Paper Citation Record · LEDGER

Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization

As of 21 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2504.13776.

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

pith.paper-citation-record.v1
2504.13776 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:05:17.189122Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

19 of 19 outbound references displayed

verified exact1
verified fuzzy8
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c1cd06b9-916f-43fc-b4d4-e3e1ddf86c9c · outbound

This paper cites Active fire detection in landsat-8 imagery: A large-scale dataset and a deep-learning study.

Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization Active fire detection in landsat-8 imagery: A large-scale dataset and a deep-learning study

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T12:05:17.093913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ac43617-96a6-4010-9fb8-7aa00e553ce5 · outbound

This paper cites https://www.grida.no/publications/769, 2022.

Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization https://www.grida.no/publications/769, 2022

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:05:17.553232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8b412362-2070-4488-94c3-2d65b34b600a · outbound

This paper cites Cottrell, and Mai H.

Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization Cottrell, and Mai H

Reference 3

Resolution: verified exact; doi, observed 2026-08-16T12:05:17.237017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 50b9cd2e-7534-4fe2-bb28-953a9087e09b · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T12:05:17.109883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3720c80b-d117-42e8-bd0e-9898cfc04cd6 · outbound

This paper cites Vision transformers for remote sensing image classification.

Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization Vision transformers for remote sensing image classification

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:05:17.536510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0af8be0c-fe72-4769-8f3d-f47b384464c5 · outbound

This paper cites Wildfire detection from multisensor satellite imagery using deep semantic segmentation.

Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization Wildfire detection from multisensor satellite imagery using deep semantic segmentation

Reference 6

Resolution: metadata mismatch; raw_fallback, observed 2026-08-16T12:05:17.370274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a73de6e7-3118-44ff-b05f-a0c484c9aff7 · outbound

This paper cites A review on early forest fire detection systems using optical remote sensing.

Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization A review on early forest fire detection systems using optical remote sensing

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T12:05:17.127897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 056551a2-9589-49a8-824f-db03f88b5abc · outbound

This paper cites Active fire detection using landsat-8/oli data.

Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization Active fire detection using landsat-8/oli data

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:05:17.519973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2f68819e-9c18-4e44-95cb-1a056ce08675 · outbound

This paper cites Hotmap: Global hot target detection at moderate spatial resolution.

Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization Hotmap: Global hot target detection at moderate spatial resolution

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:05:17.503922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 941ab621-f08f-4c37-a99a-e2e10e46f92d · outbound

This paper cites Global operational land imager landsat-8 reflectance-based active fire detection algorithm.

Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization Global operational land imager landsat-8 reflectance-based active fire detection algorithm

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:05:17.487394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a61e4f08-e89c-4030-8751-4492ac21ae4b · outbound

This paper cites Training data-efficient image transformers & distillation through attention.

Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization Training data-efficient image transformers & distillation through attention

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T12:05:17.149627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37639729-4f93-40f3-90c6-7598123625b4 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization Swin transformer: Hierarchical vision transformer using shifted windows

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T12:05:17.154638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 503f2fd2-760b-4197-93d3-dfbd998fdd12 · outbound

This paper cites Cvt: Introducing convolutions to vision transformers.

Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization Cvt: Introducing convolutions to vision transformers

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:05:17.450632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d36c1152-82ed-4104-9c3e-036d21f56c3f · outbound

This paper cites Masked-attention Mask Transformer for Universal Image Segmentation.

Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization Masked-attention Mask Transformer for Universal Image Segmentation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T12:05:17.164975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e27b862-ced8-4569-9fc5-ccf72c6ccc50 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization U-net: Convolutional networks for biomedical image segmentation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T12:05:17.169796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58353bd2-1198-4789-ab71-6c0f97d4e792 · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T12:05:17.174783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6c19c0f-90e6-4e05-853a-f74d1851e96d · outbound

This paper cites Transformers in computer vision.

Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization Transformers in computer vision

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:05:17.423158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 97404ba9-b329-4c78-9a7d-d26839a0a858 · outbound

This paper cites Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation.

Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T12:05:17.184171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e02779a-844f-48da-b3c8-e17353fc5d12 · outbound

This paper cites Dilated volumetric network: an enhanced fully convolutional network for volumetric prostate segmentation from magnetic resonance imaging.

Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization Dilated volumetric network: an enhanced fully convolutional network for volumetric prostate segmentation from magnetic resonance imaging

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:05:17.406512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.