Pith Number
pith:XZ5F44JE
pith:2025:XZ5F44JE5AHLOKY4WVLTSQHZJ4
not attested
not anchored
not stored
refs pending
A Novel Multimodal Framework for Early Detection of Alzheimers Disease Using Deep Learning
arxiv:2508.03046 v1 · 2025-08-05 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XZ5F44JE5AHLOKY4WVLTSQHZJ4}
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
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claim
4
Citations
5
Replications
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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 | 2026-07-05T11:48:35.369461Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
be7a5e7124e80eb72b1cb5573940f94f32379b2766822503171c52a89161d4bc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XZ5F44JE5AHLOKY4WVLTSQHZJ4 \
| 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: be7a5e7124e80eb72b1cb5573940f94f32379b2766822503171c52a89161d4bc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "745e88ab437197bd7c8d144e6ee6e07e3f429c29cb4b6e8b7a9d9a39d7873a0b",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-08-05T03:46:59Z",
"title_canon_sha256": "d490b44c4122cca0260dd2a8b4a36f18ad7a11307a2058a04a63dcf1a85aea6b"
},
"schema_version": "1.0",
"source": {
"id": "2508.03046",
"kind": "arxiv",
"version": 1
}
}