Pith Number
pith:QPNNXIXT
pith:2016:QPNNXIXT6O7JGUZ3BX22AB2XG4
not attested
not anchored
not stored
refs pending
Reliable Evaluation of Neural Network for Multiclass Classification of Real-world Data
arxiv:1612.00671 v1 · 2016-11-30 · cs.NE · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QPNNXIXT6O7JGUZ3BX22AB2XG4}
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.
Receipt and verification
| First computed | 2026-05-18T00:55:59.347024Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
83dadba2f3f3be93533b0df5a00757370e484de38558ea61d928f65ccc29ce85
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QPNNXIXT6O7JGUZ3BX22AB2XG4 \
| 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: 83dadba2f3f3be93533b0df5a00757370e484de38558ea61d928f65ccc29ce85
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "57c68cf3731ac5079755089a0cb3aa708e64af2eea26149640bafaa35fa05daf",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2016-11-30T19:58:44Z",
"title_canon_sha256": "e2bdf856d3faa9b3bbc7120035cab2eba8cf34d4fb816f4a8d0105884fdd4bb1"
},
"schema_version": "1.0",
"source": {
"id": "1612.00671",
"kind": "arxiv",
"version": 1
}
}