CiteFusion Experimental Notebooks
Open accessAbstract
Experimental Notebooks for Citation Intent Classification with CiteFusion on SciCite and ACL-ARC datasets (4 notebooks in total).Notebooks contain results andd methodological implementations, for any question you are free to send an email.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
All code and models developed in this study, including versions tailored for both the with-section-titles (WS) and without-section-titles (WoS) settings, are publicly released.
“we publicly release all code (Paolini, 2024d) and models developed during this study, including versions tailored for both with section titles (WS) and without section titles (WoS) settings:”
From CiteFusion: an ensemble framework for citation intent classification harnessing dual-model binary couples and SHAP analyses (2025) · cites this paper as Paolini, 2024d
No citation lists for this paper
No citation lists for this paper yet — checked again daily.
Cited by 1
- Authors
- Paolini, L.
- Affiliations
- OpenCitations (IT)
- Corresponding author
- Paolini, Lorenzo
- ORCID
- Paolini, Lorenzo
- Venue
- Zenodo
- Publisher
- Zenodo
- Published
- 2025-03-07
- OpenAlex
- W6949251980
- Cited by
- 1
- References
- 0
- Citations by year
- 2025: 1
- FWCI
- 0.08
- Type
- book
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Zenodo (CERN European Organization for Nuclear Research) (cc-by)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
- Keywords
- citation intent classification
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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