Pith Number
pith:HHL62PN5
pith:2018:HHL62PN5QZWY4ZGJUXAXWKAPPO
not attested
not anchored
not stored
refs pending
Assessing a mobile-based deep learning model for plant disease surveillance
arxiv:1805.08692 v1 · 2018-05-04 · cs.CV · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HHL62PN5QZWY4ZGJUXAXWKAPPO}
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 | 2026-05-18T00:15:25.348646Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
39d7ed3dbd866d8e64c9a5c17b280f7bb2621224738126b3a070788a5adf48a9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HHL62PN5QZWY4ZGJUXAXWKAPPO \
| 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: 39d7ed3dbd866d8e64c9a5c17b280f7bb2621224738126b3a070788a5adf48a9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "04d0cb26c1d00fa20b2105e7bee6c5d6be96ff1b5787843f760e8309fd411ccb",
"cross_cats_sorted": [
"cs.CY"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-05-04T15:07:29Z",
"title_canon_sha256": "e4d81f15cc6389d5371aae91d8fe0d5648989f6076b81532f3f9a187742ea8cf"
},
"schema_version": "1.0",
"source": {
"id": "1805.08692",
"kind": "arxiv",
"version": 1
}
}