Pith Number
pith:K2NMHDOI
pith:2024:K2NMHDOIFMZLMDO2C6ZLG4PCE6
not attested
not anchored
not stored
refs pending
NeuroNURBS: Learning Efficient Surface Representations for 3D Solids
arxiv:2411.10848 v1 · 2024-11-16 · cs.CV · cs.CE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{K2NMHDOIFMZLMDO2C6ZLG4PCE6}
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 | 2026-07-05T09:36:23.503129Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
569ac38dc82b32b60dda17b2b371e227b1c114551dcf66cad442539b2549c915
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K2NMHDOIFMZLMDO2C6ZLG4PCE6 \
| 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: 569ac38dc82b32b60dda17b2b371e227b1c114551dcf66cad442539b2549c915
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8d6d730147adaeb46a90b5bfedec9653048af362557074590dc34e2bdf8db2be",
"cross_cats_sorted": [
"cs.CE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-11-16T17:44:43Z",
"title_canon_sha256": "2a1a7197b71136c8c0e1d785f980393b8cb4057ee7f8957acc8a25b702270dd2"
},
"schema_version": "1.0",
"source": {
"id": "2411.10848",
"kind": "arxiv",
"version": 1
}
}