Pith Number
pith:LDO3TFBF
pith:2024:LDO3TFBFLIIKZCQQP3QATVMEVW
not attested
not anchored
not stored
refs pending
Individualized multi-horizon MRI trajectory prediction for Alzheimer's Disease
arxiv:2408.02018 v1 · 2024-08-04 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LDO3TFBFLIIKZCQQP3QATVMEVW}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:52:06.348511Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
58ddb994255a10ac8a107ee009d584ada2385f6761a0ca9f864fd1aa998028c3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LDO3TFBFLIIKZCQQP3QATVMEVW \
| 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: 58ddb994255a10ac8a107ee009d584ada2385f6761a0ca9f864fd1aa998028c3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0d6fb7d635f9e58a0b4396657b7d1d062dd231f621b20e30df9b9aca8f6f2505",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-08-04T13:09:06Z",
"title_canon_sha256": "586b3980771023f3ab6fc1454983e63f0fde743a1ac1ed42dca0166398e8797e"
},
"schema_version": "1.0",
"source": {
"id": "2408.02018",
"kind": "arxiv",
"version": 1
}
}