Pith Number
pith:WGWTZNB5
pith:2017:WGWTZNB55JFIKXE3YUZLCTBLM6
not attested
not anchored
not stored
refs pending
Application of a Convolutional Neural Network for image classification to the analysis of collisions in High Energy Physics
arxiv:1708.07034 v1 · 2017-08-23 · cs.CV · hep-ex
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WGWTZNB55JFIKXE3YUZLCTBLM6}
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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 | 2026-05-18T00:36:48.588976Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b1ad3cb43dea4a855c9bc532b14c2b67a3bc02f4a1a63121b445e3b120195c44
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WGWTZNB55JFIKXE3YUZLCTBLM6 \
| 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: b1ad3cb43dea4a855c9bc532b14c2b67a3bc02f4a1a63121b445e3b120195c44
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "718f74b662fd5caea874bf6000595a7a2077cc804e887f37b1a265e13fe62162",
"cross_cats_sorted": [
"hep-ex"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-08-23T15:03:08Z",
"title_canon_sha256": "aeded6e71aea9d1c30ddf55edf395fe8c207edde5b2131a8da3c777637b9c9a3"
},
"schema_version": "1.0",
"source": {
"id": "1708.07034",
"kind": "arxiv",
"version": 1
}
}