Pith Number
pith:5TL6CZBH
pith:2025:5TL6CZBHOT2ZARFZH7FWMSRLCT
not attested
not anchored
not stored
refs pending
Input convex neural networks: universal approximation theorem and implementation for isotropic polyconvex hyperelastic energies
arxiv:2502.08534 v1 · 2025-02-12 · cs.CE · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5TL6CZBHOT2ZARFZH7FWMSRLCT}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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.
Cited by
Receipt and verification
| First computed | 2026-05-20T00:05:27.094091Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ecd7e1642774f59044b93fcb664a2b14f454a32932e07bfda1f0eb5a84b36bbb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5TL6CZBHOT2ZARFZH7FWMSRLCT \
| 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: ecd7e1642774f59044b93fcb664a2b14f454a32932e07bfda1f0eb5a84b36bbb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f0839a51300fcd36662bddd9fa8b2eab23f9e4867ce3d99b33c81e954e92516b",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CE",
"submitted_at": "2025-02-12T16:15:03Z",
"title_canon_sha256": "1ee3f10400734bbc3baac71e2adc7ff1baf6bed5387eb5a6e6e9c61e07a5cc57"
},
"schema_version": "1.0",
"source": {
"id": "2502.08534",
"kind": "arxiv",
"version": 1
}
}