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pith:2025:S3B3RQO5BK6UFK4XOGLFCUMSQS
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FireScope: Wildfire Risk Raster Prediction with a Chain-of-Thought Oracle

(2) ETH Zurich), Danda Pani Paudel (1) ((1) INSAIT, Konrad Schindler (2), Luc Van Gool (1), Mario Markov (1), Sofia University "St. Kliment Ohridski", Stefan Maria Ailuro (1)

A vision-language model with chain-of-thought reasoning predicts wildfire risk rasters that transfer from US training to European testing.

arxiv:2511.17171 v6 · 2025-11-21 · cs.CV · cs.LG

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

When trained in the USA and tested in Europe, FireScope achieves substantial performance gains, while expert feedback and automated analysis confirm that its reasoning traces are faithful and semantically meaningful.

C2weakest assumption

That expert-defined risk rasters in the US and real wildfire events in Europe constitute sufficiently aligned and representative supervision signals for the VLM to learn transferable causal reasoning across continents.

C3one line summary

FireScope is a VLM framework that generates wildfire risk rasters together with reasoning traces, showing improved cross-continental generalization when trained on US expert maps and tested on European fire events.

Formal links

2 machine-checked theorem links

Cited by

1 paper in Pith

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First computed 2026-05-25T02:02:10.443832Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

96c3b8c1dd0abd42ab97719651519284bd33cf2a3eb37f5920ba0e12863bc2e1

Aliases

arxiv: 2511.17171 · arxiv_version: 2511.17171v6 · doi: 10.48550/arxiv.2511.17171 · pith_short_12: S3B3RQO5BK6U · pith_short_16: S3B3RQO5BK6UFK4X · pith_short_8: S3B3RQO5
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/S3B3RQO5BK6UFK4XOGLFCUMSQS \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 96c3b8c1dd0abd42ab97719651519284bd33cf2a3eb37f5920ba0e12863bc2e1
Canonical record JSON
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
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    "submitted_at": "2025-11-21T11:45:22Z",
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