Paper Citation Record · LEDGER

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning

As of 23 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.02485.

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

pith.paper-citation-record.v1
2506.02485 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:26:39.730752Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

26 of 26 outbound references displayed

verified exact3
verified fuzzy6
unresolved15
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2a3a8502-7041-4b6c-9992-0a55e908b886 · outbound

This paper cites an unresolved cited work.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:26:43.737798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4acefacc-0437-404f-a775-fce23005e40f · outbound

This paper cites Explainable Global Wildfire Prediction Models using Graph Neural Networks.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning Explainable Global Wildfire Prediction Models using Graph Neural Networks

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T11:26:40.753337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 927f2628-ce2a-412e-ba90-ecc4114fbfbb · outbound

This paper cites an unresolved cited work.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:26:43.633091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 02cb41ac-8319-44bf-8e0a-057dfe8c08b2 · outbound

This paper cites Mambile, C., Kaijage, S., Leo, J.,.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning Mambile, C., Kaijage, S., Leo, J.,

Reference 6

Resolution: verified exact; doi, observed 2026-08-07T11:26:39.911625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 91699974-4a42-4504-8c97-b593d14e4f4c · outbound

This paper cites arXiv preprint arXiv:2506.06803.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning arXiv preprint arXiv:2506.06803

Reference 8

Resolution: verified exact; raw_fallback, observed 2026-08-07T11:26:40.565837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6435838a-27b2-4dad-8ca0-f04e2c7b2cbb · outbound

This paper cites Ismail, F.N., Woodford, B.J., Licorish, S.A., Miller, A.D.,.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning Ismail, F.N., Woodford, B.J., Licorish, S.A., Miller, A.D.,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:26:43.090551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 17434b56-f253-466e-b917-58564ae46cc8 · outbound

This paper cites an unresolved cited work.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:26:42.821764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 18368cf6-4a47-4868-9f4f-6b07a8b4b08d · outbound

This paper cites an unresolved cited work.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:26:42.544100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7511ee99-1683-4898-aa61-cd060f36bccf · outbound

This paper cites On the Challenges and Opportunities in Generative AI.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning On the Challenges and Opportunities in Generative AI

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:39.059373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b579c53-bf38-4a98-a0ef-f0d72b681612 · outbound

This paper cites https://svs.gsfc.nasa.gov/5568/.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning https://svs.gsfc.nasa.gov/5568/

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:26:42.290320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4f41b631-fbe0-49b7-a650-fa40b4423444 · outbound

This paper cites Technical Report 10.2022.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning Technical Report 10.2022

Reference 17

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T11:26:42.025144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 16b25c91-cdd2-4436-8503-c77957288ac9 · outbound

This paper cites IEEE Transactions on Artificial Intelligence 5, 1973–1989.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning IEEE Transactions on Artificial Intelligence 5, 1973–1989

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:26:41.767161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 559ca50c-25f1-4def-a850-07a62b32f943 · outbound

This paper cites A Review on Generative AI For Text-To-Image and Image-To-Image Generation and Implications To Scientific Images.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning A Review on Generative AI For Text-To-Image and Image-To-Image Generation and Implications To Scientific Images

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:39.291395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52c17414-bceb-4693-8116-5361ed3043bf · outbound

This paper cites an unresolved cited work.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:26:41.030656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bae0f560-ead9-45d4-b980-f2fd6c274faa · outbound

This paper cites WildfireGPT: Tailored Large Language Model for Wildfire Analysis.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning WildfireGPT: Tailored Large Language Model for Wildfire Analysis

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:39.566851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38959b42-05e9-4497-a149-5b58194f371f · outbound

This paper cites Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:39.618536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4638ce85-b7b0-4c6b-a97d-e8af1337f1a1 · outbound

This paper cites arXiv preprint arXiv:2404.18886.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning arXiv preprint arXiv:2404.18886

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:39.730752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 315f93e6-55ed-4058-b3f3-6bb50ea1fcdf · outbound

This paper cites Deep Learning for Wildfire Risk Prediction: Integrating Remote Sensing and Environmental Data.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning Deep Learning for Wildfire Risk Prediction: Integrating Remote Sensing and Environmental Data

Reference 1974

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:39.659244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9260d960-49c4-4ea0-8db5-ab1e4350764d · outbound

This paper cites 1: Physical and quasi-physical models.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning 1: Physical and quasi-physical models

Reference 2009

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:26:41.280372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 86bf12e8-4914-4c9d-86a9-9c0024de7fda · outbound

This paper cites Auto-Encoding Variational Bayes.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning Auto-Encoding Variational Bayes

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:38.783912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32dac91d-b6a7-447a-b250-c0f0506f0aa3 · outbound

This paper cites Towards A Rigorous Science of Interpretable Machine Learning.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning Towards A Rigorous Science of Interpretable Machine Learning

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:38.526954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 997a9863-880f-4894-9388-ac33dc4fa93e · outbound

This paper cites Empowering Cognitive Digital Twins with Generative Foundation Models: Developing a Low-Carbon Integrated Freight Transportation System.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning Empowering Cognitive Digital Twins with Generative Foundation Models: Developing a Low-Carbon Integrated Freight Transportation System

Reference 2020

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:26:40.251988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6f8f143f-2882-4a42-8af6-12bba78ba593 · outbound

This paper cites Sullivan, A.L.,.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning Sullivan, A.L.,

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:26:41.545006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation db9dccf1-29f6-4cbf-89df-c3dfd2d62d65 · outbound

This paper cites an unresolved cited work.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning Unresolved cited work

Reference 2023

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:26:43.515139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e0e62fcd-a8f9-43f0-893e-f5c1e3b1e0b3 · outbound

This paper cites an unresolved cited work.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning Unresolved cited work

Reference 2024

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:26:43.856910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7b5f1e5b-9a3a-4683-b6a0-6e5e74fe9898 · outbound

This paper cites wildfires: Los angeles paradise fire.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning wildfires: Los angeles paradise fire

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:26:43.303113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.