Pith Number
pith:WQLPIH3A
pith:2016:WQLPIH3ASLLNGZOFFJKPM4PNN5
not attested
not anchored
not stored
refs pending
On the maximal use of Monte Carlo samples: re-weighting events at NLO accuracy
arxiv:1607.00763 v1 · 2016-07-04 · hep-ph · hep-ex
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WQLPIH3ASLLNGZOFFJKPM4PNN5}
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.
Cited by
Receipt and verification
| First computed | 2026-05-18T00:54:35.800955Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b416f41f6092d6d365c52a54f671ed6f51d3231ce852027eb891bfd30107642d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WQLPIH3ASLLNGZOFFJKPM4PNN5 \
| 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: b416f41f6092d6d365c52a54f671ed6f51d3231ce852027eb891bfd30107642d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f8370fcf095e1cbc6250c4a7e596ae7dc40bb87a03c0aafa7be5207fd69e6dde",
"cross_cats_sorted": [
"hep-ex"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "hep-ph",
"submitted_at": "2016-07-04T08:19:35Z",
"title_canon_sha256": "4eec8d21da070c3e7aa62060a17d7bfd0eb28c23bb7ca00cf6296b028e82845e"
},
"schema_version": "1.0",
"source": {
"id": "1607.00763",
"kind": "arxiv",
"version": 1
}
}