Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-04T00:54:09.707068Z
Paper Citation Record · LEDGER
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study
As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.01244.
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 2026-08-10T06:31:04.303077+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
28 of 28 outbound references displayed
- verified exact0
- verified fuzzy25
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0937092d-153c-4ce3-9286-b213a9988137 · outbound
This paper cites European rail traffic management system - an overview.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study European rail traffic management system - an overview
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.470732Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4e299ce6-edbe-470f-8857-aad4d37b3e2f · outbound
This paper cites Council regulation (EU) no 1907/2006, 2006.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study Council regulation (EU) no 1907/2006, 2006
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.520119Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fef98228-5953-487d-8fe7-62c4a3221735 · outbound
This paper cites Council regulation (EU) no 797/2016, 2016.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study Council regulation (EU) no 797/2016, 2016
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.465636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2bcaf589-37a3-44b8-8aaa-6718347f7638 · outbound
This paper cites Council regulation (EU) no 258/2025, 2025.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study Council regulation (EU) no 258/2025, 2025
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.468637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 69ee2422-3cbd-4386-8593-220a3edd51bb · outbound
This paper cites The faiss library.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study The faiss library
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.463826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 74d27415-f500-40e2-af82-c15f1085002f · outbound
This paper cites an unresolved cited work.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-07-04T22:50:11.514266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b5e7f3bb-0640-4e9d-b93e-f7acbda4f310 · outbound
This paper cites Retrieval-augmented generation for large language models: A survey.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study Retrieval-augmented generation for large language models: A survey
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.515260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8870b5a3-1334-4a84-ad95-20a9ae75ebcf · outbound
This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.522277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 302840ad-43c6-47f5-b06a-cba3569bdca1 · outbound
This paper cites Tabular embedding model (tem): Finetuning embedding models for tabular rag applications.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study Tabular embedding model (tem): Finetuning embedding models for tabular rag applications
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.521564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2199ea11-9f1e-4d7d-bda5-7a1df5f73b84 · outbound
This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study Retrieval-augmented generation for knowledge-intensive nlp tasks
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.510955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3a9b4862-3e33-4ea3-8fa1-2292d2aca0dd · outbound
This paper cites Evaluating quantized large language models.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study Evaluating quantized large language models
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.519700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8349eb6b-1b8b-4503-a54c-dbdf6aceff49 · outbound
This paper cites ROUGE: A package for automatic evaluation of summaries.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study ROUGE: A package for automatic evaluation of summaries
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.510233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e04d8fcd-11c0-40b7-a959-eee9fdfd3d99 · outbound
This paper cites Fingpt: Democratizing internet-scale data for financial large language models.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study Fingpt: Democratizing internet-scale data for financial large language models
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.512300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cccda8e3-51c7-4ddc-b52a-76fd1fc18b29 · outbound
This paper cites Adapt in contexts: Retrieval-augmented domain adaptation via in- context learning.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study Adapt in contexts: Retrieval-augmented domain adaptation via in- context learning
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.524551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0558b245-9ec5-48e3-a88f-80f885a0050c · outbound
This paper cites The european medical device regulation–what biomedical engineers need to know.IEEE Journal of Translational Engineering in Health and Medicine, 10:1–5, 2022.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study The european medical device regulation–what biomedical engineers need to know.IEEE Journal of Translational Engineering in Health and Medicine, 10:1–5, 2022
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.508814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7799e4fa-4937-45f4-9419-1aad7d15a3d2 · outbound
This paper cites an unresolved cited work.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-07-04T22:50:11.492301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a40fedd8-b8c0-4adb-9247-cb15118600ea · outbound
This paper cites The probabilistic relevance framework: Bm25 and beyond.Found.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study The probabilistic relevance framework: Bm25 and beyond.Found
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.499786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a16658be-f0f6-434b-a964-8e28efdd7428 · outbound
This paper cites Mpnet: Masked and permuted pre-training for language understanding.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study Mpnet: Masked and permuted pre-training for language understanding
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.490466Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0b91d7dc-7df7-4a8a-9bfe-d00fa89f9bae · outbound
This paper cites Should rag chatbots forget unimportant conversations? exploring importance and forgetting with psychological insights.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study Should rag chatbots forget unimportant conversations? exploring importance and forgetting with psychological insights
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.494289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e3afb350-e4e2-46d9-8e4e-b0711aee440c · outbound
This paper cites an unresolved cited work.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-07-04T22:50:11.488242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ab155e62-ea26-4b77-8e90-f8d554d76919 · outbound
This paper cites All languages matter: On the multilingual safety of LLMs.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study All languages matter: On the multilingual safety of LLMs
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.480914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6cdd99e7-e2de-4008-b62a-08b562c56484 · outbound
This paper cites Chi, Quoc V.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study Chi, Quoc V
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.484090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0b32382b-95f8-4576-adcb-34e026c5bf32 · outbound
This paper cites Continual learning for large language models: A survey.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study Continual learning for large language models: A survey
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.488459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 849b7d4b-2360-4e71-ac1b-4c7ab87640d7 · outbound
This paper cites Improving retrieval- augmented generation in medicine with iterative follow-up questions.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study Improving retrieval- augmented generation in medicine with iterative follow-up questions
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.497575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e51c0507-cb0c-4f06-a273-aba6e68864f9 · outbound
This paper cites Hallucination is inevitable: An innate limitation of large language models.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study Hallucination is inevitable: An innate limitation of large language models
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.517936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8f36e5f8-90ab-4591-a866-bedc0b0969f5 · outbound
This paper cites Infinite retrieval: Attention enhanced llms in long-context processing.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study Infinite retrieval: Attention enhanced llms in long-context processing
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.478487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 57d9fbc7-2f49-4749-8d16-29c05fac12c3 · outbound
This paper cites Towards knowledge checking in retrieval-augmented generation: A representation perspective.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study Towards knowledge checking in retrieval-augmented generation: A representation perspective
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.486162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9c871974-9df4-4a92-aec8-44292b7d5003 · outbound
This paper cites RAFT: Adapting language model to domain specific RAG.
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study RAFT: Adapting language model to domain specific RAG
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-04T22:50:11.506443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
No inbound Pith citation observations are available.