Pith Number
pith:O2OCHDWH
pith:2022:O2OCHDWHACWB5YBPBO3BO4LLOJ
not attested
not anchored
not stored
refs pending
Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial Predictions
arxiv:2201.10489 v1 · 2022-01-25 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{O2OCHDWHACWB5YBPBO3BO4LLOJ}
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 | 2026-07-05T03:51:19.800546Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
769c238ec700ac1ee02f0bb617716b7262b757236bab9ca4fec7c1b4259fb2e0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/O2OCHDWHACWB5YBPBO3BO4LLOJ \
| 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: 769c238ec700ac1ee02f0bb617716b7262b757236bab9ca4fec7c1b4259fb2e0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d7f31e644e333cabf96e296d1e0e013617acf93d267eb8276efbd97f26f418b0",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-01-25T17:34:29Z",
"title_canon_sha256": "eb2452447f1a685fb9232cab33813a821255a05393f269a70a043540c29f0b32"
},
"schema_version": "1.0",
"source": {
"id": "2201.10489",
"kind": "arxiv",
"version": 1
}
}