Pith Number
pith:CPUI4FZL
pith:2022:CPUI4FZLYH7QEUCLWCDO7SCHJO
not attested
not anchored
not stored
refs pending
Maximum Likelihood Learning of Unnormalized Models for Simulation-Based Inference
arxiv:2210.14756 v2 · 2022-10-26 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CPUI4FZLYH7QEUCLWCDO7SCHJO}
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
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claim
4
Citations
5
Replications
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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
Receipt and verification
| First computed | 2026-07-05T06:02:00.933547Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
13e88e172bc1ff02504bb086efc8474bb3f9ee39e9d55288aef45c44c44c2d81
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CPUI4FZLYH7QEUCLWCDO7SCHJO \
| 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: 13e88e172bc1ff02504bb086efc8474bb3f9ee39e9d55288aef45c44c44c2d81
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "789ec7f28f67f9b8f97dc5bf349f386ff67f13f57299129e730165ff35ae8ac5",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-10-26T14:38:24Z",
"title_canon_sha256": "f8be5beeea7ecad69bba4bc6d363bc5de078c6a05d7aba34cd71c12c88a0f98d"
},
"schema_version": "1.0",
"source": {
"id": "2210.14756",
"kind": "arxiv",
"version": 2
}
}