Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T21:41:46.803788Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T21:41:46.803788Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-14T04:41:25.415066Z
A source-named dated measurement, never combined with another source.
Source: cited_works
62 of 62 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation b66d355f-c288-421d-856c-5bc523a73be7 · outbound
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
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
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
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
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
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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Unavailable: canonical work link unavailable.
Observation f5977754-0662-4d38-b49e-caff57badd85 · outbound
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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Unavailable: canonical work link unavailable.
Observation 3a7b0a47-dbba-4a5a-b3de-76c51153e5a3 · outbound
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
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
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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Unavailable: canonical work link unavailable.
Observation 45b7473a-cd27-4d44-8872-84435af02031 · outbound
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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Unavailable: canonical work link unavailable.
Observation 22dc6d2f-bac1-4838-a717-1fc38f69000a · outbound
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
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
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
Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Ktester,
Reference 15
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Unavailable: canonical work link unavailable.
Observation 91b19299-7974-4f84-8a9c-6c4204cb2489 · outbound
Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Control flow analysis,
Reference 16
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Unavailable: canonical work link unavailable.
Observation 62a13bdb-56c3-468f-ad99-a432f605b887 · outbound
Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation http://javaparser.org/,
Reference 17
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Unavailable: canonical work link unavailable.
Observation 691a18fb-66e1-4846-b3cf-5b0b517df31e · outbound
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
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
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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Unavailable: canonical work link unavailable.
Observation 2b30dc01-b0a2-47ed-bfd9-e0afec07bc11 · outbound
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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Unavailable: canonical work link unavailable.
Observation 3996324d-aa23-46b9-81e2-2785dc90ff39 · outbound
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
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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Unavailable: canonical work link unavailable.
Observation 0d91d2f9-c5b0-4d1e-8e48-e78c8f42f0bd · outbound
Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation https://platform.openai.com,
Reference 24
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Unavailable: canonical work link unavailable.
Observation 4783b893-60b3-40bf-ba5d-37297212f931 · outbound
Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Deljouyi, R
Reference 25
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Unavailable: canonical work link unavailable.
Observation 3287a644-ed3c-48db-a35c-fcca96fa73f8 · outbound
Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Utgen replication package,
Reference 26
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Unavailable: canonical work link unavailable.
Observation 9d36bec0-22d7-4ec1-bb1f-9fbe4e1000cd · outbound
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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Unavailable: canonical work link unavailable.
Observation 9508e7cb-af61-4afe-bb04-1a979485a380 · outbound
Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation codellama-7b,
Reference 28
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Unavailable: canonical work link unavailable.
Observation c1e65c02-8f74-437b-95c2-3504549113bc · outbound
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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Unavailable: canonical work link unavailable.
Observation 87c55ea0-cf7a-4b70-a694-82797edf8c73 · outbound
Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation https://www.jacoco.org/jacoco/,
Reference 30
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Unavailable: canonical work link unavailable.
Observation eb343753-a5db-4a80-b96b-c1c1db19ec51 · outbound
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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Unavailable: canonical work link unavailable.
Observation fed68174-34d6-41f4-8d81-03bbc5e03ae4 · outbound
Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation deepseek-v3.1 release,
Reference 32
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Unavailable: canonical work link unavailable.
Observation 0f1fd37e-809f-4cdc-8512-75fbc4199904 · outbound
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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Unavailable: canonical work link unavailable.
Observation fe8ee3ce-c58a-45dd-b289-da8f2d380e8c · outbound
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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Unavailable: canonical work link unavailable.
Observation 369c36ec-a65c-4677-b005-4822e3b15311 · outbound
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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Unavailable: canonical work link unavailable.
Observation d59a73cb-ad76-4d45-a87b-5344a68b1211 · outbound
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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Unavailable: canonical work link unavailable.
Observation d05d6856-9e4d-4578-b0ec-0796d480b3b0 · outbound
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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Unavailable: canonical work link unavailable.
Observation ffad2b80-8b91-4090-a9ef-047c65451941 · outbound
Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation Unleashing mayhem on binary code,
Reference 38
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Unavailable: canonical work link unavailable.
Observation 960335a0-9fe3-41de-b86a-850c04db48ae · outbound
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
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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Unavailable: canonical work link unavailable.
Observation 5c80e34b-97cf-4eff-a619-f018665493bc · outbound
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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Unavailable: canonical work link unavailable.
Observation de552fa0-015f-4d35-bce3-64ce7ee10554 · outbound
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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Unavailable: canonical work link unavailable.
Observation b5c60742-f0e5-4930-ac73-d13e42b7c85a · outbound
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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Observation 7acba9b3-b03d-42b7-bcbe-06bf918482d6 · outbound
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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Unavailable: canonical work link unavailable.
Observation 48218e84-cb1f-482e-ac87-6588ff5690f1 · outbound
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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Unavailable: canonical work link unavailable.
Observation bc9f3379-9bc7-4309-890f-84d45d105499 · outbound
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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Unavailable: canonical work link unavailable.
Observation fd1bd8cf-84a3-45d3-8f82-02d02b21e67b · outbound
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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Unavailable: canonical work link unavailable.
Observation 7d21e827-7ea5-4288-8b12-bc2894bcb85b · outbound
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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Observation 9e41c4c3-84ae-434d-b4c6-fb5fa73195a3 · outbound
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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Observation a90238b0-8680-4056-9522-28065855781e · outbound
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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Unavailable: canonical work link unavailable.
Observation 84a111f5-18bf-468f-ba86-46c189f5f4a9 · outbound
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
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
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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Unavailable: canonical work link unavailable.
Observation bd5d5734-bc23-4019-902a-de7b63f999b6 · outbound
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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Unavailable: canonical work link unavailable.
Observation a9fe0a9f-9c36-42ab-a107-366706a0ff61 · outbound
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
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
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
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
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
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
Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation 2024, pp
Reference 2024
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Observation 62d6ab50-f98c-4385-83df-6fac2dc6bace · outbound
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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Observation ee5b3a1e-8ae1-4095-bf0e-65dddffb1f57 · inbound
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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Observation 3ce792a6-8c92-4cca-9d0e-4bf433db2121 · inbound
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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