Pith. sign in
Pith Number

pith:U2NENF3D

pith:2022:U2NENF3DKPHNI46OB4QKDSDC54
not attested not anchored not stored refs pending

GATSBI: Generative Adversarial Training for Simulation-Based Inference

\'Alvaro Tejero-Cantero, David S. Greenberg, Jakob H. Macke, Jan Boelts, Jan-Matthis Lueckmann, Pedro J. Gon\c{c}alves, Poornima Ramesh

arxiv:2203.06481 v1 · 2022-03-12 · stat.ML · cs.LG · stat.ME

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{U2NENF3DKPHNI46OB4QKDSDC54}

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

2 papers in Pith

Receipt and verification
First computed 2026-07-05T04:04:51.226593Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

a69a46976353ced473ce0f20a1c862ef317cf179da54cba535e55061156e5e5f

Aliases

arxiv: 2203.06481 · arxiv_version: 2203.06481v1 · doi: 10.48550/arxiv.2203.06481 · pith_short_12: U2NENF3DKPHN · pith_short_16: U2NENF3DKPHNI46O · pith_short_8: U2NENF3D
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/U2NENF3DKPHNI46OB4QKDSDC54 \
  | 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: a69a46976353ced473ce0f20a1c862ef317cf179da54cba535e55061156e5e5f
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "0897d78c31d7dae2be045d450dfc91a9ea9c5be6848ce2cfd97eff8ac0b44201",
    "cross_cats_sorted": [
      "cs.LG",
      "stat.ME"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2022-03-12T16:33:27Z",
    "title_canon_sha256": "f542d17b291bb77f714ca0f397cc02f58ba56af6f6227d81de0884ff54d5aa43"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2203.06481",
    "kind": "arxiv",
    "version": 1
  }
}