Pith Number
pith:I3FGM5C3
pith:2018:I3FGM5C37LT4XMMGY725BYF7AS
not attested
not anchored
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refs pending
Inclusion of machine learning kernel ridge regression potential energy surfaces in on-the-fly nonadiabatic molecular dynamics simulation
arxiv:1803.01556 v4 · 2018-03-05 · physics.chem-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{I3FGM5C37LT4XMMGY725BYF7AS}
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
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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 | 2026-05-18T00:16:19.206619Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
46ca66745bfae7cbb186c7f5d0e0bf048be002d8913403efa9a976082b9cc87b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/I3FGM5C37LT4XMMGY725BYF7AS \
| 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: 46ca66745bfae7cbb186c7f5d0e0bf048be002d8913403efa9a976082b9cc87b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8104d59bc8839415bc7039d6275cf787a33084faa86ceb478ddc9e681b2d4844",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.chem-ph",
"submitted_at": "2018-03-05T08:30:06Z",
"title_canon_sha256": "fdfad717fb5f4654b61351048ef0014a4a2e18ddf124199e6c7ffd3cfd663c02"
},
"schema_version": "1.0",
"source": {
"id": "1803.01556",
"kind": "arxiv",
"version": 4
}
}