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Paper Citation Record · LEDGER

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

As of 4 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 2026-08-04T06:34:03.388597+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=sha256:2ea7b055287e34a3bcd9ac164c81251e9c3083034627c1d5e708961f9bc558b9

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=sha256:47463340ae7ca38b6a91f6c9385b7f9d85a926671696fe1cd88fb3eced0417ca

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=sha256:41b9842863d77effc02bb00a1c465b79027c836abc8be9c95523d909b335a5e1

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:fe0243e3439d18ea8dfa719f8e34fb6822df82dda901b18473f8e649150ba43f

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=sha256:72950066f49759fc81b49e670c8fa5caaf3c6989c322e2e50f1e7435461f88a1

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:b83085110a8addded443cbb68ba631007682798d4a1e1755d58eef8007686af5

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:b7ebca95cd3c2dd0b7fbda5ab7c3455e043f5d96a306582813474acb6d12406a

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=sha256:4489887697885495288dd8d9482c0ff41751b4cbee58e8f01e35b71bca35a447

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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verified exact
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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-08-02T02:06:41.175336Z digest=sha256:298f66a2a7a9da29b736ce2ddf3ada6d1122953200960d3def8f9af32c9c5df4

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:d7c52570d83543550beb631e2221b71bf3f4cdd7f5204a1e55e801767a3154f4

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=sha256:502f6b390f0933ffb4801b79158fabc8a0af39603255415d8c64e28b418caa9c

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=sha256:3c390825d8bc1f0693f41dcd0b67dbc95db932709e8613faf43909531626b221

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=sha256:2842b501912b80d8271e471a8d5550f3e72d67e94b78e3f9919315b640ecc5e5

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=sha256:51d1f522da70d32be7dc6811c8a18bf0a8f6b51df827dc92155dc35d225518f5

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=sha256:43f93f624a1cdfa2c07caca141a59b52c6c1004a3861bb6d4e60c63209198659

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:bd2854af19c5515c27769362e408abdf602d16781fdb3ec6358cc02140bbb510

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:e67e3390cbf11a60a89932ef64f7fbc423391e466918601921a161742d216cc1

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:de4ade32869ab73cb7e6a749e44aa1f2e033423ca3828667e8035d8dbed7fcb6

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=sha256:7b0fd83e726efd4a8474285e3b69aaa7ac22d8baffdb796a691224753751b99d

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:c5368424c09c2769b570397d7d293ec0a3e474f4e20f080f9ed83d1076f42fca

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=sha256:928498e043033724012384323ad3aaf2716c79937d155631d24e89c43188e8b7

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=sha256:7e56832a6124445364912b3ced1d5fb6c4fe46803910a6e508b7a727826455de

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:fc06413aad94875de632c4595a1132a5ecd03242bac00ecc537694c38d9ff30b

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:e1ecec85a78a30b51d3577602440175acd150dae02e4996feaf0b92f878a3604

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:f72584800a32260e0a8b1ae14ce7d57adfa79c394a95a4ff133cc2297168ddce

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:bc0a5b80b5bb9b49c30b62dc9361b84c179f571ee6b50652d04da78ab7fc316e

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:b6a9cd7d4aba11d8288e3489876461dd87e064675baff06b7c2d103a806efe99

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=sha256:89b674d545b06de0ad733c4de0348bc022303bc2c837ebc876845e218db3fc3a

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=sha256:6d2244c83f298b7860705a10af7082ae1c9d31e0514a23d0dd3de80a22f49910

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=sha256:152a362e182fc981a0c485d911124353bc3d4a0f051eea74d22805307ca81d92

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:b56cef6f2f343f7e396dd7e624690f3b0d7c71bc413b06d6af8dcea995d18594

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=sha256:0047496e53520cb595abee8bbc76872de5cd3a55d0d6facf58ef669a30bb6b99

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=sha256:1cf627c65a6663f5f583b0ade6c655dc5b0178c4d9e925e76c427a713b1a9624

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:d87fcdf3364ef314936d3f8a930980f59b8cc25dfdd2093636c6c32957f12686

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-reported events for the cited work

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source=arxiv_source observed=2026-08-02T02:06:44.135829Z digest=sha256:c7a16cabbd9236b0eda973d5c48ca277811c0d5cda4cc1ee7f277439fdf8aa30

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:06:44.206460Z digest=sha256:9a4b3e75c82f820d3b7f4c0e3af73d81989ae449e4fc21e8017b8a82d6de7258

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=sha256:0d315fe7c683a88eb3b98572ad1d696cab4ca81cdc40befb4f8515fe4e3202a1

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:ff0f90dcaf39f01af38dff22375911419d40c9369f79727518be72c2ceb573c1

Pith citing papers

No inbound Pith citation observations are available.