Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T14:42:19.419502Z
Paper Citation Record · LEDGER
GenAI for Automotive Software Development: From Requirements to Wheels
As of 8 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T10:40:41.487942Z
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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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.