Pith Number
pith:NABHVCHM
pith:2017:NABHVCHMWHSUG2LWOIS4C3QHQN
not attested
not anchored
not stored
refs pending
Disease Progression Modeling and Prediction through Random Effect Gaussian Processes and Time Transformation
arxiv:1701.01668 v1 · 2017-01-06 · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NABHVCHMWHSUG2LWOIS4C3QHQN}
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 | 2026-05-18T00:23:17.121123Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
68027a88ecb1e54369767225c16e07837ce699f5b9969d2d2c6f54bdf7efd728
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NABHVCHMWHSUG2LWOIS4C3QHQN \
| 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: 68027a88ecb1e54369767225c16e07837ce699f5b9969d2d2c6f54bdf7efd728
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8c1ec485ca287c37e7002df4c082f51259432a7fc2768f70c5b2caca93b987d1",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.AP",
"submitted_at": "2017-01-06T15:38:17Z",
"title_canon_sha256": "497dca8a6ca1b7beec7f915c257da73e2e039f63185a4be95bd06941c06aa1f2"
},
"schema_version": "1.0",
"source": {
"id": "1701.01668",
"kind": "arxiv",
"version": 1
}
}