Paper Citation Record · LEDGER

Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3

As of 17 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 5 inbound Pith citation observations for arXiv:2504.16027.

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

pith.paper-citation-record.v1
2504.16027 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:15:40.443879Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:10:06.520779Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T07:22:31.204263Z

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy3
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fb8905c4-dcd8-4010-98cd-93dbaf7f9ed4 · outbound

This paper cites Coding by Design: GPT-4 empowers Agile Model Driven Development.

Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3 Coding by Design: GPT-4 empowers Agile Model Driven Development

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T11:15:40.387113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24f86a0b-968c-4614-a071-d36255375d0b · outbound

This paper cites Evaluating Large Language Models in Detecting Test Smells.

Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3 Evaluating Large Language Models in Detecting Test Smells

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:15:40.397416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8d06b7e-9688-49bb-bc04-b9eb0b08fdf5 · outbound

This paper cites How Propense Are Large Language Models at Producing Code Smells? A Benchmarking Study.

Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3 How Propense Are Large Language Models at Producing Code Smells? A Benchmarking Study

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:15:40.402491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a07f0e5-c5e9-4509-a6be-83b625b0e0b7 · outbound

This paper cites Are sonarqube rules inducing bugs? In 2020 IEEE 27th international conference on software analysis, evolution and reengineering (SANER), pages 501–511.

Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3 Are sonarqube rules inducing bugs? In 2020 IEEE 27th international conference on software analysis, evolution and reengineering (SANER), pages 501–511

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:15:40.656078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 791c30f9-3841-4da4-9c8d-9b99a15567a3 · outbound

This paper cites Code smells.

Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3 Code smells

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:15:40.640971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c8a25a31-156c-4489-9809-05d30c0b66c8 · outbound

This paper cites Token-Hungry, Yet Precise: DeepSeek R1 Highlights the Need for Multi-Step Reasoning Over Speed in MATH.

Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3 Token-Hungry, Yet Precise: DeepSeek R1 Highlights the Need for Multi-Step Reasoning Over Speed in MATH

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:15:40.435127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fccf7bbb-24b7-4e93-8749-f80df37bc54f · outbound

This paper cites DeepSeek-V3 Technical Report.

Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3 DeepSeek-V3 Technical Report

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:15:40.443879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38e845e1-9557-4a24-a77e-4580133b5488 · outbound

This paper cites Code Smells in Machine Learning Systems.

Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3 Code Smells in Machine Learning Systems

Reference 2006

Resolution: unresolved; no resolver link, observed 2026-08-16T11:15:40.416855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d07daf0-8c55-4afd-a766-2a805a40ee2e · outbound

This paper cites Causes, impacts, and detection approaches of code smell: a survey.

Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3 Causes, impacts, and detection approaches of code smell: a survey

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:15:40.626743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 80fd2e32-b144-4b00-9c33-776fb8c35c64 · outbound

This paper cites an unresolved cited work.

Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3 Unresolved cited work

Reference 2018

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:15:40.611206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c6b4c137-0512-471f-b1b3-601e0ac00e62 · outbound

This paper cites an unresolved cited work.

Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3 Unresolved cited work

Reference 2019

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:15:40.596615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1ba3ae49-a05f-4ab7-9734-54e5ba929900 · outbound

This paper cites ChatGPT as a Software Development Bot: A Project-based Study.

Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3 ChatGPT as a Software Development Bot: A Project-based Study

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T11:15:40.392603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3697bb99-00f1-4bae-848b-541a080f89d3 · outbound

This paper cites GPT-4 Technical Report.

Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3 GPT-4 Technical Report

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-16T11:15:40.439675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 5ea1dce1-7027-46f5-ac13-12847ff76092 · inbound

Are We SOLID Yet? An Empirical Study on Prompting LLMs to Detect Design Principle Violations cites this paper.

Are We SOLID Yet? An Empirical Study on Prompting LLMs to Detect Design Principle Violations Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T11:10:06.520779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b2aeaaf-6b14-4f49-a423-6fe8031865a7 · inbound

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning cites this paper.

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:22:31.207472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4bef57b6-c9e3-4791-bd69-b67b2f4bfe64 · inbound

Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions cites this paper.

Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-02T23:04:36.291592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ab5abea-5ee6-4819-88d6-1acc5e1c087d · inbound

DynamicsLLM: a Dynamic Analysis-based Tool for Generating Intelligent Execution Traces Using LLMs to Detect Android Behavioural Code Smells cites this paper.

DynamicsLLM: a Dynamic Analysis-based Tool for Generating Intelligent Execution Traces Using LLMs to Detect Android Behavioural Code Smells Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:51:01.312074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c91ab388-4f3d-49ae-8a5b-ecda5e0ea9db · inbound

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts cites this paper.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T11:57:56.953101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.