Pith Number
pith:BQKNREG7
pith:2021:BQKNREG7AN5B4NWCHGYLNMEZ5R
not attested
not anchored
not stored
refs pending
Classifying near-threshold enhancement using deep neural network
arxiv:2106.03453 v1 · 2021-06-07 · hep-ph · hep-ex · nucl-th
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BQKNREG7AN5B4NWCHGYLNMEZ5R}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T02:58:42.914528Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0c14d890df037a1e36c239b0b6b099ec488a23dddc4f4ebdb28d01fc84baf4c0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BQKNREG7AN5B4NWCHGYLNMEZ5R \
| 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: 0c14d890df037a1e36c239b0b6b099ec488a23dddc4f4ebdb28d01fc84baf4c0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5f990523b96535b7b281cd0bf5d3b5fa7dd34c000c07247fe1517ab0205f66e4",
"cross_cats_sorted": [
"hep-ex",
"nucl-th"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "hep-ph",
"submitted_at": "2021-06-07T09:29:00Z",
"title_canon_sha256": "663debf23f915f6d65700ff8aa47748808bd2547327c618d800dbe2c615cbbe1"
},
"schema_version": "1.0",
"source": {
"id": "2106.03453",
"kind": "arxiv",
"version": 1
}
}