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Paper Citation Record · LEDGER

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation

As of 23 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 2 inbound Pith citation observations for arXiv:2511.14224.

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

pith.paper-citation-record.v1
2511.14224 v3

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T21:41:46.803788Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T04:41:25.415066Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

62 of 62 outbound references displayed

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  • parse uncertain1
  • malformed identifier0
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External citation measurements

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Outbound references

Observation b66d355f-c288-421d-856c-5bc523a73be7 · outbound

This paper cites Insights into regression testing (software testing),.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Insights into regression testing (software testing),

Reference 1

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Observation 3b5949f2-b3c2-4664-94cf-87163e7f2e81 · outbound

This paper cites A survey of unit testing practices,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation A survey of unit testing practices,

Reference 2

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Observation e283322d-5c76-4d22-bc2a-2a87ee0d499c · outbound

This paper cites A survey on unit testing practices and problems,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation A survey on unit testing practices and problems,

Reference 3

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Observation 6890cd20-ba9e-4692-8288-61a3d36462ae · outbound

This paper cites The oracle problem in software testing: A survey,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation The oracle problem in software testing: A survey,

Reference 4

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Observation c355db89-c390-4682-b358-a4b293f3c362 · outbound

This paper cites A large-scale evaluation of automated unit test genera- tion using evosuite,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation A large-scale evaluation of automated unit test genera- tion using evosuite,

Reference 5

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Observation 3eaae228-e1ba-46f5-9e3e-2ae61eaf4f47 · outbound

This paper cites A theoretical and empirical study of search-based testing: Local, global, and hybrid search,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation A theoretical and empirical study of search-based testing: Local, global, and hybrid search,

Reference 6

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Observation f5977754-0662-4d38-b49e-caff57badd85 · outbound

This paper cites Call me maybe: Using nlp to automatically generate unit test cases respecting temporal constraints,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Call me maybe: Using nlp to automatically generate unit test cases respecting temporal constraints,

Reference 7

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Observation 3a7b0a47-dbba-4a5a-b3de-76c51153e5a3 · outbound

This paper cites Interevo-tr: Interactive evolutionary test generation with readability assessment,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Interevo-tr: Interactive evolutionary test generation with readability assessment,

Reference 8

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Observation 67b71a98-90d4-4842-a0d8-73f44584fd1d · outbound

This paper cites The daikon system for dynamic detection of likely invariants,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation The daikon system for dynamic detection of likely invariants,

Reference 9

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Observation c2eee221-e955-4815-ad40-d68b2634c19f · outbound

This paper cites Dysy: Dynamic symbolic execution for invariant inference,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Dysy: Dynamic symbolic execution for invariant inference,

Reference 10

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Observation 45b7473a-cd27-4d44-8872-84435af02031 · outbound

This paper cites Characteristic studies of loop problems for structural test generation via symbolic execution,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Characteristic studies of loop problems for structural test generation via symbolic execution,

Reference 11

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Observation 22dc6d2f-bac1-4838-a717-1fc38f69000a · outbound

This paper cites The fuzzing book,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation The fuzzing book,

Reference 12

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Observation e1294f6a-b4d2-401b-95ea-ed5105baf44a · outbound

This paper cites Feedback-directed random test generation,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Feedback-directed random test generation,

Reference 13

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Observation 8b4d796c-6995-4278-900d-b82ee61b239d · outbound

This paper cites An industrial evaluation of unit test generation: Finding real faults in a financial application,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation An industrial evaluation of unit test generation: Finding real faults in a financial application,

Reference 14

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Observation 0a01244f-5323-4eb7-bb47-b021e0dc8851 · outbound

This paper cites Ktester,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Ktester,

Reference 15

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Observation 91b19299-7974-4f84-8a9c-6c4204cb2489 · outbound

This paper cites Control flow analysis,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Control flow analysis,

Reference 16

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Observation 62a13bdb-56c3-468f-ad99-a432f605b887 · outbound

This paper cites http://javaparser.org/,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation http://javaparser.org/,

Reference 17

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Observation 691a18fb-66e1-4846-b3cf-5b0b517df31e · outbound

This paper cites https://spoon.gforge.inria.fr/about.html,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation https://spoon.gforge.inria.fr/about.html,

Reference 18

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Observation 363146bb-cec4-4801-8e9f-63a470664389 · outbound

This paper cites ChatUniTest: A Framework for LLM-Based Test Generation,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation ChatUniTest: A Framework for LLM-Based Test Generation,

Reference 19

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Observation 1d9741c2-06ff-49db-a28d-552d4f2dec58 · outbound

This paper cites HITS: High-coverage LLM-based Unit Test Generation via Method Slicing,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation HITS: High-coverage LLM-based Unit Test Generation via Method Slicing,

Reference 20

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Observation 2b30dc01-b0a2-47ed-bfd9-e0afec07bc11 · outbound

This paper cites Lois de distribution florale dans la zone alpine,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Lois de distribution florale dans la zone alpine,

Reference 21

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Observation 3996324d-aa23-46b9-81e2-2785dc90ff39 · outbound

This paper cites Evaluating and improving chatgpt for unit test generation,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Evaluating and improving chatgpt for unit test generation,

Reference 22

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Observation 71fe82b5-3db3-4d16-9e73-542717644dc9 · outbound

This paper cites https://github.com/zju-aces-ise/chatunitest-maven-plugin,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation https://github.com/zju-aces-ise/chatunitest-maven-plugin,

Reference 23

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Observation 0d91d2f9-c5b0-4d1e-8e48-e78c8f42f0bd · outbound

This paper cites https://platform.openai.com,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation https://platform.openai.com,

Reference 24

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Observation 4783b893-60b3-40bf-ba5d-37297212f931 · outbound

This paper cites Deljouyi, R.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Deljouyi, R

Reference 25

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Observation 3287a644-ed3c-48db-a35c-fcca96fa73f8 · outbound

This paper cites Utgen replication package,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Utgen replication package,

Reference 26

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Observation 9d36bec0-22d7-4ec1-bb1f-9fbe4e1000cd · outbound

This paper cites EvoSuite: automatic test suite generation for object- oriented software,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation EvoSuite: automatic test suite generation for object- oriented software,

Reference 27

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Observation 9508e7cb-af61-4afe-bb04-1a979485a380 · outbound

This paper cites codellama-7b,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation codellama-7b,

Reference 28

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Observation c1e65c02-8f74-437b-95c2-3504549113bc · outbound

This paper cites TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration

Reference 29

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Observation 87c55ea0-cf7a-4b70-a694-82797edf8c73 · outbound

This paper cites https://www.jacoco.org/jacoco/,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation https://www.jacoco.org/jacoco/,

Reference 30

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Observation eb343753-a5db-4a80-b96b-c1c1db19ec51 · outbound

This paper cites claude-3-5-haiku-20241022 model overview,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation claude-3-5-haiku-20241022 model overview,

Reference 31

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Observation fed68174-34d6-41f4-8d81-03bbc5e03ae4 · outbound

This paper cites deepseek-v3.1 release,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation deepseek-v3.1 release,

Reference 32

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Observation 0f1fd37e-809f-4cdc-8512-75fbc4199904 · outbound

This paper cites ASTER: natural and multi-language unit test generation with llms,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation ASTER: natural and multi-language unit test generation with llms,

Reference 33

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Observation fe8ee3ce-c58a-45dd-b289-da8f2d380e8c · outbound

This paper cites Achievements, open problems and challenges for search based software testing,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Achievements, open problems and challenges for search based software testing,

Reference 34

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Observation 369c36ec-a65c-4677-b005-4822e3b15311 · outbound

This paper cites Search-based software testing: Past, present and future,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Search-based software testing: Past, present and future,

Reference 35

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Observation d59a73cb-ad76-4d45-a87b-5344a68b1211 · outbound

This paper cites A survey of symbolic execution techniques,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation A survey of symbolic execution techniques,

Reference 36

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Observation d05d6856-9e4d-4578-b0ec-0796d480b3b0 · outbound

This paper cites Klee: unassisted and automatic generation of high-coverage tests for complex systems programs.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Klee: unassisted and automatic generation of high-coverage tests for complex systems programs

Reference 37

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Observation ffad2b80-8b91-4090-a9ef-047c65451941 · outbound

This paper cites Unleashing mayhem on binary code,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Unleashing mayhem on binary code,

Reference 38

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Observation 960335a0-9fe3-41de-b86a-850c04db48ae · outbound

This paper cites Unit Test Case Generation with Transformers and Focal Context.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Unit Test Case Generation with Transformers and Focal Context

Reference 39

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Observation f1b587e4-bb7c-446f-ac35-ea16b213a413 · outbound

This paper cites Effective test generation using pre-trained large language models and mutation testing,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Effective test generation using pre-trained large language models and mutation testing,

Reference 40

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source=pdf_text observed=2026-08-03T21:41:45.166342Z digest=sha256:1760af4a43812d23c1dd65a7f4be3d30e429d6fbac790e92436515a2e3cf471b

Observation 5c80e34b-97cf-4eff-a619-f018665493bc · outbound

This paper cites Large language models are edge-case generators: Crafting unusual programs for fuzzing deep learning libraries,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Large language models are edge-case generators: Crafting unusual programs for fuzzing deep learning libraries,

Reference 41

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Observation de552fa0-015f-4d35-bce3-64ce7ee10554 · outbound

This paper cites Large language models are zero-shot fuzzers: Fuzzing deep-learning libraries via large language models,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Large language models are zero-shot fuzzers: Fuzzing deep-learning libraries via large language models,

Reference 42

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source=pdf_text observed=2026-08-03T21:41:45.359747Z digest=sha256:6842d0a887c0bebe846e1e96a3f090657c20ff57bdf9a4014da5f7564fe95784

Observation b5c60742-f0e5-4930-ac73-d13e42b7c85a · outbound

This paper cites Learning Deep Semantics for Test Completion.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Learning Deep Semantics for Test Completion

Reference 43

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source=pdf_text observed=2026-08-03T21:41:45.418081Z digest=sha256:45d1eb8b4fb44055e344f3ef4a03e1b74328138790c8d4fe31a6d70a74e18fa9

Observation 7acba9b3-b03d-42b7-bcbe-06bf918482d6 · outbound

This paper cites exLong: Generating Exceptional Behavior Tests with Large Language Models.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation exLong: Generating Exceptional Behavior Tests with Large Language Models

Reference 44

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source=pdf_text observed=2026-08-03T21:41:45.470852Z digest=sha256:325b6afbb1d6b73d66ae116eecdad4e7eca1c7db95dd7ea8481f6cb683f842a1

Observation 48218e84-cb1f-482e-ac87-6588ff5690f1 · outbound

This paper cites An empirical evaluation of using large language models for automated unit test generation,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation An empirical evaluation of using large language models for automated unit test generation,

Reference 45

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source=pdf_text observed=2026-08-03T21:41:45.551414Z digest=sha256:e18b41926c8c14d3ab8875e1efa1ac02717eaae216a24ace24e7f08249088199

Observation bc9f3379-9bc7-4309-890f-84d45d105499 · outbound

This paper cites Testspark: Intellij idea’s ultimate test generation companion,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Testspark: Intellij idea’s ultimate test generation companion,

Reference 46

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Observation fd1bd8cf-84a3-45d3-8f82-02d02b21e67b · outbound

This paper cites Codamosa: Escaping coverage plateaus in test generation with pre-trained large language models,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Codamosa: Escaping coverage plateaus in test generation with pre-trained large language models,

Reference 47

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Observation 7d21e827-7ea5-4288-8b12-bc2894bcb85b · outbound

This paper cites Coverup: Effective high coverage test generation for python,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Coverup: Effective high coverage test generation for python,

Reference 48

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source=pdf_text observed=2026-08-03T21:41:45.720761Z digest=sha256:8ceb0abddeb448b82cf0e8eccf614d1e63681d7c61f4459145608bc4413c260a

Observation 9e41c4c3-84ae-434d-b4c6-fb5fa73195a3 · outbound

This paper cites Code- aware prompting: A study of coverage-guided test generation in regression setting using llm,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Code- aware prompting: A study of coverage-guided test generation in regression setting using llm,

Reference 49

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source=pdf_text observed=2026-08-03T21:41:45.854253Z digest=sha256:a855bf1c86c1235edb741aad82af1904267afea1a400c8e86bdf54d449464c64

Observation a90238b0-8680-4056-9522-28065855781e · outbound

This paper cites Automated program repair via conversation: Fixing 162 out of 337 bugs for $0.42 each using chatgpt,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Automated program repair via conversation: Fixing 162 out of 337 bugs for $0.42 each using chatgpt,

Reference 51

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Observation 84a111f5-18bf-468f-ba86-46c189f5f4a9 · outbound

This paper cites Out of context: How important is local context in neural program repair?.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Out of context: How important is local context in neural program repair?

Reference 52

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Observation 47bc9ced-b8e0-484b-82b2-fc5acc2efc31 · outbound

This paper cites an unresolved cited work.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Unresolved cited work

Reference 53

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Observation 3a70028b-04e3-443d-a947-16ccf2f2b474 · outbound

This paper cites Impact of code language models on automated program repair,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Impact of code language models on automated program repair,

Reference 54

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Observation bd5d5734-bc23-4019-902a-de7b63f999b6 · outbound

This paper cites The plastic surgery hypothesis in the era of large language models,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation The plastic surgery hypothesis in the era of large language models,

Reference 55

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Observation a9fe0a9f-9c36-42ab-a107-366706a0ff61 · outbound

This paper cites Nl2fix: Generating functionally correct code edits from bug descriptions,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Nl2fix: Generating functionally correct code edits from bug descriptions,

Reference 56

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Observation b6a56a1c-6a95-4710-942c-459166cbbc2b · outbound

This paper cites Towards effectively leveraging execution traces for program repair with code LLMs,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Towards effectively leveraging execution traces for program repair with code LLMs,

Reference 57

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Observation e1eff423-d50b-48aa-8790-3addffa15fff · outbound

This paper cites Repoformer: selective retrieval for repository-level code completion,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Repoformer: selective retrieval for repository-level code completion,

Reference 58

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Observation c7277db1-3f4b-4a9d-822b-e0e863dcbab3 · outbound

This paper cites ReACC: A Retrieval-Augmented Code Completion Framework.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation ReACC: A Retrieval-Augmented Code Completion Framework

Reference 59

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Observation f9ea778f-bc61-4403-8a39-b886ec88c0a3 · outbound

This paper cites Knowledge graph based repository-level code generation,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Knowledge graph based repository-level code generation,

Reference 60

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Observation b601a1a5-d879-4e81-854b-be4dc07f4297 · outbound

This paper cites Coderag: Supportive code retrieval on bigraph for real-world code generation,.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Coderag: Supportive code retrieval on bigraph for real-world code generation,

Reference 61

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Observation 3c06a9bd-726c-4f19-a232-deb5d7230162 · outbound

This paper cites 2024, pp.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation 2024, pp

Reference 2024

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source=pdf_text observed=2026-08-03T21:41:42.476724Z digest=sha256:b1f2c14d31144b24b7fc7e622d229d77f41258ae26ea250b527e09e592e2be2b

Observation 62d6ab50-f98c-4385-83df-6fac2dc6bace · outbound

This paper cites Available: https://arxiv.org/abs/2504.10046.

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Available: https://arxiv.org/abs/2504.10046

Reference 2025

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source=pdf_text observed=2026-08-03T21:41:46.743841Z digest=sha256:7e57574a0ab88d73e0e55de9eca94929f1cf910a7f5fc4c955046ed9726dd30d

Pith citing papers

Observation ee5b3a1e-8ae1-4095-bf0e-65dddffb1f57 · inbound

TATG: Tracking-Aware Testing Objective for LLM-based Test Generation cites this paper.

TATG: Tracking-Aware Testing Objective for LLM-based Test Generation Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation

Reference 2

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source=pdf_text observed=2026-07-12T04:13:54.470954Z digest=sha256:22e32fc8daed307f92dd4918d44e29f2283a63e69fee517d654971bf0c7b657f

Observation 3ce792a6-8c92-4cca-9d0e-4bf433db2121 · inbound

Knowledge-Guided Synthetic Bug Feedback for LLM-Based Unit Test Generation cites this paper.

Knowledge-Guided Synthetic Bug Feedback for LLM-Based Unit Test Generation Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation

Reference 14

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source=pdf_text observed=2026-07-14T04:41:25.415066Z digest=sha256:eff611ed19ca1a5e85d577a600263825fcc64011e148e856ebc6be86c37cc293