Pith Number

pith:H2AE2BUG

pith:2025:H2AE2BUGZ5JF2SNDUV2F6ICOLK

not attested not anchored not stored refs pending

Missing value imputation with adversarial random forests -- MissARF

David S. Watson, Jan Kapar, Marvin N. Wright, Pegah Golchian

arxiv:2507.15681 v1 · 2025-07-21 · stat.ML · cs.AI · cs.LG

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{H2AE2BUGZ5JF2SNDUV2F6ICOLK}

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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

2 papers in Pith

Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests

Testing independence in the presence of missing data: high-dimensional case

Receipt and verification

First computed	2026-07-05T11:40:41.912609Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

3e804d0686cf525d49a3a5745f204e5aa52e1772409d94801bd5cfbc2b8ab09b

Aliases

arxiv: 2507.15681 · arxiv_version: 2507.15681v1 · doi: 10.48550/arxiv.2507.15681 · pith_short_12: H2AE2BUGZ5JF · pith_short_16: H2AE2BUGZ5JF2SND · pith_short_8: H2AE2BUG

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/H2AE2BUGZ5JF2SNDUV2F6ICOLK \
  | 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: 3e804d0686cf525d49a3a5745f204e5aa52e1772409d94801bd5cfbc2b8ab09b

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "e9dfe5c9f8d34bc9c02494d75749ce530d63b29cc9b275800d18c7c7598a84ac",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2025-07-21T14:44:51Z",
    "title_canon_sha256": "9e5f0f2aa64f5a7fb3f226ef6f172b0972067f999be389f1ae8a6aa5791c0ad6"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2507.15681",
    "kind": "arxiv",
    "version": 1
  }
}