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Paper Citation Record · LEDGER

CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2602.20020.

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

pith.paper-citation-record.v1
2602.20020 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:29:27.647099Z

measured 39 of 39 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Reference resolution

39 of 39 outbound references displayed

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Outbound references

Observation 557efbb5-96c0-4262-9b99-c80f908c683c · outbound

This paper cites GPT-4 Technical Report.

CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems GPT-4 Technical Report

Reference 1

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Observation c058ff7d-c51c-4b23-8333-7bdcaea1e2d5 · outbound

This paper cites A Survey on Data Selection for Language Models.

CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems A Survey on Data Selection for Language Models

Reference 2

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Observation 5ab8642e-ec4e-4495-a1c0-0ccd04daa883 · outbound

This paper cites In: Noise reduction in speech processing, pp.

CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems In: Noise reduction in speech processing, pp

Reference 3

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Observation 736bf678-b393-43d6-9586-8da25a0776eb · outbound

This paper cites Online (2021), https://sites.google.com/ncsu.edu/ csedm-dc-2021/, accessed: 2025-12-17.

CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems Online (2021), https://sites.google.com/ncsu.edu/ csedm-dc-2021/, accessed: 2025-12-17

Reference 4

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Observation 8fa8bd2e-7394-4bc9-90a4-1c4851879093 · outbound

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CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems Unresolved cited work

Reference 5

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Observation c9c28c96-c640-4438-bf49-4a11dae9fcad · outbound

This paper cites In: Findings of the Association for Computational Linguistics: EMNLP 2024.

CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems In: Findings of the Association for Computational Linguistics: EMNLP 2024

Reference 6

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Observation a9a344d4-1c2c-43fd-93c7-1ed55210bacb · outbound

This paper cites Oxford University Press (2010).

CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems Oxford University Press (2010)

Reference 7

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Observation 92fc29c4-142a-4060-9443-afbaf6922274 · outbound

This paper cites Automated Knowledge Component Generation for Interpretable Knowledge Tracing in Coding Problems.

CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems Automated Knowledge Component Generation for Interpretable Knowledge Tracing in Coding Problems

Reference 8

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Observation 7858587e-7987-4b64-927d-4402a08ac6e3 · outbound

This paper cites arXiv e-prints pp.

CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems arXiv e-prints pp

Reference 9

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This paper cites In: Second Joint Conference on Lexical and Computational Semantics (*SEM), V olume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013).

CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems In: Second Joint Conference on Lexical and Computational Semantics (*SEM), V olume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)

Reference 10

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Observation 65fb8ef8-9369-4ffc-a65c-5d4a8a8d8817 · outbound

This paper cites In: Proceedings of the 2017 ACM conference on innovation and technology in computer science education.

CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems In: Proceedings of the 2017 ACM conference on innovation and technology in computer science education

Reference 11

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Observation 3154ae10-88a9-4530-b958-dfeeceee186a · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 12

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Observation 2b64e27c-f91b-4df4-9361-4f3618ba6b9d · outbound

This paper cites BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing.

CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing

Reference 13

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This paper cites Journal of educational evaluation for health professions15(2018).

CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems Journal of educational evaluation for health professions15(2018)

Reference 14

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Observation cca39c32-f4d3-467a-aa42-41b03a108dfa · outbound

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CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems In: Acm Sigir Forum

Reference 15

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Observation f321a52f-45ef-4be3-80d3-ef9fc7d6c338 · outbound

This paper cites Psychometrika63(2), 201–216 (1998).

CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems Psychometrika63(2), 201–216 (1998)

Reference 16

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Observation 59491027-034b-4295-a9a8-7dc34e220b6e · outbound

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CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems Unresolved cited work

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Observation 568230d7-eca2-43fd-b69d-c71b25b94597 · outbound

This paper cites In: Elements of adaptive testing, pp.

CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems In: Elements of adaptive testing, pp

Reference 18

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Observation fd1081a7-78a9-40d4-a296-82d891a418af · outbound

This paper cites In: Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021).

CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems In: Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)

Reference 19

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Observation 943c60a6-9b0d-4f0a-a3f7-61b874fd54e0 · outbound

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CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems Routledge (2012)

Reference 20

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Observation 94173828-2a6c-49e1-a256-1c7e49250c0e · outbound

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CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems research report 2011-12

Reference 21

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Observation d60b6574-f185-4752-a08a-40bd7274ca12 · outbound

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CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems https://nces.ed.gov/nationsreportcard/ (2022), u.S

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Observation 5d9b38b1-cef7-4a51-810e-957982bfbb8c · outbound

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CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems SIAM (2006) 10 arXivTemplateA PREPRINT

Reference 23

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Observation e3492926-bdbf-4cd4-bfc5-b66a733b3739 · outbound

This paper cites Advances in neural information processing systems36, 53728–53741 (2023).

CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems Advances in neural information processing systems36, 53728–53741 (2023)

Reference 24

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Observation 3f62e201-ed0e-4715-8136-68506725545d · outbound

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CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems ERIC (1993)

Reference 25

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Observation c2d2b716-f4e2-4550-8070-af70e009f709 · outbound

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CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems In: Multidimensional item response theory, pp

Reference 26

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Observation 3f261076-9766-4e09-8a3d-014fd25f76cb · outbound

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CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Reference 27

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CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems In: Proceedings of the 15th International Learning Analytics and Knowledge Conference

Reference 28

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CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems In: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

Reference 29

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CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems Journal of Educational Measurement53(3), 332–351 (2016)

Reference 30

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CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems Journal of Writing Assessment1(1) (2012)

Reference 31

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CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems In: Proceedings of the 15th International Conference on Educational Data Mining

Reference 32

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CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Reference 33

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CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems A Survey of Active Learning for Natural Language Processing

Reference 34

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CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems In: Proceedings of the AAAI conference on artificial intelligence

Reference 35

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CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems Correct” (1) and “Incorrect

Reference 36

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CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems If a student is unlikely to have knowledge of KCs, the generated code may be incomplete

Reference 37

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Observation 9167f674-37c5-4393-b673-9adf23f9e2cd · outbound

This paper cites an unresolved cited work.

CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-02T21:29:27.561406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:29:27.561406Z digest=sha256:11ee9c82abb8bc7ba527caae1181333f24ab7542bd9ba67844c52b71456194b7

Observation f8db1d9e-c0ea-40db-8f23-38244b177589 · outbound

This paper cites The goal is to produce plausible student code influenced by the provided knowledges.

CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems The goal is to produce plausible student code influenced by the provided knowledges

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-02T21:29:27.647099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:29:27.647099Z digest=sha256:cee8ed3508d517b1776320e4712ade33b032d1749941373b28a43d32882d839b

Pith citing papers

No inbound Pith citation observations are available.