Pith Number
pith:H7UGXYWQ
pith:2019:H7UGXYWQTCSKZ6V22M3ATCU6TL
not attested
not anchored
not stored
refs pending
An Accurate and Transferable Machine-Learning Interatomic Potential for Silicon
arxiv:1901.01638 v1 · 2019-01-07 · cond-mat.mtrl-sci
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{H7UGXYWQTCSKZ6V22M3ATCU6TL}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
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 | 2026-05-17T23:56:51.571929Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3fe86be2d098a4acfabad336098a9e9acab2aa79e190ce82bf4feb18afe5d48f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/H7UGXYWQTCSKZ6V22M3ATCU6TL \
| 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: 3fe86be2d098a4acfabad336098a9e9acab2aa79e190ce82bf4feb18afe5d48f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d5b724199c9d2243acc70db5740728adb0f190e693bf9ed72de3986c6830f625",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cond-mat.mtrl-sci",
"submitted_at": "2019-01-07T01:28:58Z",
"title_canon_sha256": "dbc419e0368e6e47182199dc95af2ba916f31b50c08f1e4b734fef94dda6e08c"
},
"schema_version": "1.0",
"source": {
"id": "1901.01638",
"kind": "arxiv",
"version": 1
}
}