Pith Number
pith:LZRLQDT5
pith:2023:LZRLQDT5UNVVYREX235FN73AIQ
not attested
not anchored
not stored
refs pending
Applying Pre-Trained Deep-Learning Model on Wrist Angel Data -- An Analysis Plan
arxiv:2312.09052 v1 · 2023-12-14 · stat.AP · stat.OT
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LZRLQDT5UNVVYREX235FN73AIQ}
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 | 2026-07-05T07:24:13.638950Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5e62b80e7da36b5c4497d6fa56ff60441fceae7dba87bba7b1b3d9c1addb3976
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LZRLQDT5UNVVYREX235FN73AIQ \
| 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: 5e62b80e7da36b5c4497d6fa56ff60441fceae7dba87bba7b1b3d9c1addb3976
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7e65d4692a4ba89a7b1e8443a50ddd65df674cc1f649160350455f564a49a0a8",
"cross_cats_sorted": [
"stat.OT"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "stat.AP",
"submitted_at": "2023-12-14T15:52:28Z",
"title_canon_sha256": "5cdafe8b6d3dd2fe30ac4248498334e574f4733059de5cff7c7e7a14b3d01bc1"
},
"schema_version": "1.0",
"source": {
"id": "2312.09052",
"kind": "arxiv",
"version": 1
}
}