Pith Number
pith:L5DKJL5G
pith:2022:L5DKJL5GWWMI2R6XSCULH3JLBD
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Neural network analysis of neutron and X-ray reflectivity data: automated analysis using mlreflect, experimental errors and feature engineering
arxiv:2202.11609 v1 · 2022-02-23 · physics.data-an · cond-mat.soft
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{L5DKJL5GWWMI2R6XSCULH3JLBD}
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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 | 2026-07-05T03:59:35.007757Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5f46a4afa6b5988d47d790a8b3ed2b08f03e023bcd7019e24213af6db014e3cf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/L5DKJL5GWWMI2R6XSCULH3JLBD \
| 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: 5f46a4afa6b5988d47d790a8b3ed2b08f03e023bcd7019e24213af6db014e3cf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "11874dd7bd7b947af5f548e4c69bd558e80dedc88cf990a28f310a0cded03fff",
"cross_cats_sorted": [
"cond-mat.soft"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "physics.data-an",
"submitted_at": "2022-02-23T16:42:56Z",
"title_canon_sha256": "8a89d4a9ceb8800d64b9ce28eea16732c4916969634fcb32fcbefe9ec0da8fea"
},
"schema_version": "1.0",
"source": {
"id": "2202.11609",
"kind": "arxiv",
"version": 1
}
}