Pith Number
pith:CWNXX43V
pith:2025:CWNXX43VUSF3J2ET6FU4NKXB2A
not attested
not anchored
not stored
refs pending
Large Multi-modal Model Cartographic Map Comprehension for Textual Locality Georeferencing
arxiv:2507.08575 v1 · 2025-07-11 · cs.AI · cs.CL · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CWNXX43VUSF3J2ET6FU4NKXB2A}
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 | 2026-07-05T11:35:42.272714Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
159b7bf375a48bb4e893f169c6aae1d01372a70d5a4b7f8784adb59836d4bb16
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CWNXX43VUSF3J2ET6FU4NKXB2A \
| 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: 159b7bf375a48bb4e893f169c6aae1d01372a70d5a4b7f8784adb59836d4bb16
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "75f4c9a3d11e15ec5d1399ea7e309aba53f606db588a47c17c5951d66f507765",
"cross_cats_sorted": [
"cs.CL",
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-07-11T13:23:25Z",
"title_canon_sha256": "7e0d29b8279d1161e1305612602b08231149742a600da9f8cbb263121d7726cc"
},
"schema_version": "1.0",
"source": {
"id": "2507.08575",
"kind": "arxiv",
"version": 1
}
}