Pith Number
pith:XY2475OM
pith:2025:XY2475OMU4QQMYQVXYGABM7AVP
not attested
not anchored
not stored
refs pending
Urban Safety Perception Through the Lens of Large Multimodal Models: A Persona-based Approach
arxiv:2503.00610 v1 · 2025-03-01 · cs.CY · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XY2475OMU4QQMYQVXYGABM7AVP}
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
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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 | 2026-07-05T10:22:25.974169Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
be35cff5cca721066215be0c00b3e0abe426f29855a40f38d70f1bca7615a07e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XY2475OMU4QQMYQVXYGABM7AVP \
| 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: be35cff5cca721066215be0c00b3e0abe426f29855a40f38d70f1bca7615a07e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "523f6dda4bc53de38e04b141b000496fdb93895f17d58c936714c83c5924df9b",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CY",
"submitted_at": "2025-03-01T20:34:30Z",
"title_canon_sha256": "d52396de81e8c7afbabf6dabbe38f05e6edda6c19b6cc539a38923e037712570"
},
"schema_version": "1.0",
"source": {
"id": "2503.00610",
"kind": "arxiv",
"version": 1
}
}