Pith Number

pith:YDYQJHFL

pith:2021:YDYQJHFLKI6WNFP4BV6EYWFIHS

not attested not anchored not stored refs pending

Automatic Debiased Machine Learning via Riesz Regression

Vasilis Syrgkanis, Victor Chernozhukov, Victor Quintas-Martinez, Whitney K. Newey

arxiv:2104.14737 v3 · 2021-04-30 · math.ST · econ.EM · stat.TH

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{YDYQJHFLKI6WNFP4BV6EYWFIHS}

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.

Cited by

5 papers in Pith

Prediction-Powered Causal Inference by Automatic Debiased Machine Learning and Semi-Supervised Riesz Regression

Double/Debiased Machine Learning for Continuous Treatment Effects in Panel Data with Endogeneity

Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates for Prediction-Powered Causal Inference

Covariate Balancing and Riesz Regression Should Be Guided by the Neyman Orthogonal Score in Debiased Machine Learning

Debiased neural operators for estimating functionals

Receipt and verification

First computed	2026-07-05T07:56:12.918814Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

c0f1049cab523d6695fc0d7c4c58a83c86abd579c77cb194670a5daa69e12761

Aliases

arxiv: 2104.14737 · arxiv_version: 2104.14737v3 · doi: 10.48550/arxiv.2104.14737 · pith_short_12: YDYQJHFLKI6W · pith_short_16: YDYQJHFLKI6WNFP4 · pith_short_8: YDYQJHFL

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/YDYQJHFLKI6WNFP4BV6EYWFIHS \
  | 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: c0f1049cab523d6695fc0d7c4c58a83c86abd579c77cb194670a5daa69e12761

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "1130d04cbe667314b4e6fb7674cf91c04dfbcbb6fd37ea9cbb326e8a6dbdf62a",
    "cross_cats_sorted": [
      "econ.EM",
      "stat.TH"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "math.ST",
    "submitted_at": "2021-04-30T03:18:54Z",
    "title_canon_sha256": "842e84457489d0d383a87a5190a7c658533fd4a5d0893d7a375c533bb3515e25"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2104.14737",
    "kind": "arxiv",
    "version": 3
  }
}