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Paper Citation Record · LEDGER

Development of Automated Software Design Document Review Methods Using Large Language Models

As of 9 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2509.09975.

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

pith.paper-citation-record.v1
2509.09975 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:26:17.846792Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

34 of 34 outbound references displayed

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Outbound references

Observation 01a6b2ba-83ea-41a8-bbf5-11aeea24d325 · outbound

This paper cites In NeurIPS (2017).

Development of Automated Software Design Document Review Methods Using Large Language Models In NeurIPS (2017)

Reference 1

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Observation 02a14669-fa52-4d5c-93af-e76f719bcaa9 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Development of Automated Software Design Document Review Methods Using Large Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2

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Observation 9a06c0e9-eec7-4c1b-a016-9258150eeb4a · outbound

This paper cites Language models are few-shot learners.

Development of Automated Software Design Document Review Methods Using Large Language Models Language models are few-shot learners

Reference 3

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Observation fe965703-502e-432f-b53d-cbb9f3f53e48 · outbound

This paper cites Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models.

Development of Automated Software Design Document Review Methods Using Large Language Models Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models

Reference 4

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Observation b8474f30-417d-4202-a978-fd42c4f194c7 · outbound

This paper cites Using LLMs in Software Requirements Specifications: An Empirical Evaluation.

Development of Automated Software Design Document Review Methods Using Large Language Models Using LLMs in Software Requirements Specifications: An Empirical Evaluation

Reference 5

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Observation e45cac26-3fc9-455a-999b-e69ee8f28b2b · outbound

This paper cites A Comparative Analysis of Large Language Models for Code Documentation Generation.

Development of Automated Software Design Document Review Methods Using Large Language Models A Comparative Analysis of Large Language Models for Code Documentation Generation

Reference 6

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Observation 61a0e55e-bd43-4f63-a190-bd78b902a6e9 · outbound

This paper cites The 37th Annual Conference of the Japanese Society for Artificial Intelligence (2023).

Development of Automated Software Design Document Review Methods Using Large Language Models The 37th Annual Conference of the Japanese Society for Artificial Intelligence (2023)

Reference 7

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Observation 4b4742e0-ade8-4f6a-a997-98fa7e4b6dc9 · outbound

This paper cites and Wilson, G., eds.).

Development of Automated Software Design Document Review Methods Using Large Language Models and Wilson, G., eds.)

Reference 8

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Observation 9864cdd5-b13a-4366-b033-0949cb0509f0 · outbound

This paper cites Journal of Information Processing, vol.

Development of Automated Software Design Document Review Methods Using Large Language Models Journal of Information Processing, vol

Reference 9

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Observation 37e94124-52fb-42d9-8474-aba5a6d486b4 · outbound

This paper cites ProMAC 2013 (2013).

Development of Automated Software Design Document Review Methods Using Large Language Models ProMAC 2013 (2013)

Reference 10

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Observation 8546b1c3-afbb-4430-96d1-af8769255e11 · outbound

This paper cites Joint Study.

Development of Automated Software Design Document Review Methods Using Large Language Models Joint Study

Reference 11

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Observation 98658bc1-3a30-4ac6-b362-289f8c81e495 · outbound

This paper cites 1028–2008 IEEE standard for software reviews and audits.

Development of Automated Software Design Document Review Methods Using Large Language Models 1028–2008 IEEE standard for software reviews and audits

Reference 12

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Observation 8a83b09a-3f12-4415-98dc-7b6cb3785324 · outbound

This paper cites an unresolved cited work.

Development of Automated Software Design Document Review Methods Using Large Language Models Unresolved cited work

Reference 13

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Observation 750b99af-fb8e-417f-b9fd-1334fbff62a3 · outbound

This paper cites IEEE Transactions on Software Engineering, 22(12):866-874 (1996).

Development of Automated Software Design Document Review Methods Using Large Language Models IEEE Transactions on Software Engineering, 22(12):866-874 (1996)

Reference 14

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Observation 7195fe63-534a-4d39-9f4f-e2ef6055fb57 · outbound

This paper cites Basili, Evolving And Packaging Reading Technologies.

Development of Automated Software Design Document Review Methods Using Large Language Models Basili, Evolving And Packaging Reading Technologies

Reference 15

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Observation 7e27745e-8c82-47a2-be16-1ba00ef53074 · outbound

This paper cites Large Language Models for Software Engineering: A Systematic Literature Review.

Development of Automated Software Design Document Review Methods Using Large Language Models Large Language Models for Software Engineering: A Systematic Literature Review

Reference 16

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Observation d12a2e50-ed25-47a6-a669-022578bc5046 · outbound

This paper cites Automated Software Engineering, 30.1: 13, (2023).

Development of Automated Software Design Document Review Methods Using Large Language Models Automated Software Engineering, 30.1: 13, (2023)

Reference 17

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Observation 4a625b2d-ad4f-4aa4-affe-2aad8c468267 · outbound

This paper cites Large Language Models Based Automatic Synthesis of Software Specifications.

Development of Automated Software Design Document Review Methods Using Large Language Models Large Language Models Based Automatic Synthesis of Software Specifications

Reference 18

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Observation 71630dbf-848f-47f6-8200-3717dc8a93e7 · outbound

This paper cites ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Design.

Development of Automated Software Design Document Review Methods Using Large Language Models ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Design

Reference 19

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Observation 8f841de9-815f-4ee0-83d0-e213ca957ed7 · outbound

This paper cites Large Language Models for Software Engineering: Survey and Open Problems.

Development of Automated Software Design Document Review Methods Using Large Language Models Large Language Models for Software Engineering: Survey and Open Problems

Reference 20

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Observation 83ebb6fa-f7a7-44c9-a118-35c5d04f18a6 · outbound

This paper cites On the assessment of generative AI in modeling tasks: an experience report with ChatGPT and UML.

Development of Automated Software Design Document Review Methods Using Large Language Models On the assessment of generative AI in modeling tasks: an experience report with ChatGPT and UML

Reference 21

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Observation 33651664-4c36-4e23-ac58-e86319635985 · outbound

This paper cites Software Engineering Symposium 2023 (SES2023), 238-239, (2023).

Development of Automated Software Design Document Review Methods Using Large Language Models Software Engineering Symposium 2023 (SES2023), 238-239, (2023)

Reference 22

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Observation 9772782e-f764-4748-bb11-799eacfe1f41 · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

Development of Automated Software Design Document Review Methods Using Large Language Models MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 23

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Observation 2b174c1a-8507-4fcc-85ff-bd603584bc73 · outbound

This paper cites How LLMs Aid in UML Modeling: An Exploratory Study with Novice Analysts.

Development of Automated Software Design Document Review Methods Using Large Language Models How LLMs Aid in UML Modeling: An Exploratory Study with Novice Analysts

Reference 24

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Observation fb6b166c-9fde-4776-acbe-0d972e69dba4 · outbound

This paper cites Assessing GPT-4-Vision's Capabilities in UML-Based Code Generation.

Development of Automated Software Design Document Review Methods Using Large Language Models Assessing GPT-4-Vision's Capabilities in UML-Based Code Generation

Reference 25

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Observation 269f5dfe-ba87-48a4-931b-027a5a1768dc · outbound

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Development of Automated Software Design Document Review Methods Using Large Language Models Unresolved cited work

Reference 26

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Observation 9fc4aefb-2c4f-4a28-896a-08b66dad347d · outbound

This paper cites Liang, Chenyang Yang, Brad A.

Development of Automated Software Design Document Review Methods Using Large Language Models Liang, Chenyang Yang, Brad A

Reference 27

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Observation 6d2b1eb9-866f-4438-99e1-09f36c75f382 · outbound

This paper cites Proceedings of the 2002 International Symposium on Empirical Soft- ware Engineering, IEEE Computer Society, (2002).

Development of Automated Software Design Document Review Methods Using Large Language Models Proceedings of the 2002 International Symposium on Empirical Soft- ware Engineering, IEEE Computer Society, (2002)

Reference 28

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Observation fe1c4880-f940-42f7-bd6f-946919495772 · outbound

This paper cites Fujitsu Journal, 63.2, 193-199 (2012).

Development of Automated Software Design Document Review Methods Using Large Language Models Fujitsu Journal, 63.2, 193-199 (2012)

Reference 29

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Observation 611da891-4c65-469c-bb25-ebe46b3792f6 · outbound

This paper cites The Proceedings of Design and Systems Conference (2014).

Development of Automated Software Design Document Review Methods Using Large Language Models The Proceedings of Design and Systems Conference (2014)

Reference 30

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Observation d02229e9-c7f8-4a9e-9b42-04589fcaab6f · outbound

This paper cites Large Language Models are few(1)-shot Table Reasoners.

Development of Automated Software Design Document Review Methods Using Large Language Models Large Language Models are few(1)-shot Table Reasoners

Reference 31

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Observation e7c3bb88-21ad-42be-8e80-c6a3a1f6eb64 · outbound

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Development of Automated Software Design Document Review Methods Using Large Language Models Grappa: Grammar-augmented pre-training for table semantic parsing

Reference 32

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Observation 1b78115c-590e-4ebc-85cd-ca366d43298b · outbound

This paper cites In Advances in Neural Information Processing Systems (2022).

Development of Automated Software Design Document Review Methods Using Large Language Models In Advances in Neural Information Processing Systems (2022)

Reference 33

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Observation db7be4d1-2f45-4531-be87-79262983afc9 · outbound

This paper cites an unresolved cited work.

Development of Automated Software Design Document Review Methods Using Large Language Models Unresolved cited work

Reference 34

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Pith citing papers

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