Pith Number
pith:72Q5IK5L
pith:2023:72Q5IK5LSA2N6GOWUJPRUPT72Q
not attested
not anchored
not stored
refs pending
NollySenti: Leveraging Transfer Learning and Machine Translation for Nigerian Movie Sentiment Classification
arxiv:2305.10971 v2 · 2023-05-18 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{72Q5IK5LSA2N6GOWUJPRUPT72Q}
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
· sign in to
claim
4
Citations
5
Replications
✓
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T06:43:23.300613Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fea1d42bab9034df19d6a25f1a3e7fd41d75f4b955ef82fe84503fa77bc921a7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/72Q5IK5LSA2N6GOWUJPRUPT72Q \
| 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: fea1d42bab9034df19d6a25f1a3e7fd41d75f4b955ef82fe84503fa77bc921a7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3e4a1bd1228587e7f8e86c1b710d102341cb9078d624fb61439969dcfc338a59",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-05-18T13:38:36Z",
"title_canon_sha256": "9fd5f1550a8fc3d07c82608ed989c9fd71d0d089e263d8dc9164bdb6b8254a00"
},
"schema_version": "1.0",
"source": {
"id": "2305.10971",
"kind": "arxiv",
"version": 2
}
}