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pith:ENNTCWF5

pith:2020:ENNTCWF56GPDTXLUIAMXCFHLXR
not attested not anchored not stored refs pending

Fast Predictive Uncertainty for Classification with Bayesian Deep Networks

Agustinus Kristiadi, Marius Hobbhahn, Philipp Hennig

arxiv:2003.01227 v4 · 2020-03-02 · cs.LG · stat.ML

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\usepackage{pith}
\pithnumber{ENNTCWF56GPDTXLUIAMXCFHLXR}

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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.

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1 paper in Pith

Receipt and verification
First computed 2026-07-05T04:27:27.024377Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

235b3158bdf19e39dd7440197114ebbc7af223e4ab032db00fe98475f70bdb21

Aliases

arxiv: 2003.01227 · arxiv_version: 2003.01227v4 · doi: 10.48550/arxiv.2003.01227 · pith_short_12: ENNTCWF56GPD · pith_short_16: ENNTCWF56GPDTXLU · pith_short_8: ENNTCWF5
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ENNTCWF56GPDTXLUIAMXCFHLXR \
  | 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: 235b3158bdf19e39dd7440197114ebbc7af223e4ab032db00fe98475f70bdb21
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "1fc33a102716f8604573d67ece50226ec4507dde20a688342449504d3a6d9104",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2020-03-02T22:29:03Z",
    "title_canon_sha256": "0a32c170361973ddef0a5126ff8a7b5434a7cd51bd29f105e2eba369f45bcb03"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2003.01227",
    "kind": "arxiv",
    "version": 4
  }
}