Pith Number
pith:VXG62TQL
pith:2018:VXG62TQLBHPC543J5MZZUK7AE3
not attested
not anchored
not stored
refs pending
Constructing an efficient machine learning model for tornado prediction
arxiv:1806.05857 v1 · 2018-06-15 · physics.ao-ph · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VXG62TQLBHPC543J5MZZUK7AE3}
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
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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.
Receipt and verification
| First computed | 2026-05-18T00:13:09.232632Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
adcded4e0b09de2ef369eb339a2be026cdabf43a5a2d3b5c41f40e359ea0668e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VXG62TQLBHPC543J5MZZUK7AE3 \
| 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: adcded4e0b09de2ef369eb339a2be026cdabf43a5a2d3b5c41f40e359ea0668e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e8a56e039d38a2bdc3719ce371710d8db701451cb9ab4b8cac4ef331bb1c9827",
"cross_cats_sorted": [
"math.OC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.ao-ph",
"submitted_at": "2018-06-15T08:40:31Z",
"title_canon_sha256": "d4b15dfbe90148c86e8d83472028b5d6a6750df429d6cccc112d28932243084c"
},
"schema_version": "1.0",
"source": {
"id": "1806.05857",
"kind": "arxiv",
"version": 1
}
}