Pith Number
pith:WJ6YS7NO
pith:2025:WJ6YS7NOPNTMPBRQAM2QX3YHKJ
not attested
not anchored
not stored
refs pending
Plant Disease Detection through Multimodal Large Language Models and Convolutional Neural Networks
arxiv:2504.20419 v1 · 2025-04-29 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WJ6YS7NOPNTMPBRQAM2QX3YHKJ}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:55:42.152945Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b27d897dae7b66c7863003350bef07525bbacb21d5596f225489a685c8a03172
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WJ6YS7NOPNTMPBRQAM2QX3YHKJ \
| 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: b27d897dae7b66c7863003350bef07525bbacb21d5596f225489a685c8a03172
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8d580046153b6696d9f5a967117d3ecfaf8554e2d5999f1c344b6f0c785d9b89",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-04-29T04:31:58Z",
"title_canon_sha256": "bd78d062f297a9848c9cda0cae1069593d06860e24561e36031c98e52627b470"
},
"schema_version": "1.0",
"source": {
"id": "2504.20419",
"kind": "arxiv",
"version": 1
}
}