Pith Number
pith:OZFQCE5M
pith:2022:OZFQCE5MXRHODF6VKWQ4FLFWMQ
not attested
not anchored
not stored
refs pending
Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics
arxiv:2210.06226 v2 · 2022-10-12 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OZFQCE5MXRHODF6VKWQ4FLFWMQ}
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
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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.
Receipt and verification
| First computed | 2026-07-05T06:32:34.657152Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
764b0113acbc4ee197d555a1c2acb6641b6d54934a2d0d376a1789f602f7d74b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OZFQCE5MXRHODF6VKWQ4FLFWMQ \
| 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: 764b0113acbc4ee197d555a1c2acb6641b6d54934a2d0d376a1789f602f7d74b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "02c3678f2d8ebc931ae66464a40aa5a72a9322c673d8ab9bc8a36b6afd08e308",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2022-10-12T14:15:39Z",
"title_canon_sha256": "9641e819dc1ca1542bd3dcb41e1a7ac81b4859e1bb01f972535eb8903a408e98"
},
"schema_version": "1.0",
"source": {
"id": "2210.06226",
"kind": "arxiv",
"version": 2
}
}