Pith Number
pith:TRE7ZFWI
pith:2023:TRE7ZFWIB2LM65SRHGINYAAV67
not attested
not anchored
not stored
refs pending
Predicting the Fracture Propensity of Amorphous Silica Using Molecular Dynamics Simulations and Machine Learning
arxiv:2304.06800 v1 · 2023-04-13 · cond-mat.mes-hall · cond-mat.mtrl-sci
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TRE7ZFWIB2LM65SRHGINYAAV67}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
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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 | 2026-07-05T06:01:02.087423Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9c49fc96c80e96cf76513990dc0015f7c3ca1745c4fa6f489c582fc15860ee80
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TRE7ZFWIB2LM65SRHGINYAAV67 \
| 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: 9c49fc96c80e96cf76513990dc0015f7c3ca1745c4fa6f489c582fc15860ee80
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f4fab921144ad1603d0c328cd0bff36a8b8a68981554f635ebfb02c71bd70525",
"cross_cats_sorted": [
"cond-mat.mtrl-sci"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cond-mat.mes-hall",
"submitted_at": "2023-04-13T19:56:02Z",
"title_canon_sha256": "0639090a8dd01093de4f9fe8c746534c964ff955a6c47e91cf7a79bcc4703712"
},
"schema_version": "1.0",
"source": {
"id": "2304.06800",
"kind": "arxiv",
"version": 1
}
}