Pith Number
pith:JI6WN6T5
pith:2026:JI6WN6T5WVXWDESSVXJOAVMIK4
not attested
not anchored
not stored
refs pending
Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction
arxiv:2608.01202 v1 · 2026-08-02 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JI6WN6T5WVXWDESSVXJOAVMIK4}
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.
Receipt and verification
| First computed | 2026-08-04T02:01:55.723091Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4a3d66fa7db56f619252add2e05588572906d006c8a06c41c2a51c97755f256a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JI6WN6T5WVXWDESSVXJOAVMIK4 \
| 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: 4a3d66fa7db56f619252add2e05588572906d006c8a06c41c2a51c97755f256a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6d433ef308123b5dc8ad1d2ae4086959569f835c3f8255446dea08a1e57ab4c1",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-08-02T12:37:38Z",
"title_canon_sha256": "f1c07d80df6c26beb04a20c80c0105693946b6cd18bd7599e61d1c649f97d4ae"
},
"schema_version": "1.0",
"source": {
"id": "2608.01202",
"kind": "arxiv",
"version": 1
}
}