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Paper Citation Record · LEDGER

Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study

As of 24 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.

pith.paper-citation-record.v1
2607.01244 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-04T00:54:09.707068Z

measured 28 of 28 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 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

28 of 28 outbound references displayed

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  • verified fuzzy25
  • unresolved3
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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
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Source-reported events for the cited work

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

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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
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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.

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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
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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.

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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
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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.

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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

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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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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
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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.

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

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

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

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

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Pith citing papers

No inbound Pith citation observations are available.