Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T04:15:28.824502Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2608.10276.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T04:15:28.824502Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
57 of 57 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 675e86d8-6747-45bb-b835-14ca4963655c · outbound
Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses 1980 , publisher=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses 2000 , publisher=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Beliefs about teaching: Persistent or malleable? A longitudinal study of prospective student teachers' beliefs , journal =
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Teaching and Teacher Education , volume =
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses The Journal of Mathematical Behavior , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Educational Studies in Mathematics , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Educational Studies in Mathematics , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses European Journal of Science and Mathematics Education , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Journal of Humanistic Mathematics , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Journal of Mathematics Teacher Education , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Joseph Merlino , title =
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Australian Mathematics Teachers , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Yee , title =
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses School Science and Mathematics , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses School science and mathematics , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Learning and Individual Differences , volume=
Reference 16
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses ACM Transactions on Interactive Intelligent Systems (TiiS) , volume=
Reference 17
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Companion proceedings of the 28th international conference on intelligent user interfaces , pages=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Proceedings of the Association for Information Science and Technology , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Social Science Computer Review , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses International Journal of Qualitative Methods , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses EDT: Improving Large Language Models' Generation by Entropy-based Dynamic Temperature Sampling
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Proceedings of the 55th ACM Technical Symposium on Computer Science Education V
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Unresolved cited work
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Unresolved cited work
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Information processing & management , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Applied Intelligence , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Advances in neural information processing systems , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Unresolved cited work
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Unresolved cited work
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Unresolved cited work
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Psychometrika , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Neural computation , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Journal of Machine Learning Research , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Open, Closed, or Small Language Models for Text Classification?
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Journal of Computational Social Science , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Fine-Tuned 'Small' LLMs (Still) Significantly Outperform Zero-Shot Generative AI Models in Text Classification
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses EPJ Data Science , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses 2010 , school=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses IEEE transactions on knowledge and data engineering , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Information retrieval , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Unresolved cited work
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Open-Source LLMs for Text Annotation: A Practical Guide for Model Setting and Fine-Tuning
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses British journal of educational technology , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses British Journal of Educational Technology , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Nature , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Motivation and disposition: Pathways to learning mathematics , pages=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses 2012 , publisher=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Nature Machine Intelligence , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Investigations in Mathematics Learning , volume=
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses Unresolved cited work
Reference 57
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Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.