Pith Number
pith:AFUCHZCG
pith:2025:AFUCHZCGGSH2GA3GXM4FH4OHMM
not attested
not anchored
not stored
refs pending
UrbanSense:A Framework for Quantitative Analysis of Urban Streetscapes leveraging Vision Large Language Models
arxiv:2506.10342 v2 · 2025-06-12 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AFUCHZCGGSH2GA3GXM4FH4OHMM}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:48:04.578273Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
016823e446348fa30366bb3853f1c76315f91a94e34e897c485d861a058fc9dd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AFUCHZCGGSH2GA3GXM4FH4OHMM \
| 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: 016823e446348fa30366bb3853f1c76315f91a94e34e897c485d861a058fc9dd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "131081994f3f23ff59ffe60e828a7e2b158b681ccddf92b497b4390e35f47598",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-06-12T04:35:39Z",
"title_canon_sha256": "808e80bee2d0f37fea6539bbb23fddab82e5e72bc9e6d326590d6ef39e4b4658"
},
"schema_version": "1.0",
"source": {
"id": "2506.10342",
"kind": "arxiv",
"version": 2
}
}