Pith Number
pith:UQH7LRVL
pith:2025:UQH7LRVLVU5JJOPN3LUM4IFMKZ
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refs pending
Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment
arxiv:2507.22321 v1 · 2025-07-30 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UQH7LRVLVU5JJOPN3LUM4IFMKZ}
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 | 2026-07-05T11:45:20.133094Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a40ff5c6abad3a94b9eddae8ce20ac566f4d28182f53e926c71677be6a7b00e4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UQH7LRVLVU5JJOPN3LUM4IFMKZ \
| 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: a40ff5c6abad3a94b9eddae8ce20ac566f4d28182f53e926c71677be6a7b00e4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e02254759adfdb433da34467b5d1b0dce6ee0fea999fa65e8f8cc1c761261218",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-07-30T01:38:32Z",
"title_canon_sha256": "5ce07259f87e9478de781bbc69b39bb9a20b1c301133ebbb32d8317b7172a530"
},
"schema_version": "1.0",
"source": {
"id": "2507.22321",
"kind": "arxiv",
"version": 1
}
}