Pith Number
pith:WL2DGO2S
pith:2024:WL2DGO2SIQMA4V2RBU43VQJSYH
not attested
not anchored
not stored
refs pending
Enhancing Wildfire Forecasting Through Multisource Spatio-Temporal Data, Deep Learning, Ensemble Models and Transfer Learning
arxiv:2407.15878 v1 · 2024-07-20 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WL2DGO2SIQMA4V2RBU43VQJSYH}
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
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4
Citations
5
Replications
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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.
Receipt and verification
| First computed | 2026-07-05T09:56:53.097984Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b2f4333b5244180e57510d39bac132c1d9c279b01560d3d9391a1060ac0afd8e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WL2DGO2SIQMA4V2RBU43VQJSYH \
| 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: b2f4333b5244180e57510d39bac132c1d9c279b01560d3d9391a1060ac0afd8e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "56dc6c42230d39a868c6abd811031a0c614f62a6a7668602053eab0098233983",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-07-20T02:00:13Z",
"title_canon_sha256": "207f3271f76a7aab1a7e048b9fc12734a324bb411aab080843c856f0c4d68f56"
},
"schema_version": "1.0",
"source": {
"id": "2407.15878",
"kind": "arxiv",
"version": 1
}
}