Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation | Paper Citation Record

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This paper cites https://ai.meta.com/blog/llama-4-multimodal-intelligence/(2025).

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation https://ai.meta.com/blog/llama-4-multimodal-intelligence/(2025)

Reference 1

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This paper cites Empirical Software Engineering22(6), 3057–3087 (2017).

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Empirical Software Engineering22(6), 3057–3087 (2017)

Reference 2

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This paper cites Information systems research12(2), 195–207 (2001).

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Information systems research12(2), 195–207 (2001)

Reference 3

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This paper cites Guidelines for Empirical Studies in Software Engineering involving Large Language Models.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Guidelines for Empirical Studies in Software Engineering involving Large Language Models

Reference 4

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This paper cites Examination of Code generated by Large Language Models.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Examination of Code generated by Large Language Models

Reference 5

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This paper cites Empirical Software Engineering28(6), 128 (2023).

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Empirical Software Engineering28(6), 128 (2023)

Reference 6

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Observation f658fa06-6c3f-4a54-87b0-c2f038633d0d · outbound

This paper cites Advances in neural information processing systems33, 1877–1901 (2020).

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Advances in neural information processing systems33, 1877–1901 (2020)

Reference 7

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This paper cites Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Reference 8

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This paper cites Evaluating Large Language Models Trained on Code.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Evaluating Large Language Models Trained on Code

Reference 9

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This paper cites In: 2025 IEEE International Confer- ence on Software Analysis, Evolution and Reengineering (SANER), pp.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation In: 2025 IEEE International Confer- ence on Software Analysis, Evolution and Reengineering (SANER), pp

Reference 10

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This paper cites URLhttps://openai.com/index/ introducing-swe-bench-verified/.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation URLhttps://openai.com/index/ introducing-swe-bench-verified/

Reference 11

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Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Unresolved cited work

Reference 12

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Observation 8c7ee9a1-4cec-4f5b-a477-8f586f236b18 · outbound

This paper cites In: European Conference on Cyber Warfare and Security, pp.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation In: European Conference on Cyber Warfare and Security, pp

Reference 13

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This paper cites URLhttps://github.com/pylint-dev/pylint.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation URLhttps://github.com/pylint-dev/pylint

Reference 14

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This paper cites Sage publications (2014).

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Sage publications (2014)

Reference 15

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This paper cites Replica- tion Package.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Replica- tion Package

Reference 16

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This paper cites LRASGen: LLM-based RESTful API Specification Generation.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation LRASGen: LLM-based RESTful API Specification Generation

Reference 17

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This paper cites arXiv e-prints pp.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation arXiv e-prints pp

Reference 18

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This paper cites In: 2024 34th International Conference on Collaborative Advances in Software and COmputiNg (CASCON), pp.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation In: 2024 34th International Conference on Collaborative Advances in Software and COmputiNg (CASCON), pp

Reference 19

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This paper cites In: Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, pp.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation In: Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, pp

Reference 20

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This paper cites Psychological Science in the Public Interest25(3), 105–161 (2024).

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Psychological Science in the Public Interest25(3), 105–161 (2024)

Reference 21

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This paper cites Prompt Sentiment: The Catalyst for LLM Change.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Prompt Sentiment: The Catalyst for LLM Change

Reference 22

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Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation The Llama 3 Herd of Models

Reference 23

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Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Ac- cessed: 2025-07-18

Reference 24

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This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 25

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This paper cites AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation

Reference 26

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This paper cites In: Proceedings of the 2018 International Conference on technical debt, pp.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation In: Proceedings of the 2018 International Conference on technical debt, pp

Reference 27

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This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 28

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Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 29

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This paper cites In: Proceedings of the 2014 ACM Workshop on Security Information Workers, pp.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation In: Proceedings of the 2014 ACM Workshop on Security Information Workers, pp

Reference 30

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Observation 0e074038-2992-482d-9a1d-ef7f21bf6403 · outbound

This paper cites Decomposed Prompting: A Modular Approach for Solving Complex Tasks.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Decomposed Prompting: A Modular Approach for Solving Complex Tasks

Reference 31

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This paper cites Journal of Applied Psychology65(4), 440–452 (1980).

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Journal of Applied Psychology65(4), 440–452 (1980)

Reference 32

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This paper cites Information and Software Technology121, 106257 (2020).

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Information and Software Technology121, 106257 (2020)

Reference 33

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This paper cites URLhttps://github.com/rubik/radon.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation URLhttps://github.com/rubik/radon

Reference 34

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This paper cites The Leadership Quarterly28(1), 210–228 (2017).

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation The Leadership Quarterly28(1), 210–228 (2017)

Reference 35

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This paper cites Large Language Models Understand and Can be Enhanced by Emotional Stimuli.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Reference 36

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Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Improving ChatGPT Prompt for Code Generation

Reference 37

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This paper cites Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints

Reference 38

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This paper cites IEEE Transactions on software EngineeringSE- 2(4), 308–320 (1976).

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation IEEE Transactions on software EngineeringSE- 2(4), 308–320 (1976)

Reference 39

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This paper cites Organization Management Journal17(1), 43–58 (2020).

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Organization Management Journal17(1), 43–58 (2020)

Reference 40

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This paper cites Can We Trust Large Language Models Generated Code? A Framework for In-Context Learning, Security Patterns, and Code Evaluations Across Diverse LLMs.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Can We Trust Large Language Models Generated Code? A Framework for In-Context Learning, Security Patterns, and Code Evaluations Across Diverse LLMs

Reference 41

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Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Large Language Models Often Know When They Are Being Evaluated

Reference 42

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Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation In: Proceedings Conference on Software Maintenance 1992, pp

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:00:09.294909Z

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This paper cites In: 2018 IEEE International conference on software maintenance and evolution (ICSME), pp.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation In: 2018 IEEE International conference on software maintenance and evolution (ICSME), pp

Reference 44

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This paper cites In:Proceedingsofthe2025CHIConference on Human Factors in Computing Systems, pp.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation In:Proceedingsofthe2025CHIConference on Human Factors in Computing Systems, pp

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:00:09.261544Z

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Observation dc143e12-766b-43b8-8e60-a00c8a8b140c · outbound

This paper cites Automatic Prompt Optimization with "Gradient Descent" and Beam Search.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Automatic Prompt Optimization with "Gradient Descent" and Beam Search

Reference 46

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Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation URLhttps://github.com/PyCQA/bandit

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:00:09.245453Z

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This paper cites In: Proceedings of the 2023 15th International Conference on Machine Learning and Computing, ICMLC ’23, p.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation In: Proceedings of the 2023 15th International Conference on Machine Learning and Computing, ICMLC ’23, p

Reference 48

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This paper cites Interactive Learning Environments33(2), 1020–1039 (2025).

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Interactive Learning Environments33(2), 1020–1039 (2025)

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:00:09.228340Z

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Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Large Language Models for Code Generation: The Practitioners Perspective

Reference 50

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This paper cites International journal of environmental research and public health18(5), 2294 (2021).

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation International journal of environmental research and public health18(5), 2294 (2021)

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:00:09.209906Z

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Observation 8dbdfd25-f856-4260-ad39-062d92367cd5 · outbound

This paper cites On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T14:00:07.927346Z

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Observation 406e8b2e-d60a-4452-b848-97423f587cf2 · outbound

This paper cites URL: https://www.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation URL: https://www

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:00:09.191852Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a6f8e2ed-df33-4a11-9d2a-1bfe6309b3d1 · outbound

This paper cites PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T14:00:07.936590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 002503ab-8ade-460b-9603-b3ea3e50f42f · outbound

This paper cites The Prompt Report: A Systematic Survey of Prompt Engineering Techniques.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T14:00:07.941407Z

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Unavailable: canonical work link unavailable.

Observation 3d838ebf-7320-4817-a0f7-083060c70ff7 · outbound

This paper cites Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T14:00:07.946233Z

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Observation 7f78d289-42e0-414e-9b0e-e793276272a2 · outbound

This paper cites Advances in Neural Information Processing Systems 36, 8634–8652 (2023) 36 Alex Deaconu * et al.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Advances in Neural Information Processing Systems 36, 8634–8652 (2023) 36 Alex Deaconu * et al

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:00:09.175054Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 85a9c840-bc4e-4c53-95bf-dd1b3b4c2bc7 · outbound

This paper cites 10th, vol.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation 10th, vol

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:00:09.158966Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b87bb8a0-07d5-4943-8846-80c20aa8830a · outbound

This paper cites Sage Publications, Inc., Thousand Oaks, CA (1998).

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Sage Publications, Inc., Thousand Oaks, CA (1998)

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:00:09.139794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 76611b87-cb5a-4714-9ec2-be94a8776eef · outbound

This paper cites Automated Prompt Engineering for Cost-Effective Code Generation Using Evolutionary Algorithm.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Automated Prompt Engineering for Cost-Effective Code Generation Using Evolutionary Algorithm

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T14:00:07.966244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99745578-aad6-4fab-bbc4-0fc908935267 · outbound

This paper cites Journal of Systems and Software86(6), 1498–1516 (2013).

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Journal of Systems and Software86(6), 1498–1516 (2013)

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:00:09.121586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c21eaea6-6450-4e66-8b6d-5b95aecfc1e3 · outbound

This paper cites Prompting Techniques for Secure Code Generation: A Systematic Investigation.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Prompting Techniques for Secure Code Generation: A Systematic Investigation

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T14:00:07.976593Z

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Observation e14e25bb-674b-4733-bbf7-d265ba011ede · outbound

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

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T14:00:07.981357Z

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Observation 1be074f9-b649-4b32-b1b4-eb5a2db8e98e · outbound

This paper cites Framing Effects in Independent-Agent Large Language Models: A Cross-Family Behavioral Analysis.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Framing Effects in Independent-Agent Large Language Models: A Cross-Family Behavioral Analysis

Reference 64

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T14:00:08.323010Z

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Observation 3f69cec5-0cdb-4eae-9926-2e839116cfd6 · outbound

This paper cites Advances in neural information processing systems35, 24824–24837 (2022).

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Advances in neural information processing systems35, 24824–24837 (2022)

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T14:00:07.991802Z

Source-reported events for the cited work

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Observation bb622fd7-0a08-427e-be59-6a09c548c388 · outbound

This paper cites A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T14:00:07.996850Z

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Observation 18f1ef6f-6871-44b7-9d96-38640a4ee8dd · outbound

This paper cites Qwen3 Technical Report.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Qwen3 Technical Report

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T14:00:08.001520Z

Source-reported events for the cited work

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Observation 490c3051-9329-461e-b051-acce4a6262ef · outbound

This paper cites In: Proceedings of the Second Workshop on Social Influence in Conversations (SICon 2024), pp.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation In: Proceedings of the Second Workshop on Social Influence in Conversations (SICon 2024), pp

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:00:09.094131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a5647148-21c1-482d-bb24-c7b2f2a5ae76 · outbound

This paper cites Journal of Organizational Behavior: The International Journal of Industrial, Occupational and Organizational Psychology and Behavior26(6), 705–725 (2005).

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Journal of Organizational Behavior: The International Journal of Industrial, Occupational and Organizational Psychology and Behavior26(6), 705–725 (2005)

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:00:09.076572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 490acda9-d9d1-440e-9dd2-540debef55a7 · outbound

This paper cites Journal of applied psychology75(2), 132 (1990).

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Journal of applied psychology75(2), 132 (1990)

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:00:09.059868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e10da17b-1701-46e3-bc15-00be9156daf4 · outbound

This paper cites In: Toronto, paper presented at the Society for Industrial and Organizational Psychology annual conference (2002).

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation In: Toronto, paper presented at the Society for Industrial and Organizational Psychology annual conference (2002)

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:00:09.042391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 478ceb45-5dce-4b50-8c8e-886d7df15f61 · outbound

This paper cites The Leadership Quarterly19(5), 609–621 (2008).

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation The Leadership Quarterly19(5), 609–621 (2008)

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:00:09.024463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation df051eb3-edec-42f7-8dec-9119d99b700f · outbound

This paper cites Computer58(07), 122–128 (2025).

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Computer58(07), 122–128 (2025)

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:00:09.006233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cd30ef3d-9801-4e1c-808d-441930b4678c · outbound

This paper cites Large Language Models for Unit Testing: A Systematic Literature Review.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Large Language Models for Unit Testing: A Systematic Literature Review

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T14:00:08.038278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites Automatic Chain of Thought Prompting in Large Language Models.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Automatic Chain of Thought Prompting in Large Language Models

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-15T14:00:08.043542Z

Source-reported events for the cited work

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Observation 72166e4f-9701-4e94-8ae8-2ea95a9637e4 · outbound

This paper cites When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-15T14:00:08.048590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13bdb082-a245-4a15-9956-e6c503e9c821 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence38, 21841–21849 (2024).

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Proceedings of the AAAI Conference on Artificial Intelligence38, 21841–21849 (2024)

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-15T14:00:08.053318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3656d32-213b-4327-9063-2036f0f96a8b · outbound

This paper cites Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-15T14:00:08.058781Z

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Unavailable: canonical work link unavailable.

Observation b1b9f1dc-3e07-41b7-a9c4-9aacee532c66 · outbound

This paper cites Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-15T14:00:08.063535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71807f9b-3dec-4c73-9a96-3be32b483e93 · outbound

This paper cites Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-15T14:00:08.068366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 745c999a-0e22-4386-9fe2-650b6ca9dd77 · outbound

This paper cites Large Language Models Are Human-Level Prompt Engineers.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation Large Language Models Are Human-Level Prompt Engineers

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-15T14:00:08.073102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95cfa606-88c3-4d32-8c79-7154370501ce · outbound

This paper cites ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs.

Do Influence Tactics Matter? Investigating Prompt Framing Effects in LLM Code Generation ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-15T14:00:08.078503Z

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