Pith Number
pith:GRHDG57A
pith:2019:GRHDG57AFQNW5LZPY4LSBKDLS4
not attested
not anchored
not stored
refs pending
ASD-DiagNet: A hybrid learning approach for detection of Autism Spectrum Disorder using fMRI data
arxiv:1904.07577 v1 · 2019-04-16 · cs.LG · eess.IV · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GRHDG57AFQNW5LZPY4LSBKDLS4}
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 | 2026-05-17T23:48:24.797218Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
344e3377e02c1b6eaf2fc71720a86b972ea12a254530fd8d257a3db2f0817244
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GRHDG57AFQNW5LZPY4LSBKDLS4 \
| 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: 344e3377e02c1b6eaf2fc71720a86b972ea12a254530fd8d257a3db2f0817244
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7e8d183f127e9146d8256730bc9490eb473cdd9a18f0729b06af34ed5a1e1218",
"cross_cats_sorted": [
"eess.IV",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-04-16T10:19:58Z",
"title_canon_sha256": "68ba521076f6aacf1c5f8c196ac84a95bd9258d86ffbd026e1698f9ae017033b"
},
"schema_version": "1.0",
"source": {
"id": "1904.07577",
"kind": "arxiv",
"version": 1
}
}