Pith Number
pith:QBPNNPIL
pith:2022:QBPNNPILCF2J4DJEU6MNMAD7QB
not attested
not anchored
not stored
refs pending
A deep learning energy method for hyperelasticity and viscoelasticity
arxiv:2201.08690 v1 · 2022-01-15 · cs.LG · cs.NA · math.NA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QBPNNPILCF2J4DJEU6MNMAD7QB}
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 | 2026-07-05T04:20:18.329182Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
805ed6bd0b11749e0d24a798d6007f807972c04f5f71319efce1296489689441
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QBPNNPILCF2J4DJEU6MNMAD7QB \
| 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: 805ed6bd0b11749e0d24a798d6007f807972c04f5f71319efce1296489689441
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e0720cf0cf0fc1e66c99212ccc232fd6b6e84e40d1985889e923b750a36e402d",
"cross_cats_sorted": [
"cs.NA",
"math.NA"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-01-15T05:52:38Z",
"title_canon_sha256": "c157b09bf0d94ff6088ed4cd4a5fdd6e49bd43ff4db0d7d4a02f3ac70975baff"
},
"schema_version": "1.0",
"source": {
"id": "2201.08690",
"kind": "arxiv",
"version": 1
}
}