Pith Number
pith:5NG6TWDV
pith:2020:5NG6TWDV2HH2DRLMSUCL3CIBDU
not attested
not anchored
not stored
refs pending
Neural Network-based Top Tagger with Two-Point Energy Correlations and Geometry of Soft Emissions
arxiv:2003.11787 v2 · 2020-03-26 · hep-ph · hep-ex
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5NG6TWDV2HH2DRLMSUCL3CIBDU}
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 | 2026-07-05T01:28:19.479733Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
eb4de9d875d1cfa1c56c9504bd89011d127408b6626e96255d8f6336b9779085
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5NG6TWDV2HH2DRLMSUCL3CIBDU \
| 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: eb4de9d875d1cfa1c56c9504bd89011d127408b6626e96255d8f6336b9779085
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7d9c54cf0cd2e996b8a251779393cd187351304ed088f90a10e06e1cc1b305cb",
"cross_cats_sorted": [
"hep-ex"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "hep-ph",
"submitted_at": "2020-03-26T08:14:19Z",
"title_canon_sha256": "a6d85774a66a676cff7afbd7cff4aa8c94670dc2b839f874b877e60d3d74f5b0"
},
"schema_version": "1.0",
"source": {
"id": "2003.11787",
"kind": "arxiv",
"version": 2
}
}