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Paper Citation Record · LEDGER

LLM Agent for Fire Dynamics Simulations

As of 11 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 5 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 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:07:39.996498Z

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:bbd25fb6454acd005c31659c66ee7000d5f3308983f1525c7b5c1b5c82c6da51

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:bb5455f678fec8ff14bc4ae82414428780b76c28316160fdfc9d99bc99944d38

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=sha256:5d1dd5e0195a0729935b9c289af460d0da5eff881a4b07ca85689811f711773a

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=sha256:44aa0e219cecf76b159a78dc2ddfe2884cbd0f1c5888ed582d97b7060c4211ec

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=sha256:56612816c9a9674a1d056d81b26905eddd10a2c7c18950d62e291d174ef17457

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:acdc8127609452f9e5b188240f26814bdf3049c7104738501118f67651f7b00b

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=sha256:3387a58b0362351e9d8de9f16ddf650965e83934185051dc61cb4fb7fb28f225

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:f39e6d2d912f65301d4f3793e1781eacbe4f62a9e30c9f51c07de3dd62a9f48b

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=sha256:59046051bea724bd355c61b83c40f79ed013f5dd95c47c2b8a0f5119c1214556

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=sha256:010576750e2513d0806834f3e9df1d226604fee8f9960eb306d5778a54ffddca

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:c21704bacc46ed047dea8ed86ba09927a6383f1812227fe29971931b4062fa73

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T05:48:04.802847Z digest=sha256:613ec85e6e93b10416a0f2aef11d10d4e19245946b6d0cabc6fc7048981b6255

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T05:48:04.857287Z digest=sha256:17fed5165ed8ab076f89c56df1442c91f052502e01e55a19f41d014070c25e72

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=sha256:92e4a3dbc6859741c277bc41fc35bc2219ea72984fb278c350e7e367cf136c4a

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=sha256:8399e1355bff5e1b81cacca7619b93453a6d872c6e3704c113050b3116eaf812

Pith citing papers

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-16T09:29:32.250418Z digest=sha256:5f0eea9c77366d97073f6f281e81060a52cfcdcb892cf7bced69fb9728bd26a3

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:b411fafc6bad87553350531d21d9ea407e33d307d1c8d05e779841821d13229d

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T05:49:04.698675Z digest=sha256:aab1619d5c47a2c6d25520500f8d21fda7970f705cf941ad3e302c1e493b5ebf

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-11T02:05:57.854868Z digest=sha256:fdeb49a95d3122cbbb164d56582fc4863ce2c855ecba0b4183841291022a2938

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:02:47.160731Z digest=sha256:4d862b2fd39b32d634af19c58a64571eaf2eecf8e05a9f1cc1dee552d007a4ce