Paper Citation Record · LEDGER

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations

As of 19 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 2 inbound Pith citation observations for arXiv:2505.13263.

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

pith.paper-citation-record.v1
2505.13263 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:19:10.260119Z

measured 41 of 41 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:48:45.880763Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy31
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

Observation c7bdbeac-dca7-4b2f-8de1-73562ae44d88 · outbound

This paper cites Healai: A healthcare llm for effective medical documentation,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Healai: A healthcare llm for effective medical documentation,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:10.064528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2fd75e5-575b-4144-b5f7-c70b8d7f641e · outbound

This paper cites Evaluating the Feasibility of ChatGPT in Healthcare: An Analysis of Multiple Clinical and Research Scenarios,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Evaluating the Feasibility of ChatGPT in Healthcare: An Analysis of Multiple Clinical and Research Scenarios,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:11.144181Z

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 378e5f31-8c86-402e-928f-613f573fedf7 · outbound

This paper cites Revolutionizing Finance with LLMs: An Overview of Applications and Insights,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Revolutionizing Finance with LLMs: An Overview of Applications and Insights,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:11.127881Z

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 6e3ac4a4-c9d3-4772-992d-1acad58ca132 · outbound

This paper cites Human Perception of LLM-generated Text Content in Social Media Environ- ments,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Human Perception of LLM-generated Text Content in Social Media Environ- ments,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:11.111986Z

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 9612c4e0-6793-4e4a-a426-86aacb0eff8e · outbound

This paper cites SocialMind: LLM-based Proactive AR Social Assistive System with Human-like Perception for In-situ Live Interactions,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations SocialMind: LLM-based Proactive AR Social Assistive System with Human-like Perception for In-situ Live Interactions,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:11.095321Z

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 547a3fef-f27c-4045-9b56-4ed2760c8415 · outbound

This paper cites Benchmarks and Metrics for Evaluations of Code Generation: A Critical Review,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Benchmarks and Metrics for Evaluations of Code Generation: A Critical Review,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:11.078422Z

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 cfabf75a-d414-4b38-977b-3afcaaf74dcd · outbound

This paper cites LLM-based Control Code Generation using Image Recognition,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations LLM-based Control Code Generation using Image Recognition,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:11.061834Z

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 a2dade2c-4c89-4699-919e-590d3b2c4f30 · outbound

This paper cites Towards Specification-Driven LLM-Based Generation of Embedded Automotive Software,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Towards Specification-Driven LLM-Based Generation of Embedded Automotive Software,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:11.045432Z

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 465e5fe9-7db1-4d1f-9ae3-75279599deaf · outbound

This paper cites Requirements are All You Need: From Requirements to Code with LLMs,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Requirements are All You Need: From Requirements to Code with LLMs,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:11.027931Z

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 6ce8e1c7-0181-4e4b-9d72-281c2d8f4337 · outbound

This paper cites An Empirical Study of the Code Generation of Safety-Critical Software Using LLMs,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations An Empirical Study of the Code Generation of Safety-Critical Software Using LLMs,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:11.011335Z

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 5ff7cc43-db4c-4dd9-939e-8ceb47e9be9e · outbound

This paper cites Madni, N.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Madni, N

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:10.994715Z

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 bfb75240-d2f8-49b9-99d8-7ffdf39da0e1 · outbound

This paper cites An Incremental V-Model Process for Automotive Development,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations An Incremental V-Model Process for Automotive Development,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:10.978190Z

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 d4298838-2be9-49de-9270-946637aa0888 · outbound

This paper cites Aegis:An Advanced LLM-Based Multi-Agent for Intelligent Functional Safety Engineering,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Aegis:An Advanced LLM-Based Multi-Agent for Intelligent Functional Safety Engineering,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:10.961701Z

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 0a53f3d6-e737-4dd0-83cd-8dd58725412a · outbound

This paper cites Expanding the Classical V-Model for the Development of Complex Systems In- corporating AI,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Expanding the Classical V-Model for the Development of Complex Systems In- corporating AI,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:10.945932Z

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 14ec8976-e14e-48a0-9516-fcf400a6a6b8 · outbound

This paper cites Systems Engineering for Autonomous Vehicles; Su- pervising AI using Large Language Models (SSuperLLM),.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Systems Engineering for Autonomous Vehicles; Su- pervising AI using Large Language Models (SSuperLLM),

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:10.928486Z

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 03788e39-31fa-4148-806b-22eef0709a20 · outbound

This paper cites CARLA: An Open Urban Driving Simulator,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations CARLA: An Open Urban Driving Simulator,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:10.908887Z

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 5027fc39-a48f-4ed6-a78d-2ff1f6538050 · outbound

This paper cites Un regulation no 152 – uniform provisions concerning the approval of motor vehicles with regard to the advanced emergency braking system (aebs) for m1 and n1 vehicles [2020/1597],.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Un regulation no 152 – uniform provisions concerning the approval of motor vehicles with regard to the advanced emergency braking system (aebs) for m1 and n1 vehicles [2020/1597],

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:10.892848Z

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 5f05e20b-2de7-41fb-bba8-32cbe8302fb4 · outbound

This paper cites ChatScene: Knowledge-Enabled Safety- Critical Scenario Generation for Autonomous Vehicles,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations ChatScene: Knowledge-Enabled Safety- Critical Scenario Generation for Autonomous Vehicles,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:10.875699Z

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 febfe426-93d7-4ce9-897e-6dbb0e6ce580 · outbound

This paper cites SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:10.859128Z

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 13e6c68c-67a3-41f6-afcc-8158b601e14e · outbound

This paper cites Scenario Factory: Creating Safety-Critical Traffic Scenarios for Automated Vehicles,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Scenario Factory: Creating Safety-Critical Traffic Scenarios for Automated Vehicles,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:10.841443Z

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 6ac24fec-2730-4c71-9fa6-c22ce107a920 · outbound

This paper cites Language Conditioned Traffic Generation,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Language Conditioned Traffic Generation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:10.823671Z

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 4e7d4878-8aec-4fc9-b3c3-ef1460511854 · outbound

This paper cites Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:10.805915Z

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 53f34196-d55a-41a9-bb01-37e5e718c20b · outbound

This paper cites Bridging Data-Driven and Knowledge-Driven Approaches for Safety- Critical Scenario Generation in Automated Vehicle Validation,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Bridging Data-Driven and Knowledge-Driven Approaches for Safety- Critical Scenario Generation in Automated Vehicle Validation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:10.786071Z

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 f6bdd142-911d-4fdd-97c1-030f6651851b · outbound

This paper cites A Survey on Large Language Models for Code Generation.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations A Survey on Large Language Models for Code Generation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:10.183765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e98dbcfe-419c-4fb3-ae72-fa777f7ddd3b · outbound

This paper cites From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:10.189151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2198a5c-b540-465f-ae10-ae0a409b1a63 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Evaluating Large Language Models Trained on Code

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:10.194152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35c67f64-6292-436a-8fe4-c2f9b39bf465 · outbound

This paper cites Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:10.199450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71a6342b-b68f-4e6a-b788-f0cb19cb8eff · outbound

This paper cites Program Synthesis with Large Language Models.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Program Synthesis with Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:10.205530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96517f36-b8c9-4b03-84bd-8923240c01da · outbound

This paper cites Generative ai for ocl constraint generation: Dataset collection and llm fine-tuning,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Generative ai for ocl constraint generation: Dataset collection and llm fine-tuning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:10.761293Z

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 15dbf4a4-9f20-4f56-82db-018b586951a5 · outbound

This paper cites On Codex Prompt Engineering for OCL Generation: An Empirical Study.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations On Codex Prompt Engineering for OCL Generation: An Empirical Study

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:10.216309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c382ec22-cec7-4937-b313-dd0b92558f91 · outbound

This paper cites On the use of large language models in model-driven engineering,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations On the use of large language models in model-driven engineering,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:10.740571Z

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 bab6c197-a6cb-4aa9-a06b-db50b3fadf41 · outbound

This paper cites A Survey on In-context Learning,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations A Survey on In-context Learning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:10.721575Z

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 ab96224d-6316-4bfc-94cb-99c3532e1992 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Chain-of-Thought Prompting Elicits Reasoning in Large Language Models,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:10.701470Z

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 f5c9918c-1f57-4474-8352-c2b8e97fbe9e · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations ReAct: Synergizing Reasoning and Acting in Language Models,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:10.680247Z

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 4ad8067e-abbc-4309-8c1e-a48a92b88106 · outbound

This paper cites Un regulation no.157 – uniform provisions concerning the approval of vehicles with regards to automated lane keeping systems [2021/389],.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Un regulation no.157 – uniform provisions concerning the approval of vehicles with regards to automated lane keeping systems [2021/389],

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:10.659811Z

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 6c0de82b-7dce-4773-a63d-85182f8ad090 · outbound

This paper cites Scenic: A language for scenario specification and data generation,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Scenic: A language for scenario specification and data generation,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:10.640498Z

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 b6fe03d7-b2f5-46de-a1c5-deaa5c2ea415 · outbound

This paper cites A Survey on LLM-based Code Genera- tion for Low-Resource and Domain-Specific Programming Languages,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations A Survey on LLM-based Code Genera- tion for Low-Resource and Domain-Specific Programming Languages,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:10.621554Z

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 6836a42a-cd61-4ae1-88ed-7b3d93efc2a8 · outbound

This paper cites Adopting RAG for LLM-Aided Future Vehicle Design,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Adopting RAG for LLM-Aided Future Vehicle Design,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:19:10.600135Z

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 662ae882-189b-4749-b098-5cd8bdd4c5a8 · outbound

This paper cites Automating automotive software development: A synergy of generative ai and formal methods,.

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Automating automotive software development: A synergy of generative ai and formal methods,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:10.260119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 4a0d39f5-381c-40e9-8e33-6755dad5173f · inbound

Survey of GenAI for Automotive Software Development: From Requirements to Executable Code cites this paper.

Survey of GenAI for Automotive Software Development: From Requirements to Executable Code Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T15:48:45.880763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaab553d-c6bc-48ed-bb87-275c6b2480a1 · inbound

GenAI for Automotive Software Development: From Requirements to Wheels cites this paper.

GenAI for Automotive Software Development: From Requirements to Wheels Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T14:42:19.486234Z

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.