Pith Number
pith:ZWPKJFVJ
pith:2023:ZWPKJFVJNNAOO5JO44F7RFT3WI
not attested
not anchored
not stored
refs pending
Lidar-based Norwegian tree species detection using deep learning
arxiv:2311.06066 v1 · 2023-11-10 · cs.CV · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZWPKJFVJNNAOO5JO44F7RFT3WI}
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 | 2026-07-05T08:15:41.739924Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cd9ea496a96b40e7752ee70bf8967bb22fdc4807df04efa23eb199abb021c5c8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZWPKJFVJNNAOO5JO44F7RFT3WI \
| 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: cd9ea496a96b40e7752ee70bf8967bb22fdc4807df04efa23eb199abb021c5c8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "43677a21e48606ddb67e89ea41307ddce0d8940de5f7d200bce0265290203c88",
"cross_cats_sorted": [
"eess.IV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-11-10T14:01:05Z",
"title_canon_sha256": "f318c2c459993be970286704f9d6328d4c5c3905ecdacd66275efbbf4d3e36fc"
},
"schema_version": "1.0",
"source": {
"id": "2311.06066",
"kind": "arxiv",
"version": 1
}
}