Pith Number
pith:DLQWOI6N
pith:2026:DLQWOI6NBKJHEU44XYSXVOKCC7
not attested
not anchored
not stored
refs pending
Alzheimer's Disease Diagnosis using a Multimodal Approach with 3D MRI and PET
arxiv:2606.20037 v1 · 2026-06-18 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DLQWOI6NBKJHEU44XYSXVOKCC7}
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 | 2026-06-19T16:13:01.296726Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1ae16723cd0a9272539cbe257ab94217e498a54464623cc8bb17fbc0587c8d55
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DLQWOI6NBKJHEU44XYSXVOKCC7 \
| 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: 1ae16723cd0a9272539cbe257ab94217e498a54464623cc8bb17fbc0587c8d55
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d70fb996b06e0325b69fb673104907aa2e43c244c57901a9b3a41cb022b78cce",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-06-18T10:11:14Z",
"title_canon_sha256": "0f96c952ba7e8da5a8a496547f84a886e5a23a8b61881c404f56ec0a11e868d5"
},
"schema_version": "1.0",
"source": {
"id": "2606.20037",
"kind": "arxiv",
"version": 1
}
}