Pith Number
pith:55MQW36S
pith:2022:55MQW36SJ3MB3FKENOS3LO5UCB
not attested
not anchored
not stored
refs pending
Do graph neural networks learn traditional jet substructure?
arxiv:2211.09912 v1 · 2022-11-17 · hep-ex · cs.LG · hep-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{55MQW36SJ3MB3FKENOS3LO5UCB}
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 | 2026-07-05T05:17:15.502174Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ef590b6fd24ed81d95446ba5b5bbb4105be2c6f899d3193f57a72a71d41d624f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/55MQW36SJ3MB3FKENOS3LO5UCB \
| 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: ef590b6fd24ed81d95446ba5b5bbb4105be2c6f899d3193f57a72a71d41d624f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9856c2752fdfbe80416f8855019af67a93ef60f6a119935503a00ca82134351c",
"cross_cats_sorted": [
"cs.LG",
"hep-ph"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "hep-ex",
"submitted_at": "2022-11-17T22:08:10Z",
"title_canon_sha256": "b6165dd62b634d716fab069892254bbc6d74cfbd64139a5ecaca2ec536d912e8"
},
"schema_version": "1.0",
"source": {
"id": "2211.09912",
"kind": "arxiv",
"version": 1
}
}