Pith Number

pith:ANCDAZ5H

pith:2017:ANCDAZ5H3L5KKQY2YNWTIECACX

not attested not anchored not stored refs pending

Synth-Validation: Selecting the Best Causal Inference Method for a Given Dataset

Alejandro Schuler, Ken Jung, Nigam Shah, Robert Tibshirani, Trevor Hastie

arxiv:1711.00083 v1 · 2017-10-31 · stat.ML

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{ANCDAZ5H3L5KKQY2YNWTIECACX}

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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.

Cited by

1 paper in Pith

Generative AI-Based Monte Carlo Simulation for Method Evaluation Using Synthetic Multilevel Data

Receipt and verification

First computed	2026-05-18T00:31:35.255846Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

03443067a7dafaa5431ac36d34104015feccde7967c79696c843e392af064e86

Aliases

arxiv: 1711.00083 · arxiv_version: 1711.00083v1 · doi: 10.48550/arxiv.1711.00083 · pith_short_12: ANCDAZ5H3L5K · pith_short_16: ANCDAZ5H3L5KKQY2 · pith_short_8: ANCDAZ5H

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/ANCDAZ5H3L5KKQY2YNWTIECACX \
  | 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: 03443067a7dafaa5431ac36d34104015feccde7967c79696c843e392af064e86

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "d2dfa56bd6f35647f52bd0b8bdc9764183a52b884489903a3231049c95f67967",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2017-10-31T20:05:27Z",
    "title_canon_sha256": "e17b0fedcdaf174a739c663e10a3103e6020d79eddc51e36154526b3c483a09b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1711.00083",
    "kind": "arxiv",
    "version": 1
  }
}