Paper Citation Record · LEDGER

Optimizing AI-Assisted Code Generation

As of 19 August 2026, this Paper Citation Record lists 100 of 101 outbound references and 3 inbound Pith citation observations for arXiv:2412.10953.

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

pith.paper-citation-record.v1
2412.10953 v1

Coverage vector

measured 100 of 101 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:29:13.084236Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T06:48:49.709367Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T22:13:03.924896Z

Reference resolution

100 of 101 outbound references displayed

verified exact10
verified fuzzy23
unresolved65
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aec02c44-3037-4689-abff-5f1dfb30a564 · outbound

This paper cites Howreadableismodel-generatedcode?examiningreadabilityandvisualinspectionofgithubcopilot, in: ASE ’22, Association for Computing Machinery, New York, NY.

Optimizing AI-Assisted Code Generation Howreadableismodel-generatedcode?examiningreadabilityandvisualinspectionofgithubcopilot, in: ASE ’22, Association for Computing Machinery, New York, NY

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.719263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1434b5b-90a6-4664-8ee0-eb8d0ca0a534 · outbound

This paper cites State of developer experience report 2024 | atlassian.

Optimizing AI-Assisted Code Generation State of developer experience report 2024 | atlassian

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.724281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d532c4f5-d8dd-4236-a438-f95807197c0c · outbound

This paper cites Program Synthesis with Large Language Models.

Optimizing AI-Assisted Code Generation Program Synthesis with Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.728119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ba0657e-b4ed-4b9e-9b41-b256e57ca37e · outbound

This paper cites DeepCode AI Fix: Fixing Security Vulnerabilities with Large Language Models.

Optimizing AI-Assisted Code Generation DeepCode AI Fix: Fixing Security Vulnerabilities with Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.732224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86acebe3-fa71-4afb-9631-6534128da02d · outbound

This paper cites GPT-NeoX-20B: An Open-Source Autoregressive Language Model.

Optimizing AI-Assisted Code Generation GPT-NeoX-20B: An Open-Source Autoregressive Language Model

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.736072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2a1ea6f-da4b-4e99-837d-49ea6edfddca · outbound

This paper cites Kaggle forecasting competitions: An overlooked learning opportunity.

Optimizing AI-Assisted Code Generation Kaggle forecasting competitions: An overlooked learning opportunity

Reference 6

Resolution: verified exact; doi, observed 2026-08-11T15:29:13.255413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f11be224-3dc6-4864-b3ed-76f57fe15a6a · outbound

This paper cites Artificial intelligence takes center stage: exploring the capabilities and implications of chatgpt and other ai-assisted technologies in scientific research and education.

Optimizing AI-Assisted Code Generation Artificial intelligence takes center stage: exploring the capabilities and implications of chatgpt and other ai-assisted technologies in scientific research and education

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.744833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18d5f7f8-b180-4026-9df0-89ab2aacfd70 · outbound

This paper cites Generative ai degrades online communities.

Optimizing AI-Assisted Code Generation Generative ai degrades online communities

Reference 8

Resolution: verified exact; doi, observed 2026-08-11T15:29:13.243992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 05840dc6-0040-4c2c-9fc9-5079905e683a · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Optimizing AI-Assisted Code Generation Evaluating Large Language Models Trained on Code

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.756768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58834e29-d7fb-4bb4-9426-43a5c752d5bb · outbound

This paper cites DeVAIC: A Tool for Security Assessment of AI-generated Code.

Optimizing AI-Assisted Code Generation DeVAIC: A Tool for Security Assessment of AI-generated Code

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.760496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97aabb71-a186-4f02-8ab0-04c249e2bd11 · outbound

This paper cites Forecasting the m4 competition weekly data: Forecast pro’s winning approach.

Optimizing AI-Assisted Code Generation Forecasting the m4 competition weekly data: Forecast pro’s winning approach

Reference 12

Resolution: verified exact; doi, observed 2026-08-11T15:29:13.233242Z

Source-reported events for the cited work

correction dated 2021-05-19. Source: crossref record 10.1016/j.ijforecast.2021.01.015->10.1016/j.ijforecast.2019.03.018:correction, observed 2026-07-11T03:12:24.338528+00:00. This notice travels one citation hop only.

Observation f781781e-3c5d-40cd-90cb-82eece0b3891 · outbound

This paper cites Focus: Google, one of ai’s biggest backers, warns own staff about chatbots.

Optimizing AI-Assisted Code Generation Focus: Google, one of ai’s biggest backers, warns own staff about chatbots

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.768016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3008f4fd-89c0-421f-9bfd-a1aad11de4bb · outbound

This paper cites Ai assisted data labeling with interactive auto label.

Optimizing AI-Assisted Code Generation Ai assisted data labeling with interactive auto label

Reference 14

Resolution: verified exact; doi, observed 2026-08-11T15:29:13.222685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cea01b85-5ac1-49ba-8838-0967e5960834 · outbound

This paper cites The economic impact of the ai-powered developer lifecycle and lessons from github copilot.

Optimizing AI-Assisted Code Generation The economic impact of the ai-powered developer lifecycle and lessons from github copilot

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.775283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26e3e6b2-afea-4cf0-8ab9-37eba68a8f34 · outbound

This paper cites Sea Change in Software Development: Economic and Productivity Analysis of the AI-Powered Developer Lifecycle.

Optimizing AI-Assisted Code Generation Sea Change in Software Development: Economic and Productivity Analysis of the AI-Powered Developer Lifecycle

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.778404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7eed800f-e86b-4fa3-aa81-d5b0ddd3a6e0 · outbound

This paper cites A european ai on demand platform and ecosystem.

Optimizing AI-Assisted Code Generation A european ai on demand platform and ecosystem

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.782164Z

Source-reported events for the cited work

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Observation c5687066-76b8-411e-9e6d-aee2d0ae56d6 · outbound

This paper cites Home page | ai-on-demand.

Optimizing AI-Assisted Code Generation Home page | ai-on-demand

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.785535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee387a48-ad06-4d2b-992e-754e5b23edf2 · outbound

This paper cites Hugging face – the AI community building the future.

Optimizing AI-Assisted Code Generation Hugging face – the AI community building the future

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.788540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96190226-31ee-4c62-ae3c-9dd7882d4b04 · outbound

This paper cites A c/c++ code vulnerability dataset with code changes and cve summaries, in: MSR ’20: Proceedings of the 17th International Conference on Mining Software Repositories, ACM.

Optimizing AI-Assisted Code Generation A c/c++ code vulnerability dataset with code changes and cve summaries, in: MSR ’20: Proceedings of the 17th International Conference on Mining Software Repositories, ACM

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.791994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf0dafbc-6bc6-4331-8fcb-074b2fdeb0ae · outbound

This paper cites Towards ai assisted domain modeling, in: Reinhartz- Berger, I., Sadiq, S.

Optimizing AI-Assisted Code Generation Towards ai assisted domain modeling, in: Reinhartz- Berger, I., Sadiq, S

Reference 21

Resolution: verified exact; doi, observed 2026-08-11T15:29:13.212337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2dcdad71-0cb2-4f30-b63e-91846b5380fc · outbound

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

Optimizing AI-Assisted Code Generation CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.798062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abe9a831-3588-4afd-a726-bd9d575ae79d · outbound

This paper cites an unresolved cited work.

Optimizing AI-Assisted Code Generation Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.801760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9632e5f-91e1-4850-8c44-abd8ba6c0aaa · outbound

This paper cites InCoder: A Generative Model for Code Infilling and Synthesis.

Optimizing AI-Assisted Code Generation InCoder: A Generative Model for Code Infilling and Synthesis

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.804919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a54d20c-571a-40a3-a27f-5be2dba0db71 · outbound

This paper cites Them4forecastingcompetition–apractitioner’sview.

Optimizing AI-Assisted Code Generation Them4forecastingcompetition–apractitioner’sview

Reference 25

Resolution: verified exact; doi, observed 2026-08-11T15:29:13.201396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2e3de262-5c02-40ec-875f-89907823276b · outbound

This paper cites Gemini - chat to supercharge your ideas.

Optimizing AI-Assisted Code Generation Gemini - chat to supercharge your ideas

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.812115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc17056d-eb07-458d-a179-ceddbc2132a6 · outbound

This paper cites Github - pycqa/bandit: Bandit is a tool designed to find common security issues in python code.

Optimizing AI-Assisted Code Generation Github - pycqa/bandit: Bandit is a tool designed to find common security issues in python code

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.815968Z

Source-reported events for the cited work

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Observation e9f1c4f2-8507-4e0f-8779-23935db1efe4 · outbound

This paper cites Github-python-security/pyt:Astaticanalysistoolfordetectingsecurityvulnerabilitiesinpython web applications.

Optimizing AI-Assisted Code Generation Github-python-security/pyt:Astaticanalysistoolfordetectingsecurityvulnerabilitiesinpython web applications

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.819490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c8a0cb9-4d45-4526-9c6a-cadfbfecb28d · outbound

This paper cites Github-semgrep/semgrep:Lightweightstaticanalysisformanylanguages.findbugvariantswith patterns that look like source code.

Optimizing AI-Assisted Code Generation Github-semgrep/semgrep:Lightweightstaticanalysisformanylanguages.findbugvariantswith patterns that look like source code

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.823015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5aed5e4-f773-4a80-bc93-93a3d53e479d · outbound

This paper cites Github copilot· your ai pair programmer.

Optimizing AI-Assisted Code Generation Github copilot· your ai pair programmer

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.826697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 647c8d53-de60-4807-941f-441b8af413e8 · outbound

This paper cites an unresolved cited work.

Optimizing AI-Assisted Code Generation Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.830946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 939c8657-f5f7-42d1-be1d-c0828314eb0d · outbound

This paper cites The Effects of AI Assisted Programming in Software Engineering.

Optimizing AI-Assisted Code Generation The Effects of AI Assisted Programming in Software Engineering

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.835967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d39342aa-ff2a-4d6c-827e-f3af4dd33428 · outbound

This paper cites BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain.

Optimizing AI-Assisted Code Generation BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.840125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13703f12-7f73-41ac-8618-e57cd69dd925 · outbound

This paper cites GraphCodeBERT: Pre-training Code Representations with Data Flow.

Optimizing AI-Assisted Code Generation GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.844770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbfda74b-f7b9-4be8-bb89-98930c865206 · outbound

This paper cites From chatgpt to threatgpt: Impact of generative ai in cybersecurity and privacy.

Optimizing AI-Assisted Code Generation From chatgpt to threatgpt: Impact of generative ai in cybersecurity and privacy

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.849166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b132364d-a614-4898-8b81-81cfc3d2a52a · outbound

This paper cites Samsung bans chatgpt, google bard, other generative ai use by staff after leak.

Optimizing AI-Assisted Code Generation Samsung bans chatgpt, google bard, other generative ai use by staff after leak

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.852814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85265fcf-d88c-4e4a-b648-13cabad32bd1 · outbound

This paper cites How secure is ai-based coding?: A security analysis using stride and data flow diagrams, in: 2023 IEEE Virtual Conference on Communications (VCC), IEEE, Piscataway, New Jersey.

Optimizing AI-Assisted Code Generation How secure is ai-based coding?: A security analysis using stride and data flow diagrams, in: 2023 IEEE Virtual Conference on Communications (VCC), IEEE, Piscataway, New Jersey

Reference 38

Resolution: verified exact; raw_fallback, observed 2026-08-11T15:29:14.830474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bbd7a143-e289-42f6-a4e0-351b7a9674b4 · outbound

This paper cites an unresolved cited work.

Optimizing AI-Assisted Code Generation Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.862724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21e4b022-55a2-4625-9e6f-fa5d6b6f5ef2 · outbound

This paper cites Using AI Assistants in Software Development: A Qualitative Study on Security Practices and Concerns.

Optimizing AI-Assisted Code Generation Using AI Assistants in Software Development: A Qualitative Study on Security Practices and Concerns

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.865996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca009a1c-4c9c-4012-ab6e-0a89ee88512c · outbound

This paper cites Becoming good at ai for good, in: Fourcade, M.

Optimizing AI-Assisted Code Generation Becoming good at ai for good, in: Fourcade, M

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.869862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6e813e1-11ec-483d-87ac-cc065b749c28 · outbound

This paper cites CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning.

Optimizing AI-Assisted Code Generation CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.873364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 200f7f8e-6572-4c48-a6b5-de0b41c9bde0 · outbound

This paper cites AlphaCode 2 technical report.

Optimizing AI-Assisted Code Generation AlphaCode 2 technical report

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.876723Z

Source-reported events for the cited work

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Observation 1f625f93-8f88-471a-a4ef-e73f86dc49ee · outbound

This paper cites Camel:Communicativeagentsfor"mind"exploration of large language model society.

Optimizing AI-Assisted Code Generation Camel:Communicativeagentsfor"mind"exploration of large language model society

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.880018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d02f4e0a-ee46-495d-aea8-393518c8ad44 · outbound

This paper cites StarCoder: may the source be with you!.

Optimizing AI-Assisted Code Generation StarCoder: may the source be with you!

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.883262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de8085bd-14f1-40a3-b51b-e1efbe6e33dc · outbound

This paper cites Prefix-tuning: Optimizing continuous prompts for generation.

Optimizing AI-Assisted Code Generation Prefix-tuning: Optimizing continuous prompts for generation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.886813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32059c57-9967-44a7-9aea-9d792bd7e818 · outbound

This paper cites Competition-level code generation with alphacode.

Optimizing AI-Assisted Code Generation Competition-level code generation with alphacode

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.890061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dba0b3d9-3a67-4ecb-9989-9bdad7b9cb75 · outbound

This paper cites Can we generate shellcodes via natural language? an empirical study.

Optimizing AI-Assisted Code Generation Can we generate shellcodes via natural language? an empirical study

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.893291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c32b749a-7bd9-4a10-88c2-9aa1159a8a8e · outbound

This paper cites (Ed.), 2021 IEEE 32nd International Symposium on Software Reliability Engineering, IEEE, Piscataway, NJ.

Optimizing AI-Assisted Code Generation (Ed.), 2021 IEEE 32nd International Symposium on Software Reliability Engineering, IEEE, Piscataway, NJ

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.897301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6731561b-ecbe-4eca-a284-848268d0324a · outbound

This paper cites CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.

Optimizing AI-Assisted Code Generation CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.900545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45c9ecb9-f2ca-469c-9636-88858ac81c57 · outbound

This paper cites On the robustness of code generation techniques: An empirical study on github copilot, in: IEEE/ACM 45th International Conference on Software Engineering (ICSE), IEEE.

Optimizing AI-Assisted Code Generation On the robustness of code generation techniques: An empirical study on github copilot, in: IEEE/ACM 45th International Conference on Software Engineering (ICSE), IEEE

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.903903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c7dfda7-30a1-4176-ae08-f6a4294c2956 · outbound

This paper cites Microsoft copilot: Ihr täglicher ki-begleiter.

Optimizing AI-Assisted Code Generation Microsoft copilot: Ihr täglicher ki-begleiter

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.907097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 207f68d8-08f6-44b4-a116-2898a4e57244 · outbound

This paper cites Microsoft codexglue.

Optimizing AI-Assisted Code Generation Microsoft codexglue

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.910557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e4f0aec-c25c-4849-94c9-532796f48636 · outbound

This paper cites Ai-assisted knowledge assessment techniques for adaptive learning environments.

Optimizing AI-Assisted Code Generation Ai-assisted knowledge assessment techniques for adaptive learning environments

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.913949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62ed92dd-3bec-487e-b418-c593fa14562f · outbound

This paper cites Githubcopilotaipair programmer:Assetorliability? JournalofSystemsandSoftware203,111734.

Optimizing AI-Assisted Code Generation Githubcopilotaipair programmer:Assetorliability? JournalofSystemsandSoftware203,111734

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.917538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc5559f7-d30c-483d-9c25-8bef176bcc5f · outbound

This paper cites (Eds.), Proceedings of the CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, Erscheinungsort nicht ermittelbar.

Optimizing AI-Assisted Code Generation (Eds.), Proceedings of the CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, Erscheinungsort nicht ermittelbar

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.921209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b44fde2-a015-4de6-ab0d-3df138467629 · outbound

This paper cites A systematic literature review on the impact of ai models on the security of code generation.

Optimizing AI-Assisted Code Generation A systematic literature review on the impact of ai models on the security of code generation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.924784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a060a49-291f-461d-9f60-d72eff02e15d · outbound

This paper cites NeilAPerry/do-users-write-more-insecure-code-with-AI-assistants.

Optimizing AI-Assisted Code Generation NeilAPerry/do-users-write-more-insecure-code-with-AI-assistants

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.928638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b53b9415-667f-4c81-bb03-552565c91372 · outbound

This paper cites How to jailbreak chatgpt with these prompts.

Optimizing AI-Assisted Code Generation How to jailbreak chatgpt with these prompts

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:29:15.519303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 13928a9e-305d-4828-a3c6-43ee9ea03771 · outbound

This paper cites Megavul: A c/c++ vulnerability dataset with comprehensive code representations, in: 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR), pp.

Optimizing AI-Assisted Code Generation Megavul: A c/c++ vulnerability dataset with comprehensive code representations, in: 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR), pp

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:29:15.509155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c74d0b7c-3bc8-4418-96a7-300d4d328dc5 · outbound

This paper cites CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis.

Optimizing AI-Assisted Code Generation CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.939266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26f273d3-cbd3-4449-80eb-11a445d55cc8 · outbound

This paper cites Crossvul: a cross-language vulnerability dataset with commit data, in: ESEC/FSE 2021, ACM.

Optimizing AI-Assisted Code Generation Crossvul: a cross-language vulnerability dataset with commit data, in: ESEC/FSE 2021, ACM

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.942974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4cbbb0e-c2e8-4fae-961f-ef6cd5878f13 · outbound

This paper cites CodexLeaks: Privacy leaks from code generation language models in GitHub copilot, in: Proceedings of the 32nd USENIX Security Symposium, USENIX Association, Berkeley, CA.

Optimizing AI-Assisted Code Generation CodexLeaks: Privacy leaks from code generation language models in GitHub copilot, in: Proceedings of the 32nd USENIX Security Symposium, USENIX Association, Berkeley, CA

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:29:15.494274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 59dbaa2c-01cb-4ae4-9f86-f9935efb0787 · outbound

This paper cites Openai chatgpt.

Optimizing AI-Assisted Code Generation Openai chatgpt

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:29:15.483344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 088a1f84-66e9-479a-b4f2-a86599845d65 · outbound

This paper cites The convergence of ai/ml and devsecops: Revolutionizing software development.

Optimizing AI-Assisted Code Generation The convergence of ai/ml and devsecops: Revolutionizing software development

Reference 65

Resolution: verified exact; doi, observed 2026-08-11T15:29:13.155695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a0233563-8713-4f29-8e0c-f022e421699a · outbound

This paper cites The limitations of deep learning in adversarial settings, in: 2016 IEEE European Symposium on Security and Privacy (EuroS&P), pp.

Optimizing AI-Assisted Code Generation The limitations of deep learning in adversarial settings, in: 2016 IEEE European Symposium on Security and Privacy (EuroS&P), pp

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.957404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5e28649-3853-492e-bb80-0bda318f09c3 · outbound

This paper cites Copilot CWE Scenarios Dataset.

Optimizing AI-Assisted Code Generation Copilot CWE Scenarios Dataset

Reference 67

Resolution: verified exact; raw_fallback, observed 2026-08-11T15:29:13.968664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e506ba65-c189-4b73-828f-1aec47f9d895 · outbound

This paper cites Asleep at the keyboard? assessing the security of github copilot’s code contributions, in: 2022 IEEE Symposium on Security and Privacy (SP), IEEE.

Optimizing AI-Assisted Code Generation Asleep at the keyboard? assessing the security of github copilot’s code contributions, in: 2022 IEEE Symposium on Security and Privacy (SP), IEEE

Reference 68

Resolution: malformed identifier; no resolver link, observed 2026-08-11T15:29:12.964387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b48a616c-31ef-404c-8636-97c9a0056eef · outbound

This paper cites Examining zero-shot vulnerability repair with large language models, in: Zhao, Z.

Optimizing AI-Assisted Code Generation Examining zero-shot vulnerability repair with large language models, in: Zhao, Z

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:29:15.472368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d0284220-504e-4bee-a003-e68426ebcd68 · outbound

This paper cites Douserswritemoreinsecurecodewithaiassistants?,in:Meng, W., Jensen, C.D., Cremers, C., Kirda, E.

Optimizing AI-Assisted Code Generation Douserswritemoreinsecurecodewithaiassistants?,in:Meng, W., Jensen, C.D., Cremers, C., Kirda, E

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.974608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d49b0b6-cf6e-4622-8b2c-609b81d92a3f · outbound

This paper cites Machine Teaching by Domain Experts: Towards More Humane,Inclusive, and Intelligent Machine Learning Systems.

Optimizing AI-Assisted Code Generation Machine Teaching by Domain Experts: Towards More Humane,Inclusive, and Intelligent Machine Learning Systems

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:29:15.462149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 79e77a52-3551-48d4-b5b7-2ddce941b43a · outbound

This paper cites Ai assisted programming, in: Choppella, V.

Optimizing AI-Assisted Code Generation Ai assisted programming, in: Choppella, V

Reference 72

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T15:29:13.760288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9343494b-d21a-4529-9108-153faf92a23f · outbound

This paper cites Chatgpt: A comprehensive review on background, applications, key challenges, bias, ethics, limitations andfuturescope.

Optimizing AI-Assisted Code Generation Chatgpt: A comprehensive review on background, applications, key challenges, bias, ethics, limitations andfuturescope

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.984309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c5e4894-9dc4-4273-aeed-7b8873f89677 · outbound

This paper cites Enhancing Security of AI-Based Code Synthesis with GitHub Copilot via Cheap and Efficient Prompt-Engineering.

Optimizing AI-Assisted Code Generation Enhancing Security of AI-Based Code Synthesis with GitHub Copilot via Cheap and Efficient Prompt-Engineering

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:12.987593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77448783-2bf2-4e17-96ad-a96c86816f95 · outbound

This paper cites Lostatc:Auserstudyonthesecurityim- plicationsoflargelanguagemodelcodeassistants,in:Proceedingsofthe32ndUSENIXSecuritySymposium,USENIX Association, Berkeley, CA.

Optimizing AI-Assisted Code Generation Lostatc:Auserstudyonthesecurityim- plicationsoflargelanguagemodelcodeassistants,in:Proceedingsofthe32ndUSENIXSecuritySymposium,USENIX Association, Berkeley, CA

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:29:15.451506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 439f88a9-117f-4405-aaba-16e9924ec138 · outbound

This paper cites What is it like to program with artificial intelligence? URL:https://www.ppig.org/papers/2022-ppig-33rd-sarkar/.

Optimizing AI-Assisted Code Generation What is it like to program with artificial intelligence? URL:https://www.ppig.org/papers/2022-ppig-33rd-sarkar/

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:29:15.439442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8d528b44-3a2d-40be-a67c-fee1978c79fb · outbound

This paper cites Integrating Structured and Unstructured Knowledge Sources for Domain-Specific Chat- bots.

Optimizing AI-Assisted Code Generation Integrating Structured and Unstructured Knowledge Sources for Domain-Specific Chat- bots

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:29:15.428091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8b1ffc48-690d-4009-bc18-0697ceb3ea52 · outbound

This paper cites Ai-based modeling: Techniques, applications and research issues towards automation, intelligent and smart systems.

Optimizing AI-Assisted Code Generation Ai-based modeling: Techniques, applications and research issues towards automation, intelligent and smart systems

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:13.001409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a5fcdf9-3a13-436d-8b13-79917e80ab35 · outbound

This paper cites Adversarial attacks and defenses in large language models: Old and new threats, in: Proceedings on, PMLR.

Optimizing AI-Assisted Code Generation Adversarial attacks and defenses in large language models: Old and new threats, in: Proceedings on, PMLR

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:29:15.415736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 065d10f7-10fc-4ea5-967e-63e471af45d6 · outbound

This paper cites Membership inference attacks against machine learning models, in: 2017IEEESymposiumonSecurityandPrivacy(SP),pp.3–18.

Optimizing AI-Assisted Code Generation Membership inference attacks against machine learning models, in: 2017IEEESymposiumonSecurityandPrivacy(SP),pp.3–18

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:13.007806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e944a55-10e9-4887-9e04-bb23fd93a6bd · outbound

This paper cites Securityeval dataset: Mining vulnerability examples to evaluate machine learning- based code generation techniques.

Optimizing AI-Assisted Code Generation Securityeval dataset: Mining vulnerability examples to evaluate machine learning- based code generation techniques

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:29:15.404509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e6e793af-8168-49ca-8a09-b385ba137c71 · outbound

This paper cites Sicherheit für ki-generierten code mit snyk | snyk.

Optimizing AI-Assisted Code Generation Sicherheit für ki-generierten code mit snyk | snyk

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:29:15.392282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8909c619-6bd3-4f14-ae0f-d281632692da · outbound

This paper cites Stack overflow developer survey 2023.

Optimizing AI-Assisted Code Generation Stack overflow developer survey 2023

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:29:15.380969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 25ba75ba-3a0c-45e1-a709-3a1c8968693c · outbound

This paper cites Democratizingartificialintelligence:Howno-codeaicanleveragemachinelearning operations.

Optimizing AI-Assisted Code Generation Democratizingartificialintelligence:Howno-codeaicanleveragemachinelearning operations

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:13.019871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8450a0aa-471d-434c-a78f-30c071798c89 · outbound

This paper cites Open source security & risk analysis report (ossra) | synopsys.

Optimizing AI-Assisted Code Generation Open source security & risk analysis report (ossra) | synopsys

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:29:15.369522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ceb567a1-ad5f-4062-b069-35ce3970e573 · outbound

This paper cites Journal ofTheColloquiumforInformationSystemsSecurityEducation11,6.

Optimizing AI-Assisted Code Generation Journal ofTheColloquiumforInformationSystemsSecurityEducation11,6

Reference 86

Resolution: verified exact; doi, observed 2026-08-11T15:29:13.124981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0daefa13-28b6-496d-b696-8a0e9a7c6e67 · outbound

This paper cites Mitre att&ck®.

Optimizing AI-Assisted Code Generation Mitre att&ck®

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:29:15.358065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4ad38e0b-3e3c-4f61-b6d5-9e8a52b98ac9 · outbound

This paper cites Llmseceval: A dataset of natural language prompts for security evaluations.

Optimizing AI-Assisted Code Generation Llmseceval: A dataset of natural language prompts for security evaluations

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:29:15.346347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 94d504c0-3f55-4375-bb97-dd3fd5696f9b · outbound

This paper cites Stealing machine learning models via prediction {APIs}, pp.

Optimizing AI-Assisted Code Generation Stealing machine learning models via prediction {APIs}, pp

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:29:15.334511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d2a55545-d122-4ec9-8fb7-046f8f17d791 · outbound

This paper cites Natural Language Processing mit Transformern: Sprachanwendungen mit Hugging Face erstellen.

Optimizing AI-Assisted Code Generation Natural Language Processing mit Transformern: Sprachanwendungen mit Hugging Face erstellen

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:29:15.322800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7ed5515a-acc7-4f86-b13b-cc17cdfda6ca · outbound

This paper cites Forecasting.

Optimizing AI-Assisted Code Generation Forecasting

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:29:15.310733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7faa80a7-47eb-4959-9982-a0d821c9b86b · outbound

This paper cites Attention is all you need.

Optimizing AI-Assisted Code Generation Attention is all you need

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:13.046061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2d3b2f6-3faa-4b37-b5e3-6f22d26b5c47 · outbound

This paper cites Apple becomes the latest company to ban chatgpt for internal use.

Optimizing AI-Assisted Code Generation Apple becomes the latest company to ban chatgpt for internal use

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:29:15.292266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2f0ea2dd-df8a-47e5-8d0b-9000629962bc · outbound

This paper cites Codet5:Identifier-awareunifiedpre-trainedencoder-decodermodels for code understanding and generation, in: EMNLP, Association for Computational Linguistics.

Optimizing AI-Assisted Code Generation Codet5:Identifier-awareunifiedpre-trainedencoder-decodermodels for code understanding and generation, in: EMNLP, Association for Computational Linguistics

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:29:15.279893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d143f121-938d-432a-8053-4c6766cc3f7b · outbound

This paper cites Building bing developer assistant.

Optimizing AI-Assisted Code Generation Building bing developer assistant

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:29:15.267509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 36e0b577-d795-4dde-8707-cc176eac3dc4 · outbound

This paper cites Naturallanguagegenerationandunderstandingofbigcode for ai-assisted programming: A review.

Optimizing AI-Assisted Code Generation Naturallanguagegenerationandunderstandingofbigcode for ai-assisted programming: A review

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:13.061294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c01f7e33-3be4-4e10-9c1d-355695f7b5d7 · outbound

This paper cites A systematic evaluation of large language models of code, in: Chaudhuri, S.

Optimizing AI-Assisted Code Generation A systematic evaluation of large language models of code, in: Chaudhuri, S

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:13.065440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcdb833e-6288-4599-9aa8-0509009a5122 · outbound

This paper cites Groundinginteractivemachinelearningtooldesigninhownon-experts actually build models, in: Proceedings of the 2018 Designing Interactive Systems Conference, ACM, New York, NY, USA.

Optimizing AI-Assisted Code Generation Groundinginteractivemachinelearningtooldesigninhownon-experts actually build models, in: Proceedings of the 2018 Designing Interactive Systems Conference, ACM, New York, NY, USA

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:13.069181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9a171cd-21f5-4be1-84ba-051689db7c3e · outbound

This paper cites Assessingthequalityofgithubcopilot’scodegeneration,in:PROMISE2022, ACM.

Optimizing AI-Assisted Code Generation Assessingthequalityofgithubcopilot’scodegeneration,in:PROMISE2022, ACM

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:13.072964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eedd6217-3107-45a0-98a4-7ff9dcbcb31c · outbound

This paper cites AIassistedpubliccloudmanagement.

Optimizing AI-Assisted Code Generation AIassistedpubliccloudmanagement

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:29:15.253784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 901a83ab-d0af-456f-95d1-9abef7f8aa57 · outbound

This paper cites Whyjohnnycan’tprompt:Hownon-aiexpertstry (andfail)todesignllmprompts,in:Proceedingsofthe2023CHIConferenceonHumanFactorsinComputingSystems, ACM, New York, NY, USA.

Optimizing AI-Assisted Code Generation Whyjohnnycan’tprompt:Hownon-aiexpertstry (andfail)todesignllmprompts,in:Proceedingsofthe2023CHIConferenceonHumanFactorsinComputingSystems, ACM, New York, NY, USA

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:13.080517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a20d84c-5fcf-43b3-898e-e7e8c65b0141 · outbound

This paper cites Bing developer assistant: improving developer productivity by recommending sample code, in: Zimmermann, T.

Optimizing AI-Assisted Code Generation Bing developer assistant: improving developer productivity by recommending sample code, in: Zimmermann, T

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-11T15:29:13.084236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ae3184bc-b2fc-4501-85f9-a96b057d2442 · inbound

AI-Assisted Unit Test Writing and Test-Driven Code Refactoring: A Case Study cites this paper.

AI-Assisted Unit Test Writing and Test-Driven Code Refactoring: A Case Study Optimizing AI-Assisted Code Generation

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:53:08.487953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 801ae1bf-9225-4f70-920e-3046e09f10d1 · inbound

How Do Developers Interact with AI? An Exploratory Study on Modeling Developer Programming Behavior cites this paper.

How Do Developers Interact with AI? An Exploratory Study on Modeling Developer Programming Behavior Optimizing AI-Assisted Code Generation

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:13:03.928246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3a7d537c-bc0b-46e1-92c4-105a2b7d0779 · inbound

Bespoke Visual Assistance: What and How do Blind and Low-Vision People Create with Agentic Programming? cites this paper.

Bespoke Visual Assistance: What and How do Blind and Low-Vision People Create with Agentic Programming? Optimizing AI-Assisted Code Generation

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-01T06:48:49.709367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.