Pith Number

pith:LQHESUYK

pith:2023:LQHESUYKNCPT4MQET6QG2D7TJ7

not attested not anchored not stored refs pending

BayesFlow: Amortized Bayesian Workflows With Neural Networks

Lasse Elsem\"uller, Lukas Schumacher, Marvin Schmitt, Paul-Christian B\"urkner, Stefan T Radev, Ullrich K\"othe, Valentin Pratz, Yannik Sch\"alte

arxiv:2306.16015 v2 · 2023-06-28 · cs.LG · cs.AI · stat.ML

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{LQHESUYKNCPT4MQET6QG2D7TJ7}

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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

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation

Receipt and verification

First computed	2026-07-05T06:29:21.533561Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

5c0e49530a689f3e32049fa06d0ff34fea6a3e015456adf4cc497e8d0293b829

Aliases

arxiv: 2306.16015 · arxiv_version: 2306.16015v2 · doi: 10.48550/arxiv.2306.16015 · pith_short_12: LQHESUYKNCPT · pith_short_16: LQHESUYKNCPT4MQE · pith_short_8: LQHESUYK

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/LQHESUYKNCPT4MQET6QG2D7TJ7 \
  | 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: 5c0e49530a689f3e32049fa06d0ff34fea6a3e015456adf4cc497e8d0293b829

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "ef0a7e1e7df68ee5147970bea65b0b70e68453b309c63552f1857094ba8dca61",
    "cross_cats_sorted": [
      "cs.AI",
      "stat.ML"
    ],
    "license": "http://creativecommons.org/licenses/by-sa/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2023-06-28T08:41:49Z",
    "title_canon_sha256": "0df708ca423c4d1a376f0dca0769c93004d3278f4e1af105b04d29aaf3cb6a56"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2306.16015",
    "kind": "arxiv",
    "version": 2
  }
}