Paper Citation Record · LEDGER

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities

As of 22 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2506.08690.

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

pith.paper-citation-record.v1
2506.08690 v3

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:11:02.183133Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

22 of 22 outbound references displayed

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verified fuzzy10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e8b0d5e8-63a3-4e8c-99a1-116ca7a29d33 · outbound

This paper cites AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities.

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:11:02.055938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f630c411-b83a-46f1-9fde-79a06fe790d1 · outbound

This paper cites Carbon emissions from the 2023 canadian wildfires.Nature, 633(8031):835–839,.

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities Carbon emissions from the 2023 canadian wildfires.Nature, 633(8031):835–839,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:11:02.476220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 87a63465-0156-4cc9-8230-f47c0608a560 · outbound

This paper cites Wildfire Forecasting with Satellite Images and Deep Generative Model.

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities Wildfire Forecasting with Satellite Images and Deep Generative Model

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:11:02.325522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b9b9e677-a4de-4dd8-88e3-f90bff2b9ec7 · outbound

This paper cites Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data.

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:11:02.135450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c47b02e0-05e4-4a27-a83e-2cea762f3c09 · outbound

This paper cites Drivers and impacts of the record- breaking 2023 wildfire season in canada.Nature Communications, 15(1): 6764,.

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities Drivers and impacts of the record- breaking 2023 wildfire season in canada.Nature Communications, 15(1): 6764,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:11:02.435708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1898b304-ad15-48e0-af05-8fde34eeca5f · outbound

This paper cites Foundation Models for Generalist Geospatial Artificial Intelligence.

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:11:02.142885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbcf9e62-49ad-4f77-9960-b89ae1a77ac9 · outbound

This paper cites Deep Learning Methods for Daily Wildfire Danger Forecasting.

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities Deep Learning Methods for Daily Wildfire Danger Forecasting

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T05:11:02.157932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9395b93b-7ee2-4cf9-a542-6a8eaf99b876 · outbound

This paper cites Deep Learning for Global Wildfire Forecasting.

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities Deep Learning for Global Wildfire Forecasting

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:11:02.250972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c19e38d1-347a-44c0-b0cd-0ba48b814e35 · outbound

This paper cites As- sessing the performance of various fire weather indices for wildfire occur- rence in northern switzerland.EGUsphere, 2022:1–23,.

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities As- sessing the performance of various fire weather indices for wildfire occur- rence in northern switzerland.EGUsphere, 2022:1–23,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:11:02.410352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8bd88bee-35be-4f27-9e25-04de2d86bec2 · outbound

This paper cites Global trends of forest loss due to fire from 2001 to 2019.Frontiers in Remote Sensing, 3:825190,.

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities Global trends of forest loss due to fire from 2001 to 2019.Frontiers in Remote Sensing, 3:825190,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:11:02.398720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 193c0e58-ff49-47ba-804a-2213638242e4 · outbound

This paper cites Unsupervised Wildfire Change Detection based on Contrastive Learning.

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities Unsupervised Wildfire Change Detection based on Contrastive Learning

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:11:02.218865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 85bb614f-8ad1-4401-a3e2-01c0435a053c · outbound

This paper cites The circle, square, and triangle represent the maximum value for each set.

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities The circle, square, and triangle represent the maximum value for each set

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:11:02.375777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1f233611-ecc0-4d6d-a080-9802e8395508 · outbound

This paper cites CNN Training Parameters The CNN models are trained using the combined weighted cross-entropy and dice loss.

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities CNN Training Parameters The CNN models are trained using the combined weighted cross-entropy and dice loss

Reference 384

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:11:02.387140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a6de114f-3cbe-415e-8eac-5e409f7359fd · outbound

This paper cites Reviews & syntheses: arctic fire regimes and emissions in the 21st century.Biogeosciences Discussions, 2021:1–59,.

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities Reviews & syntheses: arctic fire regimes and emissions in the 21st century.Biogeosciences Discussions, 2021:1–59,

Reference 1989

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:11:02.422172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 49f7d0b2-c10b-4e05-a42a-ac33ae827d06 · outbound

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

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T05:11:02.120472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation affa41ad-77aa-4342-b0ce-c6bc447a05b0 · outbound

This paper cites SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery.

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T05:11:02.146894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73202b94-bdbf-4770-a42e-221d062a2b2b · outbound

This paper cites Multi-Stage Prototype Learning for Interpretable Time Series Classification.

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities Multi-Stage Prototype Learning for Interpretable Time Series Classification

Reference 2019

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:11:02.341045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8d5bf02a-a4aa-430c-a47b-b3943c87bb20 · outbound

This paper cites Explaining multimodal data fusion: Oc- clusion analysis for wilderness mapping.

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities Explaining multimodal data fusion: Oc- clusion analysis for wilderness mapping

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:11:02.449929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation af74d3ce-18b6-4a6e-83d4-c9e4c0c43a95 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities DINOv2: Learning Robust Visual Features without Supervision

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T05:11:02.153979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fbd4b16-852f-4cd1-a4bd-d591291f80c0 · outbound

This paper cites SMARTIES: Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing Images.

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities SMARTIES: Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing Images

Reference 2022

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:11:02.235396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 39d74edb-a29a-435e-b5c1-4ef4cd2baf04 · outbound

This paper cites Prediction of boreal peatland fires in canada using spatio-temporal methods.

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities Prediction of boreal peatland fires in canada using spatio-temporal methods

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:11:02.487596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6f031dd9-a996-42f4-8947-4fb4c338b03c · outbound

This paper cites Human influences on wildfire in alaska from 1988 through 2005: an analysis of the spatial patterns of human impacts.Earth Interactions, 12(1):1–17,.

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities Human influences on wildfire in alaska from 1988 through 2005: an analysis of the spatial patterns of human impacts.Earth Interactions, 12(1):1–17,

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:11:02.461556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.