Pith Number
pith:KXFLKQQK
pith:2018:KXFLKQQKCDXZXH44KOYSBFDWVU
not attested
not anchored
not stored
refs pending
Personalized Gaussian Processes for Forecasting of Alzheimer's Disease Assessment Scale-Cognition Sub-Scale (ADAS-Cog13)
arxiv:1802.08561 v4 · 2018-02-22 · cs.LG · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KXFLKQQKCDXZXH44KOYSBFDWVU}
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 | 2026-05-18T00:16:50.111293Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
55cab5420a10ef9b9f9c53b1209476ad25c3b1756442febd831b6d91cdf31f08
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KXFLKQQKCDXZXH44KOYSBFDWVU \
| 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: 55cab5420a10ef9b9f9c53b1209476ad25c3b1756442febd831b6d91cdf31f08
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "108c96e68c9441711428b0a22cb249db9275c5a2aff610209953f5443fc50dcb",
"cross_cats_sorted": [
"stat.AP"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-02-22T01:32:54Z",
"title_canon_sha256": "ac59d9b270a97ee662f9d69bb4cbd8e7e7d32fcfd6d6bf190582b56ad4a706d5"
},
"schema_version": "1.0",
"source": {
"id": "1802.08561",
"kind": "arxiv",
"version": 4
}
}