Pith Number
pith:KFL6GMIR
pith:2019:KFL6GMIR37BJVNI4DBZERIOFWJ
not attested
not anchored
not stored
refs pending
Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model
arxiv:1907.01099 v1 · 2019-07-01 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KFL6GMIR37BJVNI4DBZERIOFWJ}
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 | 2026-05-17T23:41:41.240810Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5157e33111dfc29ab51c187248a1c5b2519326686b2ca34ef7954bd6152dd3ff
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KFL6GMIR37BJVNI4DBZERIOFWJ \
| 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: 5157e33111dfc29ab51c187248a1c5b2519326686b2ca34ef7954bd6152dd3ff
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7d186a19512d5549e53e9e43dc38745d37a7969ca1bb606ca7304b1fb7955f60",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-07-01T23:22:45Z",
"title_canon_sha256": "a8741e49e1d7574e82370331dd23022c6f24040add3af8e13e71202b4769920b"
},
"schema_version": "1.0",
"source": {
"id": "1907.01099",
"kind": "arxiv",
"version": 1
}
}