Paper Citation Record · LEDGER

LLMREI: Automating Requirements Elicitation Interviews with LLMs

As of 9 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2507.02564.

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

pith.paper-citation-record.v1
2507.02564 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:29:39.349442Z

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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:09:37.334532Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

33 of 33 outbound references displayed

verified exact0
verified fuzzy28
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation cf8049f1-1aad-4725-a198-f8c0a61d4ea0 · outbound

This paper cites The role of requirement engineering in software development life cycle,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs The role of requirement engineering in software development life cycle,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:44.394179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 96469715-8cb2-4fd8-b414-ecc9ef5a8ff1 · outbound

This paper cites Requirements elicitation: A survey of tech- niques, approaches, and tools,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Requirements elicitation: A survey of tech- niques, approaches, and tools,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:44.080950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b33e2ba9-22b6-4294-aa4e-587bcedb2ebc · outbound

This paper cites Requirements elicitation tech- niques: a systematic literature review based on the maturity of the techniques,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Requirements elicitation tech- niques: a systematic literature review based on the maturity of the techniques,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:43.737344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 50ef49d0-e903-4607-9371-92509e768ad2 · outbound

This paper cites Ambiguity and tacit knowledge in requirements elicitation interviews,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Ambiguity and tacit knowledge in requirements elicitation interviews,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:43.486655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1b9a6f91-eeff-4faa-9344-3b239ec0e8d2 · outbound

This paper cites On cognitive biases in re- quirements elicitation,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs On cognitive biases in re- quirements elicitation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:43.307058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 00d1ca35-08fb-44d0-af0c-a5dae3a710fa · outbound

This paper cites Automatic requirements en- gineering model using goal-oriented modelling with text pre-processing technique,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Automatic requirements en- gineering model using goal-oriented modelling with text pre-processing technique,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:43.216071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2c48bbd9-081a-444d-bcf6-219021889d81 · outbound

This paper cites Artificial intelligence in software requirements engineering: State-of-the-art,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Artificial intelligence in software requirements engineering: State-of-the-art,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:43.080493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c7ab3b9b-2495-4c63-b670-26915984ae7f · outbound

This paper cites A Survey of Large Language Models.

LLMREI: Automating Requirements Elicitation Interviews with LLMs A Survey of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:37.153861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b061196d-a3ec-488c-aaaa-261ad080fb2a · outbound

This paper cites Using large language models for natural language processing tasks in requirements engineering: A systematic guideline,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Using large language models for natural language processing tasks in requirements engineering: A systematic guideline,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:42.937065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b8448c96-735d-415b-916b-9f8ed8834525 · outbound

This paper cites Advancing requirements engineering through generative AI: Assessing the role of LLMs,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Advancing requirements engineering through generative AI: Assessing the role of LLMs,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:42.800061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f2ee78f3-d879-4af7-a2d8-36602eecb898 · outbound

This paper cites Use of expert system in requirements engineering process: A systematic literature review,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Use of expert system in requirements engineering process: A systematic literature review,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:42.660127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation be7601a7-1518-4a6a-ac06-d40a35582502 · outbound

This paper cites Domain specialization as the key to make large language models disruptive: A comprehensive survey,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Domain specialization as the key to make large language models disruptive: A comprehensive survey,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:42.506558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c44ca7f7-09d3-41d2-b493-6dd3fea6024f · outbound

This paper cites Issues in requirements elicitation,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Issues in requirements elicitation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:42.379292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation efc20e09-7158-49a2-a736-9ec4dad5fdeb · outbound

This paper cites Requirements elicitation: Issues and chal- lenges,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Requirements elicitation: Issues and chal- lenges,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:42.260572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7e386c8c-eb9f-4d38-9865-43f2def5139b · outbound

This paper cites The role of domain knowledge in requirements elicitation via interviews: an exploratory study,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs The role of domain knowledge in requirements elicitation via interviews: an exploratory study,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:42.115652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a44897c3-b81a-4546-97e6-10f6427e5082 · outbound

This paper cites Attention is all you need,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Attention is all you need,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:38.131720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b918e749-73bd-43f7-9fe1-e89e45ac8183 · outbound

This paper cites Large language models for software engi- neering: A systematic literature review,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Large language models for software engi- neering: A systematic literature review,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:38.185111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44e9e10c-82a2-4447-9518-4587266f1cc3 · outbound

This paper cites Large language models for software engineering: Survey and open problems,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Large language models for software engineering: Survey and open problems,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:41.954248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 99dadbf0-bc44-4f1b-9dbf-b1e02bb7cec6 · outbound

This paper cites A transformer-based approach for abstractive summarization of requirements from obligations in software engineering contracts,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs A transformer-based approach for abstractive summarization of requirements from obligations in software engineering contracts,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:41.816173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 042baad8-6dd9-4f7d-b768-8408bcd75af2 · outbound

This paper cites Prompts matter: Insights and strategies for prompt engineering in automated soft- ware traceability,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Prompts matter: Insights and strategies for prompt engineering in automated soft- ware traceability,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:41.703032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bd9eca42-2ba9-4497-bb67-816f53d32a87 · outbound

This paper cites On the impact of requirements smells in prompts: The case of automated traceability,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs On the impact of requirements smells in prompts: The case of automated traceability,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:41.582550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2c855afd-a210-4573-9166-f2b6cccb2368 · outbound

This paper cites Zadenoori, L.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Zadenoori, L

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:41.312057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8e1940e4-a7f2-4b19-b510-7733c1910481 · outbound

This paper cites Model generation with llms: From requirements to UML sequence diagrams,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Model generation with llms: From requirements to UML sequence diagrams,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:41.054316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation acd0be17-60f8-43b8-aecb-729c07174a8a · outbound

This paper cites Least-to- most prompting enables complex reasoning in large language models,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Least-to- most prompting enables complex reasoning in large language models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:40.866551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 663b572b-2e9a-4002-b01a-ca3ece3fb6e2 · outbound

This paper cites Teaching requirements elicitation interviews: an empirical study of learning from mistakes,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Teaching requirements elicitation interviews: an empirical study of learning from mistakes,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:40.711470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0c32f594-dbc9-426d-9f07-6df0264f7a95 · outbound

This paper cites SaPeer and Revers- eSaPeer: teaching requirements elicitation interviews with role-playing and role reversal,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs SaPeer and Revers- eSaPeer: teaching requirements elicitation interviews with role-playing and role reversal,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:40.557807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7d1c1858-ca72-4894-ab4b-eb3bdc98128c · outbound

This paper cites Learning requirements elicitation interviews with role-playing, self-assessment and peer-review,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Learning requirements elicitation interviews with role-playing, self-assessment and peer-review,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:40.369258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 23a244b3-67fa-41de-b9fa-9884f5c2c520 · outbound

This paper cites Whisperx: Time-accurate speech transcription of long-form audio,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Whisperx: Time-accurate speech transcription of long-form audio,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:40.214111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e1a113a6-2879-4721-afa5-b3e2a45a4138 · outbound

This paper cites Robust speech recognition via large-scale weak super- vision,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Robust speech recognition via large-scale weak super- vision,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:40.061296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 76d6b835-3aa0-4ebb-8761-b1c2deb6aa5a · outbound

This paper cites Preparing your dataset.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Preparing your dataset

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:39.823164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8fcbf771-1e01-4f06-9727-d6e09b27d0f4 · outbound

This paper cites Intelligent chatbot for requirements elicitation and classification,.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Intelligent chatbot for requirements elicitation and classification,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:29:39.622524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 49697428-1cc6-4a5d-80d5-3fb888941cc8 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:38.728879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb67bebb-139d-4d2f-8ac2-c97d3d20b2a9 · outbound

This paper cites Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey.

LLMREI: Automating Requirements Elicitation Interviews with LLMs Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:37.603927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c48a1225-3cbc-45fe-8d6d-34464fa77759 · inbound

Automated Alignment between Elicitation Interviews and Requirements cites this paper.

Automated Alignment between Elicitation Interviews and Requirements LLMREI: Automating Requirements Elicitation Interviews with LLMs

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-04T11:13:34.349842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.