Pith Number
pith:KOFJTV5I
pith:2021:KOFJTV5IKQBDWIYABVX2AOFSBB
not attested
not anchored
not stored
refs pending
Preconditioned training of normalizing flows for variational inference in inverse problems
arxiv:2101.03709 v1 · 2021-01-11 · stat.ML · cs.LG · physics.geo-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KOFJTV5IKQBDWIYABVX2AOFSBB}
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 | 2026-07-05T02:05:52.978162Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
538a99d7a854023b23000d6fa038b2085bd19a18559470dfe455642b4b125506
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KOFJTV5IKQBDWIYABVX2AOFSBB \
| 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: 538a99d7a854023b23000d6fa038b2085bd19a18559470dfe455642b4b125506
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b6d32ecf232661eb5c678e71b9b760e6c112bf8b6a276b4055dcad1e1be1787b",
"cross_cats_sorted": [
"cs.LG",
"physics.geo-ph"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2021-01-11T05:35:36Z",
"title_canon_sha256": "627f455cac788e737c479043cfc6fd19014cfc62d8316da9bcc8147eca91b9b7"
},
"schema_version": "1.0",
"source": {
"id": "2101.03709",
"kind": "arxiv",
"version": 1
}
}