Pith Number
pith:PDYMNSE4
pith:2025:PDYMNSE4LOD7TRBP5X7N2ALTFB
not attested
not anchored
not stored
refs pending
Analysis of Plant Nutrient Deficiencies Using Multi-Spectral Imaging and Optimized Segmentation Model
arxiv:2507.14013 v1 · 2025-07-18 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PDYMNSE4LOD7TRBP5X7N2ALTFB}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T11:39:26.950056Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
78f0c6c89c5b87f9c42fedfedd017328561d2c0d3c2bdb626a36e56c7fab077f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PDYMNSE4LOD7TRBP5X7N2ALTFB \
| 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: 78f0c6c89c5b87f9c42fedfedd017328561d2c0d3c2bdb626a36e56c7fab077f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9938babfd37ccb4ab44083d04e89af4b23a14b0c1037e01ebea1cfdbdabeaff2",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-07-18T15:25:36Z",
"title_canon_sha256": "54813e8b14e5dbf7f6d81d85451abdca7891a65c58c20322d63bc29c23042b1e"
},
"schema_version": "1.0",
"source": {
"id": "2507.14013",
"kind": "arxiv",
"version": 1
}
}