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Paper Citation Record · LEDGER

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report)

As of 9 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.09434.

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

pith.paper-citation-record.v1
2607.09434 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T03:02:01.360870Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

  • verified exact1
  • verified fuzzy0
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1fcac157-542b-4cfd-bc35-c7d7e5c53698 · outbound

This paper cites 2016 , isbn =.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) 2016 , isbn =

Reference 1

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:da8d91c2e1619d32ee41130aa69fe65b1bff392978fd7d1978e2652358ba2ad6

Observation 0cd3ec59-57e6-4457-aec3-67de67701fe6 · outbound

This paper cites Lessons Learned from an Extended Participant Observation Grounded Theory Study , year=.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) Lessons Learned from an Extended Participant Observation Grounded Theory Study , year=

Reference 2

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:7e6c57f562a694c3aba6c152d8e65d0b4bfce3c770746662b72d4f7d950dede2

Observation 4725cd3a-e478-4bb2-9dcb-4c84a4f9a5aa · outbound

This paper cites , volume =.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) , volume =

Reference 3

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arxiv_id, observed 2026-07-13T03:09:18.721467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:f9d705a855fb0a776b8a7c1e9dbb22099f2b7e9af196bdd1d64f0bd833da3919

Observation c0f4e0f9-084e-4a27-bbf0-8dcd6f0b91ff · outbound

This paper cites 2024 , publisher=.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) 2024 , publisher=

Reference 4

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:e3e8c5864e3d3c06265414ca2e649a958cd1d83e05c173974a3ea0039978b14e

Observation 7f59b7bc-8666-4972-9ead-dadfa052a417 · outbound

This paper cites How Templated Requirements Specifications Inhibit Creativity in Software Engineering , year=.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) How Templated Requirements Specifications Inhibit Creativity in Software Engineering , year=

Reference 5

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:87f7743d3a5e0081b28c06967bb41ef9157a9559b6cbef1d55e5d09609c43cb5

Observation b74c3174-b9cf-488b-8114-774db5eae89a · outbound

This paper cites and Polikarpova, Nadia , title =.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) and Polikarpova, Nadia , title =

Reference 6

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:2b555a50e30efff00c0111dd1f86a8b390a176b42b24e0937f592b1d00ea0f39

Observation dbcef8bf-b1ba-49d8-bf20-454f8ab00aca · outbound

This paper cites Myers , title =.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) Myers , title =

Reference 7

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:7df229250f1769b949813e5fd5f8f243dd9fe379a91bfc0d3c402a9ad7b4c25e

Observation 3dd3d201-03dc-4672-95a8-c15ea68ac224 · outbound

This paper cites Comprehensive Criteria to Judge Validity and Reliability of Qualitative Research within the Realism Paradigm , volume =.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) Comprehensive Criteria to Judge Validity and Reliability of Qualitative Research within the Realism Paradigm , volume =

Reference 8

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:850619158ff64ce6c797a98976fd9eced6499d5a784f48a494b51b3618b500cd

Observation df9b654a-7a8d-41dc-a2cf-71b7fc5753f0 · outbound

This paper cites 2020 , isbn =.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) 2020 , isbn =

Reference 9

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:1c298dec173846fb35b9bea4e3ba0fad90f5b8af4e6f4700fd734bdf327b1318

Observation 9c091347-57f1-4356-88c5-72021df2b726 · outbound

This paper cites , title =.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) , title =

Reference 10

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:12ab961f742d439ed7bbb3216f0f9e1a700f606d79c7503f088c98da4b56282c

Observation 68826801-c649-446d-839f-c0255df1e0e1 · outbound

This paper cites 2022 , eprint=.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) 2022 , eprint=

Reference 11

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:ba95c76ac62a4287e8ce4f7923ca4078b23ece75445998d01e15076f4d4cff97

Observation 15cdc650-80e4-4670-8b53-6300fd508640 · outbound

This paper cites Developer Behaviors in Validating and Repairing.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) Developer Behaviors in Validating and Repairing

Reference 12

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:302375591e781f3dbda41ad229c13281c8a1d8bf50bacd4bcda6e0ea4e26d7ea

Observation d13adad7-7715-4ce6-9072-a11488c74d4d · outbound

This paper cites When Copilot Becomes Autopilot: Generative AI's Critical Risk to Knowledge Work and a Critical Solution.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) When Copilot Becomes Autopilot: Generative AI's Critical Risk to Knowledge Work and a Critical Solution

Reference 13

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:7f5fbb7bacdb46fcc414e802e77a9671f1b6fca338d756a82b3286dceddf75e2

Observation 68277992-50d4-4e9e-994f-8f6c0518557c · outbound

This paper cites Proceedings of the ACM CHI Conference on Human Factors in Computing Systems , year =.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) Proceedings of the ACM CHI Conference on Human Factors in Computing Systems , year =

Reference 14

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:eb434dfe9ee076d75c37da674d1ad650ddf2a91be65eabb0276c8ddd98b13214

Observation d2b196e1-3550-4de1-a1c5-dea0f54437a2 · outbound

This paper cites and Yang, Chenyang and Myers, Brad A.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) and Yang, Chenyang and Myers, Brad A

Reference 15

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:46c44ff020303b839d354373da29a029edb796947d7702249d9e2c27644c686c

Observation d57da36f-b8df-4a86-89bc-555ec544dcb5 · outbound

This paper cites 1983 , issn =.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) 1983 , issn =

Reference 16

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:7036bf03c0a5fb4d08f4a370ae51f8e813467bbabd019f35e1dc27889e4de375

Observation 4b768021-ef3a-467f-8894-707371c9780e · outbound

This paper cites Ironies of Generative AI: Understanding and mitigating productivity loss in human-AI interactions.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) Ironies of Generative AI: Understanding and mitigating productivity loss in human-AI interactions

Reference 17

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:4012df20b915a116047db70f04a73aea04d20e15301da52e5742a7ab600f2a9b

Observation d2e513f9-11c4-4f8b-84b6-b5fc9fb32363 · outbound

This paper cites 2023 , issue_date =.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) 2023 , issue_date =

Reference 18

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:6b672e0d19c41aa04c6bcdfe144635a91a2a4d3486db0c9f1bdff85b85479262

Observation b6a51360-b85a-496b-9e6e-a612c6a39170 · outbound

This paper cites 2024 , isbn =.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) 2024 , isbn =

Reference 19

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:e098b226caae889a3cd9c2572e1c2f8162beab9dbb9bcbe67bd44466e415989a

Observation a3a9a2c9-6655-40ec-8efe-f892c7913061 · outbound

This paper cites 2014 , issue_date =.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) 2014 , issue_date =

Reference 20

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:c6e913f49461db0e41cab93bd52221a9469ebcdb213e6b84013b66adb835fb6f

Observation 35789718-04e8-42e1-8885-aca6d7badd9e · outbound

This paper cites and Polikarpova, Nadia and Lerner, Sorin , title =.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) and Polikarpova, Nadia and Lerner, Sorin , title =

Reference 21

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:fc372a3c261fe91d94a14e47dc2a2fc7b76b88d0c751d935439566f9cd3a376e

Observation 98403a38-e896-4d05-8821-7a6e653ce2b4 · outbound

This paper cites 2024 , isbn =.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) 2024 , isbn =

Reference 22

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:9bfa93470f0cc184f81233b376d6c63b8b3c781f99a9082220a4fc01831efee1

Observation 5f8d3c1d-edb5-4a0b-aee7-b22a9037d3d8 · outbound

This paper cites 2023 , isbn =.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) 2023 , isbn =

Reference 23

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:fa572b08490c9b7a3eb9522986d05b5417bf02bc7caae44be44ca665828c1ef1

Observation d6283b25-904f-4792-94e6-b7ccdbe436d1 · outbound

This paper cites and Denny, Paul and Becker, Brett A.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) and Denny, Paul and Becker, Brett A

Reference 24

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:55e6262ed5bd1ae7b312df5f9c351d5a0ed9e79a657504fe7b03b158c4240cda

Observation e63104f2-8d91-4738-9d8c-39ed0470f9aa · outbound

This paper cites and Martinez, Fernando and Houde, Stephanie and Muller, Michael and Weisz, Justin D.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) and Martinez, Fernando and Houde, Stephanie and Muller, Michael and Weisz, Justin D

Reference 25

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:b0bf7cde6b941626eeb3f21c9e3a31b483c9fc2ebe44a01ec8a0c5886526a3a7

Observation af1b2c99-0502-46d5-998b-ced498214303 · outbound

This paper cites and Muller, Michael and Houde, Stephanie and Richards, John and Ross, Steven I.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) and Muller, Michael and Houde, Stephanie and Richards, John and Ross, Steven I

Reference 26

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:2332b75818776613987899e5e0f7d21e6b457c798049ae0174af590ec76d05c0

Observation 9270058d-9233-41e8-bbb4-5d45056c4d7c · outbound

This paper cites AI Tool Use and Adoption in Software Development by Individuals and Organizations: A Grounded Theory Study.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) AI Tool Use and Adoption in Software Development by Individuals and Organizations: A Grounded Theory Study

Reference 27

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:4b154c78ff21689780aa6c56e98ee5ca2287b214fdce470065098d3b7f0ad910

Observation 3928b405-3c35-4fb0-84d0-d4697e91604d · outbound

This paper cites Walking the Tightrope of LLMs for Software Development: A Practitioners' Perspective.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) Walking the Tightrope of LLMs for Software Development: A Practitioners' Perspective

Reference 28

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:b6656062524eed3dfe85d7323aa25794db32ac6b1ef4106fb4eeede5687370fd

Observation 78424401-77fe-4ff3-a10b-fcff497dbe26 · outbound

This paper cites 2026 , eprint =.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) 2026 , eprint =

Reference 29

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:e45499426af24731f0e16bbd0d31bf740dce699c722f5fc018588b84fd77b574

Observation d0cebb35-59be-490e-bead-72f2fe534566 · outbound

This paper cites and Strauss, Anselm L.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) and Strauss, Anselm L

Reference 30

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:6411c58654cc83068d71de379abe8ed51417d3ec6e1551f88d97d1179c744307

Observation a84cff92-4ddb-49ec-8a97-1d12ad2fc577 · outbound

This paper cites an unresolved cited work.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) Unresolved cited work

Reference 31

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:6ba1d86b1f00e0a40974921f8ae9cb75cbe385c2d077f5246ead41b0c2305a8a

Observation 8bc5e4f9-ee81-473b-9fed-e466651dc5b4 · outbound

This paper cites 2015 , edition =.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) 2015 , edition =

Reference 32

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:2194aa169700c8dbf960defc78d1be679f93b99fbf20f071cc318c727a300a42

Observation a39f56f8-3de5-4570-bf2e-4d4ae53ec941 · outbound

This paper cites an unresolved cited work.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) Unresolved cited work

Reference 33

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:2f69df8b671684f85e7d6c936d92c2bb8fc52fa208aade4b23ac1c0c959bfc83

Observation 833f1a58-eff6-4b2a-8377-708dd595754a · outbound

This paper cites How Do Programmers Evaluate AI-Generated Code? , year =.

How Do Software Professionals Evaluate AI-Generated Code? (Registered Report) How Do Programmers Evaluate AI-Generated Code? , year =

Reference 34

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source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:4db8722dcf1bf95f068865f297ce44cf3fa393d5b7cb714f6ce0cff9ea65fe32

Pith citing papers

No inbound Pith citation observations are available.