On the public citation graph
ConTested: Consistency-Aided Tested Code Generation with LLM
0 signed · 20 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/icse48619.2023.00194openalex-snapshot
Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction
inferredcites →https://doi.org/10.1145/3597207openalex-snapshot
CodeEditor : Learning to Edit Source Code with Pre-trained Models
inferredcites →https://doi.org/10.1145/3672459openalex-snapshot
Self-Collaboration Code Generation via ChatGPT
inferredcites →https://doi.org/10.1609/aaai.v34i05.6430openalex-snapshot
TreeGen: A Tree-Based Transformer Architecture for Code Generation
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.231openalex-snapshot
Natural Language to Code Translation with Execution
inferredcites →https://doi.org/10.18653/v1/2023.findings-emnlp.508openalex-snapshot
Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate
inferredcites →https://doi.org/10.18653/v1/2024.acl-long.78openalex-snapshot
Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency
inferredcites →https://doi.org/10.18653/v1/2024.acl-short.28openalex-snapshot
Soft Self-Consistency Improves Language Models Agents
inferredcites →https://doi.org/10.18653/v1/p17-1105openalex-snapshot
Abstract Syntax Networks for Code Generation and Semantic Parsing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s11432-025-4670-0openalex-snapshot
A survey on large language models for software engineering
inferred← citeshttps://doi.org/10.1109/issrew67781.2025.00060openalex-snapshot
CodeQUEST: Evaluation and Improvement of Code Quality Using LLMs
inferred← citeshttps://doi.org/10.1145/3793675openalex-snapshot
Less Is More: Failing Test Generation with Large Language Models
inferred← citeshttps://doi.org/10.1145/3796263.3796265openalex-snapshot
Artificial intelligence tools in code quality analysis:A systematic review
inferred← citeshttps://doi.org/10.1145/3797071openalex-snapshot
Mining Long Tail Bugs: Identifying Rare and Overlooked Issues in Code
inferred← citeshttps://doi.org/10.1145/3797146openalex-snapshot
Validating LLM-Generated SQL Queries through Metamorphic Prompting
inferred← citeshttps://doi.org/10.1145/3798212openalex-snapshot
MetaSpace: Metamorphic Testing for Spatial Cognition in Embodied Agents
inferred← citeshttps://doi.org/10.1145/3832783.3834388openalex-snapshot
From Runnable to Shippable: Multi-Agent Test-Driven Development for Generating Full-Stack Web Applications from Requirements
inferred← citeshttps://doi.org/10.1145/3832783.3837478openalex-snapshot
FAiLGen: Calibrating LLM for Failing Test Generation with Monte Carlo Tree Search
inferred← citeshttps://doi.org/10.1145/3840382openalex-snapshot
Cross-Model Collaboration for Enhancing LLM-Based Code Generation
inferred← citeshttps://doi.org/10.3390/info17010073openalex-snapshot
Foundation Models in Software Engineering: A Taxonomy, Systematic Review, and In-Depth Analysis of Testing Support
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.