Pith Number
pith:M2C76OLT
pith:2018:M2C76OLTQMXG34L7O7VCMOVAV4
not attested
not anchored
not stored
refs pending
Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare
arxiv:1806.01551 v3 · 2018-06-05 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{M2C76OLTQMXG34L7O7VCMOVAV4}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T00:21:31.148561Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6685ff3973832e6df17f77ea263aa0af3205c480077378e4a2f15e913d991ee6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/M2C76OLTQMXG34L7O7VCMOVAV4 \
| 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: 6685ff3973832e6df17f77ea263aa0af3205c480077378e4a2f15e913d991ee6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a22f444ffa7f550ebefed3e56b08e9ae4ecb552e84c6d5c6b39168f2ec853a1a",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2018-06-05T08:26:53Z",
"title_canon_sha256": "f56124d8b9d4b27225e0599a4f3938941cbf83d983ec50ece9cda48732bbe9d3"
},
"schema_version": "1.0",
"source": {
"id": "1806.01551",
"kind": "arxiv",
"version": 3
}
}