Pith Number
pith:OBX3I3JN
pith:2024:OBX3I3JNXPIUJQO7K7P2WYQTCO
not attested
not anchored
not stored
refs pending
A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information
arxiv:2412.16874 v4 · 2024-12-22 · cs.AI · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OBX3I3JNXPIUJQO7K7P2WYQTCO}
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 | 2026-07-05T10:54:40.813656Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
706fb46d2dbbd144c1df57dfab621313864b0a6a4e5f4af45aac557243c4eb10
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OBX3I3JNXPIUJQO7K7P2WYQTCO \
| 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: 706fb46d2dbbd144c1df57dfab621313864b0a6a4e5f4af45aac557243c4eb10
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "70b2775c3ea79d15017f2869807ede671971e8f70ac891f2752b02586a0fc7cb",
"cross_cats_sorted": [
"eess.AS"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2024-12-22T06:08:35Z",
"title_canon_sha256": "1711f9dd90c9475620e379d6ad4852bc13df8acd1c41e0c23af627d9288ac491"
},
"schema_version": "1.0",
"source": {
"id": "2412.16874",
"kind": "arxiv",
"version": 4
}
}