4719eaefe09d2636

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T17:00:25.400134Z digest=sha256:a360294993e848d250d44184a3fd7da6f78b687e5c8e0e38d4f4a0e62038751c

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T17:00:25.404417Z digest=sha256:9d30f02b68d3530116cbccffaad4d041f920e381323dd4c6cc90af9dc1fbab94

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T17:00:25.408740Z digest=sha256:2341ad8d8dec8062abc02d7a73051dbc1e1f326951728034ca582758539911f5

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:c6645c311baa9990a389a02d142d242a8d3838e4017cb3ebf4389aad2cfb61b0

Pith citing papers

No inbound Pith citation observations are available.