Pith Number
pith:EBBR7V3O
pith:2026:EBBR7V3OQBKI5KPMQSVBSE5PAS
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A convolutional neural network surrogate for hierarchical homogenization: fast elastic moduli prediction of digital rocks
arxiv:2606.25275 v1 · 2026-06-24 · physics.comp-ph · cond-mat.mtrl-sci · physics.geo-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EBBR7V3OQBKI5KPMQSVBSE5PAS}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-06-25T01:18:00.616357Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
20431fd76e80548ea9ec84aa1913af04b8f022788be117fe91045d6e13910dfe
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EBBR7V3OQBKI5KPMQSVBSE5PAS \
| 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: 20431fd76e80548ea9ec84aa1913af04b8f022788be117fe91045d6e13910dfe
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f00f681ac885eaa06dfd8d56c7a7f1c1fe66190065fdb63dfebd3e5c634148c8",
"cross_cats_sorted": [
"cond-mat.mtrl-sci",
"physics.geo-ph"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "physics.comp-ph",
"submitted_at": "2026-06-24T01:16:40Z",
"title_canon_sha256": "14b339b608ad37fa76127dd8e3439b54b9a4dbab014708b13945dbd61e23142b"
},
"schema_version": "1.0",
"source": {
"id": "2606.25275",
"kind": "arxiv",
"version": 1
}
}