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Paper Citation Record · LEDGER

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code

As of 17 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.02808.

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

pith.paper-citation-record.v1
2607.02808 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T06:57:16.033336Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

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  • verified fuzzy0
  • unresolved37
  • parse uncertain0
  • malformed identifier0
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Outbound references

Observation cf2fde28-3079-484a-af7d-bbfbcca31e8d · outbound

This paper cites Pilkington and L.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Pilkington and L

Reference 1

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Observation 7eb67172-2710-4402-a104-7d1760211ccf · outbound

This paper cites an unresolved cited work.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Unresolved cited work

Reference 2

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Observation 38743495-46c0-466c-a894-4b47534ccf81 · outbound

This paper cites an unresolved cited work.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Unresolved cited work

Reference 3

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Observation 89f577ee-59b9-4476-bcdc-05bf2f707f86 · outbound

This paper cites Brooks and H.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Brooks and H

Reference 4

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Observation c96a15f7-f3e3-493b-b2b6-dca06f6a1368 · outbound

This paper cites Optimizing preventive service of software products,.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Optimizing preventive service of software products,

Reference 5

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:187fe6f84619b63ec9f5f5eb9db78ac268e061ac8953d3284f54c14c0332fc4b

Observation a55a262e-109e-49f1-98e0-1c7d66118fe6 · outbound

This paper cites Predicting the location and number of faults in large software systems,.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Predicting the location and number of faults in large software systems,

Reference 6

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Observation 03af390f-4299-498c-bc69-1d8bcacbfadd · outbound

This paper cites N-version programming: A fault-tolerance approach to reliability of software operation,.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code N-version programming: A fault-tolerance approach to reliability of software operation,

Reference 7

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Observation dac90c5f-9a04-4586-b5a6-a76393352fc1 · outbound

This paper cites Dependable computing and fault-tolerance,.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Dependable computing and fault-tolerance,

Reference 8

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:baaf341e101cf62f1149f19af24826b41eba4405db5072f5431ffe20c531d870

Observation e22bd42f-d9d2-4c17-a988-d90ac9eda0dc · outbound

This paper cites An experimental evaluation of the assumption of independence in multiversion programming,.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code An experimental evaluation of the assumption of independence in multiversion programming,

Reference 9

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:d94e278a858681fdaa0b5ee648dbe4ec000ae28578a705faafcbb1cd99b1194e

Observation 579bf841-7f82-4deb-9918-5f00a13611b4 · outbound

This paper cites N-version programming for railway interlocking systems: Synchronization and voting strategy,.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code N-version programming for railway interlocking systems: Synchronization and voting strategy,

Reference 10

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Observation 4e774bfb-800c-4063-8d4c-18bcfc4bf14d · outbound

This paper cites Highly available blockchain nodes with n-version design,.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Highly available blockchain nodes with n-version design,

Reference 11

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:c10c557dd841b3ae61d63a443439fa45f35ffcba5fa8ab92313288e4e88e2c19

Observation 79860fed-8c5b-4af8-a154-0b2e10597199 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Evaluating Large Language Models Trained on Code

Reference 12

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:df28b994b3a6d75d0f87148a8cf11e4f3bbd1796f5cc207e6b904383841b183d

Observation b514e18a-a0ed-41b1-a102-7df52ed8119a · outbound

This paper cites GPT-4 Technical Report.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code GPT-4 Technical Report

Reference 13

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:80cc4510a1d45008e86c54d2c5fbfe200c15d1231a75c58f921ac2bc0c416a5a

Observation 095b4c4d-abe1-488c-8285-1c70cdccfc8f · outbound

This paper cites Deepseek-r1 incentivizes reasoning in llms through reinforcement learning,.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Deepseek-r1 incentivizes reasoning in llms through reinforcement learning,

Reference 14

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:7bfd0e2a3e1e34c536d21bed69ebd3d467f4aeaeb8fbe352c925bbf428812f59

Observation 2da5c560-2336-41d4-9d70-4df82a148347 · outbound

This paper cites Beyond functional correctness: An empirical evaluation of large language models for text- to-code generation,.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Beyond functional correctness: An empirical evaluation of large language models for text- to-code generation,

Reference 15

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Observation c435fb00-5c02-450f-9c1e-4b04e4a45364 · outbound

This paper cites Emergent Abilities of Large Language Models.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Emergent Abilities of Large Language Models

Reference 16

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:c9e4769e7c2f093dd1720853f35860ae95d9bcff89a60c00f82481464df4dd5b

Observation 9a5c9f6c-9f6d-4437-9107-96fa614b1db5 · outbound

This paper cites Scaling Laws for Neural Language Models.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Scaling Laws for Neural Language Models

Reference 17

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:e5399f55c30b0a7a8923ecf8dabe1ffb87e295a8c91447e0bb109d4d9f819568

Observation 3762a575-ef9a-47eb-988d-927d69ca265a · outbound

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

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Competition- level code generation with alphacode,

Reference 18

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:6150fb1532e3e70f4e7c5976cabe146de42d8dc775ffb50714f295e988c12e6c

Observation 8c17c839-6b5b-4459-bf57-e9592861b9ef · outbound

This paper cites Program Synthesis with Large Language Models.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Program Synthesis with Large Language Models

Reference 19

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:9ed49ae78b56001d75f065e6a29792eac8778ebd2fa295563e36b93435872898

Observation 6b832986-19bf-47ae-b96a-55e1ce9c5cf3 · outbound

This paper cites Galapagos: Automated n-version programming with llms,.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Galapagos: Automated n-version programming with llms,

Reference 20

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:ca99742e49c4026d2c57c27c208b1bee9191e6485bee0ec922a7ac0854f0b8c3

Observation 125a097e-a280-48f3-9b3b-681c7db85325 · outbound

This paper cites Evaluating the diversity and quality of llm generated content,.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Evaluating the diversity and quality of llm generated content,

Reference 21

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:e5c83364267de0e74219972637d5b50248ce8a378291567d1a45ead6a22c9688

Observation cab6189c-d3aa-4b06-b43e-a3abc673ba84 · outbound

This paper cites Human-written vs. ai- generated code: A large-scale study of defects, vulnerabilities, and complexity,.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Human-written vs. ai- generated code: A large-scale study of defects, vulnerabilities, and complexity,

Reference 22

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:c24bb9ec6e75f6a3d74ca9e4bfcc7721d8619ed3c5d61cb9ad258fe9879c2ef2

Observation 0a12ae51-f18b-4849-84d4-40e9ac3c4ae7 · outbound

This paper cites System structure for software fault tolerance,.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code System structure for software fault tolerance,

Reference 23

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:1213fde81836c28ef66fbaba54711795a4712d1e01afc49227e37b32073ac690

Observation 01faa8e4-534c-48e9-a66b-e8cb6b06933b · outbound

This paper cites A survey of rollback-recovery protocols in message-passing systems,.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code A survey of rollback-recovery protocols in message-passing systems,

Reference 24

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:9930986d4c341150d603adb2962135c3858c62b8163658449082732050ae27e8

Observation 234a8745-eff4-45bc-b0cd-85a8fe4a38cb · outbound

This paper cites Exception handling and tolerance of software faults,.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Exception handling and tolerance of software faults,

Reference 25

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Observation 121bf915-025a-4b1b-a012-1fe4a4ced1a9 · outbound

This paper cites Analysis of faults in an n- version software experiment,.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Analysis of faults in an n- version software experiment,

Reference 26

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Observation bf2f77b5-8159-47d9-9e4e-4d8b5169d248 · outbound

This paper cites How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code

Reference 27

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:3d14a5b5ec48603ce7a34e39217a853b3d3cdea8132039156c25dc2779959bdc

Observation 0bcaf08a-9fd2-4cd7-a8b8-940576bb0e5b · outbound

This paper cites Multi-Programming Language Ensemble for Code Generation in Large Language Model.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Multi-Programming Language Ensemble for Code Generation in Large Language Model

Reference 28

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Observation 8aee76d5-5876-4588-8b5e-2bb949d3209d · outbound

This paper cites Can generative ai enhance the effectiveness of n-version programming?.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Can generative ai enhance the effectiveness of n-version programming?

Reference 29

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:d3e4f6aec2330d646b72df8d69e8af06dac21fdf573aeb71647febd06520e856

Observation 75198b5e-9a36-46da-bf1b-9b567dc7d2fd · outbound

This paper cites Language models are few-shot learners,.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Language models are few-shot learners,

Reference 30

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:1684dbc2a5d87022d3c2240d16c94d5821c1d611fbc22b230948c137340f5b31

Observation 4fec23fe-8487-40a1-a310-b70027a001cf · outbound

This paper cites Language Models are Few-Shot Learners.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Language Models are Few-Shot Learners

Reference 31

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:0d919230f44cc105646a0666f135560947547210f96ced9126ceebbbee35d0e2

Observation e5c44a5b-b5da-42d8-9a2e-764379709d4e · outbound

This paper cites CodeBLEU: a Method for Automatic Evaluation of Code Synthesis.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Reference 32

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:a209c92f5275b74b98c071a990d96215c04ea8b21cf2668c7ea64c2eae18f0c9

Observation eef87272-7ef1-4c9c-ae26-f050cab6cb27 · outbound

This paper cites an unresolved cited work.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Unresolved cited work

Reference 33

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:d488c65b780e29409b811ec9cd5de68ed676aaa84cc92d8ff5ba689d4a5e5b16

Observation 0d7fdd4a-ac0b-4f7e-9639-62d6ab3f29b2 · outbound

This paper cites Codenet: A large-scale ai for code dataset for learning a diversity of coding tasks,.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Codenet: A large-scale ai for code dataset for learning a diversity of coding tasks,

Reference 34

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:6cb0ec38a939730741ad2af374cb3d98a11d8ac87d44a0570b3490093b7a13b3

Observation 361d19de-d24a-45c0-b053-c1297e100eef · outbound

This paper cites CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Reference 35

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Observation 9b480f00-e774-49bd-ac76-45f1713ef76a · outbound

This paper cites AFL++ : Combining incremental steps of fuzzing research,.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code AFL++ : Combining incremental steps of fuzzing research,

Reference 36

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:3e502ad2168f16328e209dfbf67de534060d76b06491525c844e9013b1db0b95

Observation def425d3-0b78-4446-b94c-bfd8a01e067b · outbound

This paper cites CodeContests+: High-quality test case generation for competitive programming,.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code CodeContests+: High-quality test case generation for competitive programming,

Reference 37

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:fceb0294cee24bba77cb325dd5677abc01f36198999552d57e0709ef04f5566d

Observation b0d3771f-4d2b-4f1b-ada7-0520f73c92cf · outbound

This paper cites Cosmic ray: Mutation testing tool for python,.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Cosmic ray: Mutation testing tool for python,

Reference 38

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source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:1471ba3018a31630b91c2ef3b6ac52390c34b4e5b4ebb1e13bd14ec78bbf44e2

Observation 852c875c-ec07-420c-9c0b-7212bf67169e · outbound

This paper cites Python documentation,.

A Systematic Methodology for Evaluating Failure Independence in LLM-Generated Code Python documentation,

Reference 39

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unresolved
no resolver link, observed 2026-07-12T06:57:16.033336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:57:16.033336Z digest=sha256:58bc95129f448104a873453970da79ddef1fadb31e837c79406f5d1b38e6c7aa

Pith citing papers

No inbound Pith citation observations are available.