Pith. sign in

Paper Citation Record · LEDGER

LLM Agent for Fire Dynamics Simulations

As of 19 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 6 inbound Pith citation observations for arXiv:2412.17146.

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

pith.paper-citation-record.v1
2412.17146 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:48:04.871819Z

measured 21 of 21 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:12:59.533803Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation d2adbe92-ba65-4954-bbc5-066617b789c1 · outbound

This paper cites GPT-4 Technical Report.

LLM Agent for Fire Dynamics Simulations GPT-4 Technical Report

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T05:48:04.823330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:48:04.823330Z digest=sha256:388ceb5641e9601de6af2ab9beb75b6312b4d8759a2caf28e44813409f8c8c6d

Observation 5dec59e8-2408-4ce9-9e90-cba219e9ca1e · outbound

This paper cites A Survey on Large Language Models for Code Generation.

LLM Agent for Fire Dynamics Simulations A Survey on Large Language Models for Code Generation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T05:48:04.828016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:48:04.828016Z digest=sha256:cf9f80bb9d31951b824c19a44e5b6f254ee02166752a3502080fd5489b5e9070

Observation be258f25-f67c-44b7-a726-fd1517329fe5 · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

LLM Agent for Fire Dynamics Simulations MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T05:48:04.838123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:48:04.838123Z digest=sha256:d9f63f34e640ac4740a887133213c4cb68095993c14f04bf2ea6f912f0daf20a

Observation f88ca0ec-ca1d-4d6f-b7a4-cdbc443d8c6d · outbound

This paper cites RepairAgent: An Autonomous, LLM-Based Agent for Program Repair.

LLM Agent for Fire Dynamics Simulations RepairAgent: An Autonomous, LLM-Based Agent for Program Repair

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T05:48:04.843009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:48:04.843009Z digest=sha256:2e7f8210e8afc897afc4dad2a34086bf801f92fe5dd7af2346c146809f4599cd

Observation 13feda07-6488-4cf5-a247-36b8909245a3 · outbound

This paper cites LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins.

LLM Agent for Fire Dynamics Simulations LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T05:48:04.848175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:48:04.848175Z digest=sha256:6e735148e585820698de6f9ea559efb23e88c2734f848d2bd3b2d8bfd779e2b9

Observation 78f6c8dc-d6e6-4f40-9986-e2848029ccc9 · outbound

This paper cites Language Models are Few-Shot Learners.

LLM Agent for Fire Dynamics Simulations Language Models are Few-Shot Learners

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T05:48:04.807749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:48:04.807749Z digest=sha256:2b338dc5b78d91ec7ebc16380d48b7ab8180d4428d15f7745aacfdfced616377

Observation f355f4e6-7a56-4e6a-b2d8-a36d594cb9be · outbound

This paper cites MetaOpenFOAM: an LLM-based multi-agent framework for CFD.

LLM Agent for Fire Dynamics Simulations MetaOpenFOAM: an LLM-based multi-agent framework for CFD

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T05:48:04.852615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:48:04.852615Z digest=sha256:4fb19bc8d4eacba807bf50ca9fed9b58e8476fe2c37e437773f38c276d6ac01e

Observation db4b3d3d-34a1-4c46-8cff-ccbce69cf542 · outbound

This paper cites The Faiss library.

LLM Agent for Fire Dynamics Simulations The Faiss library

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T05:48:04.861960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:48:04.861960Z digest=sha256:9f19002374fb1c7e6d7fe4170a7dd431e9a3d21d0843e410b5254aae63783f6c

Observation 9c357817-fac9-416f-b060-cbd3d32b3848 · outbound

This paper cites Corrective Retrieval Augmented Generation.

LLM Agent for Fire Dynamics Simulations Corrective Retrieval Augmented Generation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T05:48:04.867409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:48:04.867409Z digest=sha256:d819af89f6f006cc96a02fce4b277ce3604b90025c3443d7fea286fe7d5ef107

Observation 377c8aad-6702-4840-9209-a9e6d7a46031 · outbound

This paper cites Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection.

LLM Agent for Fire Dynamics Simulations Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T05:48:04.871819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:48:04.871819Z digest=sha256:61019f3d21a554a4c8e1d7c23c8451aed3e43eefc2b139a680a6533f6ef3daff

Observation b4da7ee9-d173-430f-a901-890080966038 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

LLM Agent for Fire Dynamics Simulations Code Llama: Open Foundation Models for Code

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-11T05:48:04.812849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:48:04.812849Z digest=sha256:640f686ab3c99e369b7260b2abfcf395681c1ccdfdb076ab5c5c6a9b2dc54393

Observation 60eed478-7f65-403f-87fc-da41f1b8af1e · outbound

This paper cites an unresolved cited work.

LLM Agent for Fire Dynamics Simulations Unresolved cited work

Reference 2021

Resolution
unresolved
raw_fallback, observed 2026-08-11T05:48:05.104253Z

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=pdf_text observed=2026-08-11T05:48:04.802847Z digest=sha256:bf7e19043041f07c1b567a91aaf049b6b5ec38fe3d5d187f04b3041824c1b87b

Observation 662bfef3-161c-47ed-9474-5910a30014de · outbound

This paper cites Learning to reason with LLMs.

LLM Agent for Fire Dynamics Simulations Learning to reason with LLMs

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:48:05.089730Z

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=pdf_text observed=2026-08-11T05:48:04.857287Z digest=sha256:ef50ccfc06e700437cb5a34e0ddc318e89c66492497b9793ba43803f504182d7

Observation 39f3e895-3c65-4690-9de4-7f1ee7372664 · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

LLM Agent for Fire Dynamics Simulations CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-11T05:48:04.817845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:48:04.817845Z digest=sha256:b8fa31185d09fa9fa7be07def8c31e1fd4d741c7ba77a80454edf05a94026f20

Observation 2f1f0581-98e0-4a22-94ef-c1ede1b193b8 · outbound

This paper cites Large Language Model-Based Agents for Software Engineering: A Survey.

LLM Agent for Fire Dynamics Simulations Large Language Model-Based Agents for Software Engineering: A Survey

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-11T05:48:04.833137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:48:04.833137Z digest=sha256:a5fe9959dfdca12112ff13efaa3785c321d1660027a887a5a4782142a5cec808

Pith citing papers

Observation 29154caa-da98-4db5-99da-c39c96cb0b3c · inbound

Simulation Agent: A Framework for Integrating Simulation and Large Language Models for Enhanced Decision-Making cites this paper.

Simulation Agent: A Framework for Integrating Simulation and Large Language Models for Enhanced Decision-Making LLM Agent for Fire Dynamics Simulations

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T20:12:59.533803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:12:59.533803Z digest=sha256:9f0a7e4b0110881c04a4afd87388c5d6f4b64061ef94f2a8364f2326e01654c0

Observation 15e8e9c9-dd40-4bf8-80fb-acfcb963628f · inbound

MCERF: Advancing Multimodal LLM Evaluation of Engineering Documentation with Enhanced Retrieval cites this paper.

MCERF: Advancing Multimodal LLM Evaluation of Engineering Documentation with Enhanced Retrieval LLM Agent for Fire Dynamics Simulations

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:30:48.224679Z

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=pdf_text observed=2026-05-16T09:29:32.250418Z digest=sha256:4d073ba184571da93fd5e9e2c5232469af92ec05b8db1654205c97800edde4de

Observation 8967e028-ce35-42bb-a128-2a2e78a30175 · inbound

MCERF: Advancing Multimodal LLM Evaluation of Engineering Documentation with Enhanced Retrieval cites this paper.

MCERF: Advancing Multimodal LLM Evaluation of Engineering Documentation with Enhanced Retrieval LLM Agent for Fire Dynamics Simulations

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-03T06:07:39.996498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:07:39.996498Z digest=sha256:ec2b5b0342701ec2be82fd26538fb341d21088247a38ca1a8c190c9c09cd4826

Observation f455b3f3-6680-4b4f-975d-d542b070f7cf · inbound

AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents cites this paper.

AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents LLM Agent for Fire Dynamics Simulations

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-08T23:34:25.500058Z

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=pdf_text observed=2026-05-08T05:49:04.698675Z digest=sha256:c50e8b1dabd4c72bb1fe81f6b0f06b718934d73d844132b4d7cbad8453f892e4

Observation 96ab7e3b-d52a-45fd-9b00-999b075b74bc · inbound

AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents cites this paper.

AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents LLM Agent for Fire Dynamics Simulations

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:10:53.108512Z

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=pdf_text observed=2026-05-11T02:05:57.854868Z digest=sha256:1e690f2fb2a1de219f05a99839dcfe594081ebacaf3eeb6d32a8b6aaf113eeb9

Observation f8f3f778-394d-4d24-b096-372e364e5605 · inbound

AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents cites this paper.

AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents LLM Agent for Fire Dynamics Simulations

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:03:01.586118Z

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=2026-05-14T22:02:47.160731Z digest=sha256:c2a9e847da168aff87a1a50e46929cd891cd8b4c8effbc72a69bc979f2294b37