Pith Number
pith:7VF7EEWE
pith:2026:7VF7EEWEYMFYFVJL77COJ6LZJI
not attested
not anchored
not stored
refs pending
A Finetuned SpeechLLM for Joint Multi-Granular L2 Assessment and Natural-Language Rationales
arxiv:2606.09470 v1 · 2026-06-08 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7VF7EEWEYMFYFVJL77COJ6LZJI}
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
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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 | 2026-06-09T02:08:50.300949Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fd4bf212c4c30b82d52bffc4e4f9794a289402d4d65dfe60d0a282f178a4e7f4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7VF7EEWEYMFYFVJL77COJ6LZJI \
| 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: fd4bf212c4c30b82d52bffc4e4f9794a289402d4d65dfe60d0a282f178a4e7f4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7c61733dc7162ff94eb0a6864fc68b8ed7d1ddc82e99e49e0410e8ce6cd4c80b",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2026-06-08T13:27:40Z",
"title_canon_sha256": "aa23d269538ff4cd476d1e51d23dd06a4bc73ef6de80c751ddf72c8a58f7c151"
},
"schema_version": "1.0",
"source": {
"id": "2606.09470",
"kind": "arxiv",
"version": 1
}
}