Paper Citation Record · LEDGER

Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training

As of 17 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 4 inbound Pith citation observations for arXiv:2501.06658.

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

pith.paper-citation-record.v1
2501.06658 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:58:30.036313Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:15:28.739449Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T04:05:58.158813Z

Reference resolution

17 of 17 outbound references displayed

verified exact1
verified fuzzy11
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f264e67-4753-4fe4-8278-6ca87417590e · outbound

This paper cites Chatbot interaction with artificial intelligence: human data augmentation with t5 and language transformer ensemble for text classification.

Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training Chatbot interaction with artificial intelligence: human data augmentation with t5 and language transformer ensemble for text classification

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:30.749445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 82e7386e-aca7-488a-affe-7e91b23cc2f7 · outbound

This paper cites an unresolved cited work.

Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:58:30.639667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d5ad787d-caa9-43d5-b405-31a805dc592d · outbound

This paper cites Language Models are Few-Shot Learners.

Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training Language Models are Few-Shot Learners

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T20:58:29.519913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33a6939c-fc9e-4c2a-9887-2f40b07e6707 · outbound

This paper cites PTT5: Pretraining and validating the T5 model on Brazilian Portuguese data.

Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training PTT5: Pretraining and validating the T5 model on Brazilian Portuguese data

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T20:58:29.622345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c19625db-c59f-4029-b76a-b2ce230c1228 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T20:58:29.675464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d870744f-6dec-4e4b-b645-780a9e9bca4d · outbound

This paper cites A systematic review on machine learning models for online learning and examination systems.

Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training A systematic review on machine learning models for online learning and examination systems

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:30.623257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 78cfabf8-9081-4f71-af78-b94fc09138ba · outbound

This paper cites Using Large Language Models to Assess Tutors' Performance in Reacting to Students Making Math Errors.

Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training Using Large Language Models to Assess Tutors' Performance in Reacting to Students Making Math Errors

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:58:30.100981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 73b9b660-10c5-4a95-8a1f-25a80311afa2 · outbound

This paper cites A survey of gpt-3 family large language models including chatgpt and gpt-4.

Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training A survey of gpt-3 family large language models including chatgpt and gpt-4

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:30.607334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fca00ae9-53fa-48ed-8619-9886df56ea2d · outbound

This paper cites An improved aspect-category sentiment analysis model for text sentiment analysis based on roberta.

Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training An improved aspect-category sentiment analysis model for text sentiment analysis based on roberta

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:30.593657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1e63a663-d6a1-49d1-a430-da7c94596f2b · outbound

This paper cites How can i get it right? using gpt to rephrase incorrect trainee responses.

Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training How can i get it right? using gpt to rephrase incorrect trainee responses

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:30.575617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c032cf83-59cd-454c-82f4-bfe332baa400 · outbound

This paper cites When the tutor becomes the student: Design and evaluation of efficient scenario-based lessons for tutors.

Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training When the tutor becomes the student: Design and evaluation of efficient scenario-based lessons for tutors

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:30.443424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 205fccf9-e361-4279-8652-9ffb57ba90f3 · outbound

This paper cites Do Tutors Learn from Equity Training and Can Generative AI Assess It?.

Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training Do Tutors Learn from Equity Training and Can Generative AI Assess It?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T20:58:29.707015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f53be87c-17be-4134-8095-dbf12c2a0288 · outbound

This paper cites Beyond the rubric: Classroom assessment tools and assessment practice.

Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training Beyond the rubric: Classroom assessment tools and assessment practice

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:30.343776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bbd248e6-9de7-4a3f-b1b6-f167885eeb6e · outbound

This paper cites Five ways to look at cohen's kappa.

Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training Five ways to look at cohen's kappa

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:30.328882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 61f4e4cd-7bc1-4887-9416-c9c35887c29e · outbound

This paper cites Ai and machine learning for next generation sci-ence assessments.

Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training Ai and machine learning for next generation sci-ence assessments

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:30.314858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ad4e0375-dc6f-4107-ada9-c2075910d820 · outbound

This paper cites Applying machine learning in science assessment: a systematic review.

Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training Applying machine learning in science assessment: a systematic review

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:30.300891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1e5decda-6452-4d66-9253-36229a57a8de · outbound

This paper cites Using large language models to detect self-regulated learning in think-aloud protocols.

Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training Using large language models to detect self-regulated learning in think-aloud protocols

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:58:30.221386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation f03c13f5-171d-4d6a-beef-365ede511696 · inbound

Exploring LLM-Generated Feedback for Economics Essays: How Teaching Assistants Evaluate and Envision Its Use cites this paper.

Exploring LLM-Generated Feedback for Economics Essays: How Teaching Assistants Evaluate and Envision Its Use Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:16:00.585500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de3fccfa-96fc-487b-9d92-1fa5ee7efbd7 · inbound

Quality-Conditioned Agreement in Automated Short Answer Scoring: Mid-Range Degradation and the Impact of Task-Specific Adaptation cites this paper.

Quality-Conditioned Agreement in Automated Short Answer Scoring: Mid-Range Degradation and the Impact of Task-Specific Adaptation Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:05:58.166064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 430478d8-6d21-4a35-8404-42feb41de2fa · inbound

Assessment in Team Problem-Solving Exercises in Computing Education cites this paper.

Assessment in Team Problem-Solving Exercises in Computing Education Comparing Few-Shot Prompting of GPT-4 LLMs with BERT Classifiers for Open-Response Assessment in Tutor Equity Training

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T13:10:36.620280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aba8af69-4b1e-46e1-a80f-17f35040d5cf · inbound

Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses cites this paper.

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

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-14T04:15:28.739449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.