Pith Number
pith:6CDPDPZ7
pith:2022:6CDPDPZ72O2JBXULDCFILGYHJZ
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refs pending
Machine learning based approach for solving atomic structures of nanomaterials combining pair distribution functions with density functional theory
arxiv:2209.01358 v2 · 2022-09-03 · cond-mat.mtrl-sci
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6CDPDPZ72O2JBXULDCFILGYHJZ}
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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.
Receipt and verification
| First computed | 2026-07-05T11:35:09.084844Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f086f1bf3fd3b490de8b188a859b074e4f35fdd61c5b31afcc2ce19ef9d0a58d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6CDPDPZ72O2JBXULDCFILGYHJZ \
| 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: f086f1bf3fd3b490de8b188a859b074e4f35fdd61c5b31afcc2ce19ef9d0a58d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "52975d21d08c6cda8b88e0ff17cbfa6dd9509d4d8ee86610a69941c075f78dbb",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cond-mat.mtrl-sci",
"submitted_at": "2022-09-03T08:07:02Z",
"title_canon_sha256": "d26acb744b108069979acccc64441cab792884cbe6863775247fc6935742a554"
},
"schema_version": "1.0",
"source": {
"id": "2209.01358",
"kind": "arxiv",
"version": 2
}
}