Pith Number
pith:FNP5OP4F
pith:2022:FNP5OP4FVV5WD2K3FDX2UOM7BK
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refs pending
An artificial neural network for surrogate modeling of stress fields in viscoplastic polycrystalline materials
arxiv:2208.13490 v1 · 2022-08-29 · cond-mat.mtrl-sci
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FNP5OP4FVV5WD2K3FDX2UOM7BK}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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4
Citations
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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.
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Receipt and verification
| First computed | 2026-07-05T04:52:17.579617Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2b5fd73f85ad7b61e95b28efaa399f0aad6317d7ee43a3686c6a0d112de13f4c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FNP5OP4FVV5WD2K3FDX2UOM7BK \
| 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: 2b5fd73f85ad7b61e95b28efaa399f0aad6317d7ee43a3686c6a0d112de13f4c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1c3333ea9aedcd7a6935f25a9c4ccc36e0f82d6f80946ed670b9b8fee60688aa",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cond-mat.mtrl-sci",
"submitted_at": "2022-08-29T10:47:55Z",
"title_canon_sha256": "99126528300329df944d61cc76d86db95d0b741fa530514054265c8c30654ade"
},
"schema_version": "1.0",
"source": {
"id": "2208.13490",
"kind": "arxiv",
"version": 1
}
}