Pith Number
pith:G2OLZOGA
pith:2024:G2OLZOGAWIGWWI7Q5DFSJNONFE
not attested
not anchored
not stored
refs pending
Enhancing GeoAI and location encoding with spatial point pattern statistics: A Case Study of Terrain Feature Classification
arxiv:2411.14560 v1 · 2024-11-21 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{G2OLZOGAWIGWWI7Q5DFSJNONFE}
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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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 | 2026-07-05T09:38:53.184103Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
369cbcb8c0b20d6b23f0e8cb24b5cd2926f8f50d6ddb5d8cb9788a80dcc6134d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/G2OLZOGAWIGWWI7Q5DFSJNONFE \
| 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: 369cbcb8c0b20d6b23f0e8cb24b5cd2926f8f50d6ddb5d8cb9788a80dcc6134d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ebf55fcb0a3497555504736ce1379356578ac432a60823afb2f318496215ca14",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-11-21T20:17:41Z",
"title_canon_sha256": "d87c638af9bfa025255fd766b0b42ba3bd0662e957287dca08dd579338ea7258"
},
"schema_version": "1.0",
"source": {
"id": "2411.14560",
"kind": "arxiv",
"version": 1
}
}