Pith Number
pith:CZCUYQ7R
pith:2016:CZCUYQ7R2JSH3IXFKNEJFJOGOQ
not attested
not anchored
not stored
refs pending
A Bayesian Heteroscedastic GLM with Application to fMRI Data with Motion Spikes
arxiv:1612.00690 v2 · 2016-12-02 · stat.AP · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CZCUYQ7R2JSH3IXFKNEJFJOGOQ}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-05-18T00:43:29.762338Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
16454c43f1d2647da2e5534892a5c6740997dc72d61b79e2940f9bbd56eedfb8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CZCUYQ7R2JSH3IXFKNEJFJOGOQ \
| 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: 16454c43f1d2647da2e5534892a5c6740997dc72d61b79e2940f9bbd56eedfb8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e686059d604680731ac76674cf8f76d5339cada2e92d4e084e6c375bfa9f6691",
"cross_cats_sorted": [
"stat.ME"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.AP",
"submitted_at": "2016-12-02T14:36:34Z",
"title_canon_sha256": "f35d0f17f222a7a8071590bd3dcd0b05150355edd8b4ccba69de29ce8154c3e0"
},
"schema_version": "1.0",
"source": {
"id": "1612.00690",
"kind": "arxiv",
"version": 2
}
}