Pith Number
pith:QT2T4BGN
pith:2022:QT2T4BGN3L5HGWYP5GECMBD4P2
not attested
not anchored
not stored
refs pending
Predicting tacrolimus exposure in kidney transplanted patients using machine learning
arxiv:2205.07858 v1 · 2022-05-09 · cs.LG · cs.AI · q-bio.QM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QT2T4BGN3L5HGWYP5GECMBD4P2}
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 | 2026-07-05T04:23:56.627310Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
84f53e04cddafa735b0fe98826047c7e9faca04729cfa971c70a8f77064fe2cc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QT2T4BGN3L5HGWYP5GECMBD4P2 \
| 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: 84f53e04cddafa735b0fe98826047c7e9faca04729cfa971c70a8f77064fe2cc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "84904a0748e58bc1df77c15799d39a235b47d629af35178991b4d1b209b5be07",
"cross_cats_sorted": [
"cs.AI",
"q-bio.QM"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-05-09T08:43:22Z",
"title_canon_sha256": "1b6120d8014f32502545ec73b9a6609ffc1bdf10d5389f9057a5abe6bc9120d3"
},
"schema_version": "1.0",
"source": {
"id": "2205.07858",
"kind": "arxiv",
"version": 1
}
}