Pith Number
pith:3TPO5IFU
pith:2019:3TPO5IFUM6TSOYGNP475CFCAB4
not attested
not anchored
not stored
refs pending
Efficient Toxicity Prediction via Simple Features Using Shallow Neural Networks and Decision Trees
arxiv:1901.09240 v1 · 2019-01-26 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3TPO5IFUM6TSOYGNP475CFCAB4}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more
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 | 2026-05-17T23:55:26.533662Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dcdeeea0b467a72760cd7f3fd114400f2cf6832091193bb899d411fc64e53ff1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3TPO5IFUM6TSOYGNP475CFCAB4 \
| 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: dcdeeea0b467a72760cd7f3fd114400f2cf6832091193bb899d411fc64e53ff1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9784dac5d79ae075b23ced2e840fc077cbf638c711301ea7ea402949b1177ea5",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-01-26T16:27:29Z",
"title_canon_sha256": "d70794caea819084f462eb0fec155aca1b02a72c97a0e1cbc89b6061bd11999e"
},
"schema_version": "1.0",
"source": {
"id": "1901.09240",
"kind": "arxiv",
"version": 1
}
}