Pith Number
pith:GBIVOEUW
pith:2026:GBIVOEUW3F5MKGJR2IMOY2HHNX
not attested
not anchored
not stored
refs pending
FLORA: A deep learning approach to predict forest attributes from heterogeneous LiDAR data
arxiv:2606.32023 v1 · 2026-06-30 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GBIVOEUW3F5MKGJR2IMOY2HHNX}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
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4
Citations
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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.
Receipt and verification
| First computed | 2026-07-01T02:17:47.554265Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3051571296d97ac51931d218ec68e76dc0d73da6b5d7cdff7c7a1d2e329e58dd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GBIVOEUW3F5MKGJR2IMOY2HHNX \
| 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: 3051571296d97ac51931d218ec68e76dc0d73da6b5d7cdff7c7a1d2e329e58dd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c6d0fc6f250ed5f8dbb667874ee41aa52f6c0879e88f41081dc15e07392aeb5f",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-06-30T17:52:28Z",
"title_canon_sha256": "08613decd66f9f7c656b642ed6eefcc543a43f7c0cb5fda4338c42b911e032fd"
},
"schema_version": "1.0",
"source": {
"id": "2606.32023",
"kind": "arxiv",
"version": 1
}
}