Pith Number
pith:CS7LP2DO
pith:2024:CS7LP2DOCNNCQ2TTAIE4TLCXBQ
not attested
not anchored
not stored
refs pending
Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health
arxiv:2408.07313 v1 · 2024-08-14 · cs.HC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CS7LP2DOCNNCQ2TTAIE4TLCXBQ}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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Internet Archive
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claim
4
Citations
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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 | 2026-07-05T08:55:13.826373Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
14beb7e86e135a286a730209c9ac570c003d773c8be9478603f48bd371ccbb87
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CS7LP2DOCNNCQ2TTAIE4TLCXBQ \
| 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: 14beb7e86e135a286a730209c9ac570c003d773c8be9478603f48bd371ccbb87
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9b9c3826103d9bdcb015337e8841dbc2db8b0e1ad5e246c30c339c2ac7d863ce",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.HC",
"submitted_at": "2024-08-14T06:14:02Z",
"title_canon_sha256": "db23f750c62310e9e15ad9a5ce3b90a4cc7a97ee075591bf29f60cf70ef7c537"
},
"schema_version": "1.0",
"source": {
"id": "2408.07313",
"kind": "arxiv",
"version": 1
}
}