Pith Number
pith:SPJCY2GE
pith:2026:SPJCY2GETLJ5CJBLRNXAOSAVMM
not attested
not anchored
not stored
refs pending
Automated Scoring of Arabic Text Using Large Language Models: A Literature Review
arxiv:2606.09830 v1 · 2026-04-10 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SPJCY2GETLJ5CJBLRNXAOSAVMM}
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 | 2026-06-10T00:08:27.370272Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
93d22c68c49ad3d1242b8b6e074815631c45e18f819c552127dab67c0d8b7cce
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SPJCY2GETLJ5CJBLRNXAOSAVMM \
| 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: 93d22c68c49ad3d1242b8b6e074815631c45e18f819c552127dab67c0d8b7cce
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "851e2ac1b738534967817afcf5ab53d2b4211fcf074936c1b7be361fb18530bf",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2026-04-10T21:47:28Z",
"title_canon_sha256": "9f855a6d9024d8754955121ae8b0fd9bb4a8723a0b12cb0d18ae2d93a7591b39"
},
"schema_version": "1.0",
"source": {
"id": "2606.09830",
"kind": "arxiv",
"version": 1
}
}