Paper Citation Record · LEDGER

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study

As of 8 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2507.04043.

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

pith.paper-citation-record.v1
2507.04043 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:59:20.119712Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

36 of 36 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4ec48a25-ca9e-47bb-b2ff-90eb4db28346 · outbound

This paper cites GPT-4 Technical Report.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

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Observation 3c6c02e1-743a-4abc-baa0-89de99513b71 · outbound

This paper cites AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic Papers.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic Papers

Reference 2

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This paper cites Conversational agents in education–a systematic literature review,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study Conversational agents in education–a systematic literature review,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:26.830684Z

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Observation 54d53929-1db1-4bc4-bd3e-949693df5090 · outbound

This paper cites AI-Assisted Coding: Friend or Foe?.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study AI-Assisted Coding: Friend or Foe?

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:26.611868Z

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Observation 51f4bb04-6c01-47e7-b448-684032d21387 · outbound

This paper cites From automation to cognition: Redefining the roles of educators and generative ai in computing education,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study From automation to cognition: Redefining the roles of educators and generative ai in computing education,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:26.425125Z

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Observation 46703fd5-36fb-4a0e-9420-7bbb9e3783bd · outbound

This paper cites Toursynbio-search: A large language model driven agent framework for unified search method for protein engineering,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study Toursynbio-search: A large language model driven agent framework for unified search method for protein engineering,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:26.163002Z

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Observation e180cada-2e6f-4906-b13b-d1b773cf600e · outbound

This paper cites Toursynbio: A multi-modal large model and agent frame- work to bridge text and protein sequences for protein engineering,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study Toursynbio: A multi-modal large model and agent frame- work to bridge text and protein sequences for protein engineering,

Reference 7

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Observation e6c1b3a5-37eb-4c01-b4f8-882eb54d9aad · outbound

This paper cites A fine-tuning dataset and benchmark for large language models for protein understanding,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study A fine-tuning dataset and benchmark for large language models for protein understanding,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:25.871999Z

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Observation 595d368f-342c-4d34-ac61-c5fb5072c542 · outbound

This paper cites Autom3l: An automated multimodal machine learning framework with large language models,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study Autom3l: An automated multimodal machine learning framework with large language models,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:25.657729Z

Source-reported events for the cited work

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Observation 3e43ee96-b8e1-44e1-9e5b-d73c7eb36fe5 · outbound

This paper cites The effectiveness of chatgpt in assisting high school students in programming learning: evidence from a quasi-experimental research,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study The effectiveness of chatgpt in assisting high school students in programming learning: evidence from a quasi-experimental research,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:25.464713Z

Source-reported events for the cited work

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Observation d0af7f88-8dda-44f9-9707-c94d93af00a2 · outbound

This paper cites Exploring the potential of large language models in radiological imaging systems: improving user interface design and functional capabilities,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study Exploring the potential of large language models in radiological imaging systems: improving user interface design and functional capabilities,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:25.293732Z

Source-reported events for the cited work

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Observation fd50abf8-e1d3-4af6-8102-458c265a60ad · outbound

This paper cites Would chatgpt-facilitated programming mode impact college students’ programming behaviors, performances, and perceptions? an empirical study,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study Would chatgpt-facilitated programming mode impact college students’ programming behaviors, performances, and perceptions? an empirical study,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:25.060780Z

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Observation a8dd74da-82ce-4c8a-912f-4c72fd0d68f2 · outbound

This paper cites Why and when llm- based assistants can go wrong: Investigating the effectiveness of prompt- based interactions for software help-seeking,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study Why and when llm- based assistants can go wrong: Investigating the effectiveness of prompt- based interactions for software help-seeking,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:24.823897Z

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Observation 65a8326c-8bbb-42b1-9af6-0b36b8d91890 · outbound

This paper cites Human- ai experience in integrated development environments: A systematic literature review,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study Human- ai experience in integrated development environments: A systematic literature review,

Reference 14

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Source-reported events for the cited work

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Observation 97c3f2ed-89fe-47c9-a5d5-d4428bf49840 · outbound

This paper cites From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 15

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Source-reported events for the cited work

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Observation eb91300a-9634-49c2-b391-38948a3b7d63 · outbound

This paper cites Chatcivic: A domain-specific large language model (llm) for design code interpretation,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study Chatcivic: A domain-specific large language model (llm) for design code interpretation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:24.721191Z

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Observation 04317594-7f1d-438e-b0ab-8079fa4aac5b · outbound

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Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study Proteinengine: Empower llm with domain knowledge for protein engineering,

Reference 17

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Observation ac1c15c3-9ea0-4d73-b19b-fe1b764bceca · outbound

This paper cites Student-ai interaction: A case study of cs1 students,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study Student-ai interaction: A case study of cs1 students,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:24.352776Z

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Observation bbf0691d-d3bd-4ab7-9c8f-3ea64de1292c · outbound

This paper cites From Generation to Adaptation: Comparing AI-Assisted Strategies in High School Programming Education.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study From Generation to Adaptation: Comparing AI-Assisted Strategies in High School Programming Education

Reference 19

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Observation 06ba7ba6-26ae-4ba6-912e-ed7b665b78c9 · outbound

This paper cites Carry-forward effect: providing proac- tive scaffolding to learning processes,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study Carry-forward effect: providing proac- tive scaffolding to learning processes,

Reference 20

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Observation a2b01959-4325-46b5-adec-72da4b1fcf6f · outbound

This paper cites Mixed-initiative interaction,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study Mixed-initiative interaction,

Reference 21

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Observation 01ed1794-e159-4f62-846e-825b312849e5 · outbound

This paper cites On the positive effect of reactive programming on software comprehension: An empirical study,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study On the positive effect of reactive programming on software comprehension: An empirical study,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:23.785289Z

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Observation 47f59d17-7b41-440a-833a-cb372b64179e · outbound

This paper cites How generative-ai- assistance impacts cognitive load during knowledge work: a study proposal,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study How generative-ai- assistance impacts cognitive load during knowledge work: a study proposal,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:23.619218Z

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Observation 5bcaf10f-b839-4c63-806c-1ad49809339d · outbound

This paper cites ChatCollab: Exploring Collaboration Between Humans and AI Agents in Software Teams.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study ChatCollab: Exploring Collaboration Between Humans and AI Agents in Software Teams

Reference 24

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This paper cites Bridging HCI and AI Research for the Evaluation of Conversational SE Assistants.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study Bridging HCI and AI Research for the Evaluation of Conversational SE Assistants

Reference 25

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This paper cites Who should i trust: Ai or myself? leveraging human and ai correctness likelihood to promote appropriate trust in ai-assisted decision-making,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study Who should i trust: Ai or myself? leveraging human and ai correctness likelihood to promote appropriate trust in ai-assisted decision-making,

Reference 26

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Observation d5c7e98b-8d10-4b66-9fe6-bebecc64cee8 · outbound

This paper cites Explanations can reduce overreliance on ai systems during decision-making,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study Explanations can reduce overreliance on ai systems during decision-making,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:23.375554Z

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Observation fae78f6a-d1dc-4850-b8a7-8f1286e5ff64 · outbound

This paper cites Reinforcement Fine-Tuning for Reasoning towards Multi-Step Multi-Source Search in Large Language Models.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study Reinforcement Fine-Tuning for Reasoning towards Multi-Step Multi-Source Search in Large Language Models

Reference 28

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Observation b970f33a-d3d5-4b78-b9fd-0ed0f697c257 · outbound

This paper cites Co-learning: code learning for multi-agent reinforcement collaborative framework with conversational natural language interfaces,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study Co-learning: code learning for multi-agent reinforcement collaborative framework with conversational natural language interfaces,

Reference 29

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Observation b305a34b-0ebb-4bbf-985d-4c634ba7d3bd · outbound

This paper cites Dbox: Scaf- folding algorithmic programming learning through learner-llm co- decomposition,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study Dbox: Scaf- folding algorithmic programming learning through learner-llm co- decomposition,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:22.796234Z

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Observation 740a69aa-fb86-4221-98d6-b3ecb5b7510c · outbound

This paper cites Exploring the impact of integrating ai tools in higher education using the zone of proximal development,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study Exploring the impact of integrating ai tools in higher education using the zone of proximal development,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:22.653843Z

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Observation 004acc01-ab47-473f-bf4d-07f69b78384e · outbound

This paper cites ’i’m categorizing llm as a productivity tool’: Examining ethics of llm use in hci research practices,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study ’i’m categorizing llm as a productivity tool’: Examining ethics of llm use in hci research practices,

Reference 32

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Observation c36ba5fe-06c8-4751-8ff1-e3cda0dc3e2d · outbound

This paper cites Risk or chance? large language models and reproducibility in human-computer interaction research,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study Risk or chance? large language models and reproducibility in human-computer interaction research,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:22.430392Z

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Observation 3a7da2b6-74d5-44e7-9650-0d74e99f2704 · outbound

This paper cites Evaluating causal reasoning capabilities of large language models: A systematic analysis across three scenarios,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study Evaluating causal reasoning capabilities of large language models: A systematic analysis across three scenarios,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:22.317742Z

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Observation 1b29264e-8712-4523-a2ca-9df8e5947b2a · outbound

This paper cites LLM Evaluations: Metrics, Frameworks, and Best Practices,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study LLM Evaluations: Metrics, Frameworks, and Best Practices,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:22.081460Z

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Observation f964111c-006d-4562-aa40-11ebf420bda8 · outbound

This paper cites 5 LLM Evaluation Tools You Should Know in 2025,.

Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study 5 LLM Evaluation Tools You Should Know in 2025,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:59:21.600868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.