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Paper Citation Record · LEDGER

LLM Agent for Fire Dynamics Simulations

As of 12 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 2026-08-12T06:34:41.77262+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=sha256:6d4cbb4cb1607ac687ac98b38ac01fcb3a1d57ab6dd99e918fca51214da078a8

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=sha256:90080167d1a1eb2a99c9c486d03df4cf15d3affc4b726cd51cb2b5ba088a4baf

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=sha256:2ec53668e933c590b9fe1d7c83f11475321a6ceaf6efbb49f3cb6bae060eb463

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=sha256:81363dfd6256e937c174f2a272397ed7a2266963c5ba49ed8fc4266857d8c38d

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:fd7f166e06c5b7c46c5e0df034d8b8f3d172eb1dab2ec4f7f6e9b458c1ec1ede

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=sha256:16d29b99c10a1da3df685d4aa585717087ba287e9f5fa975efc9ace780ec040d

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=sha256:785c6ec1af0384db445796ceddea73e24c20c553412e2782e244559d1bad5524

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=sha256:86e4530b52ff1836d323ec59c58fdbbfd7ed6fa32c343d4506362faca1a3daf6

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=sha256:2c1662a1f1bf123314e9ebebbcd853c79eefcf9ab33cb820bd53ce647af54489

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=sha256:3984d418703fcf24eefbf7ca6c605618c3903b77d2f52a89a2ca08769f905232

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:ab12913f5078bf5138205d38c73354155e7bc31cb085e695f9dc6124795111b7

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:48:04.802847Z digest=sha256:49a4e8059f664adcbbd2c9160c9bf213abd041bf7d3b4f6483420c4af67c3c6b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T05:48:04.857287Z digest=sha256:0b979614ffe34092b7a66bf21aef2b1b60edd17209d10afc1c81c80d72420de1

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=sha256:5e8dd780a97cd1f98c7712897c078b63e635237d0323f41bf55261704603a5ad

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:c3a7bba6f4429988e2a141763633eceb9b669af7315db5c2775c366f4e89a81b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-16T09:29:32.250418Z digest=sha256:059e52e2a19667e4f41221988b100c811c3d832b79d1f065aa843ecec9aee9ae

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:a404864f645f82bb0481abdc87a8dcdcf9e82169e79f0229390403aa876ef468

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-08T05:49:04.698675Z digest=sha256:a3c320e02943f06662066b9e41a4fe899c09eb5c31ff9cc32332a4641e6d0a36

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-11T02:05:57.854868Z digest=sha256:5f4f3b62b2a19c1b3d019077eefd20275c90b99730a2aa6f44391f17bcabadaa

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-14T22:02:47.160731Z digest=sha256:93cc87050d549906cb6797a98ce2b01fbd09bf24a8f9469e09279423fd11a568