Pith Number
pith:6OVJULNJ
pith:2021:6OVJULNJLUW5OC7SY22TPT4Q36
not attested
not anchored
not stored
refs pending
An investigation of over-training within semi-supervised machine learning models in the search for heavy resonances at the LHC
arxiv:2109.07287 v1 · 2021-09-15 · hep-ex · hep-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6OVJULNJLUW5OC7SY22TPT4Q36}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T03:14:47.193010Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f3aa9a2da95d2dd70bf2c6b537cf90df820ecd1de5eeeb2f30504c52cfccaa46
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6OVJULNJLUW5OC7SY22TPT4Q36 \
| 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: f3aa9a2da95d2dd70bf2c6b537cf90df820ecd1de5eeeb2f30504c52cfccaa46
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cc06de1d1e7406069ee150806024adadee0e9d07307a30e134eb29f09d07c1c1",
"cross_cats_sorted": [
"hep-ph"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "hep-ex",
"submitted_at": "2021-09-15T13:30:32Z",
"title_canon_sha256": "626fcf1a1bf16f46d52e3851fa0f92c91ac83666574f414097443f6da20d4111"
},
"schema_version": "1.0",
"source": {
"id": "2109.07287",
"kind": "arxiv",
"version": 1
}
}