Pith Number
pith:YPXHN2VG
pith:2015:YPXHN2VGAW5AKJM73RP53KDOAN
not attested
not anchored
not stored
refs pending
Approximate likelihood inference in generalized linear latent variable models based on integral dimension reduction
arxiv:1503.01249 v1 · 2015-03-04 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YPXHN2VGAW5AKJM73RP53KDOAN}
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 | 2026-05-18T02:25:39.579736Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c3ee76eaa605ba05259fdc5fdda86e03475834237d6f96a70548afaabc39a858
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YPXHN2VGAW5AKJM73RP53KDOAN \
| 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: c3ee76eaa605ba05259fdc5fdda86e03475834237d6f96a70548afaabc39a858
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "309c4561f8e76fa9db359940b77290b7bf68fd66e511e7a2182b88f0ca81b815",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2015-03-04T08:09:15Z",
"title_canon_sha256": "992d4327a9d2c5da4d7ba42350210df795e03fdf4a97888728f69008b88d60e4"
},
"schema_version": "1.0",
"source": {
"id": "1503.01249",
"kind": "arxiv",
"version": 1
}
}