Pith Number
pith:YH2B7R62
pith:2021:YH2B7R62ESXIYLCSE5ZPRZFIHZ
not attested
not anchored
not stored
refs pending
OrbNet Denali: A machine learning potential for biological and organic chemistry with semi-empirical cost and DFT accuracy
arxiv:2107.00299 v2 · 2021-07-01 · physics.chem-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YH2B7R62ESXIYLCSE5ZPRZFIHZ}
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 | 2026-07-05T03:40:39.446086Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c1f41fc7da24ae8c2c522772f8e4a83e51a129d635dd5e63f86e3232239b9618
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YH2B7R62ESXIYLCSE5ZPRZFIHZ \
| 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: c1f41fc7da24ae8c2c522772f8e4a83e51a129d635dd5e63f86e3232239b9618
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "93f9ce764b979bc30610bd63103cbf58f58584467bc6f7c76377e365bdb03667",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "physics.chem-ph",
"submitted_at": "2021-07-01T08:37:23Z",
"title_canon_sha256": "4353b3d949e28d41625b86369d25b09cb9e741363c332d3db6c752c1d9e23a1c"
},
"schema_version": "1.0",
"source": {
"id": "2107.00299",
"kind": "arxiv",
"version": 2
}
}