Pith Number
pith:Z2XP53FV
pith:2024:Z2XP53FVNGWWJPQ2OXC6HIPAZO
not attested
not anchored
not stored
refs pending
Deep Learning for Wildfire Risk Prediction: Integrating Remote Sensing and Environmental Data
arxiv:2405.01607 v5 · 2024-05-02 · cs.LG · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Z2XP53FVNGWWJPQ2OXC6HIPAZO}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
· sign in to
claim
4
Citations
5
Replications
✓
Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:22:15.724704Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ceaefeecb569ad64be1a75c5e3a1e0cbaa849eab8cb410fc5acf4eaf3e225d4a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Z2XP53FVNGWWJPQ2OXC6HIPAZO \
| 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: ceaefeecb569ad64be1a75c5e3a1e0cbaa849eab8cb410fc5acf4eaf3e225d4a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c73d7c433ef33761ab7aa881a6c6b8166088b0ed41e0fa8d997326ca38fdf315",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-05-02T04:53:42Z",
"title_canon_sha256": "189a4eb564580499f446840d254a91a2cf43b870e621c0b7585f77c6a0196c24"
},
"schema_version": "1.0",
"source": {
"id": "2405.01607",
"kind": "arxiv",
"version": 5
}
}