Paper Citation Record · LEDGER

Improving the Readability of Automatically Generated Tests using Large Language Models

As of 16 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 3 inbound Pith citation observations for arXiv:2412.18843.

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

pith.paper-citation-record.v1
2412.18843 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:28:10.282270Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:44:09.176660Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T16:22:39.566099Z

Reference resolution

59 of 59 outbound references displayed

verified exact3
verified fuzzy10
unresolved40
parse uncertain0
malformed identifier4
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 98e40d1c-c452-4f59-884e-01f9ddb841d7 · outbound

This paper cites Search based software engineering,.

Improving the Readability of Automatically Generated Tests using Large Language Models Search based software engineering,

Reference 1

Resolution: verified exact; doi, observed 2026-08-11T04:28:10.513435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c47ccf8e-815f-4dbb-80d0-317ea4a98df8 · outbound

This paper cites Evolutionary testing of classes,.

Improving the Readability of Automatically Generated Tests using Large Language Models Evolutionary testing of classes,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:09.953626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15ffffaa-aea8-453d-8a6a-27f87101a51f · outbound

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

Improving the Readability of Automatically Generated Tests using Large Language Models Evosuite: automatic test suite generation for object-oriented software,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:09.958932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38b3a4a2-7d52-4080-907c-7de055054bd1 · outbound

This paper cites Whole test suite generation,.

Improving the Readability of Automatically Generated Tests using Large Language Models Whole test suite generation,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:09.964803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02ecb53d-0877-4dac-a642-6070ea841a57 · outbound

This paper cites Automated test case generation as a many-objective optimisation problem with dynamic selection of the targets,.

Improving the Readability of Automatically Generated Tests using Large Language Models Automated test case generation as a many-objective optimisation problem with dynamic selection of the targets,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:09.976169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a45b1f50-8219-4421-be57-5feab09c2cfe · outbound

This paper cites Pynguin: Automated unit test generation for python,.

Improving the Readability of Automatically Generated Tests using Large Language Models Pynguin: Automated unit test generation for python,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:09.982796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b79793b-4e00-4092-87dc-4926690dad07 · outbound

This paper cites Syntest-javascript: Automated unit-level test case generation for javascript,.

Improving the Readability of Automatically Generated Tests using Large Language Models Syntest-javascript: Automated unit-level test case generation for javascript,

Reference 8

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T04:28:12.500216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 528fc7f4-3e17-4971-8d15-98cfcda5b91d · outbound

This paper cites Evomaster: Evolutionary multi-context automated system test generation,.

Improving the Readability of Automatically Generated Tests using Large Language Models Evomaster: Evolutionary multi-context automated system test generation,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:09.994019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9744b00a-27f7-4072-84ef-491e8378cbd9 · outbound

This paper cites Sapienz: multi-objective automated testing for android applications,.

Improving the Readability of Automatically Generated Tests using Large Language Models Sapienz: multi-objective automated testing for android applications,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.005011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c7de6ee-aa2e-4699-b23e-23f8854c144d · outbound

This paper cites Modeling readability to improve unit tests,.

Improving the Readability of Automatically Generated Tests using Large Language Models Modeling readability to improve unit tests,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.010564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 686e96c2-ea73-4758-be92-99800529fd33 · outbound

This paper cites Generating unit tests with descriptive names or: would you name your children thing1 and thing2?.

Improving the Readability of Automatically Generated Tests using Large Language Models Generating unit tests with descriptive names or: would you name your children thing1 and thing2?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.015479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba0236a8-17be-48d6-a6df-7620fb7c6d11 · outbound

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

Improving the Readability of Automatically Generated Tests using Large Language Models Unit Test Case Generation with Transformers and Focal Context

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.020419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55580c8f-20eb-46f8-9ac8-b9f829bf8a66 · outbound

This paper cites Attention is all you need,.

Improving the Readability of Automatically Generated Tests using Large Language Models Attention is all you need,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.026325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e53a378f-b443-491d-af10-bf0deb5cf6c5 · outbound

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

Improving the Readability of Automatically Generated Tests using Large Language Models An empirical evaluation of using large language models for automated unit test generation,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.031408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c768b270-bdcf-4394-acc5-469028278bd6 · outbound

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

Improving the Readability of Automatically Generated Tests using Large Language Models Evaluating and improving chatgpt for unit test generation,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.041578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1a726f4-ff23-453b-ac77-5cec3288f03c · outbound

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

Improving the Readability of Automatically Generated Tests using Large Language Models Testspark: Intellij idea’s ultimate test generation companion,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.047222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a644b58-5ec1-41a9-b90e-2c2723685b6e · outbound

This paper cites Chatgpt vs SBST: A comparative assessment of unit test suite generation,.

Improving the Readability of Automatically Generated Tests using Large Language Models Chatgpt vs SBST: A comparative assessment of unit test suite generation,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.052569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dbc879a-01eb-42e3-978f-67d8d82b9836 · outbound

This paper cites Using Large Language Models to Generate JUnit Tests: An Empirical Study.

Improving the Readability of Automatically Generated Tests using Large Language Models Using Large Language Models to Generate JUnit Tests: An Empirical Study

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.057748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e3c1fc5-2948-4848-a76b-db2de1ee1c1f · outbound

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

Improving the Readability of Automatically Generated Tests using Large Language Models ChatUniTest: A Framework for LLM-Based Test Generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.063276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ac43d2d-c4f9-4195-a0a9-c78225434e6b · outbound

This paper cites Generating effective test suites by combining coverage criteria,.

Improving the Readability of Automatically Generated Tests using Large Language Models Generating effective test suites by combining coverage criteria,

Reference 23

Resolution: verified exact; doi, observed 2026-08-11T04:28:10.484018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 60a1781e-f4d0-4fde-aec2-75fa5598ef9a · outbound

This paper cites Automated unit test improvement using large language models at meta,.

Improving the Readability of Automatically Generated Tests using Large Language Models Automated unit test improvement using large language models at meta,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.079781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2844d53b-e78b-41f5-a9ca-966806553d80 · outbound

This paper cites Lost in the middle: How language models use long contexts,.

Improving the Readability of Automatically Generated Tests using Large Language Models Lost in the middle: How language models use long contexts,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:28:13.068124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b364a598-099b-48df-ae0c-1da0003a7c0f · outbound

This paper cites A large scale empirical comparison of state-of-the-art search-based test case generators,.

Improving the Readability of Automatically Generated Tests using Large Language Models A large scale empirical comparison of state-of-the-art search-based test case generators,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:28:13.050383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ac5f69de-ce69-41f2-b29c-ac80b62070c1 · outbound

This paper cites Search-based software test data generation: a survey,.

Improving the Readability of Automatically Generated Tests using Large Language Models Search-based software test data generation: a survey,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.102768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c43c4d6-dd05-4873-aaff-583a737acba6 · outbound

This paper cites A systematic review of the application and empirical investigation of search-based test case generation,.

Improving the Readability of Automatically Generated Tests using Large Language Models A systematic review of the application and empirical investigation of search-based test case generation,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.108207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a297866d-587e-4fda-bcc5-3edbe02de145 · outbound

This paper cites Randoop: feedback-directed random testing for java,.

Improving the Readability of Automatically Generated Tests using Large Language Models Randoop: feedback-directed random testing for java,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.113792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c46e16b-e891-4b66-b7c7-ab1762e7e1f8 · outbound

This paper cites SBFT tool competition 2023 - java test case generation track,.

Improving the Readability of Automatically Generated Tests using Large Language Models SBFT tool competition 2023 - java test case generation track,

Reference 30

Resolution: verified exact; raw_fallback, observed 2026-08-11T04:28:11.650282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 99830420-028d-46c2-9319-cb033ce77269 · outbound

This paper cites Restful API automated test case generation with evomaster,.

Improving the Readability of Automatically Generated Tests using Large Language Models Restful API automated test case generation with evomaster,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.124031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ef02b17-98a4-4870-ac42-2ed602de8584 · outbound

This paper cites An empirical study of automated unit test generation for python,.

Improving the Readability of Automatically Generated Tests using Large Language Models An empirical study of automated unit test generation for python,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:28:13.032636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7c2912f4-14a7-4ede-bdee-c562851cb601 · outbound

This paper cites Software testing with large language models: Survey, landscape, and vision,.

Improving the Readability of Automatically Generated Tests using Large Language Models Software testing with large language models: Survey, landscape, and vision,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.140899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 948ff539-de23-467e-adfd-6051c89efdfc · outbound

This paper cites A3test: Assertion- augmented automated test case generation,.

Improving the Readability of Automatically Generated Tests using Large Language Models A3test: Assertion- augmented automated test case generation,

Reference 34

Resolution: malformed identifier; no resolver link, observed 2026-08-11T04:28:10.146094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d324b14-2444-4596-96cb-59e21ef6b279 · outbound

This paper cites Available: https://doi.org/10.1007/s10664-022-10248-w.

Improving the Readability of Automatically Generated Tests using Large Language Models Available: https://doi.org/10.1007/s10664-022-10248-w

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.134651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 535e97b6-51bf-41c8-83a8-b25a491be783 · outbound

This paper cites A complexity measure,.

Improving the Readability of Automatically Generated Tests using Large Language Models A complexity measure,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:28:13.012134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 915b6e57-1d22-48b7-95d9-d735b059dbcf · outbound

This paper cites Cognitive complexity: an overview and evaluation,.

Improving the Readability of Automatically Generated Tests using Large Language Models Cognitive complexity: an overview and evaluation,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.161837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5fb1487-f627-4a33-af2c-18bf7a32875f · outbound

This paper cites Automatic generation of test cases based on bug reports: a feasibility study with large language models,.

Improving the Readability of Automatically Generated Tests using Large Language Models Automatic generation of test cases based on bug reports: a feasibility study with large language models,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.151190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 537257c0-35e1-4f8b-9912-f3fd3b686b3e · outbound

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

Improving the Readability of Automatically Generated Tests using Large Language Models Effective test generation using pre-trained large language models and mutation testing,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:28:12.992610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a50c079d-6c4c-41d0-9b5a-e3a16991dbbc · outbound

This paper cites Learning a metric for code readability,.

Improving the Readability of Automatically Generated Tests using Large Language Models Learning a metric for code readability,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.183498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 058f385a-85b1-44f2-865c-0a175684f659 · outbound

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

Improving the Readability of Automatically Generated Tests using Large Language Models Codamosa: Escaping coverage plateaus in test generation with pre-trained large language models,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.166991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52663665-f134-41d7-81a2-00e1473a83a0 · outbound

This paper cites The effect of modularization and comments on program comprehension,.

Improving the Readability of Automatically Generated Tests using Large Language Models The effect of modularization and comments on program comprehension,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:28:12.960843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a4128c3b-21de-42fd-8760-780e70592fa0 · outbound

This paper cites Available: https://doi.org/10.1016/j.infsof.2024.107468.

Improving the Readability of Automatically Generated Tests using Large Language Models Available: https://doi.org/10.1016/j.infsof.2024.107468

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.178049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca927d82-3a71-4938-8c58-d1489418fb62 · outbound

This paper cites Code readability testing, an empirical study,.

Improving the Readability of Automatically Generated Tests using Large Language Models Code readability testing, an empirical study,

Reference 44

Resolution: malformed identifier; doi_truncated, observed 2026-08-11T04:28:10.378124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 33f1833f-af1b-4c31-8a85-c5f53b851ddc · outbound

This paper cites An empirical validation of cognitive complexity as a measure of source code understandability,.

Improving the Readability of Automatically Generated Tests using Large Language Models An empirical validation of cognitive complexity as a measure of source code understandability,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.188813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d80c625-2ea3-4512-93fe-a77e4e5be06c · outbound

This paper cites Deeptc-enhancer: Improving the readability of automatically generated tests,.

Improving the Readability of Automatically Generated Tests using Large Language Models Deeptc-enhancer: Improving the readability of automatically generated tests,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.216336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5eac0751-4403-43a5-b614-f0c0101c0333 · outbound

This paper cites Shorter identifier names take longer to comprehend,.

Improving the Readability of Automatically Generated Tests using Large Language Models Shorter identifier names take longer to comprehend,

Reference 47

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T04:28:12.942925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f9b97525-426d-4d81-a3ca-abec48a5abbd · outbound

This paper cites Improving the readability of generated tests using GPT-4 and chatgpt code interpreter,.

Improving the Readability of Automatically Generated Tests using Large Language Models Improving the readability of generated tests using GPT-4 and chatgpt code interpreter,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.227272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50bb86af-fe76-498a-87a2-f041f0f4429a · outbound

This paper cites The impact of test case summaries on bug fixing performance: an empirical investigation,.

Improving the Readability of Automatically Generated Tests using Large Language Models The impact of test case summaries on bug fixing performance: an empirical investigation,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.210388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a36dfaa-157c-4f56-a374-9597635d9591 · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

Improving the Readability of Automatically Generated Tests using Large Language Models A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.238661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8071ce64-d059-47c3-aa36-2f77e6579cd7 · outbound

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

Improving the Readability of Automatically Generated Tests using Large Language Models Interevo-tr: Interactive evolutionary test generation with readability assessment,

Reference 51

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T04:28:10.874160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7151535b-6088-4da6-b21e-a364775bb57a · outbound

This paper cites Large language models are zero-shot reasoners,.

Improving the Readability of Automatically Generated Tests using Large Language Models Large language models are zero-shot reasoners,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:28:12.904082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3ff8a30a-60a4-4747-87e0-1468c8e951a0 · outbound

This paper cites An Empirical Study of the Non-determinism of ChatGPT in Code Generation.

Improving the Readability of Automatically Generated Tests using Large Language Models An Empirical Study of the Non-determinism of ChatGPT in Code Generation

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.232745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc516a7b-5719-4296-b1ab-e4bd75a20d4c · outbound

This paper cites An empirical validation of oracle improvement,.

Improving the Readability of Automatically Generated Tests using Large Language Models An empirical validation of oracle improvement,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.265970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79106864-6437-4098-b053-a9e6f3e7c549 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Improving the Readability of Automatically Generated Tests using Large Language Models Chain-of-thought prompting elicits reasoning in large language models,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:28:12.923729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f037191d-466d-40dd-92bc-7849845794cf · outbound

This paper cites Individual comparisons by ranking methods,.

Improving the Readability of Automatically Generated Tests using Large Language Models Individual comparisons by ranking methods,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.276618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11f3cbb1-4077-460c-8017-6c7fa0d514a7 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive NLP tasks,.

Improving the Readability of Automatically Generated Tests using Large Language Models Retrieval-augmented generation for knowledge-intensive NLP tasks,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:28:12.852257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f4e16c57-d985-465a-a3a6-3e25e95a97bd · outbound

This paper cites Ghisolotti, 2025.

Improving the Readability of Automatically Generated Tests using Large Language Models Ghisolotti, 2025

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:28:12.872627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d5aa5072-b803-4a54-969a-bdc87f30072c · outbound

This paper cites Gamifying a software testing course with code defenders,.

Improving the Readability of Automatically Generated Tests using Large Language Models Gamifying a software testing course with code defenders,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.271462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef86ff02-aca0-4fbd-bdbc-a1129bac384c · outbound

This paper cites Available: http://papers.nips.cc/paper files/paper/2022/ hash/8bb0d291acd4acf06ef112099c16f326-Abstract-Conference.html.

Improving the Readability of Automatically Generated Tests using Large Language Models Available: http://papers.nips.cc/paper files/paper/2022/ hash/8bb0d291acd4acf06ef112099c16f326-Abstract-Conference.html

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.255516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c462962-676b-47d2-87ba-a04a71734024 · outbound

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

Improving the Readability of Automatically Generated Tests using Large Language Models ChatUniTest: A Framework for LLM-Based Test Generation

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.068560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bb55039-ef36-4748-ad00-48501d6477de · outbound

This paper cites Available: https://doi.org/10.1162/tacl a 00638.

Improving the Readability of Automatically Generated Tests using Large Language Models Available: https://doi.org/10.1162/tacl a 00638

Reference 2024

Resolution: malformed identifier; no resolver link, observed 2026-08-11T04:28:10.090217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 9f914983-e735-4ae1-aa7e-76f90e23c740 · inbound

Rethinking Cognitive Complexity for Unit Tests: Toward a Readability-Aware Metric Grounded in Developer Perception cites this paper.

Rethinking Cognitive Complexity for Unit Tests: Toward a Readability-Aware Metric Grounded in Developer Perception Improving the Readability of Automatically Generated Tests using Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:53:18.419223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9fc85ea-01b1-44f8-be04-36b49c8f60a0 · inbound

Large Language Models for Unit Testing: A Systematic Literature Review cites this paper.

Large Language Models for Unit Testing: A Systematic Literature Review Improving the Readability of Automatically Generated Tests using Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T19:44:09.176660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb882bdc-1b12-49b0-a4e0-edc34c7367f1 · inbound

Probing Privacy Leaks in LLM-based Code Generation via Test Generation cites this paper.

Probing Privacy Leaks in LLM-based Code Generation via Test Generation Improving the Readability of Automatically Generated Tests using Large Language Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-19T16:22:39.567906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.