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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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=sha256:21bab40b9e90e8c1f55f42add800bc52aac28b8ccd7246b733449a0e79cbf109

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:c50236ff8be96eb5c9b54116768c1d983d5503b4f25474e5bf6730bef8c2d9d0

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-13T03:02:01.360870Z digest=sha256:8d38a38a68b8c0272dccff363417e3e9054b107673af2eb728a77bc70a5c4b42

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=sha256:8f3ba6c1ed3b1db08654940f33ccab3d50f3c9860a1e60469d2c08e4bfc28a83

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=sha256:19c73f85e91c3539ad56cec14653dc46abb47e3d05589ed17becf136521d53e4

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=sha256:7905971bc1e2e0458b886b65763b53347c1e023fdd22d3694f63aca09d914f46

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=sha256:8a5011cfc2250909d0baa083827f530d365d3b3880001652b826a0df691cb4d9

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:cb7afe15dfcfb80214d29d913ae9a67847b2e029f5ec6b58cb324bf196620aae

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=sha256:72263bdd1c35e59c429907e7c7ab423d5357b15a643569d2f6484155fecf671a

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:a23885a96eb77c46e3b93dfe9ef4c5498bf06aa04658fe1fbc5cb4cb997b1ccb

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=sha256:406f4e542fe378684731c211a5c678fb0715b00041fe963a7bc7c796191a3d9a

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=sha256:8a3e5b6697ca58c63528af361a2e0f936cf05a131d40ef6db537f656b9de8050

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:f67a6d26132b2fc807b155e3ad483c396b923c0ed93b455ca349b53d619c4306

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=sha256:0a156e40871e512118a4c6d7eaabf1320d6a8e818ee5c8cbfd98314e621094bd

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:c93dc42b0efabae13d16d1e0f827e95d974ec1f03b4082eacc1bfccb0c06665c

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:ad376ee627eb79d6a862ff9fc6a5782e94464eadf56b9ca7067ac8e9602adcf9

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:b3faa2c528c39d70a4f93b892ef2a9ffbafa99265de926e4427c06b83604534d

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:a12dbcabc28ae4d9fbb8862d37b30d2152a8f859b684091d05f29c61e5dc023a

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=sha256:09fad99730faa2ce19f0e596f7bc3c609fc487ecf1f3de18df3ae83f052b5485

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=sha256:7169b4b39b48690dd397d5a538c5223d5bd1144fa238954fa506f4826666e976

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:db9cf23ce33ccfa3c54562fd778d186b975c144d5f7d3c4480c086d73946b221

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=sha256:527db17bcc064738cef6a8037b61a4ab0bc0433b41c10a9850af14153e537c7c

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=sha256:6848cb17401ea54bcd993545bbc44bf40bc05faa0138a0e55de08dfb33306efb

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=sha256:6f4ff4113544161c6c390fb7d0dd01069b0da990a742f7314c6cc3d88797f03e

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=sha256:0cd5c8ceeb5dd5230d10b01fa53a59d2008455635b33d99f474a0d1e75bad207

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:b38717e0a610ccd30e27be698824eed2deac9e4e68b82fb4fdd80d6daa940914

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=sha256:7388f5434573542d35412dc1cc93d1954036f4e1c799729a644158f2074ca629

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:d4851a118acfe405302513eaa10c1f38c09c7e7f9258e928f0f0f4b926f632a6

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:cdb0cc97480700ef9f53334e0cb868cc6a4967c567be8db2a0f2e338a8f1c2be

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:b87244eeb16022e217f2940cb4a462a8c9d9d7c06efdee17f18c8a827295acdb

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:e011413585b66e2e64cf1de19c2786000d92a4c303e06012a3fd9d7b889b36bf

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:cde7546a7b03570ccdeeedb601687c25d9ae34615f8b518f1954e3f6ca56b46a

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=sha256:171307c4646a22ed490fe65322886318e2296fee3208edb9c1582478e0e00b36

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=sha256:3e80678cf859542bc4dffaf197dd1bb3f7fd6f6a5f91c3bea1ab48eaa85ed3d0

Pith citing papers

No inbound Pith citation observations are available.