Paper Citation Record · LEDGER

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis

As of 20 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2501.14465.

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

pith.paper-citation-record.v1
2501.14465 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:10:44.087096Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

35 of 35 outbound references displayed

verified exact0
verified fuzzy26
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 94d2c093-7e9c-4925-b76a-35927ee41043 · outbound

This paper cites Dustin, J.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Dustin, J

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.635384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f9ddf1b6-8591-45fe-b495-ab43ed57b7fc · outbound

This paper cites Analysis and testing using boundary value analysis methods for geographic information system,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Analysis and testing using boundary value analysis methods for geographic information system,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.619549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7c4d227c-04f2-4c01-817d-c132b705eac1 · outbound

This paper cites Domain testing,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Domain testing,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.602256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3ff763ee-ea4a-4108-9c57-b6f78591bdf3 · outbound

This paper cites Challenges and barriers to software testing,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Challenges and barriers to software testing,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.587264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a49c069f-0075-475e-9578-3f577e860fa4 · outbound

This paper cites GPT-3: Its nature, scope, limits, and consequences,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis GPT-3: Its nature, scope, limits, and consequences,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.571732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b0c2d17b-0ce6-412b-becd-2c0380de33fc · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T15:10:43.941832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88be9744-e318-44ee-9417-dcf0b7683831 · outbound

This paper cites Intellicode compose: Code generation using transformer,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Intellicode compose: Code generation using transformer,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T15:10:43.947572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6ee9e1c-5e87-4149-8543-b2346bcc5b8c · outbound

This paper cites Automat- ing test automation,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Automat- ing test automation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.535764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 105545cc-0793-42fb-ba34-09143316ff2a · outbound

This paper cites Protocol for a systematic literature review on the evaluation of code recommender systems,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Protocol for a systematic literature review on the evaluation of code recommender systems,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.520831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 212a42ff-85a8-43c4-9e9b-e409b3832d49 · outbound

This paper cites Are we testing or being tested? exploring the practical applications of large language models in software testing,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Are we testing or being tested? exploring the practical applications of large language models in software testing,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.505912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7715d3df-9a44-40d0-9c3a-1ce16b273ed2 · outbound

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

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Software testing with large language models: Survey, landscape, and vision,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.490824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8b269e54-079a-43dc-857e-1a6729d0656e · outbound

This paper cites Large language models for software engi- neering: A systematic literature review,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Large language models for software engi- neering: A systematic literature review,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T15:10:43.972524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dc63b32-e239-460b-bdd5-8d4acc8f8851 · outbound

This paper cites Boundary value ex- ploration for software analysis,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Boundary value ex- ploration for software analysis,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.462524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 28bdb269-71e3-4c11-ab86-ff0e8b5beb4d · outbound

This paper cites An empirical analysis of equivalence partitioning, boundary value analysis and random testing,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis An empirical analysis of equivalence partitioning, boundary value analysis and random testing,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.446564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aa5027d8-bd2c-49c6-9d86-13885d93c670 · outbound

This paper cites Random testing: Theoretical results and practical implications,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Random testing: Theoretical results and practical implications,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.430111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7e966afe-4254-448d-b85e-8816766b8b15 · outbound

This paper cites EvoMBT: Evolutionary model based testing,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis EvoMBT: Evolutionary model based testing,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.412195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ae404489-19c6-4220-8d6d-841eb51984f9 · outbound

This paper cites A Comprehensive Overview of Large Language Models.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis A Comprehensive Overview of Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T15:10:43.996405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6876e6bd-9a9d-41e4-80fe-8d3d7f8f3180 · outbound

This paper cites TIFA: Accurate and interpretable text-to-image faithfulness evaluation with question answering,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis TIFA: Accurate and interpretable text-to-image faithfulness evaluation with question answering,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.396950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 47056aab-9cc7-4cb0-9583-72ace9714080 · outbound

This paper cites TenGAN: Pure transformer encoders make an efficient discrete gan for de novo molecular generation,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis TenGAN: Pure transformer encoders make an efficient discrete gan for de novo molecular generation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.381334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d54b91c0-eebc-42ab-a6f3-9942719be60d · outbound

This paper cites GxV AEs: Two joint vaes generate hit molecules from gene expression profiles,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis GxV AEs: Two joint vaes generate hit molecules from gene expression profiles,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.365280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5b63cf76-1149-445b-bcc5-bd9de53d556c · outbound

This paper cites Large language models as oracles for instantiating ontologies with domain-specific knowledge.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Large language models as oracles for instantiating ontologies with domain-specific knowledge

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T15:10:44.017698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c3dce61-e130-43ff-86b7-fcd73f1f9fad · outbound

This paper cites Towards an intelligent test case generation framework using llms and prompt engineering,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Towards an intelligent test case generation framework using llms and prompt engineering,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.348422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 765aa8b8-ee82-4988-b3fe-8fd9210b599a · outbound

This paper cites Chatunitest: A framework for llm-based test generation,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Chatunitest: A framework for llm-based test generation,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T15:10:44.028009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eca0d905-4b03-4812-bd21-2b601b8bade1 · outbound

This paper cites Harnessing the power of llms in practice: A survey on chatgpt and beyond,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Harnessing the power of llms in practice: A survey on chatgpt and beyond,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T15:10:44.032850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77f771cc-fea9-4951-823f-eca4dc28da57 · outbound

This paper cites A review of current trends, techniques, and challenges in large language models (llms),.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis A review of current trends, techniques, and challenges in large language models (llms),

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T15:10:44.038272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b625b5d0-149b-469d-bb06-e9db4e9cc8b5 · outbound

This paper cites Boundary value analysis in automatic white-box test generation,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Boundary value analysis in automatic white-box test generation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.297753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 72323174-9f2c-440b-9989-e76b229e2ae9 · outbound

This paper cites An analysis and survey of the development of mutation testing,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis An analysis and survey of the development of mutation testing,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.282224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 61bf7352-bc76-4710-8d05-8fbf3986aed3 · outbound

This paper cites Gcov: https://gcc.gnu.org/onlinedocs/gcc/gcov.html.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Gcov: https://gcc.gnu.org/onlinedocs/gcc/gcov.html

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.264534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7ad4a74f-b99b-403d-951f-89a8d42b6048 · outbound

This paper cites Pathcrawler: Automatic generation of path tests by combining static and dynamic analysis,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Pathcrawler: Automatic generation of path tests by combining static and dynamic analysis,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.246117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6ee67f77-d0d0-468d-89e6-47b7387532ba · outbound

This paper cites Mc/dc automatic test input data generation,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Mc/dc automatic test input data generation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.230840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d835b51a-49ed-4a02-b665-50e89e00e13c · outbound

This paper cites Searching for test data,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Searching for test data,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.214626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bb1dbbb8-5db8-4c5d-b39d-9a5c14ca3bb4 · outbound

This paper cites Numerical recipes in c,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Numerical recipes in c,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.198937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e7ccdb13-f4a5-4671-bbc9-c2616d89f62b · outbound

This paper cites Supporting controlled experi- mentation with testing techniques: An infrastructure and its potential impact,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Supporting controlled experi- mentation with testing techniques: An infrastructure and its potential impact,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.184170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ac632396-afd2-49c4-8541-23593bea7220 · outbound

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

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Klee: unassisted and automatic generation of high-coverage tests for complex systems programs

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T15:10:44.082507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f7729ef-9208-40f6-a262-861a410ecdd1 · outbound

This paper cites Towards high-quality test suite generation with ml-based boundary value analysis,.

Boundary Value Test Input Generation Using Prompt Engineering with LLMs: Fault Detection and Coverage Analysis Towards high-quality test suite generation with ml-based boundary value analysis,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:10:44.158518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.