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Paper Citation Record · LEDGER

The Impact of Generative AI on Code Expertise Models: An Exploratory Study

As of 22 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2507.08160.

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

pith.paper-citation-record.v1
2507.08160 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:29:46.144066Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

43 of 43 outbound references displayed

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  • unresolved38
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation be9430ab-9efd-4f57-a60a-0143c3f47a19 · outbound

This paper cites an unresolved cited work.

The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 1

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Observation dbcf68d9-3d89-46d8-b631-b96ca7b12f8f · outbound

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 2

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Observation cc3639f7-5390-4d21-9e41-331da1992e33 · outbound

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 3

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 4

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Source-reported events for the cited work

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Observation 288404a7-6d23-4898-9fe0-35121bafc46d · outbound

This paper cites an unresolved cited work.

The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 5

Resolution
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Source-reported events for the cited work

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 6

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Source-reported events for the cited work

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Observation 494f0436-3173-4e2c-9358-4ec0fb39e805 · outbound

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 7

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Observation cec945b4-ea04-4ff5-acf8-4aa8197db9ba · outbound

This paper cites Current and Future Use of Large Language Models for Knowledge Work.

The Impact of Generative AI on Code Expertise Models: An Exploratory Study Current and Future Use of Large Language Models for Knowledge Work

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 519317f0-a119-4b38-b536-c9374352bc06 · outbound

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 9

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Observation d5bdedd2-efec-4949-bbb3-fb7786b332f3 · outbound

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 10

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 11

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Observation 5a72525e-1e76-42dc-ac0e-9cb2e5c64045 · outbound

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 12

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Source-reported events for the cited work

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Observation 30baae27-355e-41f4-bd3a-3a1a722c9116 · outbound

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 13

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Source-reported events for the cited work

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Observation 0a2b392d-c1dc-48ac-ab56-53108f64cfa3 · outbound

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 14

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Observation 802d1462-3439-49c9-a5a2-d22df2f64753 · outbound

This paper cites Sea Change in Software Development: Economic and Productivity Analysis of the AI-Powered Developer Lifecycle.

The Impact of Generative AI on Code Expertise Models: An Exploratory Study Sea Change in Software Development: Economic and Productivity Analysis of the AI-Powered Developer Lifecycle

Reference 15

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Unavailable: canonical work link unavailable.

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Observation 349048b9-0454-464f-a4cf-a2759f93c68c · outbound

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 16

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Source-reported events for the cited work

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Observation c4e993f9-4de9-46dd-a456-6bbd863d760f · outbound

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 17

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Source-reported events for the cited work

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Observation c2c3bb49-d2b6-4565-beec-c4d0ad17eced · outbound

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 18

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Observation ea3232ea-d733-4715-83b7-b15fcee7093c · outbound

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 19

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Observation 3e13a625-e59b-4528-a873-1e6e9bf021dc · outbound

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study An Automated Survey of Generative Artificial Intelligence: Large Language Models, Architectures, Protocols, and Applications

Reference 20

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Reference 21

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Reference 22

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Observation a6dfee58-882d-4296-a95d-5541c4a4dcc1 · outbound

This paper cites An Empirical Study on Developers Shared Conversations with ChatGPT in GitHub Pull Requests and Issues.

The Impact of Generative AI on Code Expertise Models: An Exploratory Study An Empirical Study on Developers Shared Conversations with ChatGPT in GitHub Pull Requests and Issues

Reference 23

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Observation c3ce89ac-eba7-4cd5-87f8-1b6168cef36c · outbound

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 24

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Observation 365c5f17-3590-459b-b1ae-a758651a10d9 · outbound

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 25

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Observation fd675457-e7a9-4cb9-8f82-ae0b7d4bc5d6 · outbound

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation

Reference 26

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Exploring the Design Space of Cognitive Engagement Techniques with AI-Generated Code for Enhanced Learning

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Reference 28

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Generative Artificial Intelligence for Software Engineering -- A Research Agenda

Reference 29

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Reference 30

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Reference 31

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study It’s Weird That it Knows What I Want

Reference 32

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 34

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 35

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Observation e75bf0f9-19e7-4355-b2b7-505393ea2ab5 · outbound

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 36

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 2ed19238-6d77-4d62-b083-0a1ea5f1b009 · outbound

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The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 37

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raw_fallback, observed 2026-08-06T18:29:47.361790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:29:45.728219Z digest=sha256:70ef6f23ff9ed043592681cccf1ad76be771795998e6856ffd07d1eb43f9cf4d

Observation 25586929-1b2d-489c-9ecf-67c59fd91f9c · outbound

This paper cites an unresolved cited work.

The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T18:29:45.818425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:29:45.818425Z digest=sha256:75bb9392a644b0d9f6a9c4f1d23845f6c7e950a9f8f53609ec65a36db407f6a0

Observation ccb086f4-5539-4452-8112-be59edec8b38 · outbound

This paper cites an unresolved cited work.

The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:29:47.263978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:29:45.912633Z digest=sha256:7cd3943451949366883e81862e7118ebb1c7efec2a258159b29287bce27c96dd

Observation 74995041-5716-49ae-a0cd-174c60af667e · outbound

This paper cites an unresolved cited work.

The Impact of Generative AI on Code Expertise Models: An Exploratory Study Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:29:47.084208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:29:46.144066Z digest=sha256:0dc60daa5567d9d86b39e0be82ab7baf5a8789608a75bdf560c0ac7cb7d28846

Observation 395cc014-e738-498c-a9dd-7c255ccbe9f7 · outbound

This paper cites In Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering.

The Impact of Generative AI on Code Expertise Models: An Exploratory Study In Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering

Reference 2016

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:29:48.473195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:29:44.288447Z digest=sha256:e9763931eca424d3b7d2931431dda0f884deecd5fe09c99e739549082c16f2f6

Observation d7ad9ba8-bf2a-44da-ab64-8c263b7c3ec8 · outbound

This paper cites Demystifying Practices, Challenges and Expected Features of Using GitHub Copilot.

The Impact of Generative AI on Code Expertise Models: An Exploratory Study Demystifying Practices, Challenges and Expected Features of Using GitHub Copilot

Reference 2023

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T18:29:46.519614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:29:46.012683Z digest=sha256:24129c6db8e8baac4a58b8298a45872f03e9e1302308e28087382cc5804af02a

Observation c013a73d-d800-497c-812b-727afca18406 · outbound

This paper cites What's DAT? Three Case Studies of Measuring Software Development Productivity at Meta With Diff Authoring Time.

The Impact of Generative AI on Code Expertise Models: An Exploratory Study What's DAT? Three Case Studies of Measuring Software Development Productivity at Meta With Diff Authoring Time

Reference 2025

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T18:29:46.842895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T18:29:43.123983Z digest=sha256:510184ef6a6efc51eed7c6412922d5b4ebaf1c4f42825b3f725be8ed1357e6af

Pith citing papers

No inbound Pith citation observations are available.