Pith Number
pith:2YNWR2OJ
pith:2022:2YNWR2OJJLKGF52UPJAYBC6HBK
not attested
not anchored
not stored
refs pending
Using Machine Learning Hamiltonians To Compute Molecular Motor Barrier Heights
arxiv:2211.07181 v1 · 2022-11-14 · physics.chem-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2YNWR2OJJLKGF52UPJAYBC6HBK}
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 | 2026-07-05T05:15:50.632595Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d61b68e9c94ad462f7547a41808bc70a8ee6ce007390ce25000a6f913074a4f3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2YNWR2OJJLKGF52UPJAYBC6HBK \
| 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: d61b68e9c94ad462f7547a41808bc70a8ee6ce007390ce25000a6f913074a4f3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f93e8a9598979390a7ec1d1e8c0cb9997b735faacc0403a01f34dbe57d9faaeb",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.chem-ph",
"submitted_at": "2022-11-14T08:18:18Z",
"title_canon_sha256": "107b25a6aee65f5475bb6890a97cbcd9cfe04f813e0fed495dff698aa6af3bb2"
},
"schema_version": "1.0",
"source": {
"id": "2211.07181",
"kind": "arxiv",
"version": 1
}
}