Pith Number
pith:4MZY2MXB
pith:2024:4MZY2MXB6KUN26T33DVBOUETCT
not attested
not anchored
not stored
refs pending
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference
arxiv:2412.13286 v2 · 2024-12-17 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4MZY2MXB6KUN26T33DVBOUETCT}
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.
Receipt and verification
| First computed | 2026-07-05T09:52:19.855148Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e3338d32e1f2a8dd7a7bd8ea17509314fcc622bf5937d495243998aa523a4025
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4MZY2MXB6KUN26T33DVBOUETCT \
| 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: e3338d32e1f2a8dd7a7bd8ea17509314fcc622bf5937d495243998aa523a4025
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8d66f25663bd93f99469b65ee126a5c1314157d856b3517f9c2845875cc4f6a4",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-12-17T19:34:58Z",
"title_canon_sha256": "b076e3b604b0c6b616fd231e9d85b8846e7e01e1c695716d3d372da373105900"
},
"schema_version": "1.0",
"source": {
"id": "2412.13286",
"kind": "arxiv",
"version": 2
}
}