Pith Number
pith:4IBFRCRU
pith:2018:4IBFRCRUPHH5IHPUX37NP7ERAW
not attested
not anchored
not stored
refs pending
Real-world plant species identification based on deep convolutional neural networks and visual attention
arxiv:1804.03853 v4 · 2018-04-11 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4IBFRCRUPHH5IHPUX37NP7ERAW}
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
✓
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 | 2026-05-17T23:52:24.473771Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e202588a3479cfd41df4befed7fc9105be533b6a06fd81a34c4a8b7da4e8d0d7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4IBFRCRUPHH5IHPUX37NP7ERAW \
| 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: e202588a3479cfd41df4befed7fc9105be533b6a06fd81a34c4a8b7da4e8d0d7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4c3e9c41899d5ad6170e7a6db3494705d0b216eae8777d79858677e32bb963ef",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-04-11T07:51:59Z",
"title_canon_sha256": "f8cfeaddf94c39cebd62e1753e6b6f331cde1d22fa8d2afea4c1d45851729e1f"
},
"schema_version": "1.0",
"source": {
"id": "1804.03853",
"kind": "arxiv",
"version": 4
}
}