Pith Number

pith:4IL5BQMJ

pith:2020:4IL5BQMJ6GKPXCY6JWODQNFUPS

not attested not anchored not stored refs pending

Distributionally Robust Parametric Maximum Likelihood Estimation

Angelos Georghiou, Jose Blanchet, Viet Anh Nguyen, Xuhui Zhang

arxiv:2010.05321 v1 · 2020-10-11 · stat.ML · cs.LG · math.ST · 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{4IL5BQMJ6GKPXCY6JWODQNFUPS}

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

1 paper in Pith

Statistical Inference for Responsiveness Verification

Receipt and verification

First computed	2026-07-05T01:42:05.135224Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

e217d0c189f194fb8b1e4d9c3834b47c9a2cba2c304dcbcbedf331b435996ab8

Aliases

arxiv: 2010.05321 · arxiv_version: 2010.05321v1 · doi: 10.48550/arxiv.2010.05321 · pith_short_12: 4IL5BQMJ6GKP · pith_short_16: 4IL5BQMJ6GKPXCY6 · pith_short_8: 4IL5BQMJ

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/4IL5BQMJ6GKPXCY6JWODQNFUPS \
  | 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: e217d0c189f194fb8b1e4d9c3834b47c9a2cba2c304dcbcbedf331b435996ab8

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "2e18e71412037eb5f0ba2c1e232278df69f6a67152ff454d446a6f4c18387f81",
    "cross_cats_sorted": [
      "cs.LG",
      "math.ST",
      "stat.TH"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2020-10-11T19:05:49Z",
    "title_canon_sha256": "d35edcf34f391bff0cf9153f12974ad015391ab22bcc2f5d4ea999cfc8658ce7"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2010.05321",
    "kind": "arxiv",
    "version": 1
  }
}