HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding | Paper Citation Record

Observation 4103278d-7210-449e-ae93-6585fc448255 · outbound

This paper cites Beyond code generation: An observational study of chatgpt usage in software engineering practice,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Beyond code generation: An observational study of chatgpt usage in software engineering practice,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:36.345173Z

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.

Observation 54b7dc58-021b-45fe-be69-47c1be835430 · outbound

This paper cites A large-scale survey on the usability of ai programming assistants: Successes and challenges,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding A large-scale survey on the usability of ai programming assistants: Successes and challenges,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:32.281070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6be208d-e0c9-447d-a03c-6cfc955601a0 · outbound

This paper cites Grounded copilot: How programmers interact with code-generating models,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Grounded copilot: How programmers interact with code-generating models,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:32.380541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36a74362-867e-4288-9537-ada9bb921e6e · outbound

This paper cites Supporting sensemaking of large language model outputs at scale,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Supporting sensemaking of large language model outputs at scale,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:36.287029Z

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.

Observation 2db66144-1d75-4799-86c6-21450b33cc0d · outbound

This paper cites Do users write more insecure code with ai assistants?.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Do users write more insecure code with ai assistants?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:32.611992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2652dfed-f784-48f0-a64a-71194ccec350 · outbound

This paper cites Asleep at the keyboard? assessing the security of github copilot’s code con- tributions,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Asleep at the keyboard? assessing the security of github copilot’s code con- tributions,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:36.244688Z

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.

Observation a0838c10-9417-4062-9a27-da0945749898 · outbound

This paper cites Poisoned chatgpt finds work for idle hands: Exploring developers’ coding practices with inse- cure suggestions from poisoned ai models,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Poisoned chatgpt finds work for idle hands: Exploring developers’ coding practices with inse- cure suggestions from poisoned ai models,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:36.221048Z

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.

Observation 3d3d92df-da61-45ee-ac83-1fb30731095b · outbound

This paper cites Vulnerabilities in ai code generators: Exploring targeted data poisoning attacks,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Vulnerabilities in ai code generators: Exploring targeted data poisoning attacks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:36.197057Z

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.

Observation 3e297078-a2ae-4d8b-92f0-4a3e4026af84 · outbound

This paper cites Large language models for code: Security hardening and adversarial testing,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Large language models for code: Security hardening and adversarial testing,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:36.149912Z

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.

Observation cb79a65c-2733-46be-bfc3-35c2e7b6ecd8 · outbound

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.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Can We Trust Large Language Models Generated Code? A Framework for In-Context Learning, Security Patterns, and Code Evaluations Across Diverse LLMs

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:33.050474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2204b6c3-6a60-45c4-85bc-d0885cf5e8ad · outbound

This paper cites AI-Resilient Interfaces.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding AI-Resilient Interfaces

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:33.126446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b0a6132-c152-49f3-948b-ce3f910c65f3 · outbound

This paper cites An ai- resilient text rendering technique for reading and skimming documents,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding An ai- resilient text rendering technique for reading and skimming documents,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:36.120907Z

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.

Observation d7b6d106-e95c-4f3f-a707-177ab2eb4015 · outbound

This paper cites Validating ai-generated code with live programming,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Validating ai-generated code with live programming,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:36.096251Z

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.

Observation 85bde310-b546-44a2-88ea-80582c441372 · outbound

This paper cites Neural Machine Translation of Rare Words with Subword Units.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Neural Machine Translation of Rare Words with Subword Units

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:33.365326Z

Source-reported events for the cited work

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Observation c1a1f3e7-8ae6-4798-ac06-0937456d98dd · outbound

This paper cites SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:33.425112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dd4cdea-1ea6-44bb-8c79-40a36cf8af83 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Evaluating Large Language Models Trained on Code

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:33.521912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d71b36b0-d665-4f60-93f2-38f77998a482 · outbound

This paper cites Generation probabilities are not enough: Uncertainty highlighting in ai code completions,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Generation probabilities are not enough: Uncertainty highlighting in ai code completions,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:36.073273Z

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.

Observation d3f60565-0924-48b6-a057-3cdafe967dda · outbound

This paper cites Effect of confidence and explanation on accuracy and trust calibration in ai-assisted decision mak- ing,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Effect of confidence and explanation on accuracy and trust calibration in ai-assisted decision mak- ing,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:36.042713Z

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.

Observation 43f93d01-4978-42af-b51b-0226cf0ec3c7 · outbound

This paper cites On the design of ai-powered code assistants for notebooks,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding On the design of ai-powered code assistants for notebooks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:36.010731Z

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.

Observation 203ef208-37c4-4750-9fed-31fad305e615 · outbound

This paper cites Do llms consider security? an empirical study on responses to programming questions,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Do llms consider security? an empirical study on responses to programming questions,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:35.988695Z

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.

Observation 869aaaa3-0f0a-4fd3-885d-b6e2af25385b · outbound

This paper cites Secuguard: Leveraging pattern-exploiting training in language models for advanced software vulnerability detec- tion,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Secuguard: Leveraging pattern-exploiting training in language models for advanced software vulnerability detec- tion,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:35.963367Z

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.

Observation cb99a3ed-debc-4f0a-a9c4-a2d46e64245e · outbound

This paper cites Finetuning large language models for vulnerability detection,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Finetuning large language models for vulnerability detection,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:33.752225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9fba813-ad88-44ac-b018-df23aa2bd02b · outbound

This paper cites VulDetectBench: Evaluating the Deep Capability of Vulnerability Detection with Large Language Models.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding VulDetectBench: Evaluating the Deep Capability of Vulnerability Detection with Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:33.764455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e4ee710-3c3d-45c7-ab16-b965a4a252cc · outbound

This paper cites Examining zero-shot vulnerability repair with large language models,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Examining zero-shot vulnerability repair with large language models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:35.918161Z

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.

Observation 55060c22-d906-458d-aba8-f63ef39a7b09 · outbound

This paper cites Evaluating large language models for real-world vulnerability repair in c/c++ code,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Evaluating large language models for real-world vulnerability repair in c/c++ code,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:35.894391Z

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.

Observation 63a120e1-c58d-426f-8034-b2e9a2581cce · outbound

This paper cites A study of vulnerability repair in javascript programs with large language models,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding A study of vulnerability repair in javascript programs with large language models,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:35.876534Z

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.

Observation 3413c53c-1130-47e2-b45b-0feaf6651974 · outbound

This paper cites Lost at C: A User Study on the Security Implications of Large Language Model Code Assistants.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Lost at C: A User Study on the Security Implications of Large Language Model Code Assistants

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:34.020820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9743a7d-677d-4891-a293-d31ab139fca4 · outbound

This paper cites Coladder: Manipulating code generation via multi-level blocks,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Coladder: Manipulating code generation via multi-level blocks,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:35.856310Z

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.

Observation ad94372d-6144-4df9-811a-7af8e4b93311 · outbound

This paper cites Waitgpt: Monitoring and steering conversational llm agent in data analysis with on-the-fly code visualization,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Waitgpt: Monitoring and steering conversational llm agent in data analysis with on-the-fly code visualization,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:35.834160Z

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.

Observation 0f294c97-1325-4079-a7a6-fa7f9a320d2e · outbound

This paper cites Intention is All You Need: Refining Your Code from Your Intention.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Intention is All You Need: Refining Your Code from Your Intention

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:03:35.223416Z

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.

Observation 6ebcebe5-91bf-4788-82b7-4adf8e206e79 · outbound

This paper cites Dynavis: Dynamically synthesized ui widgets for visualization editing,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Dynavis: Dynamically synthesized ui widgets for visualization editing,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:35.812693Z

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.

Observation e3a82972-95f0-4fd9-bf62-acc570780384 · outbound

This paper cites An Exploratory Study of ML Sketches and Visual Code Assistants.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding An Exploratory Study of ML Sketches and Visual Code Assistants

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:03:35.194443Z

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.

Observation b0c01a7d-79b2-4aa3-abf7-d8362e40b92b · outbound

This paper cites Improving steering and verification in ai- assisted data analysis with interactive task decomposition,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Improving steering and verification in ai- assisted data analysis with interactive task decomposition,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:35.789631Z

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.

Observation dee6694c-5acc-4157-9338-e75044e1efda · outbound

This paper cites Beyond code generation: Llm-supported exploration of the program design space,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Beyond code generation: Llm-supported exploration of the program design space,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:35.770957Z

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.

Observation 7aaea2b5-6817-433d-bc2d-ac72da5d2c66 · outbound

This paper cites Luminate: Structured generation and exploration of design space with large language models for human-ai co-creation,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Luminate: Structured generation and exploration of design space with large language models for human-ai co-creation,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:34.694276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ef84ca3-1f40-4bc8-a8ea-3de2e847c011 · outbound

This paper cites Ivie: Lightweight anchored explanations of just-generated code,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Ivie: Lightweight anchored explanations of just-generated code,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:35.752182Z

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.

Observation acc8224a-d1d8-401e-9441-0a90f6ea6ff1 · outbound

This paper cites Biscuit: Scaffolding llm-generated code with ephemeral uis in computational notebooks,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Biscuit: Scaffolding llm-generated code with ephemeral uis in computational notebooks,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:35.723430Z

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.

Observation 7127e03f-6b19-4164-bf29-120cf29cd06a · outbound

This paper cites Investigating explainability of generative ai for code through scenario-based design,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Investigating explainability of generative ai for code through scenario-based design,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:35.660922Z

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.

Observation 984f7585-130e-4f58-9adf-f7dee05c1ce2 · outbound

This paper cites Expectation vs. experi- ence: Evaluating the usability of code generation tools powered by large language models,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Expectation vs. experi- ence: Evaluating the usability of code generation tools powered by large language models,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:34.774483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88acd91b-6b3f-40c7-8100-1a003bae7a32 · outbound

This paper cites ”i’m not sure, but.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding ”i’m not sure, but

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:34.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2429b6a4-b7c7-4984-8d0e-bd7ebef2ca27 · outbound

This paper cites Binary Codes Capable of Correcting Deletions, Insertions and Reversals,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Binary Codes Capable of Correcting Deletions, Insertions and Reversals,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:34.793703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 001d5998-b2dc-4b6a-856a-40485f480b90 · outbound

This paper cites Qwen2.5-Coder Technical Report.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Qwen2.5-Coder Technical Report

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:34.798375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2f56dd5-2aa4-46fd-be33-cc8837172aed · outbound

This paper cites Efficient memory management for large language model serving with pagedattention,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Efficient memory management for large language model serving with pagedattention,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:34.803115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad7e479e-8aeb-44b4-b2bd-029ce2b8583c · outbound

This paper cites Github codespaces,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Github codespaces,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:35.558098Z

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.

Observation a8610079-6d15-4664-bcae-baf0aa7c8ada · outbound

This paper cites Development of nasa-tlx (task load index): Results of empirical and theoretical research,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Development of nasa-tlx (task load index): Results of empirical and theoretical research,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:35.494463Z

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.

Observation 6eaad42b-0bbe-4904-ac11-edc9f913c6bc · outbound

This paper cites Using thematic analysis in psychology,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Using thematic analysis in psychology,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:34.819492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 777b4784-3566-4178-ae25-25c884705b01 · outbound

This paper cites Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:34.825151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86a82c00-d5e4-4b1d-a411-af4a68a7c2b1 · outbound

This paper cites The Impact of AI on Developer Productivity: Evidence from GitHub Copilot.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding The Impact of AI on Developer Productivity: Evidence from GitHub Copilot

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:34.830382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bbdfd30-83fe-40ef-b44c-03af1ee54c5f · outbound

This paper cites Trade-offs for substi- tuting a human with an agent in a pair programming context: the good, the bad, and the ugly,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Trade-offs for substi- tuting a human with an agent in a pair programming context: the good, the bad, and the ugly,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:03:35.427361Z

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.

Observation 4143eadb-c0d2-42be-aa1f-9938bf738e47 · outbound

This paper cites Measuring github copilot’s impact on productivity,.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Measuring github copilot’s impact on productivity,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:34.842391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09aad229-ae18-4498-8125-3d4a4c5e6981 · outbound

This paper cites Assistance or Disruption? Exploring and Evaluating the Design and Trade-offs of Proactive AI Programming Support.

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding Assistance or Disruption? Exploring and Evaluating the Design and Trade-offs of Proactive AI Programming Support

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:34.847694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers