Pith Number

pith:IM72NOCM

pith:2025:IM72NOCM5XOQDXUYPAK6CGVF5Q

not attested not anchored not stored refs pending

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

Andreas Voss, Lasse Elsem\"uller, Mischa von Krause, Paul-Christian B\"urkner, Stefan T. Radev, Valentin Pratz

arxiv:2502.04949 v2 · 2025-02-07 · stat.ML · cs.LG · stat.ME

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\usepackage{pith}
\pithnumber{IM72NOCM5XOQDXUYPAK6CGVF5Q}

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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

Diffusion Models in Simulation-Based Inference: A Tutorial Review

Receipt and verification

First computed	2026-07-05T11:05:39.767390Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

433fa6b84ceddd01de987815e11aa5ec0326d2f98f8b31755e693f6c3ee151f2

Aliases

arxiv: 2502.04949 · arxiv_version: 2502.04949v2 · doi: 10.48550/arxiv.2502.04949 · pith_short_12: IM72NOCM5XOQ · pith_short_16: IM72NOCM5XOQDXUY · pith_short_8: IM72NOCM

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/IM72NOCM5XOQDXUYPAK6CGVF5Q \
  | 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: 433fa6b84ceddd01de987815e11aa5ec0326d2f98f8b31755e693f6c3ee151f2

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "869150b77108092875ec1f6c78d65b884bcb2b06a3a8f7976f42ee5ea36cc715",
    "cross_cats_sorted": [
      "cs.LG",
      "stat.ME"
    ],
    "license": "http://creativecommons.org/licenses/by-sa/4.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2025-02-07T14:13:51Z",
    "title_canon_sha256": "54220d70ddbfdfa140c91bebe5d5d6c0bbf247d945a45a14ff74941612fce97d"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2502.04949",
    "kind": "arxiv",
    "version": 2
  }
}