Pith Number
pith:EO7VNAVP
pith:2020:EO7VNAVPA3QLOUH7OWTYZF2LZI
not attested
not anchored
not stored
refs pending
Geometric deep learning for computational mechanics Part I: Anisotropic Hyperelasticity
arxiv:2001.04292 v1 · 2020-01-08 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EO7VNAVPA3QLOUH7OWTYZF2LZI}
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
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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 | 2026-07-05T01:41:29.740337Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
23bf5682af06e0b750ff75a78c974bca32f5d299bf75f0046a84c9943cb1b153
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EO7VNAVPA3QLOUH7OWTYZF2LZI \
| 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: 23bf5682af06e0b750ff75a78c974bca32f5d299bf75f0046a84c9943cb1b153
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bd16597eac17e1fbd4361225e1eb49da4b15bf800d4a5c2a272f9017b0b0a70e",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-01-08T02:07:39Z",
"title_canon_sha256": "d69db243a107edd91fa3a836f682ebc6bf0c65ae27ec3750b46bc5d9146c5439"
},
"schema_version": "1.0",
"source": {
"id": "2001.04292",
"kind": "arxiv",
"version": 1
}
}