Pith Number
pith:KMY3DAGI
pith:2018:KMY3DAGI2XWA5SSPBZ32XLFSKE
not attested
not anchored
not stored
refs pending
Forecasting Disease Trajectories in Alzheimer's Disease Using Deep Learning
arxiv:1807.03159 v1 · 2018-07-06 · stat.ML · cs.LG
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 | 2026-05-18T00:11:12.560501Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5331b180c8d5ec0eca4f0e77abacb251274c858dd3d3788bd6d32796141bb728
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KMY3DAGI2XWA5SSPBZ32XLFSKE \
| 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: 5331b180c8d5ec0eca4f0e77abacb251274c858dd3d3788bd6d32796141bb728
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6548dd88af46d67c9e1a593afb88b94ff1c3c308080d59c82c9bb501f8d83bf7",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2018-07-06T16:28:58Z",
"title_canon_sha256": "d6725989fafa0873b2adf42bcffd81b3783090c5b7ba7097e5ff76dcea8cf676"
},
"schema_version": "1.0",
"source": {
"id": "1807.03159",
"kind": "arxiv",
"version": 1
}
}