Pith Number
pith:JAYLD4RE
pith:2025:JAYLD4REJRAOMYPBDLWPTYWXB2
not attested
not anchored
not stored
refs pending
Leveraging large language models and traditional machine learning ensembles for ADHD detection from narrative transcripts
arxiv:2505.21324 v1 · 2025-05-27 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JAYLD4REJRAOMYPBDLWPTYWXB2}
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 | 2026-07-05T11:10:40.244471Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4830b1f2244c40e661e11aecf9e2d70e86c402151ef2033215089480db5e45af
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JAYLD4REJRAOMYPBDLWPTYWXB2 \
| 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: 4830b1f2244c40e661e11aecf9e2d70e86c402151ef2033215089480db5e45af
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "293351d05951711e27135a29d451e618a07c58cf465ac799ab604c351f6f501b",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-05-27T15:22:01Z",
"title_canon_sha256": "d71881a81c15afcd751c890bc3a8024e1fbd6b01a6f3642e6fd6b8f3c138d7e9"
},
"schema_version": "1.0",
"source": {
"id": "2505.21324",
"kind": "arxiv",
"version": 1
}
}