Pith Number
pith:VGWXOAOR
pith:2026:VGWXOAORV3TDWRH2H5CO777YVG
not attested
not anchored
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refs pending
A Convex Approximation Framework for Neural Likelihood-Based Bayesian Inverse Problems
arxiv:2607.06252 v1 · 2026-07-07 · stat.ML · cs.LG · math.PR · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VGWXOAORV3TDWRH2H5CO777YVG}
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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.
Receipt and verification
| First computed | 2026-07-08T01:19:19.098545Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a9ad7701d1aee63b44fa3f44effff8a9b9ed0ae306b2dea6ea2a91c4f78321f8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VGWXOAORV3TDWRH2H5CO777YVG \
| 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: a9ad7701d1aee63b44fa3f44effff8a9b9ed0ae306b2dea6ea2a91c4f78321f8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1f4285ba39d83cf60ffd8b597472435dca10664041583289e25918f05274264c",
"cross_cats_sorted": [
"cs.LG",
"math.PR",
"stat.ME"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2026-07-07T13:18:45Z",
"title_canon_sha256": "4bc72e028920ec3b143eeb362e329ed79a2265c2edefd505471035b76ebc6fef"
},
"schema_version": "1.0",
"source": {
"id": "2607.06252",
"kind": "arxiv",
"version": 1
}
}