pith. sign in
Pith Number

pith:LM33NZZM

pith:2026:LM33NZZMUJX7ROK3XAF7QSRCUB
not attested not anchored not stored refs pending

Latent-IMH: Efficient Bayesian Inference for Inverse Problems with Approximate Operators

George Biros, Youguang Chen

arxiv:2601.20888 v3 · 2026-01-28 · stat.ML · cs.LG · math.ST · stat.CO · stat.TH

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LM33NZZMUJX7ROK3XAF7QSRCUB}

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.
Receipt and verification
First computed 2026-05-20T00:04:23.586010Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

5b37b6e72ca26ff8b95bb80bf84a22a041795a84d552e22a8868d881b7457866

Aliases

arxiv: 2601.20888 · arxiv_version: 2601.20888v3 · doi: 10.48550/arxiv.2601.20888 · pith_short_12: LM33NZZMUJX7 · pith_short_16: LM33NZZMUJX7ROK3 · pith_short_8: LM33NZZM
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LM33NZZMUJX7ROK3XAF7QSRCUB \
  | 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: 5b37b6e72ca26ff8b95bb80bf84a22a041795a84d552e22a8868d881b7457866
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "129e13008221ff3875f26ad3e718c898168a37fb46febff3798975e0a0a1ac7d",
    "cross_cats_sorted": [
      "cs.LG",
      "math.ST",
      "stat.CO",
      "stat.TH"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2026-01-28T03:44:01Z",
    "title_canon_sha256": "7b1706221965527757ec5e08a15ea75769b51c9f381a6d8ec6b911459f25c527"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2601.20888",
    "kind": "arxiv",
    "version": 3
  }
}