Paper Citation Record · LEDGER

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering

As of 16 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2608.08038.

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

pith.paper-citation-record.v1
2608.08038 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:36:44.945833Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

verified exact1
verified fuzzy23
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 27e128c6-d9ed-41a4-91c4-5f78eacf4ed6 · outbound

This paper cites Towards a unified data model for software-defined vehicles,.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Towards a unified data model for software-defined vehicles,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:36:45.418830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ae772d0f-a0d6-44a0-a174-d8748eccaea6 · outbound

This paper cites an unresolved cited work.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-12T00:36:45.410742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5a15b385-28b3-48e5-8c22-7a6cc683e438 · outbound

This paper cites an unresolved cited work.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-12T00:36:45.403085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ecd7a2d1-e18b-4fb2-abed-4093ce8c368b · outbound

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

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Automating automotive software development: A synergy of generative AI and formal methods,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:36:45.384833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 00799705-1605-487b-bec0-a4b734d84849 · outbound

This paper cites SafeDriveRAG: Towards Safe Autonomous Driving with Knowledge Graph-based Retrieval-Augmented Generation.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering SafeDriveRAG: Towards Safe Autonomous Driving with Knowledge Graph-based Retrieval-Augmented Generation

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-12T00:36:45.121109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 09b3b6fd-7347-48fc-9e50-98d04f3d361a · outbound

This paper cites Modeling autonomous driving software with generative AI: Opportunities and risks,.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Modeling autonomous driving software with generative AI: Opportunities and risks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:36:45.374724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3c832474-9a7e-49e9-9044-5af8a0f98b79 · outbound

This paper cites Text-to-code generation with hierarchical context,.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Text-to-code generation with hierarchical context,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:36:45.364344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9c37ea44-3e78-429d-8f9a-4db601a5a93b · outbound

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

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Automating automotive software development: A synergy of generative AI and formal methods,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T00:36:44.848375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 313fee3e-2fc4-43c7-b877-eab8ba320424 · outbound

This paper cites MetaGPT: Meta programming for a multi-agent collaborative framework,.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering MetaGPT: Meta programming for a multi-agent collaborative framework,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:36:45.353690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 10012b54-e7b0-43d0-bab5-97c49800780b · outbound

This paper cites SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T00:36:44.855086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95102edf-53fa-42f5-8261-6aea35a04c0d · outbound

This paper cites an unresolved cited work.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-12T00:36:45.343370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b55a1c70-acd0-445f-b009-b18fa07aaacc · outbound

This paper cites an unresolved cited work.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-12T00:36:45.332627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4108761b-4959-4795-926b-5771847ebc5f · outbound

This paper cites Are requirements really all you need? using LLMs to generate configuration code: A case study in automotive simulations,.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Are requirements really all you need? using LLMs to generate configuration code: A case study in automotive simulations,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:36:45.312159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 654f7697-9f8f-4b89-a683-3fe894159747 · outbound

This paper cites MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T00:36:44.873611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b1bec18-0728-43c0-b2a2-2f0c963bf848 · outbound

This paper cites Attention is all you need,.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Attention is all you need,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T00:36:44.877871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 762b0d99-e2a3-4d0c-a1aa-1eb80f8d8af1 · outbound

This paper cites Mining source code repositories at scale: Patterns, structures, and semantics,.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Mining source code repositories at scale: Patterns, structures, and semantics,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:36:45.295354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9ca31cf5-c460-474a-ad02-e8d457c058a5 · outbound

This paper cites Survey of hallucination in natural language generation,.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Survey of hallucination in natural language generation,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T00:36:44.884577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77eb9c05-853a-4ddf-923f-0a33dbcc9b72 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Chain-of-thought prompting elicits reasoning in large language models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:36:45.278786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation abe3f64d-ee56-48ae-9f4d-4af4899164e1 · outbound

This paper cites Self-reflective retrieval- augmented generation,.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Self-reflective retrieval- augmented generation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:36:45.269681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 252343ac-118b-48e2-9355-5df298bf67bc · outbound

This paper cites When Large Language Models Meet Vector Databases: A Survey.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering When Large Language Models Meet Vector Databases: A Survey

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T00:36:44.894219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9778f32d-182c-43d0-8d05-a165f99f6633 · outbound

This paper cites A survey on multi-agent large language models,.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering A survey on multi-agent large language models,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:36:45.258295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fe538109-38eb-4360-8875-16c26e1f2384 · outbound

This paper cites Self-refine: Iterative refinement with self-feedback,.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Self-refine: Iterative refinement with self-feedback,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:36:45.248314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3f40487e-8543-4bd4-a913-aec7d9f19c1d · outbound

This paper cites Judging LLM-as-a-judge with MT- Bench and Chatbot Arena,.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Judging LLM-as-a-judge with MT- Bench and Chatbot Arena,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:36:45.238413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 739d66aa-712a-4669-8c58-457e39d196e9 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T00:36:44.906542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce90bfec-f1ca-45a3-9cd6-0a20404434b4 · outbound

This paper cites Model context protocol: An open standard for connecting AI models to data sources,.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Model context protocol: An open standard for connecting AI models to data sources,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:36:45.228578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 909da476-1f8a-42e7-af6e-4af79d795ec1 · outbound

This paper cites UML consistency checking: A systematic mapping study,.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering UML consistency checking: A systematic mapping study,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:36:45.217393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cb9e8981-a63b-43c0-9d21-e5bde36f5fde · outbound

This paper cites Multi-perspective reasoning for complex tasks using LLM collaboration,.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Multi-perspective reasoning for complex tasks using LLM collaboration,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:36:45.205632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 479d34f5-ecf9-42de-bb36-37f06418c744 · outbound

This paper cites Req2Road: A GenAI pipeline for SDV test artifact generation and on- vehicle execution,.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Req2Road: A GenAI pipeline for SDV test artifact generation and on- vehicle execution,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:36:45.195231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e4fb37cf-8978-45be-bd6e-f96201ce75fb · outbound

This paper cites n8n: Advanced workflow automation tool,.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering n8n: Advanced workflow automation tool,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:36:45.184205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c731c97e-e54f-4422-945e-e39b670a3d5f · outbound

This paper cites Compute and ai infrastructure for the technical university of munich (TUM),.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Compute and ai infrastructure for the technical university of munich (TUM),

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:36:45.172030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4734d927-e7d0-4fac-a382-3da891c7ee53 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Gemini: A Family of Highly Capable Multimodal Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T00:36:44.930558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f99b12fc-7452-4322-b6e1-9f90c6d81032 · outbound

This paper cites GPT-4 Technical Report.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering GPT-4 Technical Report

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T00:36:44.934753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 974a8335-caaa-4b9c-ac4e-2e4a9cd2244d · outbound

This paper cites Kroki: Creates diagrams from textual descriptions,.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Kroki: Creates diagrams from textual descriptions,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:36:45.159744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 73e074c7-6a53-49f4-8ba5-0b1b139a4ea7 · outbound

This paper cites Using Eclipse OpenDuT for distributed automotive testing,.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Using Eclipse OpenDuT for distributed automotive testing,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:36:45.147564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 43cecb1e-3db8-4f83-9304-cc79d2f19070 · outbound

This paper cites LLM-based critique and correction for code generation,.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering LLM-based critique and correction for code generation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:36:45.134519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9533c2cb-28e7-42e2-9248-901e5779ec1f · outbound

This paper cites Available: https://covesa.github.io/vehicle signal specification/.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Available: https://covesa.github.io/vehicle signal specification/

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:36:45.394297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d4fe27e5-6343-44d8-854a-904291a45fd5 · outbound

This paper cites Available: https://www.autosar.org/.

Stateful Multi-Agent LLMs for Cross-View Interface Alignment in Automotive Model-Based Systems Engineering Available: https://www.autosar.org/

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:36:45.322433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.