Pith Number
pith:236LBEAQ
pith:2025:236LBEAQLLL6NEVJ3J6D7WW7KS
not attested
not anchored
not stored
refs pending
Crop Pest Classification Using Deep Learning Techniques: A Review
arxiv:2507.01494 v3 · 2025-07-02 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{236LBEAQLLL6NEVJ3J6D7WW7KS}
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 | 2026-07-05T11:50:38.080177Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d6fcb090105ad7e692a9da7c3fdadf54acfb961077699a7749a95a284cdbc6a5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/236LBEAQLLL6NEVJ3J6D7WW7KS \
| 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: d6fcb090105ad7e692a9da7c3fdadf54acfb961077699a7749a95a284cdbc6a5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ffe5120f384a0e3791fa7efd7fb0e6609c6ada155e00f638359e055196586317",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-07-02T08:52:35Z",
"title_canon_sha256": "fb6ecf1ccd6054f123950d262ead1b9ad1d8210adb80eddb2afd87a484763528"
},
"schema_version": "1.0",
"source": {
"id": "2507.01494",
"kind": "arxiv",
"version": 3
}
}