Pith Number
pith:JDYFQD5W
pith:2024:JDYFQD5WYK43PNNZOJCTKBD67B
not attested
not anchored
not stored
refs pending
How Effectively Do LLMs Extract Feature-Sentiment Pairs from App Reviews?
arxiv:2409.07162 v3 · 2024-09-11 · cs.CL · cs.SE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JDYFQD5WYK43PNNZOJCTKBD67B}
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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.
Cited by
Enhancing Granular Sentiment Classification with Chain-of-Thought Prompting in Large Language Models
Receipt and verification
| First computed | 2026-07-05T10:11:24.175425Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
48f0580fb6c2b9b7b5b9724535047ef8696475e91608e9efc3572d19f7674cb9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JDYFQD5WYK43PNNZOJCTKBD67B \
| 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: 48f0580fb6c2b9b7b5b9724535047ef8696475e91608e9efc3572d19f7674cb9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "32ab4492a4197fd9ec1c3ceab9d9f24de8fd84d73e773ffe4cce728de000e6df",
"cross_cats_sorted": [
"cs.SE"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-09-11T10:21:13Z",
"title_canon_sha256": "d66999ee57fa1a1209ed29115989666ddb74d62d80d69b4859312b8f5b7bb166"
},
"schema_version": "1.0",
"source": {
"id": "2409.07162",
"kind": "arxiv",
"version": 3
}
}