Pith Number
pith:2BWHRVYR
pith:2024:2BWHRVYRGDPVO6VMFGNXIXXUV6
not attested
not anchored
not stored
refs pending
Grapevine Disease Prediction Using Climate Variables from Multi-Sensor Remote Sensing Imagery via a Transformer Model
arxiv:2406.07094 v1 · 2024-06-11 · cs.IR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2BWHRVYRGDPVO6VMFGNXIXXUV6}
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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claim
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:30:18.334171Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d06c78d71130df577aac299b745ef4af99df20e7b69afda6b4eff73fe943c223
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2BWHRVYRGDPVO6VMFGNXIXXUV6 \
| 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: d06c78d71130df577aac299b745ef4af99df20e7b69afda6b4eff73fe943c223
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8f14aff1a1774e2c363438eca538777a757de188c14a7e9ba6d02334e6c5ad10",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.IR",
"submitted_at": "2024-06-11T09:33:15Z",
"title_canon_sha256": "473f1529e12f3b13d01533f4f50807a308c616d0155e4ac5504866ef1cfd9a5d"
},
"schema_version": "1.0",
"source": {
"id": "2406.07094",
"kind": "arxiv",
"version": 1
}
}