Pith Number
pith:HRW6WYUZ
pith:2024:HRW6WYUZZQ5CDZ6DXBME74THDV
not attested
not anchored
not stored
refs pending
SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data
arxiv:2401.15739 v1 · 2024-01-28 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HRW6WYUZZQ5CDZ6DXBME74THDV}
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
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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 | 2026-07-05T09:54:00.921674Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3c6deb6299cc3a21e7c3b8584ff2671d75ac825c5e387ddc7c23fa599c323590
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HRW6WYUZZQ5CDZ6DXBME74THDV \
| 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: 3c6deb6299cc3a21e7c3b8584ff2671d75ac825c5e387ddc7c23fa599c323590
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d21ea55af95e89aa83a28e9622c9b580d847b8fd61a1033063b3238ce79faab7",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-01-28T19:47:17Z",
"title_canon_sha256": "f2409bc55ba142bff59100b6f36290d4bb976f4b38a8e1dda18347bee892aabd"
},
"schema_version": "1.0",
"source": {
"id": "2401.15739",
"kind": "arxiv",
"version": 1
}
}