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Paper Citation Record · LEDGER

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

As of 15 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:e4ab8e9c599433be1488365d32369a2553e6e09e2601c28cbb8ab5fb843a0863

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=sha256:5034aadf0348c426661d5107cbc9651820beff4a7130e234dd54c2270429096d

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:ea26793d9cd5108f3ba0ea393b1945a04317aeac083731105102dcff1edd74b3

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=sha256:8f8d452dad681dadd4fe689a3bbb951ae1238455a3a1aa1e714afccb2d942db7

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:db8ca38f8a86d04dfdba816c896b0b2e2584181af626f834dbc78174bc4f8e93

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=sha256:939c79a104bfd63096af6610cc36809580cc89a19bb09c0ff4ffe1c9d8353445

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=sha256:52b32ad67d4cd070a3291b5397105ac9e2d75ac6387069bdddefe0e99fc441c8

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

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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=sha256:6d42e327a3c2828cb9c40285fb9ffaafccd9bb4ac346689545f28ecf7ed26a5a

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:e68db989c9d08081340a251705d3476fb028bb23dad3ee3782e06662e8106aca

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

Resolution
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=sha256:4e48828795812db3dd5432bac4780669b56bc1f78fd5738f5328dcf0a86ae7e3

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:c22aca5eadac4c2f4ef6331912ff1c556b551b126d6cdaff1a6ccb90286a33f6

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:ef02db0de062165b68f178b0008b87a7e1cd5f00bed3952cb3754c296e28a134

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:f0bca06769a6c18fee3ce0e8fcffc9a2579c60e781dded3e610a66e144276274

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=sha256:9ce3a8cccb2963a0efaf4d3f4653bc36d8293bd28c1a946a5fff3774ca84ab93

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:ada22059e8796a188be7b6da64b095ffb6b00e1777656cfcf8113efae30a106e

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:d899cf2608e99c64930526b991d5396a1e3a0686a7761333c49542a1e7ac977e

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=sha256:117a43b8875b702f74d9070f0afeaa1bc6fcb547dfb0a26fab9b2b294de7163a

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=sha256:5a44d11d31070d036e22e4f3b698e9bf66af258cdd8a07fb3a285d3dbbd7975c

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=sha256:42702682efc476c0daee60a65354c88e5ace4deabd7f3a8ab4dd5b4635e3c515

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=sha256:188e5a19abed95dd855fa2e2d6254d13873a4822d14d16e49e8f71a634659710

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=sha256:3a2ca2ee41da118308c730e51ad9a6c81ebf771488da07a36a6f7e1da0832e7f

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=sha256:6269a33887833b59321dca4fbb0070b562d80ecf4d133c5df9bfece90540e8ba

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=sha256:33445080277f1442926c343ecf81b0523d08e750cd3f2c7d458b6f3692853603

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=sha256:3bb609a7885862fc6d239b1945c97a3fbda662184b620582cf923adfd13b2d89

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:ea20f1cb465a4675c1ae6b6f660e8c5ad9666973360b84d5fd5473e723cbb706

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=sha256:4c25991131592bf57e40aa34d099c5a22028b2848cedfcaa8606459feddae1db

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=sha256:5c06afa914640a65f886150c6e83a5eb878597b17f6ac4a16754a419b431a40e

Pith citing papers

No inbound Pith citation observations are available.