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Paper Citation Record · LEDGER

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report

As of 15 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2607.14452.

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

pith.paper-citation-record.v1
2607.14452 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:06:44.343297Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

38 of 38 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5bc4e4f4-adb9-47f4-af44-b74eee74a02c · outbound

This paper cites Mendon c a, and Julio C \' e sar Sampaio P.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Mendon c a, and Julio C \' e sar Sampaio P

Reference 1

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source=arxiv_source observed=2026-08-02T02:06:40.530568Z digest=sha256:c3984241924cc851de10dd4ced23d83496a48129dc75b628780daee87fa28eff

Observation a3f7678e-da5c-4677-baf6-a8522736a731 · outbound

This paper cites Basili, Gianluigi Caldiera, and H.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Basili, Gianluigi Caldiera, and H

Reference 2

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source=arxiv_source observed=2026-08-02T02:06:40.605017Z digest=sha256:58ec288eb26b365fb8192dd59d42eb2744f06f20a1d1eb0a2f856b5adad2bf75

Observation f111e272-b868-4d3a-af74-cbee8c3ffd42 · outbound

This paper cites Brown et al.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Brown et al

Reference 3

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source=arxiv_source observed=2026-08-02T02:06:40.684272Z digest=sha256:21bff3d0afe8862afcd1a64c70bb36e5a0cf1f2550fa3a4dd2f340ecd86838f9

Observation 364895d0-58d2-4c6a-83a9-daab4245bb59 · outbound

This paper cites Conducting qualitative interviews with AI.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Conducting qualitative interviews with AI

Reference 4

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source=arxiv_source observed=2026-08-02T02:06:40.755745Z digest=sha256:ca554655911d7a47d9c1de9ddf2e65084e07b937ae88d52d27f5263c9916c14a

Observation 1b3e7e08-5d4e-4fb4-b344-c856dd5ebe40 · outbound

This paper cites Towards LLM -augmented multiagent systems for agile software engineering.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Towards LLM -augmented multiagent systems for agile software engineering

Reference 5

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source=arxiv_source observed=2026-08-02T02:06:40.824783Z digest=sha256:6621c7d2ac71b2aea152dbe435cd16fd55f184b8200cfb32710e0701a30568f1

Observation 42e7230a-096b-4149-83d9-ed388d014202 · outbound

This paper cites Automated testing of refactoring engines.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Automated testing of refactoring engines

Reference 6

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source=arxiv_source observed=2026-08-02T02:06:40.927309Z digest=sha256:59be0a3007deb32bda47b361d472e91fb6aa9eaf41671040e2687d22fea5368e

Observation 2f03463b-e478-4d58-b182-872d669ed61d · outbound

This paper cites Refactoring: improving the design of existing code.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Refactoring: improving the design of existing code

Reference 7

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source=arxiv_source observed=2026-08-02T02:06:41.020529Z digest=sha256:c92fe2a04d88e9a9f795cc8205f0dea49a1bd83e2a386d6059eca2cc1bc17d02

Observation 833ae28e-8165-4ddc-a68f-b1e3633e89d8 · outbound

This paper cites Can AI serve as a substitute for human subjects in software engineering research? Automated Software Engineering , 31(1):13, 2024.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Can AI serve as a substitute for human subjects in software engineering research? Automated Software Engineering , 31(1):13, 2024

Reference 8

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source=arxiv_source observed=2026-08-02T02:06:41.104033Z digest=sha256:e6485fbd14fc87a85443af1ce975e933efa91b802d068672a15ba0fb77a47d4c

Observation 90850726-5ea4-49a3-8794-ff02bb481f59 · outbound

This paper cites AI-Conducted Interviews in Empirical Software Engineering: An Experience Report.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report AI-Conducted Interviews in Empirical Software Engineering: An Experience Report

Reference 9

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doi, observed 2026-08-02T02:08:25.605657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-02T02:06:41.175336Z digest=sha256:07473937a81ec81288fdb97133c6978d64be5aec7a6c400e090cfc9d211a6508

Observation b832e806-33d0-4587-b5eb-7b6225dcf1f6 · outbound

This paper cites One thousand and one stories: a large-scale survey of software refactoring.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report One thousand and one stories: a large-scale survey of software refactoring

Reference 10

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source=arxiv_source observed=2026-08-02T02:06:41.234875Z digest=sha256:24e5c58995f2d8e2b74b98a4a17570e88afee212527bc95be8dcaa838a27d196

Observation a09595b7-5217-44f6-8319-6cbe2ebcecfd · outbound

This paper cites Experiences from conducting semi-structured interviews in empirical software engineering research.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Experiences from conducting semi-structured interviews in empirical software engineering research

Reference 11

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source=arxiv_source observed=2026-08-02T02:06:41.305112Z digest=sha256:6d9c95a53e27555e5e5261915a1bd6c00173314c464685bbe74ae708966794c9

Observation 89ef4eb5-ee44-433c-bd1d-bcea38ce2523 · outbound

This paper cites Designing the conversational agent: Asking follow-up questions for information elicitation.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Designing the conversational agent: Asking follow-up questions for information elicitation

Reference 12

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source=arxiv_source observed=2026-08-02T02:06:41.358494Z digest=sha256:1ad90bfaf68c98f8669a412d6a97a887d0ecb33fed9b1f9132709ab070b9a100

Observation c1931c01-b78e-4dec-9427-8276170b62a3 · outbound

This paper cites Envisioning AI support during semi-structured interviews across the expertise spectrum.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Envisioning AI support during semi-structured interviews across the expertise spectrum

Reference 13

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source=arxiv_source observed=2026-08-02T02:06:41.420735Z digest=sha256:d8fb1703b9b8afad6651f4dd5854fc45bb017f5fe2fc03e1e71251f2f3a5ae5f

Observation 18bddf1a-b42a-4cb5-96d0-e92d8266a850 · outbound

This paper cites Scalable requirements elicitation education through simulated interview practice with large language models.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Scalable requirements elicitation education through simulated interview practice with large language models

Reference 14

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source=arxiv_source observed=2026-08-02T02:06:41.511534Z digest=sha256:f41259adb3f7a79d27769e8b0b86964c7e0ed1cb0351738496bd1aeb716addcc

Observation 6871dd38-4c10-4503-96e4-674a5c533d02 · outbound

This paper cites Real world Scrum a grounded theory of variations in practice.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Real world Scrum a grounded theory of variations in practice

Reference 15

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source=arxiv_source observed=2026-08-02T02:06:41.604429Z digest=sha256:a24ef451526320a27542cd56ca1f1cac1e20a835ad9e0d64b025c013662652a8

Observation de9238e8-84f6-4eca-8bb3-7ffeeb4dbf56 · outbound

This paper cites Equity In The Preparation Of Students For Software Engineering Coding Interviews: ChatGPT as a Mock Interviewer.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Equity In The Preparation Of Students For Software Engineering Coding Interviews: ChatGPT as a Mock Interviewer

Reference 16

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source=arxiv_source observed=2026-08-02T02:06:41.668445Z digest=sha256:f04bbd4f8745445e10668aa8acdc134e79acde6fd7d0d117c8bf13529f8d70a5

Observation 6381f7e4-a9ee-4579-aacc-fb0db9584356 · outbound

This paper cites How We Refactor, and How We Know It.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report How We Refactor, and How We Know It

Reference 17

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source=arxiv_source observed=2026-08-02T02:06:41.783320Z digest=sha256:c9051787864cfed085d7650400e89b47fe25fce6f1fd106a707e801d3d29de45

Observation ecc30e04-cbc8-412e-ac8c-92c5265a3831 · outbound

This paper cites Impact of expert interviews in software engineering: Challenges and benefits.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Impact of expert interviews in software engineering: Challenges and benefits

Reference 18

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source=arxiv_source observed=2026-08-02T02:06:41.875748Z digest=sha256:307c0b026141e5fb44d266889e039ca3592ceedf3ff62af3824042ff67dbe7c6

Observation 1c887be4-f080-4420-b5fa-7648da491393 · outbound

This paper cites Between policy and practice: GenAI adoption in agile software development teams.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Between policy and practice: GenAI adoption in agile software development teams

Reference 19

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source=arxiv_source observed=2026-08-02T02:06:41.965028Z digest=sha256:02430bbafe7f82783b65e6c062f10549efee40783874bd1740d4a6c982ad29a8

Observation a0d84fee-0b6e-429d-80d8-4fe785ca39ae · outbound

This paper cites Revisiting the refactoring mechanics.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Revisiting the refactoring mechanics

Reference 20

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source=arxiv_source observed=2026-08-02T02:06:42.055828Z digest=sha256:270d67f4d92b5eee5095085acef511b107a295e1c8952e19eb86a395532cf795

Observation bdc137cc-d49e-4f92-bdb8-b69b9123520d · outbound

This paper cites Refactoring: An Aid in Designing Application Frameworks and Evolving Object-Oriented Systems.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Refactoring: An Aid in Designing Application Frameworks and Evolving Object-Oriented Systems

Reference 21

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source=arxiv_source observed=2026-08-02T02:06:42.158394Z digest=sha256:5c4848b20dd350e0395e350b28d9535b949b689785fb2a70310379404761e90d

Observation eeb52f5a-76d5-4c8f-b872-4c2544c37f7f · outbound

This paper cites Creating and editing GPTs.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Creating and editing GPTs

Reference 22

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source=arxiv_source observed=2026-08-02T02:06:42.248414Z digest=sha256:ab04f61d5674b890753b95c7f26827930d4a57ebe90e427d181e0a60ebf8c3de

Observation 52bf192e-df60-4347-82b7-fb7be2329bf2 · outbound

This paper cites Adoption of large language models in Scrum management: Insights from Brazilian practitioners.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Adoption of large language models in Scrum management: Insights from Brazilian practitioners

Reference 23

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source=arxiv_source observed=2026-08-02T02:06:42.358624Z digest=sha256:30368ac45b9e235c981733a10106bce51d9069541aaeef91b80ac8cd803f8bd8

Observation df94bdea-37c8-448e-aca8-0755a430720a · outbound

This paper cites An empirical investigation into the impact of refactoring on regression testing.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report An empirical investigation into the impact of refactoring on regression testing

Reference 24

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source=arxiv_source observed=2026-08-02T02:06:42.474562Z digest=sha256:deac1bdc0168554130654fa2310aaec0990a713367cbf2ab3c246b783927ec86

Observation 54078576-822e-45b6-9ede-1aa90511034f · outbound

This paper cites Simulating the software engineering interview process using a decision-based serious computer game.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Simulating the software engineering interview process using a decision-based serious computer game

Reference 25

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source=arxiv_source observed=2026-08-02T02:06:42.624861Z digest=sha256:0584d114666bec09452818c4146994dc62cca464542c82ef5c17b945e4ed0882

Observation 72505e57-62d4-45c9-89a7-d81e24b1aab3 · outbound

This paper cites Agile Software Development with Scrum.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Agile Software Development with Scrum

Reference 26

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source=arxiv_source observed=2026-08-02T02:06:42.777169Z digest=sha256:95fe7f93a2e4b831622f847ad4ae1702ebef36072ed98f34b051a27cfcaa099a

Observation 17b7ac36-b0ff-410d-8d93-de310bf05949 · outbound

This paper cites an unresolved cited work.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Unresolved cited work

Reference 27

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source=arxiv_source observed=2026-08-02T02:06:42.933001Z digest=sha256:afd0fa6788c296f242ce1b52f8551b64335ec3301f5c7dd6c3b3a3459bbf8ce7

Observation 4d698558-3cd9-4e29-8343-1f86e194c405 · outbound

This paper cites Why we refactor? Confessions of GitHub contributors.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Why we refactor? Confessions of GitHub contributors

Reference 28

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source=arxiv_source observed=2026-08-02T02:06:43.112535Z digest=sha256:9600efe2a2c734e0855eb5353babfeef527a47ee12dc4c8658f239addc7854d6

Observation 9f7169ae-1740-470d-ba51-a8c78230c3ee · outbound

This paper cites Automated behavioral testing of refactoring engines.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Automated behavioral testing of refactoring engines

Reference 29

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source=arxiv_source observed=2026-08-02T02:06:43.297037Z digest=sha256:db60a9f6ebbfbe979635e2e9611e010fb29741bcb0e66c27a19ec7f9e1c7657d

Observation 291aeff5-b168-4da8-8188-61c6f099be61 · outbound

This paper cites Ethical interviews in software engineering.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Ethical interviews in software engineering

Reference 30

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source=arxiv_source observed=2026-08-02T02:06:43.437526Z digest=sha256:5616b867e5a208254b838fdc63afa61712e3c7d8607900920ec1c1c6b86284f9

Observation c02a00ed-2aad-42ee-9e05-984b90d4d7d7 · outbound

This paper cites Barriers to Refactoring.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Barriers to Refactoring

Reference 31

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source=arxiv_source observed=2026-08-02T02:06:43.578275Z digest=sha256:255481dd3837d61a3e5905b6a2dda44eea43986356cf433016e0b33d5af1b479

Observation 346a2147-d8a9-4da5-93c1-7c66cab1d3f3 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 32

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source=arxiv_source observed=2026-08-02T02:06:43.741546Z digest=sha256:a2fbad242e62b7a559077c39a8402469c2d5938cc3ba130758a5278c971db72b

Observation 17722ee8-28fd-4209-8514-ac1411888c7d · outbound

This paper cites Collecting qualitative data at scale with large language models: A case study.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Collecting qualitative data at scale with large language models: A case study

Reference 33

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source=arxiv_source observed=2026-08-02T02:06:43.860134Z digest=sha256:3adfc7d62161dc839fae8804e6834ff251e12c3dc3b05f2ba111505a517a61a6

Observation 31477fc1-0c47-485e-b541-ac85a79e9575 · outbound

This paper cites Towards understanding refactoring engine bugs.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Towards understanding refactoring engine bugs

Reference 34

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:06:44.015297Z digest=sha256:8205591a8abe1a18900730b607b54dab8be8e361d07d333e12ecb63750a74453

Observation 82ee98de-6bcd-49e2-91d3-d625ac6ea785 · outbound

This paper cites InterFlow : Designing unobtrusive AI to empower interviewers in semi-structured interviews.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report InterFlow : Designing unobtrusive AI to empower interviewers in semi-structured interviews

Reference 35

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source=arxiv_source observed=2026-08-02T02:06:44.135829Z digest=sha256:0931aff1be5778d2b71a54a9ea54c5018bc3a45b835348951d82e22d864bfcd6

Observation 9ea29c00-2483-4de9-b599-94253840f329 · outbound

This paper cites Zhou, Wenxi Chen, Huahai Yang, and Changyan Chi.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Zhou, Wenxi Chen, Huahai Yang, and Changyan Chi

Reference 36

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source=arxiv_source observed=2026-08-02T02:06:44.206460Z digest=sha256:5f88fce6c664c977cb0b0bdfd1239bd0097b4f693f435ff55b6b31ee4b20d172

Observation 96d86e77-3bfb-44b7-8c7a-6bf85ba20d9a · outbound

This paper cites an unresolved cited work.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Unresolved cited work

Reference 37

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source=arxiv_source observed=2026-08-02T02:06:44.258020Z digest=sha256:7c5fb7d80a4ef1f843b952e304c68808d3f0b6dafd82060b20be8e8ea336a366

Observation a8ef1922-9d9e-40a7-ba57-f5096360832d · outbound

This paper cites an unresolved cited work.

AI-Conducted Interviews in Empirical Software Engineering: An Experience Report Unresolved cited work

Reference 38

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source=arxiv_source observed=2026-08-02T02:06:44.343297Z digest=sha256:51dc003a246795f2f64c6fd13bfd11051a2fa18dd3bec97144aa7960db1fe1c4

Pith citing papers

No inbound Pith citation observations are available.