pith:TANZ5ZWV
Crystal: Characterizing Relative Impact of Scholarly Publications
Crystal improves citation impact classification by jointly ranking all references with LLMs and majority voting.
arxiv:2603.26791 v3 · 2026-03-25 · cs.DL · cs.AI · cs.CL · cs.CY
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Record completeness
Claims
Crystal outperforms a prior state-of-the-art impact classifier by +9.5% accuracy and +8.3% F1 on a dataset of human-annotated citations.
That prompting an LLM to jointly rank all cited papers and aggregating via majority vote produces labels that reliably match human judgments of relative scholarly impact.
Crystal jointly ranks cited papers' impact within each citing paper via LLMs with randomized ordering and majority voting, improving accuracy by 9.5% over prior classifiers on human-annotated data.
Formal links
Receipt and verification
| First computed | 2026-06-03T02:05:47.299116Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
981b9ee6d5542e06547c54ad0ba4d43bf1afe5542c87c2a930e45fd1fe94752d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TANZ5ZWVKQXAMVD4KSWQXJGUHP \
| 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: 981b9ee6d5542e06547c54ad0ba4d43bf1afe5542c87c2a930e45fd1fe94752d
Canonical record JSON
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