Paper Citation Record · LEDGER

GenAI for Automotive Software Development: From Requirements to Wheels

As of 23 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 4 inbound Pith citation observations for arXiv:2507.18223.

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

pith.paper-citation-record.v1
2507.18223 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:42:19.419502Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:40:41.487942Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T18:02:42.487238Z

Reference resolution

16 of 16 outbound references displayed

verified exact4
verified fuzzy5
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 37a7c70e-e799-40ba-9739-d0aadbe16590 · outbound

This paper cites COVESA website (2025), https://covesa.global/vehicle-signal-specification/, accessed: 2025-07-10.

GenAI for Automotive Software Development: From Requirements to Wheels COVESA website (2025), https://covesa.global/vehicle-signal-specification/, accessed: 2025-07-10

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:20.093389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 35b9ba93-a306-47ac-8a90-5798b113be34 · outbound

This paper cites Hugging Face model reposi- tory (2024), https://huggingface.co/deepseek-ai/deepseek-llm-7b-chat, accessed: 2025-07-11.

GenAI for Automotive Software Development: From Requirements to Wheels Hugging Face model reposi- tory (2024), https://huggingface.co/deepseek-ai/deepseek-llm-7b-chat, accessed: 2025-07-11

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:20.084610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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

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

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 2026-08-23T06:30:58.430688+00:00.

Observation 8abd9783-699e-424f-8a5c-741e2f207f7a · outbound

This paper cites Optimizing Retrieval Augmented Generation for Object Constraint Language.

GenAI for Automotive Software Development: From Requirements to Wheels Optimizing Retrieval Augmented Generation for Object Constraint Language

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T14:42:19.473357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9fdd4398-21cf-4ca3-b8f4-020788c6db29 · outbound

This paper cites McKinsey & Company Insight (Jan 2020), https://www.mckinsey.com/industries/automotive-and-assembly/our- insights/the-case-for-an-end-to-end-automotive-software-platform.

GenAI for Automotive Software Development: From Requirements to Wheels McKinsey & Company Insight (Jan 2020), https://www.mckinsey.com/industries/automotive-and-assembly/our- insights/the-case-for-an-end-to-end-automotive-software-platform

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:20.009103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 73ec4ebe-29c6-449f-ac49-5e9ea9ae6fea · outbound

This paper cites n8n.io (2025), https://n8n.io/, accessed: 2025-07-09.

GenAI for Automotive Software Development: From Requirements to Wheels n8n.io (2025), https://n8n.io/, accessed: 2025-07-09

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:19.999414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3efe6b81-d447-4b70-8724-701b67cc00e8 · outbound

This paper cites In: 2024 IEEE International Symposium on Systems Engineering (ISSE).

GenAI for Automotive Software Development: From Requirements to Wheels In: 2024 IEEE International Symposium on Systems Engineering (ISSE)

Reference 7

Resolution: verified exact; raw_fallback, observed 2026-08-06T14:42:19.979222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 183d1444-3ab0-44ed-b5f7-b89bfc5fa51c · outbound

This paper cites LLM-enabled Instance Model Generation.

GenAI for Automotive Software Development: From Requirements to Wheels LLM-enabled Instance Model Generation

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T14:42:19.856468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 012a3ead-df8e-47a5-aa79-03cf4347910a · outbound

This paper cites arXiv preprint arXiv:2505.02500 (May 2025), submitted May 2025.

GenAI for Automotive Software Development: From Requirements to Wheels arXiv preprint arXiv:2505.02500 (May 2025), submitted May 2025

Reference 9

Resolution: verified exact; raw_fallback, observed 2026-08-06T14:42:19.842370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dee62fc6-7b6d-4520-b303-d89e6a65e4db · outbound

This paper cites Technical report, Technical University of Munich (2024), https://mediatum.ub.tum.de/doc/1738462/1738462.pdf.

GenAI for Automotive Software Development: From Requirements to Wheels Technical report, Technical University of Munich (2024), https://mediatum.ub.tum.de/doc/1738462/1738462.pdf

Reference 10

Resolution: verified exact; raw_fallback, observed 2026-08-06T14:42:19.768613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0313bf40-4f5b-4013-8169-9f014ceb0459 · outbound

This paper cites Multi-modal Summarization in Model-Based Engineering: Automotive Software Development Case Study.

GenAI for Automotive Software Development: From Requirements to Wheels Multi-modal Summarization in Model-Based Engineering: Automotive Software Development Case Study

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T14:42:19.405074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27ffe7d0-a9ea-436c-8918-05359162374c · outbound

This paper cites In: Journal of Artificial Intelligence & Cloud Computing, vol.

GenAI for Automotive Software Development: From Requirements to Wheels In: Journal of Artificial Intelligence & Cloud Computing, vol

Reference 12

Resolution: verified exact; doi, observed 2026-08-06T14:42:19.460227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4b13d3c5-5f88-4489-b4bc-980d5b683222 · outbound

This paper cites RECSIP: REpeated Clustering of Scores Improving the Precision.

GenAI for Automotive Software Development: From Requirements to Wheels RECSIP: REpeated Clustering of Scores Improving the Precision

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T14:42:19.450193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ba935dc2-3904-45d3-984f-de4d874c05bb · outbound

This paper cites In: IEEE Software, vol.

GenAI for Automotive Software Development: From Requirements to Wheels In: IEEE Software, vol

Reference 14

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T14:42:19.673111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 27187728-fc58-43bd-bbf3-302805897550 · outbound

This paper cites Publications Office of the European Union (Oct 2020), uN-ECE Reg.

GenAI for Automotive Software Development: From Requirements to Wheels Publications Office of the European Union (Oct 2020), uN-ECE Reg

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:42:19.990033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 94a1b00a-e3d3-44e3-bd00-7afce5dafc0a · outbound

This paper cites In: 2024 2nd International Conference on Foundation and Large Language Models (FLLM).

GenAI for Automotive Software Development: From Requirements to Wheels In: 2024 2nd International Conference on Foundation and Large Language Models (FLLM)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T14:42:19.419502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 940846f5-2045-412d-9cd1-beb8b872f59a · inbound

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving cites this paper.

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving GenAI for Automotive Software Development: From Requirements to Wheels

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T10:40:41.487942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e88beae0-30ad-4fc7-9612-63302761da7b · inbound

LLM-Assisted Tool for Joint Generation of Formulas and Functions in Rule-Based Verification of Map Transformations cites this paper.

LLM-Assisted Tool for Joint Generation of Formulas and Functions in Rule-Based Verification of Map Transformations GenAI for Automotive Software Development: From Requirements to Wheels

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-18T02:00:40.091123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9f2f0aff-2523-4ac1-9c6f-5fa2003332e6 · inbound

GenAI-Driven Approach to RISC-V Supply Chain Exploration cites this paper.

GenAI-Driven Approach to RISC-V Supply Chain Exploration GenAI for Automotive Software Development: From Requirements to Wheels

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-19T18:02:42.488697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7b514883-b106-4872-a189-300c3adec157 · inbound

LLM-Driven Approach to Modeling Tool Interoperability in Automotive Domain cites this paper.

LLM-Driven Approach to Modeling Tool Interoperability in Automotive Domain GenAI for Automotive Software Development: From Requirements to Wheels

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T01:29:49.469879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.