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Pith Number

pith:FF33752A

pith:2017:FF33752AMAEETTS6LY5QU72XLM
not attested not anchored not stored refs pending

Deep Learning Based Regression and Multi-class Models for Acute Oral Toxicity Prediction with Automatic Chemical Feature Extraction

Jianfeng Pei, Luhua Lai, Youjun Xu

arxiv:1704.04718 v3 · 2017-04-16 · stat.ML · cs.LG · q-bio.QM

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\usepackage{pith}
\pithnumber{FF33752AMAEETTS6LY5QU72XLM}

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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 2026-05-18T00:45:02.449280Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

2977bff740600849ce5e5e3b0a7f575b323b5326aa8cfa02ff2f33cf7c48e17a

Aliases

arxiv: 1704.04718 · arxiv_version: 1704.04718v3 · doi: 10.48550/arxiv.1704.04718 · pith_short_12: FF33752AMAEE · pith_short_16: FF33752AMAEETTS6 · pith_short_8: FF33752A
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FF33752AMAEETTS6LY5QU72XLM \
  | 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: 2977bff740600849ce5e5e3b0a7f575b323b5326aa8cfa02ff2f33cf7c48e17a
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "60da770c7bdb2b88246aca768ff6ceb2fd891cb535c6f0c39765e391e82e0b30",
    "cross_cats_sorted": [
      "cs.LG",
      "q-bio.QM"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2017-04-16T04:17:32Z",
    "title_canon_sha256": "091baada12c252b226edb7e40b4d31369c7e1e5af0a2081d3b75fcd907b18be5"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1704.04718",
    "kind": "arxiv",
    "version": 3
  }
}