Pith Number
pith:FR6EUM7D
pith:2026:FR6EUM7D7DBXPB7N2ESSIBDECK
not attested
not anchored
not stored
refs pending
Watershed vs. Region Growing for Individual Tree Segmentation from Airborne LiDAR: An Urban Case Study in Bologna
arxiv:2607.27018 v1 · 2026-07-29 · physics.app-ph · physics.data-an
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FR6EUM7D7DBXPB7N2ESSIBDECK}
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 | 2026-07-30T01:23:21.325273Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | unsigned_v0 |
| Schema | pith-number/v1.0 |
Canonical hash
2c7c4a33e3f8c37787edd12524046412b99cf436b6af0cadab77bc189339133d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FR6EUM7D7DBXPB7N2ESSIBDECK \
| 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: 2c7c4a33e3f8c37787edd12524046412b99cf436b6af0cadab77bc189339133d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1a1177bcf274213dc8118ec2e7e029553e84f6659b9ab85681c98446e3f990bb",
"cross_cats_sorted": [
"physics.data-an"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "physics.app-ph",
"submitted_at": "2026-07-29T15:15:45Z",
"title_canon_sha256": "d7c13392f991997d1a20570e714e31c61e33b046c6eb68af9e56a4e8c3d551c0"
},
"schema_version": "1.0",
"source": {
"id": "2607.27018",
"kind": "arxiv",
"version": 1
}
}