Pith Number
pith:SAPONNBT
pith:2019:SAPONNBTES7YSLTUXQ6PL4WEYW
not attested
not anchored
not stored
refs pending
Scalable Training of Inference Networks for Gaussian-Process Models
arxiv:1905.10969 v1 · 2019-05-27 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SAPONNBTES7YSLTUXQ6PL4WEYW}
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 | 2026-05-17T23:45:03.260182Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
901ee6b43324bf892e74bc3cf5f2c4c5bd31f787913d8e938408a5fbd9985ec9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SAPONNBTES7YSLTUXQ6PL4WEYW \
| 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: 901ee6b43324bf892e74bc3cf5f2c4c5bd31f787913d8e938408a5fbd9985ec9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0e9b6b3e0593551d8cad8c63ac8a28cd98fccd793bd46ff62be524ffd426fbfa",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2019-05-27T04:33:37Z",
"title_canon_sha256": "856396d86091cf7741dde80fd63232cbf9f126789ae4415f19299d199361f959"
},
"schema_version": "1.0",
"source": {
"id": "1905.10969",
"kind": "arxiv",
"version": 1
}
}