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Paper Citation Record · LEDGER

On Automated and Explainable Provenance of AI-Generated Code

As of 9 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2608.02329.

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

pith.paper-citation-record.v1
2608.02329 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:15:18.203380Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

35 of 35 outbound references displayed

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  • unresolved35
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  • malformed identifier0
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External citation measurements

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Outbound references

Observation ee0d2571-e125-4e8e-84ad-c7b2cc3b9f81 · outbound

This paper cites Taking Flight with Copilot: Early insights and opportunities of AI-powered pair-programming tools,.

On Automated and Explainable Provenance of AI-Generated Code Taking Flight with Copilot: Early insights and opportunities of AI-powered pair-programming tools,

Reference 1

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Observation 83128451-5a09-44b5-bf4d-89b41b06c209 · outbound

This paper cites A large-scale survey on the usability of ai programming assistants: Successes and challenges,.

On Automated and Explainable Provenance of AI-Generated Code A large-scale survey on the usability of ai programming assistants: Successes and challenges,

Reference 2

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source=pdf_text observed=2026-08-04T09:15:15.222279Z digest=sha256:16a8e2f4b355599aee8e09177cb9b0ed15e8e78d5cd1956494eea0b6c06a059f

Observation 08ca9b9e-7f81-48e4-9ea2-cf08e1b98923 · outbound

This paper cites Attribution problem of generative ai: a view from us copyright law,.

On Automated and Explainable Provenance of AI-Generated Code Attribution problem of generative ai: a view from us copyright law,

Reference 3

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source=pdf_text observed=2026-08-04T09:15:15.291449Z digest=sha256:c538be7cf5b7a3cef6775c270b5ffcda948ddd76d97433cd8b63db969d2c0ce8

Observation 556cca0f-c61b-41f6-ab5b-6408aa0ddbe2 · outbound

This paper cites Asleep at the keyboard? assessing the security of github copilot’s code contri- butions,.

On Automated and Explainable Provenance of AI-Generated Code Asleep at the keyboard? assessing the security of github copilot’s code contri- butions,

Reference 4

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source=pdf_text observed=2026-08-04T09:15:15.340566Z digest=sha256:3e59d94f21cc7ae9c3adae07fee4dc759d41191f099addd2cc77f87a4e7c03e7

Observation 72e95be9-5b84-44f4-a904-af6a94ab746a · outbound

This paper cites An empirical study of code smells in transformer-based code generation techniques,.

On Automated and Explainable Provenance of AI-Generated Code An empirical study of code smells in transformer-based code generation techniques,

Reference 5

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Observation 4f416731-be52-4e30-a591-39f0ef1cecfb · outbound

This paper cites Un- veiling memorization in code models,.

On Automated and Explainable Provenance of AI-Generated Code Un- veiling memorization in code models,

Reference 6

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source=pdf_text observed=2026-08-04T09:15:15.463267Z digest=sha256:94515050d2b895f227a5040bb1b5d2b9bdbd0a2ddac581bfe120ca2dc2210713

Observation fcb1b336-1635-48a2-90f6-d9829ddc9a5b · outbound

This paper cites DOE 1 et al. v. GitHub, Inc., et al.,.

On Automated and Explainable Provenance of AI-Generated Code DOE 1 et al. v. GitHub, Inc., et al.,

Reference 7

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Observation dbccca8c-9472-4218-9edb-20a575b9a95a · outbound

This paper cites Executive Order 14028, Improving the Nation’s Cybersecurity,.

On Automated and Explainable Provenance of AI-Generated Code Executive Order 14028, Improving the Nation’s Cybersecurity,

Reference 8

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Observation 592eb1d3-56bf-4c08-b5fd-01369b28f8e3 · outbound

This paper cites Regulation - 2024/2847 - EN - EUR-Lex.

On Automated and Explainable Provenance of AI-Generated Code Regulation - 2024/2847 - EN - EUR-Lex

Reference 9

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source=pdf_text observed=2026-08-04T09:15:15.696093Z digest=sha256:6207369b21c2f741120b0020e2b23a8154f5118edafed0364dd8fe83c7e810b4

Observation 0130642d-87ee-4bd3-8303-a81d44acf9d7 · outbound

This paper cites Talkin’ ’bout ai generation: Copyright and the generative-ai supply chain (the short version),.

On Automated and Explainable Provenance of AI-Generated Code Talkin’ ’bout ai generation: Copyright and the generative-ai supply chain (the short version),

Reference 10

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source=pdf_text observed=2026-08-04T09:15:15.768689Z digest=sha256:7025cd82c5402e92f61e6f3b44a14e34b6e0c4b665e1e89988fa33be3e510456

Observation b402816f-ec51-43f0-aad2-2166a5ae5a34 · outbound

This paper cites An empirical analysis of machine learning model and dataset documentation, supply chain, and licensing challenges on hugging face,.

On Automated and Explainable Provenance of AI-Generated Code An empirical analysis of machine learning model and dataset documentation, supply chain, and licensing challenges on hugging face,

Reference 11

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Observation 270e804b-0c52-4678-8b97-1bf4e59e19c0 · outbound

This paper cites Towards a rigorous science of interpretable machine learning,.

On Automated and Explainable Provenance of AI-Generated Code Towards a rigorous science of interpretable machine learning,

Reference 12

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Observation d17f672e-3d10-4eff-8e4d-ae8681116223 · outbound

This paper cites Data Authenticity, Consent, and Prove- nance for AI Are All Broken: What Will It Take to Fix Them?,.

On Automated and Explainable Provenance of AI-Generated Code Data Authenticity, Consent, and Prove- nance for AI Are All Broken: What Will It Take to Fix Them?,

Reference 13

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Observation b8ce187f-a1ca-4194-9766-5ccc98120310 · outbound

This paper cites Introducing Code Referencing for GitHub Copilot Chat in Visual Studio,.

On Automated and Explainable Provenance of AI-Generated Code Introducing Code Referencing for GitHub Copilot Chat in Visual Studio,

Reference 14

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Observation 5b26d478-fb02-4c37-a62f-b4e34294c26f · outbound

This paper cites Do llms provide links to code similar to what they generate? a study with gemini and bing copilot,.

On Automated and Explainable Provenance of AI-Generated Code Do llms provide links to code similar to what they generate? a study with gemini and bing copilot,

Reference 15

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source=pdf_text observed=2026-08-04T09:15:16.200668Z digest=sha256:aaca611b9302b3232f445a6e208ff9d103e907ab2e2a90dedb895c5cf2d44ee6

Observation e861040c-4c8b-4aaf-9345-aa0c1650e331 · outbound

This paper cites Automated and explainable provenance of ai-generated code.

On Automated and Explainable Provenance of AI-Generated Code Automated and explainable provenance of ai-generated code

Reference 16

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Observation fa5573ae-8741-4f87-b5f3-8388f2664905 · outbound

This paper cites Boms away! inside the minds of stakeholders: A comprehensive study of bills of materials for software systems,.

On Automated and Explainable Provenance of AI-Generated Code Boms away! inside the minds of stakeholders: A comprehensive study of bills of materials for software systems,

Reference 17

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source=pdf_text observed=2026-08-04T09:15:16.361808Z digest=sha256:6de08ee6de4a5f3ca15483845f08c3e8e4be119b6baa7ecad1ef7f614bc0a5b3

Observation 1a8873b8-82b6-4d79-929d-dc2514b0d15c · outbound

This paper cites Developer perspectives on licensing and copyright issues arising from generative ai for software development,.

On Automated and Explainable Provenance of AI-Generated Code Developer perspectives on licensing and copyright issues arising from generative ai for software development,

Reference 18

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source=pdf_text observed=2026-08-04T09:15:16.455937Z digest=sha256:a97f73473c71bcb7beb8e64b97217eb4166de0b0bd386a18a52b6e3dad4cca9c

Observation 65597fe4-0951-4d55-932d-fa04454d58c9 · outbound

This paper cites “the law doesn’t work like a computer.

On Automated and Explainable Provenance of AI-Generated Code “the law doesn’t work like a computer

Reference 19

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Observation 058390fb-2521-4488-8548-8ef4163bdc89 · outbound

This paper cites Determining the provenance of software artifacts,.

On Automated and Explainable Provenance of AI-Generated Code Determining the provenance of software artifacts,

Reference 20

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Observation 87ae8f6c-4840-4728-ac49-bab7fa64e7b7 · outbound

This paper cites Code siblings: Technical and legal implications of copying code between applications,.

On Automated and Explainable Provenance of AI-Generated Code Code siblings: Technical and legal implications of copying code between applications,

Reference 21

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Observation 6e19ae94-e0f9-459f-b4f6-20dce5c9a0a9 · outbound

This paper cites Source-Aware Training Enables Knowledge Attribution in Language Models.

On Automated and Explainable Provenance of AI-Generated Code Source-Aware Training Enables Knowledge Attribution in Language Models

Reference 22

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Observation e6330c69-e466-42e7-a9e6-e6d85460f874 · outbound

This paper cites Trained without my consent: Detecting code inclusion in language models trained on code,.

On Automated and Explainable Provenance of AI-Generated Code Trained without my consent: Detecting code inclusion in language models trained on code,

Reference 23

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Observation 28fb89a9-2fde-4a30-961f-a0639aaf3dde · outbound

This paper cites How propense are large language models at producing code smells? a benchmarking study,.

On Automated and Explainable Provenance of AI-Generated Code How propense are large language models at producing code smells? a benchmarking study,

Reference 24

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Observation a9dbfc74-0d67-4c8d-9cdb-2ea8e226889b · outbound

This paper cites A causal perspective on measuring, explaining and mitigating smells in llm-generated code,.

On Automated and Explainable Provenance of AI-Generated Code A causal perspective on measuring, explaining and mitigating smells in llm-generated code,

Reference 25

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Observation 4b57727a-b896-45dd-861d-aa6e29582a01 · outbound

This paper cites How do semantically equivalent code transformations impact membership inference on LLMs for code?,.

On Automated and Explainable Provenance of AI-Generated Code How do semantically equivalent code transformations impact membership inference on LLMs for code?,

Reference 26

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source=pdf_text observed=2026-08-04T09:15:17.244037Z digest=sha256:f8561cb1ae9bc6dffe50f00d5865937f91f1d08ece6b81fe738e9dfe882484af

Observation 6f39f924-b2a1-450e-bbb1-7059d028e937 · outbound

This paper cites Understand- ing privacy risks in code models through training dynamics: A causal approach,.

On Automated and Explainable Provenance of AI-Generated Code Understand- ing privacy risks in code models through training dynamics: A causal approach,

Reference 27

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Observation 8ed4df36-14a1-4ece-a815-e5da74c51a25 · outbound

This paper cites A unified approach to interpreting model predictions,.

On Automated and Explainable Provenance of AI-Generated Code A unified approach to interpreting model predictions,

Reference 28

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source=pdf_text observed=2026-08-04T09:15:17.383146Z digest=sha256:47bef8c4082759aff2bc4486d58f79fad88211aead9495ce6f3dd99a8b86b441

Observation d0ebc617-e286-41db-9d7e-6250e634988c · outbound

This paper cites Enabling Global, Human-Centered Explanations for LLMs:From Tokens to Interpretable Code and Test Generation,.

On Automated and Explainable Provenance of AI-Generated Code Enabling Global, Human-Centered Explanations for LLMs:From Tokens to Interpretable Code and Test Generation,

Reference 29

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Observation 0cbd3e39-740c-476d-ad13-b2405ba715d6 · outbound

This paper cites Rationales for sequential predictions,.

On Automated and Explainable Provenance of AI-Generated Code Rationales for sequential predictions,

Reference 30

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Observation 9c86d14a-9b90-41bb-b3a7-273742b04950 · outbound

This paper cites Membership inference attacks on machine learning: A survey,.

On Automated and Explainable Provenance of AI-Generated Code Membership inference attacks on machine learning: A survey,

Reference 31

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Observation 7cb9994c-a316-479d-8ac6-f0bb0aaec6bc · outbound

This paper cites Toward a Theory of Causation for Interpreting Neural Code Models ,.

On Automated and Explainable Provenance of AI-Generated Code Toward a Theory of Causation for Interpreting Neural Code Models ,

Reference 32

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Observation aacad7f0-16f9-4edd-8692-8dd1e8ce30d5 · outbound

This paper cites Decomposing a recurrent neural network into modules for enabling reusability and replacement,.

On Automated and Explainable Provenance of AI-Generated Code Decomposing a recurrent neural network into modules for enabling reusability and replacement,

Reference 33

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Observation 1ae09848-b30a-4f1f-88e5-981c94d13021 · outbound

This paper cites Towards monosemanticity: Decomposing language mod- els with dictionary learning,.

On Automated and Explainable Provenance of AI-Generated Code Towards monosemanticity: Decomposing language mod- els with dictionary learning,

Reference 34

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Observation 2f7695d8-d3b4-4278-a0d1-cb9ecb131d6e · outbound

This paper cites Locating and editing factual associations in gpt,.

On Automated and Explainable Provenance of AI-Generated Code Locating and editing factual associations in gpt,

Reference 35

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Pith citing papers

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