Pith Number
pith:B2YVDVAC
pith:2018:B2YVDVACUJW2LKOWCCJ5ILER5E
not attested
not anchored
not stored
refs pending
Forecasting solar radiation during dust storms using deep learning
arxiv:1808.10854 v1 · 2018-08-25 · physics.ao-ph · physics.data-an
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B2YVDVACUJW2LKOWCCJ5ILER5E}
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.
Receipt and verification
| First computed | 2026-05-18T00:06:44.459433Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0eb151d402a26da5a9d61093d42c91e91faf4eca53f3a1a677cd4858274db38e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B2YVDVACUJW2LKOWCCJ5ILER5E \
| 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: 0eb151d402a26da5a9d61093d42c91e91faf4eca53f3a1a677cd4858274db38e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4789539df1585049207824dcb447789509a95e1551db5fe861c61493d6c65e1c",
"cross_cats_sorted": [
"physics.data-an"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.ao-ph",
"submitted_at": "2018-08-25T02:35:47Z",
"title_canon_sha256": "aec20c025c957562237f423063db2c3305094e2bca238d9d1509988247ec6b32"
},
"schema_version": "1.0",
"source": {
"id": "1808.10854",
"kind": "arxiv",
"version": 1
}
}