Pith Number
pith:YX3VPX4U
pith:2026:YX3VPX4ULMOMBAH6U362GPMQTY
not attested
not anchored
not stored
refs pending
Machine Learning Surrogate Modeling for Homogenization of Hyperelastic Materials with Boolean Microstructures
arxiv:2606.00938 v1 · 2026-05-31 · cs.CE · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YX3VPX4ULMOMBAH6U362GPMQTY}
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.
Receipt and verification
| First computed | 2026-06-02T01:04:09.910647Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c5f757df945b1cc080fea6fda33d909e0a8184340df1a8207991b7f2dd9b8d3d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YX3VPX4ULMOMBAH6U362GPMQTY \
| 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: c5f757df945b1cc080fea6fda33d909e0a8184340df1a8207991b7f2dd9b8d3d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "21dd35c92132982ff0310a0401a177c93543950a4575d0900b3ad8a160dc6819",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CE",
"submitted_at": "2026-05-31T00:51:52Z",
"title_canon_sha256": "80131c2e92230d729b77672452daa15e7e8ac139cfe687d28df50a5e03817d3d"
},
"schema_version": "1.0",
"source": {
"id": "2606.00938",
"kind": "arxiv",
"version": 1
}
}