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Paper Citation Record · LEDGER

The Patchwork Problem in LLM-Generated Code

As of 7 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 2026-08-07T06:34:17.273281+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

No source-named external measurement is stored.

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=sha256:1cf96f968b9317753725f049def055ca2eeeba9d4e0d4323182811240d57e1f6

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:cac342a08521fce04e66639778271169e828feda1dbd464f24f8d9cbb2a8ec43

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:b02620bb8f41aa0f6a935ae4714da5defeba0343f040e711a421fb40422aa479

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=sha256:751c3843a59589d427733b2bbb883491417d591b650aac524f26181d57dafe21

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:fbaa8b1cd9efb49ff490838207eae10c4b963f03d24eab521ab725e4bc7200c5

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=sha256:392057b996fb46e62fb3bcc3cf2d404eb28195280901ae4afd92fe8c0f8e65c1

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:a4e0c7c094dbc60dff4ed832246743b3aaf3b78a9553f4c10080291d09996565

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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source=pdf_text observed=2026-07-13T01:16:30.101870Z digest=sha256:7ccb705b38dc9480dc710788c052e96ec02920922b42c75dee9e8dcc9225616e

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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source=pdf_text observed=2026-07-13T01:16:30.101870Z digest=sha256:b019a4694a822c50527f1eed762394c596d94b11f22977ef6247d1aace9f3516

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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source=pdf_text observed=2026-07-13T01:16:30.101870Z digest=sha256:dab062ed4c31de45839c0ae2177b0196ff4d1174c063fe6665551bd5c3cc160b

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=sha256:4326d0c98988877c2f0963d518682d50cbeee23c64167dbe8258b1fa05e44c1e

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=sha256:545282abea2d2ac69e46585b8ea05a636dbf9a9af8172fb506cd0e1fb7fa6eed

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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source=pdf_text observed=2026-07-13T01:16:30.101870Z digest=sha256:6ab6fc6f4147d28e48c8d8a1e401c4f06ffd9a6fab1bb3dace432ebd169d9ca2

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=sha256:706a98a4e291af772447a80ab8b442735d2a129e2aca64b980b7eeb4e0851fd6

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:f39139719467b5de8bf39f942dcb4662b09dc42f60eca70eb9eb7563e9cd8a52

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=sha256:89e15e594ddb16bddd6a0c4e34971c9b893aa63d98f482111081aadca5edecf2

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=sha256:5ba25bd5b5c606354b44cc5184b0d5187f7c6cdb596024f7e2d48f8e78fa359e

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:e661d122e65783e615a0e4fb1ab0062cbad585539fe68adc2097155c317f05dc

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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source=pdf_text observed=2026-07-13T01:16:30.101870Z digest=sha256:707074dbb99864f92d6b1949b9dc0fd3a1a7b81616495bfc4b82c3f8095979b6

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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Pith citing papers

No inbound Pith citation observations are available.