Paper Citation Record · LEDGER

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring?

As of 21 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2504.21330.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.21330 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:10:56.259631Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

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External citation measurements

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Outbound references

Observation 87d6baba-0e8a-4d07-9bc5-285abac1eb5f · outbound

This paper cites Creative Edu cation 15(7), 1499–1523 (2024).

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? Creative Edu cation 15(7), 1499–1523 (2024)

Reference 1

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Observation 5af7011e-6886-4730-bb9b-cbaa00ce1e82 · outbound

This paper cites Ai magazine 25(3), 27–27 (2004).

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? Ai magazine 25(3), 27–27 (2004)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:56.914499Z

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Observation 04f8f6e5-02da-4236-87d5-d543e4537c85 · outbound

This paper cites Unleashing the potential of prompt engineering for large language models.

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? Unleashing the potential of prompt engineering for large language models

Reference 3

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This paper cites A Systematic Review on Prompt Engineering in Large Language Models for K-12 STEM Education.

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? A Systematic Review on Prompt Engineering in Large Language Models for K-12 STEM Education

Reference 4

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This paper cites In: Proceedings of the 2013 conference on empirical me thods in natural language processing.

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? In: Proceedings of the 2013 conference on empirical me thods in natural language processing

Reference 5

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Observation a08a39f7-2841-4769-9795-04a168d04c36 · outbound

This paper cites Assessing Writing 61, 100865 (2024).

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? Assessing Writing 61, 100865 (2024)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:56.878817Z

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Observation 79fb8be2-a9ec-4f2d-bdcf-0ca6f18ddf04 · outbound

This paper cites research notes.

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? research notes

Reference 7

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Observation 3d8fc04d-ab4c-40b9-a43e-024920e0a338 · outbound

This paper cites I n: 16th International Conference on Educational Data Mining, EDM 2023.

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? I n: 16th International Conference on Educational Data Mining, EDM 2023

Reference 8

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This paper cites In: Proceedings of the 21s t conference on com- putational natural language learning (CoNLL 2017).

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? In: Proceedings of the 21s t conference on com- putational natural language learning (CoNLL 2017)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:56.826775Z

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Observation 655c7c81-0ba6-49b0-b8b2-467ff1b68a62 · outbound

This paper cites Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned.

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 10

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This paper cites Science & Edu cation pp.

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? Science & Edu cation pp

Reference 11

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This paper cites Canadian Journal o f Education/Revue cana- dienne de l’éducation pp.

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? Canadian Journal o f Education/Revue cana- dienne de l’éducation pp

Reference 12

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Observation fba3faa8-72e0-4fde-8f53-9bee21857c9a · outbound

This paper cites In: Proceedings of t he 19th Workshop on Innovative Use of NLP for Building Educational Application s (BEA 2024).

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? In: Proceedings of t he 19th Workshop on Innovative Use of NLP for Building Educational Application s (BEA 2024)

Reference 13

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Observation d41f5e33-6aa4-4510-9caa-86571cb5f5ac · outbound

This paper cites In: 2021 International Conference on Computer, Information an d Telecommunication Systems (CITS).

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? In: 2021 International Conference on Computer, Information an d Telecommunication Systems (CITS)

Reference 14

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Observation 856fe7f9-d237-443a-8ba6-625c70de0c95 · outbound

This paper cites In: Pro ceedings of the 2022 CHI conference on human factors in computing systems.

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? In: Pro ceedings of the 2022 CHI conference on human factors in computing systems

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:56.738982Z

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Observation 95219adc-4819-40b3-a1fb-c7f0010ba650 · outbound

This paper cites Comp uters and Education: Artiﬁcial Intelligence 4, 100140 (2023) 14 K.

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? Comp uters and Education: Artiﬁcial Intelligence 4, 100140 (2023) 14 K

Reference 16

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Observation e2ce6388-7f4d-4608-97bf-5bcb7fdf8fb9 · outbound

This paper cites In: Inter- national Conference on Artiﬁcial Intelligence in Educatio n.

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? In: Inter- national Conference on Artiﬁcial Intelligence in Educatio n

Reference 17

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This paper cites In: Proceedings of the fo urteenth workshop on innovative use of NLP for building educational application s.

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? In: Proceedings of the fo urteenth workshop on innovative use of NLP for building educational application s

Reference 18

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Observation 4655cecb-6f17-497e-a258-96d1cc5058a6 · outbound

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Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? Unresolved cited work

Reference 19

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Observation ece98d31-7645-4c2f-897c-bbb9a18ebb8a · outbound

This paper cites ACM computing survey s (CSUR) 54(6), 1–35 (2021).

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? ACM computing survey s (CSUR) 54(6), 1–35 (2021)

Reference 20

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Observation 55aa6e8a-125a-46d9-ae23-b2c3beb2d497 · outbound

This paper cites , Lieb, M., White, J.: Evaluating persona prompting for question answering tasks.

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? , Lieb, M., White, J.: Evaluating persona prompting for question answering tasks

Reference 21

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Observation a1352230-bc33-46fa-b71a-ab1e32bda195 · outbound

This paper cites Language models and Automated Essay Scoring.

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? Language models and Automated Essay Scoring

Reference 22

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This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 23

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This paper cites In: Proceedings of the 19th Workshop o n Innovative Use of NLP for Building Educational Applications (BEA 2024).

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? In: Proceedings of the 19th Workshop o n Innovative Use of NLP for Building Educational Applications (BEA 2024)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:56.616344Z

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Observation 209ade86-5d99-4bf6-93fe-dfa9ee6ca0d9 · outbound

This paper cites In : International Conference on Computational Linguistics 2022.

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? In : International Conference on Computational Linguistics 2022

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:56.600569Z

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Observation 8e6d914b-a1d1-4925-87da-44adfd942271 · outbound

This paper cites Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation.

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation

Reference 26

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Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? In: Pro- ceedings of the 2016 conference on empirical methods in natu ral language process- ing

Reference 27

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This paper cites In: Proceedings of the 16th Conference of t he European Chapter of the Association for Computational Linguistics: Main Vol ume.

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? In: Proceedings of the 16th Conference of t he European Chapter of the Association for Computational Linguistics: Main Vol ume

Reference 28

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This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 29

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This paper cites Educational measurement: issues and prac tice 31(1), 2–13 (2012).

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? Educational measurement: issues and prac tice 31(1), 2–13 (2012)

Reference 30

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Observation c30c3c65-7c01-4ad8-86b5-608712de894e · outbound

This paper cites In: Proceedings of the 15th International Learning Analytics and Knowledge Conference.

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? In: Proceedings of the 15th International Learning Analytics and Knowledge Conference

Reference 31

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Observation 415f2d02-c1d4-4012-a095-681b3262dbdf · outbound

This paper cites Nature Human Be haviour 8(10), 1839– 1850 (2024).

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? Nature Human Be haviour 8(10), 1839– 1850 (2024)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:56.519479Z

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Observation f21f1e9a-fa19-47d4-b50b-be25fe7d1304 · outbound

This paper cites In: Proceedings of the 18th Workshop o n Innovative Use of NLP for Building Educational Applications (BEA 2023).

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? In: Proceedings of the 18th Workshop o n Innovative Use of NLP for Building Educational Applications (BEA 2023)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:56.501108Z

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Observation 88eead3c-4277-4e7d-a78a-2d290c84e599 · outbound

This paper cites In: Proceedings of the AAA I Conference on Artiﬁcial Intelligence.

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? In: Proceedings of the AAA I Conference on Artiﬁcial Intelligence

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:56.482390Z

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Observation f12c2d6a-7d63-454b-887e-9b706bad99f3 · outbound

This paper cites In: Findings of the Association for Computational Linguis- tics: EMNLP 2020.

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? In: Findings of the Association for Computational Linguis- tics: EMNLP 2020

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:56.464070Z

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Observation ddda3e23-fd7a-4071-ace7-0d84808e47b1 · outbound

This paper cites Reading and Writing 34(3), 705–725 (2021).

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? Reading and Writing 34(3), 705–725 (2021)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:56.447900Z

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Observation fe09b960-fc88-474a-8bc3-24eeabece4e4 · outbound

This paper cites In: International Conferen ce on Artiﬁcial Intelli- gence in Education.

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? In: International Conferen ce on Artiﬁcial Intelli- gence in Education

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:56.430720Z

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Observation 5754548d-0da4-4e40-868e-b6b769fa72dc · outbound

This paper cites In: Proceedings of the tenth workshop o n innovative use of NLP for building educational applications.

Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring? In: Proceedings of the tenth workshop o n innovative use of NLP for building educational applications

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:56.414888Z

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Pith citing papers

No inbound Pith citation observations are available.