Pith Number
pith:GDGJFLMJ
pith:2023:GDGJFLMJBTK7OQYT7EBXHGTSJF
not attested
not anchored
not stored
refs pending
How Good are Commercial Large Language Models on African Languages?
arxiv:2305.06530 v1 · 2023-05-11 · cs.CL · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GDGJFLMJBTK7OQYT7EBXHGTSJF}
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 | 2026-07-05T06:09:13.452066Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
30cc92ad890cd5f74313f903739a72494fa87fbb0e0443bfb3900f11fe2457bd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GDGJFLMJBTK7OQYT7EBXHGTSJF \
| 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: 30cc92ad890cd5f74313f903739a72494fa87fbb0e0443bfb3900f11fe2457bd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c4dc5ffdff6598dd4137c72a37335aecac9e6a9dbb3c7f3322054dff54aa3ddd",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-05-11T02:29:53Z",
"title_canon_sha256": "35a11078d7aaaa7f292135155c0b138a5a734c50c4f6bcb622bfbd0f25af05a7"
},
"schema_version": "1.0",
"source": {
"id": "2305.06530",
"kind": "arxiv",
"version": 1
}
}