Pith Number
pith:WCQSFLPI
pith:2015:WCQSFLPIZ645P6E4VTE6JQVFZQ
not attested
not anchored
not stored
refs pending
Geodesic convolutional neural networks on Riemannian manifolds
arxiv:1501.06297 v3 · 2015-01-26 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WCQSFLPIZ645P6E4VTE6JQVFZQ}
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 | 2026-05-18T00:13:53.840884Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b0a122ade8cfb9d7f89cacc9e4c2a5cc009aff60fdf4313682f0eeef4854425d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WCQSFLPIZ645P6E4VTE6JQVFZQ \
| 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: b0a122ade8cfb9d7f89cacc9e4c2a5cc009aff60fdf4313682f0eeef4854425d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dbf4689f80e72daf6c2785979020f43dbeeb48a98e4cb5153270a90e5f75327a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2015-01-26T09:37:58Z",
"title_canon_sha256": "46ce4df7c6c3450c3b53d3122d15bfa112fce4b4b2bb5459e0be06089007532d"
},
"schema_version": "1.0",
"source": {
"id": "1501.06297",
"kind": "arxiv",
"version": 3
}
}