Pith Number
pith:GPDDDPFO
pith:2017:GPDDDPFO7HWF2YOOBWAAAXEM2T
not attested
not anchored
not stored
refs pending
Variational Gaussian Approximation for Poisson Data
arxiv:1709.05885 v1 · 2017-09-18 · math.NA · stat.CO · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GPDDDPFO7HWF2YOOBWAAAXEM2T}
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
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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 | 2026-05-18T00:23:33.372818Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
33c631bcaef9ec5d61ce0d80005c8cd4c9a07f78199a5286978a7d8310100430
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GPDDDPFO7HWF2YOOBWAAAXEM2T \
| 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: 33c631bcaef9ec5d61ce0d80005c8cd4c9a07f78199a5286978a7d8310100430
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4b37f55f9d1ef309971643ec1ceffab38c9892aa4d884a8030290b86c065e50c",
"cross_cats_sorted": [
"stat.CO",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.NA",
"submitted_at": "2017-09-18T12:12:12Z",
"title_canon_sha256": "862d5e00ac9ed52fe644f4cce452c778c9a1a25b1429c4b6a2822af9a00e5eb4"
},
"schema_version": "1.0",
"source": {
"id": "1709.05885",
"kind": "arxiv",
"version": 1
}
}