Pith Number
pith:M7AYKBX7
pith:2017:M7AYKBX746Q3W2JUH4NFHFDVF2
not attested
not anchored
not stored
refs pending
Forecasting of commercial sales with large scale Gaussian Processes
arxiv:1709.05548 v1 · 2017-09-16 · stat.AP · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{M7AYKBX746Q3W2JUH4NFHFDVF2}
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 | 2026-05-18T00:35:00.342856Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
67c18506ffe7a1bb69343f1a5394752ebf55f6511d8fc8373358a46d49800609
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/M7AYKBX746Q3W2JUH4NFHFDVF2 \
| 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: 67c18506ffe7a1bb69343f1a5394752ebf55f6511d8fc8373358a46d49800609
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "21084e58074df1e46219a18368f58ca60a44527ab7d6400afe51fbd76cfb248b",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.AP",
"submitted_at": "2017-09-16T18:51:58Z",
"title_canon_sha256": "0ec760a032afc1052491a17d8c16a8e27f2947112d3f52882c2c21a87ea67cfd"
},
"schema_version": "1.0",
"source": {
"id": "1709.05548",
"kind": "arxiv",
"version": 1
}
}