Pith Number
pith:YSVRGOSP
pith:2024:YSVRGOSP4B2PRDQFUV2JCUHGCX
not attested
not anchored
not stored
refs pending
Classifying geospatial objects from multiview aerial imagery using semantic meshes
arxiv:2405.09544 v1 · 2024-05-15 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YSVRGOSP4B2PRDQFUV2JCUHGCX}
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 | 2026-07-05T08:19:31.730618Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c4ab133a4fe074f88e05a5749150e615fdf714ddbeb9e6c5db9cdfa4738481ca
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YSVRGOSP4B2PRDQFUV2JCUHGCX \
| 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: c4ab133a4fe074f88e05a5749150e615fdf714ddbeb9e6c5db9cdfa4738481ca
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8a441736cb3728f7f003351913226da1f198439ed2f811a6d1d58373932265b2",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-05-15T17:56:49Z",
"title_canon_sha256": "fecff7ac11a66f67585d5e69ac9d6e6a283fc48efb74a32a917b5b3a61640d8a"
},
"schema_version": "1.0",
"source": {
"id": "2405.09544",
"kind": "arxiv",
"version": 1
}
}