Pith Number
pith:5OWWNIR2
pith:2024:5OWWNIR22A4UKUF3NNQ3AJZCPA
not attested
not anchored
not stored
refs pending
Stable Training of Normalizing Flows for High-dimensional Variational Inference
arxiv:2402.16408 v1 · 2024-02-26 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5OWWNIR22A4UKUF3NNQ3AJZCPA}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T07:49:21.119081Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ebad66a23ad0394550bb6b61b02722780bd48a7dd3aa3b62df991a6213d23f63
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5OWWNIR22A4UKUF3NNQ3AJZCPA \
| 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: ebad66a23ad0394550bb6b61b02722780bd48a7dd3aa3b62df991a6213d23f63
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d688f5e2ea383fdc4dda22a5c874a46d3bdce8eaa000d07da345da280a26481d",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2024-02-26T09:04:07Z",
"title_canon_sha256": "93817adb08f4b6bd220e3f2f9a0b07460869269c33211ef527f246d0dfbdbf2c"
},
"schema_version": "1.0",
"source": {
"id": "2402.16408",
"kind": "arxiv",
"version": 1
}
}