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Paper Citation Record · LEDGER

The Patchwork Problem in LLM-Generated Code

As of 9 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.08981.

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

pith.paper-citation-record.v1
2607.08981 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T01:16:30.101870Z

measured 28 of 28 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

28 of 28 outbound references displayed

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External citation measurements

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Outbound references

Observation 289eacb3-8ed6-4721-831a-d42512911947 · outbound

This paper cites A survey on large language models for code generation,.

The Patchwork Problem in LLM-Generated Code A survey on large language models for code generation,

Reference 1

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source=pdf_text observed=2026-07-13T01:16:30.101870Z digest=sha256:24c99cef88a58888a62794b5f16b769161c34def17cb63a1e59c0f27837a7789

Observation 7bd9edad-0ce6-4037-85fd-5295bc488c29 · outbound

This paper cites Evaluating large language models trained on code,.

The Patchwork Problem in LLM-Generated Code Evaluating large language models trained on code,

Reference 2

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source=pdf_text observed=2026-07-13T01:16:30.101870Z digest=sha256:b9fe9990b333004a0358480cf8521af7d9d9537f2e38157dc0bbe46ed76dc189

Observation 3437f723-f89d-435d-adc7-ced645ffe349 · outbound

This paper cites Competition-level code generation with alphacode,.

The Patchwork Problem in LLM-Generated Code Competition-level code generation with alphacode,

Reference 3

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source=pdf_text observed=2026-07-13T01:16:30.101870Z digest=sha256:d242caa836b6a0ffcae771fc6a435077aa72aa95ca11058f13370876469ce620

Observation 6050a756-7a10-4d2c-8ddc-3a0f4b235965 · outbound

This paper cites Program synthesis with large language models,.

The Patchwork Problem in LLM-Generated Code Program synthesis with large language models,

Reference 4

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Observation fb007a77-e53b-47b5-9f75-ddf3fcdc2444 · outbound

This paper cites SWE-bench: Can language models resolve real-world github issues?,.

The Patchwork Problem in LLM-Generated Code SWE-bench: Can language models resolve real-world github issues?,

Reference 5

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source=pdf_text observed=2026-07-13T01:16:30.101870Z digest=sha256:47ae2477c3945cf366631ca895542e79195ab73f86df60f235db27361780cc44

Observation 5b33f33c-3ce6-4b44-8b36-0b80dcc2cb88 · outbound

This paper cites Llm hallucinations in practical code generation: Phenomena, mechanism, and mitigation,.

The Patchwork Problem in LLM-Generated Code Llm hallucinations in practical code generation: Phenomena, mechanism, and mitigation,

Reference 6

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source=pdf_text observed=2026-07-13T01:16:30.101870Z digest=sha256:e91978c2fbfdcaba3aecef5edd98331d526dfcee4dc3bfc51fb9bd35f3452afe

Observation 5d38171f-2da6-4eea-adf4-8a0cf0e068ef · outbound

This paper cites Repobench: Benchmarking repository-level code auto-completion systems,.

The Patchwork Problem in LLM-Generated Code Repobench: Benchmarking repository-level code auto-completion systems,

Reference 7

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source=pdf_text observed=2026-07-13T01:16:30.101870Z digest=sha256:d2a5aa88fc2f055eee3563e74cedcdc6425bc48c74698968766cae4903b87310

Observation 87b5f09f-0e47-4413-83d6-228f9c1d43c5 · outbound

This paper cites Modeling and discovering vulnerabilities with code property graphs,.

The Patchwork Problem in LLM-Generated Code Modeling and discovering vulnerabilities with code property graphs,

Reference 8

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source=pdf_text observed=2026-07-13T01:16:30.101870Z digest=sha256:e03632e79bf5d513dae191e89b7330041849fac10fd526c93f4735899483c5e6

Observation 50c695af-1fe1-462c-a8f4-46f9beda16bf · outbound

This paper cites We have a package for you! a comprehensive analysis of package hallucinations by code generating {LLMs},.

The Patchwork Problem in LLM-Generated Code We have a package for you! a comprehensive analysis of package hallucinations by code generating {LLMs},

Reference 9

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Observation afb8720a-e98a-489d-8482-8054e1a4511e · outbound

This paper cites Evocodebench: An evolving code generation benchmark aligned with real-world code repositories,.

The Patchwork Problem in LLM-Generated Code Evocodebench: An evolving code generation benchmark aligned with real-world code repositories,

Reference 10

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Observation be442516-8129-4339-b182-5e854e3b54a2 · outbound

This paper cites Baxbench: Can LLMs generate correct and secure backends?,.

The Patchwork Problem in LLM-Generated Code Baxbench: Can LLMs generate correct and secure backends?,

Reference 11

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Observation b77942e2-015e-4de7-bc84-0680b9121df6 · outbound

This paper cites Secrepobench: Benchmarking code agents for secure code completion in real-world repositories,.

The Patchwork Problem in LLM-Generated Code Secrepobench: Benchmarking code agents for secure code completion in real-world repositories,

Reference 12

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source=pdf_text observed=2026-07-13T01:16:30.101870Z digest=sha256:dbc02d5a2fed175849a6b5baf233e4fdb4dc097d82aad7c00dddbbefca209c63

Observation 82309b7a-8ecd-4534-8c3d-ded6baebd49a · outbound

This paper cites SecureVibeBench: Benchmarking secure vibe coding of AI agents via reconstructing vulnerability-introducing scenarios,.

The Patchwork Problem in LLM-Generated Code SecureVibeBench: Benchmarking secure vibe coding of AI agents via reconstructing vulnerability-introducing scenarios,

Reference 13

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source=pdf_text observed=2026-07-13T01:16:30.101870Z digest=sha256:ad949e7e3a429b73b56e30d24f21a5e9c363c5e20cc907d79a2370a082b9a645

Observation d2800cc4-b023-4a0e-a8b6-8216b60d6408 · outbound

This paper cites Swe-agent: Agent-computer interfaces enable automated software engineering,.

The Patchwork Problem in LLM-Generated Code Swe-agent: Agent-computer interfaces enable automated software engineering,

Reference 14

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Observation 00d5ab22-528a-4095-a922-f54cb4cfae3b · outbound

This paper cites Code-mvp: Learning to represent source code from multiple views with contrastive pre-training,.

The Patchwork Problem in LLM-Generated Code Code-mvp: Learning to represent source code from multiple views with contrastive pre-training,

Reference 15

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source=pdf_text observed=2026-07-13T01:16:30.101870Z digest=sha256:4a53c25be37273a4df3ff2b88d4593f23a29eceab6195448bd1fd8b5f993554e

Observation d2e6ecdf-30d3-465d-b35f-91f6d20728a3 · outbound

This paper cites Galla: Graph aligned large language models for improved source code understanding,.

The Patchwork Problem in LLM-Generated Code Galla: Graph aligned large language models for improved source code understanding,

Reference 16

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source=pdf_text observed=2026-07-13T01:16:30.101870Z digest=sha256:145f9882008fa68c263ce56ff059dacd0cdd07d61cb8691e0dbd408a5b3e374c

Observation 8886a9f3-b9c2-4b57-9c6b-80ffd84622c5 · outbound

This paper cites Constrained decoding for secure code generation,.

The Patchwork Problem in LLM-Generated Code Constrained decoding for secure code generation,

Reference 17

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source=pdf_text observed=2026-07-13T01:16:30.101870Z digest=sha256:f81573024a0481020e66e93b2bff7709c765dd3c3e2a85634fef60f42f00a488

Observation c8762db4-355e-454e-90e2-635ce74067b8 · outbound

This paper cites SafeGenBench: A Benchmark Framework for Security Vulnerability Detection in LLM-Generated Code.

The Patchwork Problem in LLM-Generated Code SafeGenBench: A Benchmark Framework for Security Vulnerability Detection in LLM-Generated Code

Reference 18

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Observation bd14d1a0-689f-4328-b5fa-f423941cbce6 · outbound

This paper cites Source code of the paper: The patchwork problem in llm-generated code.

The Patchwork Problem in LLM-Generated Code Source code of the paper: The patchwork problem in llm-generated code

Reference 19

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Observation c0ac3b76-5268-40ef-98eb-6a0e696fb84e · outbound

This paper cites hypertropher-app.

The Patchwork Problem in LLM-Generated Code hypertropher-app

Reference 20

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Observation 9b372234-749d-4431-a3fe-f0a6b0942929 · outbound

This paper cites VoiceTradeWithSchwab.

The Patchwork Problem in LLM-Generated Code VoiceTradeWithSchwab

Reference 21

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Observation f61f9b4a-57ac-433e-b7c2-e22269ba06bc · outbound

This paper cites Django: The web framework for perfectionists with deadlines.

The Patchwork Problem in LLM-Generated Code Django: The web framework for perfectionists with deadlines

Reference 22

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source=pdf_text observed=2026-07-13T01:16:30.101870Z digest=sha256:0c8028e8b9b22c1a48d16d88d46cac76d379e942dfca452d72280c7db7b99b59

Observation e84b25c9-4cb6-45d0-9025-f619df9d57e6 · outbound

This paper cites FastAPI: Modern, fast (high-performance) web framework for building APIs 10 with Python.

The Patchwork Problem in LLM-Generated Code FastAPI: Modern, fast (high-performance) web framework for building APIs 10 with Python

Reference 23

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source=pdf_text observed=2026-07-13T01:16:30.101870Z digest=sha256:51a6f67f720a3578935470946523f58f2e88d3b5075c729c10df634c1203e147

Observation a92cf87a-d855-4191-9cdd-a744d9044726 · outbound

This paper cites Express: Fast, unopinionated, minimalist web framework for Node.js.

The Patchwork Problem in LLM-Generated Code Express: Fast, unopinionated, minimalist web framework for Node.js

Reference 24

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Observation 3609627d-b8f9-41f7-b42f-e031eeb5bb6a · outbound

This paper cites Next.js: The React framework for the web.

The Patchwork Problem in LLM-Generated Code Next.js: The React framework for the web

Reference 25

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Observation e91525d2-056a-4ad1-9924-25d8b40788e3 · outbound

This paper cites mypy: Optional static typing for Python.

The Patchwork Problem in LLM-Generated Code mypy: Optional static typing for Python

Reference 26

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Observation 0958aaee-a868-47cc-abfa-0e65086de1d5 · outbound

This paper cites Bandit: A tool designed to find common security issues in Python code.

The Patchwork Problem in LLM-Generated Code Bandit: A tool designed to find common security issues in Python code

Reference 27

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Observation 6291fe42-e1d4-407e-aee0-5420129928c9 · outbound

This paper cites Semgrep: Lightweight static analysis for many languages.

The Patchwork Problem in LLM-Generated Code Semgrep: Lightweight static analysis for many languages

Reference 28

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source=pdf_text observed=2026-07-13T01:16:30.101870Z digest=sha256:193992639982c9717f10c4393a985524dfda7b3e191b2c351d27b4f8976336bb

Pith citing papers

No inbound Pith citation observations are available.