Pith Number
pith:MSWJRGQV
pith:2023:MSWJRGQV4P64KXVKVG2W35RA2W
not attested
not anchored
not stored
refs pending
Model Based Reinforcement Learning for Personalized Heparin Dosing
arxiv:2304.10000 v1 · 2023-04-19 · math.OC · cs.LG · q-bio.QM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MSWJRGQV4P64KXVKVG2W35RA2W}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T06:02:52.955922Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
64ac989a15e3fdc55eaaa9b56df620d5a865f29c0bd8ea3d8bdb29d9fb3b6d7b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MSWJRGQV4P64KXVKVG2W35RA2W \
| 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: 64ac989a15e3fdc55eaaa9b56df620d5a865f29c0bd8ea3d8bdb29d9fb3b6d7b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1fb2bd073fd3db8c74ee16a25c007dbede818cf75cd6d52dea49a81817e1ad9d",
"cross_cats_sorted": [
"cs.LG",
"q-bio.QM"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.OC",
"submitted_at": "2023-04-19T22:37:12Z",
"title_canon_sha256": "6f41e10c0badab7ed4782932625266ca792f7556861d903fbd24c0f47a25b0fa"
},
"schema_version": "1.0",
"source": {
"id": "2304.10000",
"kind": "arxiv",
"version": 1
}
}