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Pith Number

pith:CV3PKK4Y

pith:2017:CV3PKK4YY2OGRU2YOIZDQOXDYS
not attested not anchored not stored refs pending

Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data

Christopher K. Wikle, Patrick L. McDermott

arxiv:1711.00636 v2 · 2017-11-02 · stat.ME · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CV3PKK4YY2OGRU2YOIZDQOXDYS}

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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 2026-05-18T00:24:09.669507Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

1576f52b98c69c68d3587232383ae3c4b1b383ffacc5c8724ac2aba323fe81a8

Aliases

arxiv: 1711.00636 · arxiv_version: 1711.00636v2 · doi: 10.48550/arxiv.1711.00636 · pith_short_12: CV3PKK4YY2OG · pith_short_16: CV3PKK4YY2OGRU2Y · pith_short_8: CV3PKK4Y
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CV3PKK4YY2OGRU2YOIZDQOXDYS \
  | 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: 1576f52b98c69c68d3587232383ae3c4b1b383ffacc5c8724ac2aba323fe81a8
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "dbd9db5099086ebd2aa02e2ec005e63ccbf82bd78451eded294e68a2ee332910",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ME",
    "submitted_at": "2017-11-02T07:27:19Z",
    "title_canon_sha256": "dff49bee68088eec7df7fa662dc1f18abd7d2547f2816f2e4a50761b62300a5b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1711.00636",
    "kind": "arxiv",
    "version": 2
  }
}