Pith Number
pith:BFRZ27W4
pith:2021:BFRZ27W4VFJ6LODUDSCIPMISJY
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Convolutional neural network-assisted recognition of nanoscale L12 ordered structures in face-centred cubic alloys
arxiv:2102.11024 v1 · 2021-02-16 · cond-mat.mtrl-sci · physics.data-an
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BFRZ27W4VFJ6LODUDSCIPMISJY}
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Record completeness
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Bitcoin timestamp
2
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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.
Receipt and verification
| First computed | 2026-07-05T02:17:03.813575Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
09639d7edca953e5b8741c8487b1124e05cd50267acb29e2bb5b4733b9c541d7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BFRZ27W4VFJ6LODUDSCIPMISJY \
| 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: 09639d7edca953e5b8741c8487b1124e05cd50267acb29e2bb5b4733b9c541d7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "545bc9aee32dd8eaa343b8d096f740d1fe8a7149bb2fae61153a53849cf538cf",
"cross_cats_sorted": [
"physics.data-an"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cond-mat.mtrl-sci",
"submitted_at": "2021-02-16T09:41:50Z",
"title_canon_sha256": "80e383b3943f8c4f12dc0dd0d08c8c381b6dd1881a8a1b09089fb6605287c42d"
},
"schema_version": "1.0",
"source": {
"id": "2102.11024",
"kind": "arxiv",
"version": 1
}
}