Pith Number
pith:LS3CBKMV
pith:2016:LS3CBKMVGA2AHNQQTL3LU67DNC
not attested
not anchored
not stored
refs pending
Spatio-temporal adaptive penalized splines with application to Neuroscience
arxiv:1610.06860 v2 · 2016-10-21 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LS3CBKMVGA2AHNQQTL3LU67DNC}
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 | 2026-05-18T00:53:41.974418Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5cb620a995303403b6109af6ba7be368ae1e15710b74b97337073b98375e0569
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LS3CBKMVGA2AHNQQTL3LU67DNC \
| 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: 5cb620a995303403b6109af6ba7be368ae1e15710b74b97337073b98375e0569
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c6e265ce8a7297401a3c2331454df175ffdd126f598e1b347bd743ef159a35db",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2016-10-21T17:06:47Z",
"title_canon_sha256": "a2724e0858d39da544c37ae74464d07f2b6aa7f5749563be4f21b2d6e3186cf6"
},
"schema_version": "1.0",
"source": {
"id": "1610.06860",
"kind": "arxiv",
"version": 2
}
}