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Paper Citation Record · LEDGER

GoodVibe: Security-by-Vibe for LLM-Based Code Generation

As of 7 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2602.10778.

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

pith.paper-citation-record.v1
2602.10778 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T01:03:29.139102Z

measured 38 of 38 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

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3f1e2f6b-e948-4686-bba6-979c9f4aeb3b · outbound

This paper cites Application of large language models to software engineering tasks: Opportunities, risks, and implications,.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Application of large language models to software engineering tasks: Opportunities, risks, and implications,

Reference 1

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source=pdf_text observed=2026-08-03T01:03:26.153888Z digest=sha256:35c5b2b2ddbe893f2d9999651fae7cb1e36e5c2aefb6b06e1b2957853b6c6e8e

Observation d72b9053-b364-41ce-ad5b-340ecf2e3f24 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Evaluating Large Language Models Trained on Code

Reference 2

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source=pdf_text observed=2026-08-03T01:03:26.217999Z digest=sha256:7fd3f119e57b255008aad05d6e4d2f1fa34c4eb7c89e32d149d84c8be32decbe

Observation d5d28d0f-2d1b-475e-a965-145fdcc9e6ac · outbound

This paper cites Gemini Code Assist: AI-first coding in your natural language,.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Gemini Code Assist: AI-first coding in your natural language,

Reference 3

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Observation 490cfef5-90b5-4d85-bbcd-8b8640444215 · outbound

This paper cites Survey reveals AI’s impact on the developer experience,.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Survey reveals AI’s impact on the developer experience,

Reference 4

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source=pdf_text observed=2026-08-03T01:03:26.293563Z digest=sha256:fcf7bbc19e5fcba6ccd4d3ac1fecb6d3dceb759630371ddb2423a934f021cd2e

Observation 5edbc6fd-3f41-49ba-9108-121e42718fcc · outbound

This paper cites A review on vibe coding: Fundamentals, state- of-the-art, challenges and future directions,.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation A review on vibe coding: Fundamentals, state- of-the-art, challenges and future directions,

Reference 5

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source=pdf_text observed=2026-08-03T01:03:26.351285Z digest=sha256:2fc9be7627b7327902419b3c65b7f99800d7420ed7217c17f18fadfe111640cb

Observation 9502989b-12f2-4144-ac93-ca7cecefda9d · outbound

This paper cites Is vibe coding safe? benchmarking vulnerability of agent- generated code in real-world tasks,.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Is vibe coding safe? benchmarking vulnerability of agent- generated code in real-world tasks,

Reference 6

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source=pdf_text observed=2026-08-03T01:03:26.396448Z digest=sha256:a01ed0b9d525975d3d1f8df755f7a02a3204c3490427a1418df0333dff106287

Observation 0562fc57-c92f-46b7-b911-adb9a757aea7 · outbound

This paper cites Security vulnerabilities in ai- generated code: A large-scale analysis of public github repositories,.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Security vulnerabilities in ai- generated code: A large-scale analysis of public github repositories,

Reference 7

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source=pdf_text observed=2026-08-03T01:03:26.445892Z digest=sha256:8077c69c5592b9d85437cf92e4a4ce3c282f640ca8f3d58298f2fb69e62d4336

Observation bbe6dc60-383c-402f-af14-2fddbcdcc640 · outbound

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

GoodVibe: Security-by-Vibe for LLM-Based Code Generation We have a package for you! a com- prehensive analysis of package hallucinations by code generating {LLMs},

Reference 8

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source=pdf_text observed=2026-08-03T01:03:26.503533Z digest=sha256:5392b57ac7241ce5f6d94c4b626fdb732b66fc25321bf139f9e4de444ed2224f

Observation 10786c9f-cd34-477f-861b-0e759117a34b · outbound

This paper cites Large language models for code: Security hardening and adversarial testing,.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Large language models for code: Security hardening and adversarial testing,

Reference 9

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Observation 037ea091-0649-4a7c-ba1f-5021986dde67 · outbound

This paper cites Instruction Tuning for Secure Code Generation.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Instruction Tuning for Secure Code Generation

Reference 10

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source=pdf_text observed=2026-08-03T01:03:26.558953Z digest=sha256:277fb806b914f131ae6b9bf36dd263c63b7947d238f76eb9a6a962c53231c7a9

Observation 1ed04bff-1592-4333-bb14-6df82440f5cb · outbound

This paper cites Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!

Reference 11

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Observation 77055b1c-9165-4323-86fb-3ac7ba744bfd · outbound

This paper cites Lora: Low-rank adaptation of large language models.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Lora: Low-rank adaptation of large language models

Reference 12

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Observation 9b4109f2-ec25-4845-af31-916234a40a3d · outbound

This paper cites Parameter- efficient fine-tuning of large-scale pre-trained language models,.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Parameter- efficient fine-tuning of large-scale pre-trained language models,

Reference 13

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Observation 76134f01-aef0-4ca4-8938-ea11e55f4694 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Code Llama: Open Foundation Models for Code

Reference 14

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source=pdf_text observed=2026-08-03T01:03:26.799474Z digest=sha256:513c420f7cae1dce1f185c2202967740b37ddb580a34935b5fccc84a0d845d12

Observation dcde22f4-f513-41ea-ae3d-9ed7a72c64bf · outbound

This paper cites Parameter-efficient fine-tuning methods for pretrained language models: A critical review and assessment,.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Parameter-efficient fine-tuning methods for pretrained language models: A critical review and assessment,

Reference 15

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source=pdf_text observed=2026-08-03T01:03:26.832220Z digest=sha256:15fd9b8395eee76cace49e7f4156339efacf7736e3be339c6611d31941d34c16

Observation ead16b97-e24b-4886-99e8-399c4f0b41f7 · outbound

This paper cites Parameter-Efficient Fine-Tuning for Foundation Models.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Parameter-Efficient Fine-Tuning for Foundation Models

Reference 16

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source=pdf_text observed=2026-08-03T01:03:26.865933Z digest=sha256:89f1cca2915ee0b5711553d2239e3bd33e396790b33f3efcbd700cacb391363b

Observation 5946f8f6-1aa6-4fe9-ab79-27a10a1bbf5a · outbound

This paper cites A mathematical framework for transformer circuits,.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation A mathematical framework for transformer circuits,

Reference 17

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source=pdf_text observed=2026-08-03T01:03:26.927413Z digest=sha256:c09c3954521d115ec6e29f865e799e13b3a134270205972b64fddc4dde9adc3e

Observation 2cd21833-85a4-43bb-9bac-ae512a433715 · outbound

This paper cites Qwen3 Technical Report.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Qwen3 Technical Report

Reference 18

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Observation 3da79648-f267-4e02-89ba-182736ee5f3c · outbound

This paper cites A survey on llm-as-a- judge,.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation A survey on llm-as-a- judge,

Reference 19

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source=pdf_text observed=2026-08-03T01:03:27.046213Z digest=sha256:52cce34dda79f1e2cd8370e46e390a84b9dcf95e707aae08df7dfdd15ea8af06

Observation 3ce46035-df0e-4376-8c86-4f52cede3576 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 20

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Observation 2af4969f-42a3-4df2-add1-534f16927664 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Training Verifiers to Solve Math Word Problems

Reference 21

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source=pdf_text observed=2026-08-03T01:03:27.162810Z digest=sha256:91526679d2900a09766fd28996c8a953485f37ed985753fb607c6c492cbf5863

Observation 2fa40ce2-5acb-4b9d-81bc-fad8f4083f07 · outbound

This paper cites Measuring massive mul- titask language understanding,.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Measuring massive mul- titask language understanding,

Reference 22

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source=pdf_text observed=2026-08-03T01:03:27.223708Z digest=sha256:6e2170a099822a81b3865fb0790253289799a7200cbfba8806eab0613814a964

Observation fa2e3480-9e50-4d3d-b9b9-a78a38e5785d · outbound

This paper cites The llama 3 herd of models,.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation The llama 3 herd of models,

Reference 23

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source=pdf_text observed=2026-08-03T01:03:27.255169Z digest=sha256:32c3d8a4e6675fc4a8ce9344e8d7b9173c90394e0bf0e9fad4bdb8abb7d325d5

Observation 997a726e-51d9-4013-ae37-4277599376fa · outbound

This paper cites Gemma 3 Technical Report.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Gemma 3 Technical Report

Reference 24

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source=pdf_text observed=2026-08-03T01:03:27.326400Z digest=sha256:9117480238749e0fb95d88dfdb5a6f3c694dd31df166f25b308658ea7c169b3a

Observation e5e61285-b326-4f5b-8604-0586c7c9fe42 · outbound

This paper cites Cybernative.ai code vulnerabil- ity and security dataset,.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Cybernative.ai code vulnerabil- ity and security dataset,

Reference 25

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source=pdf_text observed=2026-08-03T01:03:27.500936Z digest=sha256:ebe090eb16265785463cb1b2c907d971988b0eedc1f646e1ad57b0f2699b36b7

Observation cf6b20d3-a2b8-474b-b2f1-b9abd6cdc521 · outbound

This paper cites Learning from mistakes: a comprehensive study on real world concur- rency bug characteristics,.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Learning from mistakes: a comprehensive study on real world concur- rency bug characteristics,

Reference 26

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source=pdf_text observed=2026-08-03T01:03:27.616984Z digest=sha256:b443cb8a4453f8bba0e999a42c4fab9c7b51ea8d6baded12f0a84617af3839d6

Observation 0e07cc92-27b5-46d7-bdda-2c1f126a39d5 · outbound

This paper cites Sok: Eter- nal war in memory,.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Sok: Eter- nal war in memory,

Reference 27

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Observation 7ec5c137-2148-4b1e-81e4-5da2e0ae3b1f · outbound

This paper cites A survey of mobile malware in the wild,.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation A survey of mobile malware in the wild,

Reference 28

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source=pdf_text observed=2026-08-03T01:03:27.802316Z digest=sha256:f3110e24ec9098713e0d272ad855103a1645a6666fb1f31c3638ec4fab7a4ea9

Observation 3d0e9292-899b-4943-a313-442b1bdc5fc3 · outbound

This paper cites Flowdroid: Precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for android apps,.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Flowdroid: Precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for android apps,

Reference 29

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source=pdf_text observed=2026-08-03T01:03:27.954268Z digest=sha256:0766b7a5c5253ca2991d7ea541e40fcc4005b10ad394411dda632c55ef8b692e

Observation 05abea8d-e50b-41c8-97f6-31c40d0436e9 · outbound

This paper cites TwinBreak: Jailbreaking LLM Security Alignments based on Twin Prompts.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation TwinBreak: Jailbreaking LLM Security Alignments based on Twin Prompts

Reference 30

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source=pdf_text observed=2026-08-03T01:03:28.012736Z digest=sha256:634e2fd88b70e4d4feea2e19b58dae4d7c8ff80e63c58fdd4bccc3cda038fa70

Observation b937da33-e5ca-47f6-ace3-2c80ab97f7fc · outbound

This paper cites Neurostrike: Neuron-level attacks on aligned llms,.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Neurostrike: Neuron-level attacks on aligned llms,

Reference 31

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source=pdf_text observed=2026-08-03T01:03:28.099609Z digest=sha256:1da0fc9e97e5efee7f54f39255b8995d76ac4c33a0c82cbf766353f9bbeca1d0

Observation 78a06eb3-7ae3-4237-87fd-b38ff6065027 · outbound

This paper cites An empiri- cal study of the copy and paste behavior during devel- opment,.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation An empiri- cal study of the copy and paste behavior during devel- opment,

Reference 32

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source=pdf_text observed=2026-08-03T01:03:28.212216Z digest=sha256:1d2cf590540a3a2701c5f701821add8a7821544c32733c93151d4903e0bb7391

Observation 716d5d5c-a079-44fd-8c2a-2c30eeabba69 · outbound

This paper cites Secure-instruct: An automated pipeline for synthesizing instruction-tuning datasets using llms for secure code generation,.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Secure-instruct: An automated pipeline for synthesizing instruction-tuning datasets using llms for secure code generation,

Reference 33

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source=pdf_text observed=2026-08-03T01:03:28.333454Z digest=sha256:5cfbdfbceee9d4d9c91a8bfdd866cf384d2c4da59ca83f9da525c6739cc80f8b

Observation 8322e328-448e-46be-b103-7c8b10b8dec6 · outbound

This paper cites HexaCoder: Secure Code Generation via Oracle-Guided Synthetic Training Data.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation HexaCoder: Secure Code Generation via Oracle-Guided Synthetic Training Data

Reference 34

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source=pdf_text observed=2026-08-03T01:03:28.545990Z digest=sha256:5ec289f37f9eb6ef5878db6169be07a7c402849ac1a784c1c99971e3790cbe02

Observation 617080bc-c755-4596-9f65-4b78caf03d48 · outbound

This paper cites Prom- sec: Prompt optimization for secure generation of func- tional source code with large language models (llms),.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Prom- sec: Prompt optimization for secure generation of func- tional source code with large language models (llms),

Reference 35

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source=pdf_text observed=2026-08-03T01:03:28.719125Z digest=sha256:f23dfb0fc501fa5e0edbeaac15d74ce63e3c8f8c0345602560ae20fccc5b81cf

Observation 6482bb64-758d-4bec-92a2-69db7e34d6ab · outbound

This paper cites Sgcode: A flex- ible prompt-optimizing system for secure generation of code,.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation Sgcode: A flex- ible prompt-optimizing system for secure generation of code,

Reference 36

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source=pdf_text observed=2026-08-03T01:03:28.892913Z digest=sha256:c7dbd5a68e3560ffef6632bf32f56dfde1614494fb2e87c9b8777d4074402930

Observation bd22b598-4887-422f-bb0c-60153f2692d6 · outbound

This paper cites SecCoder: Towards Generalizable and Robust Secure Code Generation.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation SecCoder: Towards Generalizable and Robust Secure Code Generation

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites The menlo report,.

GoodVibe: Security-by-Vibe for LLM-Based Code Generation The menlo report,

Reference 38

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