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Pith Number

pith:RP3EB5LQ

pith:2017:RP3EB5LQG5BPMQDEY7BEG5TALI
not attested not anchored not stored refs pending

How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions?

Abhinav Vishnu, Charles Siegel, Garrett B. Goh, Nathan Baker, Nathan O. Hodas

arxiv:1710.02238 v2 · 2017-10-05 · stat.ML · cs.AI · cs.CV · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RP3EB5LQG5BPMQDEY7BEG5TALI}

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 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 2026-05-18T00:08:00.796846Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

8bf640f5703742f64064c7c24376605a08e44a612b82fd48455baf7cd1d60581

Aliases

arxiv: 1710.02238 · arxiv_version: 1710.02238v2 · doi: 10.48550/arxiv.1710.02238 · pith_short_12: RP3EB5LQG5BP · pith_short_16: RP3EB5LQG5BPMQDE · pith_short_8: RP3EB5LQ
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RP3EB5LQG5BPMQDEY7BEG5TALI \
  | 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: 8bf640f5703742f64064c7c24376605a08e44a612b82fd48455baf7cd1d60581
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "f32ccfd2821f04ad48de4e96a23b0f9d03739868dfa30ee52b99a7f823a6e7df",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CV",
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2017-10-05T23:53:59Z",
    "title_canon_sha256": "54186324bdb7cf8610ce8bd49024c0503bd3dec6a6117320e960179df57475d1"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1710.02238",
    "kind": "arxiv",
    "version": 2
  }
}