Pith Number
pith:65ORCD73
pith:2025:65ORCD73IBVUYAHMJO4O5D3XLM
not attested
not anchored
not stored
refs pending
Tissue-specific predictive performance: A unified estimation and inference framework for multi-category screening tests
arxiv:2505.21482 v1 · 2025-05-27 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{65ORCD73IBVUYAHMJO4O5D3XLM}
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 | 2026-07-05T11:10:42.576867Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f75d110ffb406b4c00ec4bb8ee8f775b35df50dec7a98273f157fa1606c2d992
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/65ORCD73IBVUYAHMJO4O5D3XLM \
| 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: f75d110ffb406b4c00ec4bb8ee8f775b35df50dec7a98273f157fa1606c2d992
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ab7d8e7291cedc7489b4becc45ba97672d8c2cebf89056691967ce75e907d02c",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "stat.ME",
"submitted_at": "2025-05-27T17:52:42Z",
"title_canon_sha256": "fb68a90e92b56fe74005b77afd7aa3b8837a3164331aed9debb5534ed7699408"
},
"schema_version": "1.0",
"source": {
"id": "2505.21482",
"kind": "arxiv",
"version": 1
}
}