Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:29.505294Z
Paper Citation Record · LEDGER
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps
As of 17 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2505.18426.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
53 of 53 outbound references displayed
- verified exact4
- verified fuzzy24
- unresolved23
- parse uncertain0
- malformed identifier2
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1b1051fc-882d-47ce-b81f-e918b3200596 · outbound
This paper cites an unresolved cited work.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:34:32.144965Z
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 720dafe1-d955-4430-a7b7-aeaf95e447b8 · outbound
This paper cites an unresolved cited work.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:34:32.136456Z
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 1c5ff4a6-ecc5-4a64-b6ca-bc108c11f1ce · outbound
This paper cites We explore how generative models have evolved, the nature and taxonomy of hallucinations, and the approaches taken to detect and mitigate them.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps We explore how generative models have evolved, the nature and taxonomy of hallucinations, and the approaches taken to detect and mitigate them
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:34:32.128451Z
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 eed21021-cace-4ded-9aa3-61ad738438ed · outbound
This paper cites To mitigate these complexities, context -augmented LLMs offer a practical solution.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps To mitigate these complexities, context -augmented LLMs offer a practical solution
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:34:32.121056Z
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 e836acd5-8cf0-4cd9-8652-b3a232c41219 · outbound
This paper cites Alabama" and the state of.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Alabama" and the state of
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:34:32.113253Z
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 93250a35-0e73-489e-99cf-9533289c70fc · outbound
This paper cites statutes and legislation.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps statutes and legislation
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:34:32.105380Z
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 f5e9da3a-75ea-4234-b52e-ddc15dcb23e2 · outbound
This paper cites Figure 9 showcases a sample output 4 produced by our RAG-powered GPT architecture.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Figure 9 showcases a sample output 4 produced by our RAG-powered GPT architecture
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:34:32.097121Z
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 cfcc8a9e-d347-4a82-8630-b81a27b03706 · outbound
This paper cites This limitation is 29 significant, as inaccurate outputs can misidentify legislative gaps and complicate the work of legal 30 and policy stakeholders.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps This limitation is 29 significant, as inaccurate outputs can misidentify legislative gaps and complicate the work of legal 30 and policy stakeholders
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:34:32.014416Z
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 b4d67730-6519-4eab-a9b0-39f140905fd3 · outbound
This paper cites Definitions.pdf (14) Identification document.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Definitions.pdf (14) Identification document
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:34:32.056431Z
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 f38ff92f-b2d6-44b4-841e-f04f9d55834b · outbound
This paper cites an unresolved cited work.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:34:32.047942Z
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 2fffcf5e-6931-429f-85f6-bb929fcebc78 · outbound
This paper cites § 13A-8-111:.
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:34:32.089189Z
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 413bb801-2cff-4ad7-b29e-49d9b608707f · outbound
This paper cites an unresolved cited work.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:34:32.081074Z
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 c995b57b-da0c-4d98-86b9-296afd30d72f · outbound
This paper cites Definitions.pdf.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Definitions.pdf
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:34:32.072933Z
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 55155efc-b1bc-4878-8cdd-1ec0ba3a362b · outbound
This paper cites an unresolved cited work.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:34:32.064567Z
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 10e18f1a-f790-4ce6-8de8-8d186f716495 · outbound
This paper cites identification document.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps identification document
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:34:32.039727Z
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 6dbc4d8f-5e0f-464a-b65c-b169d3ff96e4 · outbound
This paper cites The comparison focuses on the 4 factual accuracy of the responses produced by each model.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps The comparison focuses on the 4 factual accuracy of the responses produced by each model
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:34:32.031497Z
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 3fbfe7e0-23aa-40f5-9967-9bd1f0731950 · outbound
This paper cites an unresolved cited work.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:34:31.902549Z
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 082d14c4-623b-458f-8b2c-d76888e15b2d · outbound
This paper cites These methods can scrutinize both questions and outputs for adherence to 25 standards.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps These methods can scrutinize both questions and outputs for adherence to 25 standards
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:34:32.006785Z
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 939d54f2-5a05-4e46-97d6-7b432cdf6377 · outbound
This paper cites Department of Transportation National University 29 Transportation Center) headquartered at Clemson University, Clemson, South Carolina, USA.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Department of Transportation National University 29 Transportation Center) headquartered at Clemson University, Clemson, South Carolina, USA
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:34:31.999357Z
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 84ded7cb-a169-4a42-b957-13e74cfd1169 · outbound
This paper cites All authors reviewed the results 42 and approved the final version of the manuscript.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps All authors reviewed the results 42 and approved the final version of the manuscript
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:34:31.991343Z
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 3c44179b-c632-4717-9d42-6c90674abd68 · outbound
This paper cites an unresolved cited work.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:34:31.983768Z
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 7be8a8a0-652e-4002-a054-934a01210ce9 · outbound
This paper cites an unresolved cited work.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Unresolved cited work
Reference 26
- Resolution
- verified exact
- doi, observed 2026-08-07T14:34:29.991465Z
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 1f7560e2-7dc4-4286-8ba8-4257b8775ac2 · outbound
This paper cites an unresolved cited work.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Unresolved cited work
Reference 27
- Resolution
- verified exact
- doi, observed 2026-08-07T14:34:29.758636Z
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 c69adb22-12fa-4ef8-a505-aa16c418343a · outbound
This paper cites Moss, eds.
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:34:31.975963Z
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 03e7a4e3-6bb5-4f5a-bba9-1edc61a06b58 · outbound
This paper cites Transforming Legal Aid with AI: Training LLMs to Ask Better Questions for Legal Intake.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Transforming Legal Aid with AI: Training LLMs to Ask Better Questions for Legal Intake
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:34:31.967582Z
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 d47e1afa-dbd0-4900-adf2-17bbab134d6a · outbound
This paper cites How LLM’s Are A Game Changer In Legal Research.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps How LLM’s Are A Game Changer In Legal Research
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:34:31.958969Z
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 5ebed13f-61c6-40e6-8908-9922de840af9 · outbound
This paper cites an unresolved cited work.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:34:31.951090Z
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 1d715de9-950a-4186-844a-60045ea07d5a · outbound
This paper cites an unresolved cited work.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:34:31.942495Z
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 8afc321e-96c1-4aaa-a4c2-6473af442117 · outbound
This paper cites an unresolved cited work.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:34:31.934883Z
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 5c13b6eb-8f60-420f-82be-a07ef2261ddf · outbound
This paper cites On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:34:30.496446Z
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 ef1066c5-0362-41ec-986a-dd8f8f1a25de · outbound
This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:34:27.538073Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34e7cdf0-16c0-40fb-9de9-2490adc6ea39 · outbound
This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:34:27.702729Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0cfd2e23-94ad-43d8-9ffb-806d6e930a1e · outbound
This paper cites On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:34:27.804907Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ecf5a247-8d8f-46e1-97c4-0ed839637723 · outbound
This paper cites an unresolved cited work.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Unresolved cited work
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:34:27.878448Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6fd7cd10-f991-425b-8afd-3be8972611d1 · outbound
This paper cites A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:34:30.208104Z
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 d5011949-8a95-4f9a-ac8f-0c68016928a9 · outbound
This paper cites Enabling Large Language Models to Generate Text with Citations.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Enabling Large Language Models to Generate Text with Citations
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:34:28.026754Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d59132a-5816-4d84-a0c4-b17de8d96541 · outbound
This paper cites Hallucinating Law: Legal Mistakes with Large Language Models Are Pervasive.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Hallucinating Law: Legal Mistakes with Large Language Models Are Pervasive
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:34:31.927118Z
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 f1fd2429-3168-49c3-a4a3-2e81143b3442 · outbound
This paper cites an unresolved cited work.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Unresolved cited work
Reference 42
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:34:31.917995Z
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 481cc88c-e95a-4268-9385-bea4f8b13c88 · outbound
This paper cites RAFT: Adapting Language Model to Domain Specific RAG.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps RAFT: Adapting Language Model to Domain Specific RAG
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:34:28.297477Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6d204cf-97f1-4388-8bd8-0c30c2d66ece · outbound
This paper cites LlamaIndex.
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:34:31.910539Z
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 5cb95806-dc2c-476d-b1e5-b2ed39ecc3af · outbound
This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:34:28.548212Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e968a917-7edf-4234-85bc-65d991550fa9 · outbound
This paper cites an unresolved cited work.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:34:31.894934Z
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 63cc7ccc-82a1-437a-95d9-85d787fc5873 · outbound
This paper cites (2024, July 26).
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps (2024, July 26)
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:34:31.887298Z
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 760bdeb2-422a-478c-9967-58cd58241109 · outbound
This paper cites (2024, May 7).
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps (2024, May 7)
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:34:31.879559Z
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 94213522-537f-4456-9cc9-570a06a80ad2 · outbound
This paper cites (2024, July 23).
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps (2024, July 23)
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:34:31.794525Z
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 2688b8d7-16ae-41be-b92b-c0761967c650 · outbound
This paper cites an unresolved cited work.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Unresolved cited work
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:34:28.930150Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a3b1808-f045-47fc-b1e6-38b9a80049fa · outbound
This paper cites an unresolved cited work.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Unresolved cited work
Reference 52
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-07T14:34:28.963597Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 223cae72-b661-4e2d-af28-6081ddfee0ee · outbound
This paper cites Q., & Artzi, Y.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Q., & Artzi, Y
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:34:31.602422Z
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 21f933a7-1293-47ca-bf23-21ff3c59ae64 · outbound
This paper cites an unresolved cited work.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Unresolved cited work
Reference 54
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:34:31.403689Z
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 6795d1c0-9006-47de-ab43-d5298afd89d9 · outbound
This paper cites OpenAI Platform.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps OpenAI Platform
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:34:31.247689Z
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 d1e78430-3c95-43c5-81aa-595c8462e4e8 · outbound
This paper cites an unresolved cited work.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Unresolved cited work
Reference 56
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:34:31.016954Z
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 6316082b-2964-493a-bbf9-a44608f7f290 · outbound
This paper cites an unresolved cited work.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps Unresolved cited work
Reference 57
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:34:30.736922Z
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 75f71623-bdc1-4135-9a98-41a54b12aa0a · outbound
This paper cites What 37 are the maximum penalties for failing to follow the data breach notification statutes in Ohio and 38 Oklahoma?.
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps What 37 are the maximum penalties for failing to follow the data breach notification statutes in Ohio and 38 Oklahoma?
Reference 2023
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-07T14:34:32.023347Z
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.
Pith citing papers
No inbound Pith citation observations are available.