Paper Citation Record · LEDGER

A survey of generative AI adoption and perceived productivity among scientists who program

As of 5 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 5 inbound Pith citation observations for arXiv:2512.19644.

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

pith.paper-citation-record.v1
2512.19644 v3

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T20:19:29.230100Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:17:42.454750Z

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

52 of 52 outbound references displayed

verified exact13
verified fuzzy23
unresolved6
parse uncertain0
malformed identifier4
metadata mismatch6

External citation measurements

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

Outbound references

Observation e4f7b62e-0481-480d-bd7a-f3660d2733f6 · outbound

This paper cites It’s impossible to conduct research without software, say 7 out of 10 UK researchers (2014).

A survey of generative AI adoption and perceived productivity among scientists who program It’s impossible to conduct research without software, say 7 out of 10 UK researchers (2014)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:21:14.323167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fe08a9a7-8b38-4d12-8d37-43609a685075 · outbound

This paper cites Software Carpentry: Lessons learned (2016).

A survey of generative AI adoption and perceived productivity among scientists who program Software Carpentry: Lessons learned (2016)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:21:14.328103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 54e144aa-6756-4640-a92d-93e554707a1a · outbound

This paper cites C., Weber, N., Ram, K., Gesing, S.

A survey of generative AI adoption and perceived productivity among scientists who program C., Weber, N., Ram, K., Gesing, S

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:21:14.321365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8fb99712-20a4-4614-bcda-0240dade0457 · outbound

This paper cites & Katz, D.

A survey of generative AI adoption and perceived productivity among scientists who program & Katz, D

Reference 4

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Source-reported events for the cited work

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Observation 5403857d-6de9-4e20-9823-33dd4aa20f61 · outbound

This paper cites URL https://dl.acm.org/doi/abs/10.1145/3520312.3534864.

A survey of generative AI adoption and perceived productivity among scientists who program URL https://dl.acm.org/doi/abs/10.1145/3520312.3534864

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T20:21:13.305279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 99983999-24cc-43fe-a83a-10fb6148be07 · outbound

This paper cites URL https://arxiv.org/abs/2509.19708v1.

A survey of generative AI adoption and perceived productivity among scientists who program URL https://arxiv.org/abs/2509.19708v1

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:21:13.554274Z

Source-reported events for the cited work

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Observation 46d14a6a-784b-4053-813d-c133bd955a2e · outbound

This paper cites Reeves, Juho Leinonen, Stephen MacNeil, Arisoa S.

A survey of generative AI adoption and perceived productivity among scientists who program Reeves, Juho Leinonen, Stephen MacNeil, Arisoa S

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T20:21:13.308644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2461fe85-a40c-4787-b2a5-c55df869ccee · outbound

This paper cites an unresolved cited work.

A survey of generative AI adoption and perceived productivity among scientists who program Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-05-16T20:21:14.330274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 80f38757-4978-4efa-a7c0-6f098b6bd5e0 · outbound

This paper cites & Horvitz, E.

A survey of generative AI adoption and perceived productivity among scientists who program & Horvitz, E

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:21:14.332390Z

Source-reported events for the cited work

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Observation 539a8a51-9367-404b-a262-e2d98c61df34 · outbound

This paper cites & Glassman, E.

A survey of generative AI adoption and perceived productivity among scientists who program & Glassman, E

Reference 10

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Source-reported events for the cited work

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Observation 9de9e7a4-1243-4ab5-95db-8e2127b17ee0 · outbound

This paper cites an unresolved cited work.

A survey of generative AI adoption and perceived productivity among scientists who program Unresolved cited work

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 13ce89e2-3e8f-41ed-b3e7-fa8c0a6ed630 · outbound

This paper cites How Scientists Use Large Language Models to Program.Conference on Human Factors in Computing Systems - Proceedings16 (2025).

A survey of generative AI adoption and perceived productivity among scientists who program How Scientists Use Large Language Models to Program.Conference on Human Factors in Computing Systems - Proceedings16 (2025)

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T20:21:13.312043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b94b854b-3605-492c-923b-af0825824af2 · outbound

This paper cites Threats to scientific software from over-reliance on AI code assistants.

A survey of generative AI adoption and perceived productivity among scientists who program Threats to scientific software from over-reliance on AI code assistants

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:21:14.334953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f96faec6-9443-4338-90b5-3286554241ce · outbound

This paper cites PLOS Computational Biology 13(6), e1005510 (Jun 2017).

A survey of generative AI adoption and perceived productivity among scientists who program PLOS Computational Biology 13(6), e1005510 (Jun 2017)

Reference 14

Resolution: metadata mismatch; doi, observed 2026-05-16T20:21:13.313852Z

Source-reported events for the cited work

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Observation 31f91a51-c507-4621-8996-1eacda80fca9 · outbound

This paper cites & Sankaranarayana, R.

A survey of generative AI adoption and perceived productivity among scientists who program & Sankaranarayana, R

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:21:14.315785Z

Source-reported events for the cited work

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Observation 74bca82e-98c5-4734-a1fe-f5b72a2e064b · outbound

This paper cites URL https://dl.acm.org/doi/10.1145/2063348.

A survey of generative AI adoption and perceived productivity among scientists who program URL https://dl.acm.org/doi/10.1145/2063348

Reference 16

Resolution: verified exact; doi, observed 2026-05-16T20:21:13.316404Z

Source-reported events for the cited work

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Observation b1e080c4-331c-4f00-ae89-8159bab3578a · outbound

This paper cites URL https: //ascopubs.org/doi/10.1200/JCO.2016.69.0875.

A survey of generative AI adoption and perceived productivity among scientists who program URL https: //ascopubs.org/doi/10.1200/JCO.2016.69.0875

Reference 17

Resolution: verified exact; doi, observed 2026-05-16T20:21:13.291903Z

Source-reported events for the cited work

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Observation 55506146-f2d9-491f-8d20-c55c9ee3bda8 · outbound

This paper cites & Latham, K.

A survey of generative AI adoption and perceived productivity among scientists who program & Latham, K

Reference 18

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Source-reported events for the cited work

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Observation c9f0e824-ef5b-46ae-bc2d-1387fb1b30d4 · outbound

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A survey of generative AI adoption and perceived productivity among scientists who program Unresolved cited work

Reference 19

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Observation e1754f15-9b15-457f-8ab7-e25b94bf9425 · outbound

This paper cites & Mayer, S.

A survey of generative AI adoption and perceived productivity among scientists who program & Mayer, S

Reference 20

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Observation 77bfedc4-3ab6-4d25-a0b4-a2955e65bebc · outbound

This paper cites & Rein, D.

A survey of generative AI adoption and perceived productivity among scientists who program & Rein, D

Reference 21

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Source-reported events for the cited work

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Observation 304b1f7b-8748-405a-9fa6-ebd0bb8d20dc · outbound

This paper cites Developer Productivity With and Without GitHub Copilot: A Longitudinal Mixed-Methods Case Study.

A survey of generative AI adoption and perceived productivity among scientists who program Developer Productivity With and Without GitHub Copilot: A Longitudinal Mixed-Methods Case Study

Reference 22

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Observation be3efd71-f669-4819-a4ff-74cbda374584 · outbound

This paper cites & Vasilescu, B.

A survey of generative AI adoption and perceived productivity among scientists who program & Vasilescu, B

Reference 23

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Source-reported events for the cited work

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Observation 6ef1ed92-47c1-44bf-9239-fc0354d396d0 · outbound

This paper cites & Blincoe, K.

A survey of generative AI adoption and perceived productivity among scientists who program & Blincoe, K

Reference 24

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Source-reported events for the cited work

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Observation 3bb1052b-7744-46a1-8999-f81d54f76809 · outbound

This paper cites an unresolved cited work.

A survey of generative AI adoption and perceived productivity among scientists who program Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-05-16T20:21:14.300035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d2bd65da-1615-4b42-b1e9-d6413277a31d · outbound

This paper cites It’s Weird That it Knows What I Want.

A survey of generative AI adoption and perceived productivity among scientists who program It’s Weird That it Knows What I Want

Reference 26

Resolution: malformed identifier; raw_fallback, observed 2026-05-16T20:21:14.302106Z

Source-reported events for the cited work

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Observation ff018ece-0e22-4330-9cae-e2558e3680c4 · outbound

This paper cites Reducing Overconfidence in Spreadsheet Development.

A survey of generative AI adoption and perceived productivity among scientists who program Reducing Overconfidence in Spreadsheet Development

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:21:13.565383Z

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Observation 153cc4c7-ffa7-475d-902f-162dda3d90bd · outbound

This paper cites J.et al.The State of the Art in End-User Software Engineering.

A survey of generative AI adoption and perceived productivity among scientists who program J.et al.The State of the Art in End-User Software Engineering

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:21:14.305931Z

Source-reported events for the cited work

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Observation b74fd1bc-7087-42be-a488-9004a5b9262f · outbound

This paper cites K.et al.Data Carpentry: Workshops to Increase Data Literacy for Researchers.International Journal of Digital Curation10(2015).

A survey of generative AI adoption and perceived productivity among scientists who program K.et al.Data Carpentry: Workshops to Increase Data Literacy for Researchers.International Journal of Digital Curation10(2015)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:21:14.296147Z

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Observation 6b972d34-b396-486c-8aaa-567504c4c710 · outbound

This paper cites Testing Research Software: An In-Depth Survey of Practices, Methods, and Tools.

A survey of generative AI adoption and perceived productivity among scientists who program Testing Research Software: An In-Depth Survey of Practices, Methods, and Tools

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:21:13.562703Z

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Observation 2f7f63ce-87b8-4975-a149-4bcbc6dd1738 · outbound

This paper cites & Bieman, J.

A survey of generative AI adoption and perceived productivity among scientists who program & Bieman, J

Reference 31

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Observation 4c13f871-5d0c-4717-b914-47757d55c08f · outbound

This paper cites & Grunske, L.

A survey of generative AI adoption and perceived productivity among scientists who program & Grunske, L

Reference 32

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Observation 991d835b-11a4-46d5-bdc8-8c6f2e7725f5 · outbound

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A survey of generative AI adoption and perceived productivity among scientists who program Unresolved cited work

Reference 33

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A survey of generative AI adoption and perceived productivity among scientists who program Not everyone can use Git

Reference 34

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Observation 22030949-3bc9-483d-8b9f-6b1bce5d86ab · outbound

This paper cites an unresolved cited work.

A survey of generative AI adoption and perceived productivity among scientists who program Unresolved cited work

Reference 35

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Observation 0a8e4a2d-c86a-4dde-897a-533d0769d032 · outbound

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A survey of generative AI adoption and perceived productivity among scientists who program Towards Understanding the Characteristics of Code Generation Errors Made by Large Language Models

Reference 36

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Observation 2468ce56-0e05-4850-aa31-52ef82828795 · outbound

This paper cites & Perkel, J.

A survey of generative AI adoption and perceived productivity among scientists who program & Perkel, J

Reference 37

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Observation cfea0e2d-6f41-476b-a47c-cd24884f28ed · outbound

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A survey of generative AI adoption and perceived productivity among scientists who program Caziot and B

Reference 38

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Observation cf7d97d1-fb36-4140-9d59-0e6403a96336 · outbound

This paper cites URL https://papers.ssrn.com/abstract= 38 5259847.

A survey of generative AI adoption and perceived productivity among scientists who program URL https://papers.ssrn.com/abstract= 38 5259847

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:21:14.303938Z

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Observation 04246a9c-7d97-4cf4-9cb7-0d89192e53a9 · outbound

This paper cites How Developers Interact with AI: A Taxonomy of Human-AI Collaboration in Software Engineering.

A survey of generative AI adoption and perceived productivity among scientists who program How Developers Interact with AI: A Taxonomy of Human-AI Collaboration in Software Engineering

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:21:13.559879Z

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Observation 7fffb53b-7033-4d84-ad5f-52e280672e4a · outbound

This paper cites inPolychoric and Polyserial Correlations(eds Kotz, S.

A survey of generative AI adoption and perceived productivity among scientists who program inPolychoric and Polyserial Correlations(eds Kotz, S

Reference 41

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This paper cites URL https://spawn-queue.acm.org/doi/10.1145/3454122.3454124.

A survey of generative AI adoption and perceived productivity among scientists who program URL https://spawn-queue.acm.org/doi/10.1145/3454122.3454124

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:21:13.300068Z

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Observation 81196d66-0a2d-4972-86c5-13b3863801f3 · outbound

This paper cites & Wyatt, J.

A survey of generative AI adoption and perceived productivity among scientists who program & Wyatt, J

Reference 43

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Observation c58f23ce-9655-4023-85f1-eeedc9b7b46a · outbound

This paper cites Who Has Plots?.

A survey of generative AI adoption and perceived productivity among scientists who program Who Has Plots?

Reference 44

Resolution: verified exact; doi, observed 2026-05-16T20:21:13.290076Z

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Observation d1b2ca9a-a55f-4c39-8c53-a92efe73f7cd · outbound

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A survey of generative AI adoption and perceived productivity among scientists who program Unresolved cited work

Reference 45

Resolution: verified exact; doi, observed 2026-05-16T20:21:13.293555Z

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Observation 29f43934-c5d4-4f50-af4a-98656ee0cc91 · outbound

This paper cites & Wills, C.

A survey of generative AI adoption and perceived productivity among scientists who program & Wills, C

Reference 46

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Observation 21cbafb3-a184-4a3e-b3f6-d7da0652562a · outbound

This paper cites Self-Admitted GenAI Usage in Open-Source Software.

A survey of generative AI adoption and perceived productivity among scientists who program Self-Admitted GenAI Usage in Open-Source Software

Reference 47

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Observation e0eccef5-1017-4652-ba05-99a5b41f2795 · outbound

This paper cites Here the GPT made a choice, and every choice can be biased.

A survey of generative AI adoption and perceived productivity among scientists who program Here the GPT made a choice, and every choice can be biased

Reference 48

Resolution: verified exact; doi, observed 2026-05-16T20:21:13.302285Z

Source-reported events for the cited work

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Observation 953c4cd0-622a-4835-b9fc-d384e4857724 · outbound

This paper cites an unresolved cited work.

A survey of generative AI adoption and perceived productivity among scientists who program Unresolved cited work

Reference 49

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Observation 6be4c00c-0043-46a1-a43e-5b1436b65517 · outbound

This paper cites R: A Language and Environment for Statistical Computing (2025).

A survey of generative AI adoption and perceived productivity among scientists who program R: A Language and Environment for Statistical Computing (2025)

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:21:14.280014Z

Source-reported events for the cited work

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Observation b1f1897c-0f2e-46c5-a895-3d32263a7a83 · outbound

This paper cites stargazer: Well-Formatted Regression and Summary Statistics Tables (2022).

A survey of generative AI adoption and perceived productivity among scientists who program stargazer: Well-Formatted Regression and Summary Statistics Tables (2022)

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:21:14.285517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3425dd2b-0232-4f99-8e2a-fbcc2b4e1f41 · outbound

This paper cites & Simko, V.

A survey of generative AI adoption and perceived productivity among scientists who program & Simko, V

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:21:14.277419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 6ef6a6d4-f2d1-469d-ab3e-0acbf76b47e6 · inbound

Adoption and Impact of Command-Line AI Coding Agents: A Study of Microsoft's Early 2026 Rollout of Claude Code and GitHub Copilot CLI cites this paper.

Adoption and Impact of Command-Line AI Coding Agents: A Study of Microsoft's Early 2026 Rollout of Claude Code and GitHub Copilot CLI A survey of generative AI adoption and perceived productivity among scientists who program

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-03T19:18:54.351175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 18876e68-22cf-4f6c-b16e-fa3327fce560 · inbound

LLMoxie: Exploring Agentic AI for Scientific Software Development cites this paper.

LLMoxie: Exploring Agentic AI for Scientific Software Development A survey of generative AI adoption and perceived productivity among scientists who program

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-12T07:37:37.032195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd1af722-060f-4f37-8878-74f8f8fd6f75 · inbound

Aleena: Alignment Agent for Research Software Engineering Collaborations cites this paper.

Aleena: Alignment Agent for Research Software Engineering Collaborations A survey of generative AI adoption and perceived productivity among scientists who program

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-07-10T01:16:40.460833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9521e271-749c-450e-b00a-7c396cedde45 · inbound

Reflections and Recommendations on AI Adoption Practice from a Mixed-Ability Research Group cites this paper.

Reflections and Recommendations on AI Adoption Practice from a Mixed-Ability Research Group A survey of generative AI adoption and perceived productivity among scientists who program

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T04:17:42.454750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2a6781a-cd97-450c-800f-511e7bdebd82 · inbound

Who is scientific code for? Maintaining human-readable landmarks in agent-written code cites this paper.

Who is scientific code for? Maintaining human-readable landmarks in agent-written code A survey of generative AI adoption and perceived productivity among scientists who program

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T00:58:54.758896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.