Pith Number
pith:2765LF5D
pith:2019:2765LF5D2OF6GLE3TPJXRXIOXU
not attested
not anchored
not stored
refs pending
Aerial hyperspectral imagery and deep neural networks for high-throughput yield phenotyping in wheat
arxiv:1906.09666 v1 · 2019-06-23 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2765LF5D2OF6GLE3TPJXRXIOXU}
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
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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 | 2026-05-17T23:42:37.151822Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d7fdd597a3d38be32c9b9bd378dd0ebd211ea724ae8b8af1a8b3b1440bbae109
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2765LF5D2OF6GLE3TPJXRXIOXU \
| 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: d7fdd597a3d38be32c9b9bd378dd0ebd211ea724ae8b8af1a8b3b1440bbae109
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2be1729b0136dc08d86e3b85ccf51de2d8b4c690635235d682d929d07667a735",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-06-23T22:48:08Z",
"title_canon_sha256": "7ae469025881b880156ddca0b6e1a0ebcd17896a48495537317a7928d23e2274"
},
"schema_version": "1.0",
"source": {
"id": "1906.09666",
"kind": "arxiv",
"version": 1
}
}