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Paper Citation Record · LEDGER

Unit Test Case Generation with Transformers and Focal Context

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 58 inbound Pith citation observations for arXiv:2009.05617.

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

pith.paper-citation-record.v1
2009.05617 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 58 of 58 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:21:43.305665Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

8
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e561a5d5-d118-4f3b-8d96-ed506f5b98af · inbound

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation cites this paper.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Unit Test Case Generation with Transformers and Focal Context

Reference 78

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arxiv_id, observed 2026-05-15T11:40:02.651468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T11:40:02.535705Z digest=sha256:c17a50751cea6ae2aa2e8229744d5a660f4160b92a1e2c24f4f6292df0ffa176

Observation dfa44d95-3bb5-49da-ab00-b667b3aed1d7 · inbound

CodeT: Code Generation with Generated Tests cites this paper.

CodeT: Code Generation with Generated Tests Unit Test Case Generation with Transformers and Focal Context

Reference 13

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arxiv_id, observed 2026-05-15T23:55:14.757739Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T23:55:14.711111Z digest=sha256:372e5d8564d8bd4ad3d8226ce62a4b03bbb56ad1b6df2c16bcbd18ce809c4ffb

Observation 80f5eba1-24bc-4c29-b130-82e4520d316b · inbound

StarCoder: may the source be with you! cites this paper.

StarCoder: may the source be with you! Unit Test Case Generation with Transformers and Focal Context

Reference 187

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arxiv_id, observed 2026-05-10T23:33:00.299225Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-10T23:32:59.517389Z digest=sha256:0f1e1dbd68519250ed7289d4b5d4965d5fc1dcc55a0f48731758707fb2cbff09

Observation 69f46a6b-00d7-457a-9b17-45e1405e2276 · inbound

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology cites this paper.

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology Unit Test Case Generation with Transformers and Focal Context

Reference 51

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arxiv_id, observed 2026-05-24T03:58:51.472964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-24T03:58:32.556725Z digest=sha256:4bd0ebb5a01ef663a86a07c6e9fbbc13c2e0218f256999cb58e99b38c4347957

Observation 95c2c80b-3681-4c45-866e-51e15dca90ef · inbound

ASSERTIFY: Utilizing Large Language Models to Generate Assertions for Production Code cites this paper.

ASSERTIFY: Utilizing Large Language Models to Generate Assertions for Production Code Unit Test Case Generation with Transformers and Focal Context

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:46:28.645326Z digest=sha256:504d97206a0a1ce08ce0aaa1a8d7514fc0d5b1b70c75ba37cf1e64ebf46db78d

Observation 7e4c1a9a-d502-4097-867a-252a28479404 · inbound

What You See Is What You Get: Attention-based Self-guided Automatic Unit Test Generation cites this paper.

What You See Is What You Get: Attention-based Self-guided Automatic Unit Test Generation Unit Test Case Generation with Transformers and Focal Context

Reference 20

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T05:02:13.031083Z digest=sha256:170d7ab5a7724a08159461e23b915599160cf0246f6c814fa519fafa3f173c54

Observation ecdca1c7-37e5-48d5-9629-3d5105a10fda · inbound

TDD-Bench Verified: Can LLMs Generate Tests for Issues Before They Get Resolved? cites this paper.

TDD-Bench Verified: Can LLMs Generate Tests for Issues Before They Get Resolved? Unit Test Case Generation with Transformers and Focal Context

Reference 50

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:02:34.264276Z digest=sha256:bc085700e8a9df46995a259edfccb021a66fe3a470f7e87849147397d39ffb48

Observation f44a66f8-05de-45df-bffe-4a2048642683 · inbound

Doc2OracLL: Investigating the Impact of Documentation on LLM-based Test Oracle Generation cites this paper.

Doc2OracLL: Investigating the Impact of Documentation on LLM-based Test Oracle Generation Unit Test Case Generation with Transformers and Focal Context

Reference 40

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source=pdf_text observed=2026-08-11T17:10:28.107133Z digest=sha256:18fbed54e2e5b78ab7204627a0b842b9071fc184ad0f9e03cf9402da16a0dbb1

Observation 34de0848-e97f-4bec-a5b5-f6366e42e045 · inbound

A Large-scale Empirical Study on Fine-tuning Large Language Models for Unit Testing cites this paper.

A Large-scale Empirical Study on Fine-tuning Large Language Models for Unit Testing Unit Test Case Generation with Transformers and Focal Context

Reference 44

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:27:18.012239Z digest=sha256:cb787c7c3c5f01a65cbdc4a44e04d88c163dd812277fcd01cc9832f069155991

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

Improving the Readability of Automatically Generated Tests using Large Language Models cites this paper.

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

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:28:10.020419Z digest=sha256:16e0b78f0576aa068df4f824ae58891e63482a9d4341001e18d5b500472462b6

Observation c281d67f-7bd5-40a3-8315-2ab8ed3f6d8d · inbound

The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation cites this paper.

The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation Unit Test Case Generation with Transformers and Focal Context

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:04.663280Z digest=sha256:80c5a503afe350b5ef030d287236e6b43de7c80e770f822cb6fd846681291cb2

Observation 012635fd-3300-45a4-af5e-f45fdeee3ea9 · inbound

On the Generalizability of Transformer Models to Code Completions of Different Lengths cites this paper.

On the Generalizability of Transformer Models to Code Completions of Different Lengths Unit Test Case Generation with Transformers and Focal Context

Reference 55

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:50.789211Z digest=sha256:b14b64dfbad2b89dcaa47e95c847aaa126b42bbee6e28419145ac8f052c5aebd

Observation 56cf54df-89e5-42dd-a4ea-60212e12de2e · inbound

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information cites this paper.

Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information Unit Test Case Generation with Transformers and Focal Context

Reference 47

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:24:18.369514Z digest=sha256:075e51785c85f7c9b003a09fc55423c1cd712bb80bfce739349bc227f7d6d06e

Observation 3abfd09b-6ed1-4df9-9155-f65f3cb784b4 · inbound

Enhancing LLM's Ability to Generate More Repository-Aware Unit Tests Through Precise Contextual Information Injection cites this paper.

Enhancing LLM's Ability to Generate More Repository-Aware Unit Tests Through Precise Contextual Information Injection Unit Test Case Generation with Transformers and Focal Context

Reference 42

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:46:00.355226Z digest=sha256:bc479f03f8a7b72139087e7f8a34867aadb7163a69f6eaab7fb1455ae16016f6

Observation 0d27f4c8-6766-435a-8af7-a5df139689ff · inbound

Evaluating LLM-Based Regression Test Generation cites this paper.

Evaluating LLM-Based Regression Test Generation Unit Test Case Generation with Transformers and Focal Context

Reference 28

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no resolver link, observed 2026-08-10T18:46:26.640870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:46:26.640870Z digest=sha256:971ba13eafe08b438f14a647b801d9fe56a09008e70361ca076807d908964678

Observation 148231df-2362-4366-973e-17f1cf21b886 · inbound

Experience with GitHub Copilot for Developer Productivity at Zoominfo cites this paper.

Experience with GitHub Copilot for Developer Productivity at Zoominfo Unit Test Case Generation with Transformers and Focal Context

Reference 22

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no resolver link, observed 2026-08-10T16:20:36.997509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:20:36.997509Z digest=sha256:35d3d3833fca30eaec88a6e805dcff8570f199632958d477a3d8cdd6ab3a5efc

Observation fc0c94c8-d88f-42dc-856e-d371542b5e1b · inbound

CITYWALK: Enhancing LLM-Based C++ Unit Test Generation via Project-Dependency Awareness and Language-Specific Knowledge cites this paper.

CITYWALK: Enhancing LLM-Based C++ Unit Test Generation via Project-Dependency Awareness and Language-Specific Knowledge Unit Test Case Generation with Transformers and Focal Context

Reference 43

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:45:09.875711Z digest=sha256:f2e2778379031dd42fec456f36829aa4ebe7ea3225739c2c3b0ad0e5458b90f7

Observation 61f63e1a-084d-4292-aeb0-06054821cb54 · inbound

AsserT5: Test Assertion Generation Using a Fine-Tuned Code Language Model cites this paper.

AsserT5: Test Assertion Generation Using a Fine-Tuned Code Language Model Unit Test Case Generation with Transformers and Focal Context

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:26:45.965944Z digest=sha256:beeb2261f96a651dade2c1d32905cb2716c4869225e465aa3ad28fdd364ca9a1

Observation d2bb5847-e96a-4650-916a-8485d8617a98 · inbound

pyMethods2Test: A Dataset of Python Tests Mapped to Focal Methods cites this paper.

pyMethods2Test: A Dataset of Python Tests Mapped to Focal Methods Unit Test Case Generation with Transformers and Focal Context

Reference 16

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source=pdf_text observed=2026-08-08T20:07:29.368435Z digest=sha256:3e85dfc1866a03973f831f291eaa35cde3684c5b0434b61754f292fba1f6b4b0

Observation ebb79ddf-1a70-418f-9f57-6128893ddb9f · inbound

CLOVER: A Test Case Generation Benchmark with Coverage, Long-Context, and Verification cites this paper.

CLOVER: A Test Case Generation Benchmark with Coverage, Long-Context, and Verification Unit Test Case Generation with Transformers and Focal Context

Reference 32

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:42:26.068366Z digest=sha256:9f386ae0726e54c517cfc1e28629000a4bede150beaaa60503122e2f6d21220f

Observation 998e83db-b4e3-45a6-aa2c-5d30416cb895 · inbound

Automated Test Generation from Program Documentation Encoded in Code Comments cites this paper.

Automated Test Generation from Program Documentation Encoded in Code Comments Unit Test Case Generation with Transformers and Focal Context

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:46.768599Z digest=sha256:670fde61f44b3d420365567d7cca0ccf513a6d99746c899f3caffe46e273368e

Observation e885b23e-ac5b-4ba5-8db4-795031a61dc2 · inbound

A Systematic Literature Review of Parameter-Efficient Fine-Tuning for Large Code Models cites this paper.

A Systematic Literature Review of Parameter-Efficient Fine-Tuning for Large Code Models Unit Test Case Generation with Transformers and Focal Context

Reference 134

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:21:43.305665Z digest=sha256:6a174321e9845c04804a01cc1a80b8d9a52cda2f9744ffc180ae9af40f14c402

Observation 441080ed-79e2-4393-b200-40efc524c6a5 · inbound

A Tool for Generating Exceptional Behavior Tests With Large Language Models cites this paper.

A Tool for Generating Exceptional Behavior Tests With Large Language Models Unit Test Case Generation with Transformers and Focal Context

Reference 36

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source=pdf_text observed=2026-08-07T13:04:29.031949Z digest=sha256:d985ab5bd8a10c94565597411411984c1d9e2d93d298e94c4c4c3f59fb65fc53

Observation 01f43c59-c2da-4d6b-9dda-04efd20c74ff · inbound

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation cites this paper.

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation Unit Test Case Generation with Transformers and Focal Context

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:08:36.380094Z digest=sha256:1b594f762fe31773ce4e6d25ee4c29112c0664e107d1b2fb7201a7f658df994e

Observation a362e75d-eb7b-4d96-a0fe-f4c181f31073 · inbound

Quality Assessment of Python Tests Generated by Large Language Models cites this paper.

Quality Assessment of Python Tests Generated by Large Language Models Unit Test Case Generation with Transformers and Focal Context

Reference 37

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:22:56.344629Z digest=sha256:cd8d4610e117dbca6daf0accca6d6c7acd0520bbd9fa098703d7c1fc4eab978b

Observation 2d408555-1f5e-47e6-beb3-4eca09711089 · inbound

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

Large Language Models for Unit Testing: A Systematic Literature Review Unit Test Case Generation with Transformers and Focal Context

Reference 99

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source=pdf_text observed=2026-08-15T19:44:09.571413Z digest=sha256:c0e8c37162a2f1f4ae20e23b9452baae440b72464687834a6baa98872ae3cc06

Observation 61b8f1c0-566b-454e-8e95-6151a7c65fd4 · inbound

SemAgent: A Semantics Aware Program Repair Agent cites this paper.

SemAgent: A Semantics Aware Program Repair Agent Unit Test Case Generation with Transformers and Focal Context

Reference 19

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source=arxiv_source observed=2026-08-15T19:26:51.193723Z digest=sha256:4e4ac006d5009cdfb2501022ddbb1cbdfa225434aa096d3a3893db82a213da47

Observation 777103b3-d166-4ac5-9662-2640fa7e437a · inbound

Re-Evaluating Code LLM Benchmarks Under Semantic Mutation cites this paper.

Re-Evaluating Code LLM Benchmarks Under Semantic Mutation Unit Test Case Generation with Transformers and Focal Context

Reference 6

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source=pdf_text observed=2026-08-15T19:20:50.423467Z digest=sha256:2912b3a58729c53481f7705ead669420db114e557c60ee7b22226f9b6191c79e

Observation 3704149f-abd9-4354-8797-c89fb96aa3d8 · inbound

Effective LLM Code Refinement via Property-Oriented and Structurally Minimal Feedback cites this paper.

Effective LLM Code Refinement via Property-Oriented and Structurally Minimal Feedback Unit Test Case Generation with Transformers and Focal Context

Reference 55

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metadata mismatch
arxiv_id, observed 2026-05-19T08:37:11.665580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-19T08:36:58.880345Z digest=sha256:09d35e403ffd0ad8e37b730c57e2e108a498055b9bbc965a586541ad41a8c5b0

Observation 4992c2f8-3f2e-4776-8b12-5395b6df2bd2 · inbound

Seed&Steer: Guiding Large Language Models with Compilable Prefix and Branch Signals for Unit Test Generation cites this paper.

Seed&Steer: Guiding Large Language Models with Compilable Prefix and Branch Signals for Unit Test Generation Unit Test Case Generation with Transformers and Focal Context

Reference 29

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:57:26.330622Z digest=sha256:fc6f18d23ce0740259180321984c20db01042248d5835b1a93fbd862bea1d628

Observation b45df016-8c1e-4dec-abdf-7a81db9bbef7 · inbound

Generating Project-Specific Test Cases with Requirement Validation Intention cites this paper.

Generating Project-Specific Test Cases with Requirement Validation Intention Unit Test Case Generation with Transformers and Focal Context

Reference 49

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arxiv_id, observed 2026-05-19T03:17:00.776061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-19T03:15:10.410454Z digest=sha256:a16cd4061ec163c1c24e198b02e69678134482be627b4254e1bf3faa2aa02ab4

Observation b16a92a6-6373-41b9-ba0a-b44d10521a0c · inbound

Generating Project-Specific Test Cases with Requirement Validation Intention cites this paper.

Generating Project-Specific Test Cases with Requirement Validation Intention Unit Test Case Generation with Transformers and Focal Context

Reference 50

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source=pdf_text observed=2026-08-15T17:45:11.942028Z digest=sha256:0344a4e88b087c4fc1dd31d663161f6b13ed231fc0a0adc553bcc5deb35b71d5

Observation a0474c49-1909-4ea4-b66e-6a6d70d602bd · inbound

Hamster: A Large-Scale Study and Characterization of Developer-Written Tests cites this paper.

Hamster: A Large-Scale Study and Characterization of Developer-Written Tests Unit Test Case Generation with Transformers and Focal Context

Reference 88

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:35:41.866183Z digest=sha256:441f2cc045dfe246990b6116941e16cdae76108252f05d6c1fea542b0f8933b5

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

Knowledge Matters: Injecting Project and Testing Knowledge into LLM-based Unit Test Generation cites this paper.

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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source=pdf_text observed=2026-08-03T21:41:45.018842Z digest=sha256:b4d414eb8d8379a8852d7b3199ba20a417fe9cd78ccfa7a60356c3000447e04d

Observation 27d971da-d793-4d5b-9335-8bd676566afa · inbound

SAGE: Semantic-Aware Gray-Box Game Regression Testing with Large Language Models cites this paper.

SAGE: Semantic-Aware Gray-Box Game Regression Testing with Large Language Models Unit Test Case Generation with Transformers and Focal Context

Reference 20

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no resolver link, observed 2026-08-03T19:29:33.290066Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:29:33.290066Z digest=sha256:9ca66cf40aaf38a90e87c60866982459e49b44e0ec5d7c44ed2c608beda0544f

Observation 19a72344-ed94-4974-95bd-36ac266237a0 · inbound

Compiling Large Multi-Modal Requirement Documents into Runnable Software Systems: From an Agentic Test-Driven Perspective cites this paper.

Compiling Large Multi-Modal Requirement Documents into Runnable Software Systems: From an Agentic Test-Driven Perspective Unit Test Case Generation with Transformers and Focal Context

Reference 60

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no resolver link, observed 2026-08-02T23:31:16.765590Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:31:16.765590Z digest=sha256:984546acda1f41da2a67cb59b2c67637cf4dabfec4c138128ccd2c528dfc8f68

Observation 6bf828a6-20dd-47af-9ad0-07404e8730fc · inbound

SpecMind: Cognitively Inspired, Interactive Multi-Turn Framework for Postcondition Inference cites this paper.

SpecMind: Cognitively Inspired, Interactive Multi-Turn Framework for Postcondition Inference Unit Test Case Generation with Transformers and Focal Context

Reference 315

Resolution
unresolved
no resolver link, observed 2026-08-02T21:21:36.947026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:21:36.947026Z digest=sha256:a70e7a597bf594126894533863dd4f64bf499f7bc4460d2c850aad92b86bb3d6

Observation 43fecba5-2865-4bc4-af58-3d977b39eba9 · inbound

TestDecision: Sequential Test Suite Generation via Greedy Optimization and Reinforcement Learning cites this paper.

TestDecision: Sequential Test Suite Generation via Greedy Optimization and Reinforcement Learning Unit Test Case Generation with Transformers and Focal Context

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:38:18.776371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T21:36:14.478007Z digest=sha256:033e1b3e03aaa9905b10968ce60653ce3d4a5aa1992c5c0aaf55cc247f1c0361

Observation de72fb62-fe36-4e6f-8d4a-84d2a790cf86 · inbound

An Iterative Test-and-Repair Framework for Competitive Code Generation cites this paper.

An Iterative Test-and-Repair Framework for Competitive Code Generation Unit Test Case Generation with Transformers and Focal Context

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:35:48.607668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T19:44:32.950977Z digest=sha256:d459f4868e5b38dc4f93ab7d26918f65a697e596a6456dd09d97671b3976d5e9

Observation 9213af63-d718-4071-8726-a44a8bf01ce1 · inbound

An Iterative Test-and-Repair Framework for Competitive Code Generation cites this paper.

An Iterative Test-and-Repair Framework for Competitive Code Generation Unit Test Case Generation with Transformers and Focal Context

Reference 56

Resolution
unresolved
no resolver link, observed 2026-07-13T09:22:44.557413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T09:22:44.557413Z digest=sha256:7057ea6141a13254afaab131171ddb5d1f9cf224c0f42b98dfbc2d1487bea869

Observation 363a8ea4-4e07-4add-b688-d2e34067b10a · inbound

Enhancing Program Repair with Specification Guidance and Intermediate Behavioral Signals cites this paper.

Enhancing Program Repair with Specification Guidance and Intermediate Behavioral Signals Unit Test Case Generation with Transformers and Focal Context

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:26:04.585404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T14:53:38.227540Z digest=sha256:ca6cdedd4c7b646ac3e885d2bde9f14f492f55099c55be55a4fae016f027ef23

Observation 41395cc7-1851-4ed9-b0c6-89efc052026a · inbound

From Exploration to Specification: LLM-Based Property Generation for Mobile App Testing cites this paper.

From Exploration to Specification: LLM-Based Property Generation for Mobile App Testing Unit Test Case Generation with Transformers and Focal Context

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:10:29.214716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T13:50:14.400046Z digest=sha256:f2ff34256b6abce315419aec3794166005cb1fdcd700b2bed4f4a0b4c7ad732d

Observation 556020b2-7d2e-4bd2-87d8-b21416815c26 · inbound

Generalizing Test Cases for Comprehensive Test Scenario Coverage cites this paper.

Generalizing Test Cases for Comprehensive Test Scenario Coverage Unit Test Case Generation with Transformers and Focal Context

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:46:09.238527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-09T21:07:20.122491Z digest=sha256:22f568a96146d1858f9480b26acf4f3c58175b0e962fe26b9a554009c0bb4401

Observation b2c85eec-20ce-42c9-b4e6-1610affa2306 · inbound

PPO guided Agentic Pipeline for Adaptive Prompt Selection and Test Case Generation cites this paper.

PPO guided Agentic Pipeline for Adaptive Prompt Selection and Test Case Generation Unit Test Case Generation with Transformers and Focal Context

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:46:39.805439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-09T19:17:56.164183Z digest=sha256:53c8567a028397d2c33edbccbe37036294ecfc4b1c05685f4219f512b5678c89

Observation 47c57c74-38aa-43f9-a0da-c8458cb67047 · inbound

FeedbackLLM: Metadata driven Multi-Agentic Language Agnostic Test Case Generator with Evolving prompt and Coverage Feedback cites this paper.

FeedbackLLM: Metadata driven Multi-Agentic Language Agnostic Test Case Generator with Evolving prompt and Coverage Feedback Unit Test Case Generation with Transformers and Focal Context

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:46:07.805111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-09T15:04:59.096221Z digest=sha256:a12ec169e5be81badd06cfe1ddba2da136782410b077da0fab8b6a7934d3bb38

Observation f15ecbde-612b-4e13-8eb3-68a10d745fa1 · inbound

Sakura: An Approach for Generating Complex Tests from Natural Language Test Descriptions cites this paper.

Sakura: An Approach for Generating Complex Tests from Natural Language Test Descriptions Unit Test Case Generation with Transformers and Focal Context

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-06-28T18:42:29.416232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T18:40:49.564295Z digest=sha256:56ad9acb7e1eaeafacbe446e5e9ca4cf0b569885db38fe1f1f0067f33fcfa758

Observation e889990a-a2f2-41ae-84b1-8e7a6c73473c · inbound

Sakura: An Approach for Generating Complex Tests from Natural Language Test Descriptions cites this paper.

Sakura: An Approach for Generating Complex Tests from Natural Language Test Descriptions Unit Test Case Generation with Transformers and Focal Context

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-04T04:56:44.309506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:56:44.309506Z digest=sha256:752ada558201ab47f548cc922c02b81c311105da2a2cd59f4ba36e354c1ee1c0

Observation f2180aea-9bfb-4910-9f12-3ce0b6447abb · inbound

Leveraging Large Language Models to Obscure Code Stylometry: A Comparative Study of GPT-3.5 and GPT-4 cites this paper.

Leveraging Large Language Models to Obscure Code Stylometry: A Comparative Study of GPT-3.5 and GPT-4 Unit Test Case Generation with Transformers and Focal Context

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T09:09:43.436419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T10:25:26.559161Z digest=sha256:e2b77172b4c11d146d1297c7fe6e9eea3c26b2984187ec5c26abe22dcc9e394a

Observation 31e64468-25e9-435b-8925-c9dd1c143a01 · inbound

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

TATG: Tracking-Aware Testing Objective for LLM-based Test Generation Unit Test Case Generation with Transformers and Focal Context

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-12T04:13:54.470954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T04:13:54.470954Z digest=sha256:c3301f9a854e0158a8fe4e8eb7930904638174e4243b715755681c3a119f7b4d

Observation 4032237a-4c66-4c9a-93f1-a3a0cef201f1 · inbound

Teaching Code LLMs to Reason with Intermediate Formal Specifications cites this paper.

Teaching Code LLMs to Reason with Intermediate Formal Specifications Unit Test Case Generation with Transformers and Focal Context

Reference 34

Resolution
unresolved
no resolver link, observed 2026-07-11T20:47:20.640887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:47:20.640887Z digest=sha256:10db8b2c8735930597f0eaf1c4826cd333149d627191ef341b89fe35329a8cae

Observation d8b262c3-1f9d-45e3-a986-91bc255631ab · inbound

SCATE: Learning to Supervise Coding Agents for Cost-Effective Test Generation cites this paper.

SCATE: Learning to Supervise Coding Agents for Cost-Effective Test Generation Unit Test Case Generation with Transformers and Focal Context

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-13T01:15:01.090791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T01:15:01.090791Z digest=sha256:8cd9555450d24ad31eb69a368334f46ba387c1fc1321e935839ab83e74fe3cc2

Observation df0a4b28-ea4b-41f8-ab34-c008fb48efc6 · inbound

Multi-Agent LLM Collaboration for Unit Test Generation via Human-Testing-Inspired Workflows cites this paper.

Multi-Agent LLM Collaboration for Unit Test Generation via Human-Testing-Inspired Workflows Unit Test Case Generation with Transformers and Focal Context

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-13T05:24:45.090529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:24:45.090529Z digest=sha256:1762d5e79cec1cec0b0a75a92e317d0600a6c663d39857daa22b76bda000f6b6

Observation d06c5391-b8d0-4540-85ec-5d62305a1054 · inbound

ReProAgent: Tool-Augmented Multi-Stage Agentic Generation of Bug Reproduction Tests from Issue Reports cites this paper.

ReProAgent: Tool-Augmented Multi-Stage Agentic Generation of Bug Reproduction Tests from Issue Reports Unit Test Case Generation with Transformers and Focal Context

Reference 45

Resolution
unresolved
no resolver link, observed 2026-07-13T05:15:19.862435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:15:19.862435Z digest=sha256:3c7a815c88496d98e12204ff7dd3dbb1d7a46decccaa220fea23a496a6e4a796

Observation 5409bb10-9d28-4739-b390-dc2469672848 · inbound

Quantize with Confidence? An Empirical Study of Quantization for Code Generation cites this paper.

Quantize with Confidence? An Empirical Study of Quantization for Code Generation Unit Test Case Generation with Transformers and Focal Context

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T03:32:47.289669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:32:47.289669Z digest=sha256:8aacd599d42149e94c5986d98b9ab48d071259a83ee2893f98cc5ab029f0f521

Observation 848e410e-9c67-44ab-a1a7-5d2b1421b3c7 · inbound

Context Matters: Improving the Practical Reliability of LLM-Based Unit Test Generation cites this paper.

Context Matters: Improving the Practical Reliability of LLM-Based Unit Test Generation Unit Test Case Generation with Transformers and Focal Context

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-01T12:07:42.751520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:07:42.751520Z digest=sha256:3a5050ee570ca323416185b8c12ce82a23192fc4fe6856055d43696c9bcee386

Observation f2f4ae8f-cadd-4194-a745-3f4420ef8f00 · inbound

Do Coverage and Mutation Scores of LLM-Generated Test Suites Correlate with Their Effectiveness? (Replicability Study) cites this paper.

Do Coverage and Mutation Scores of LLM-Generated Test Suites Correlate with Their Effectiveness? (Replicability Study) Unit Test Case Generation with Transformers and Focal Context

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T15:31:40.383193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:31:40.383193Z digest=sha256:ea97bfa39243f6abfc4fad83fc5235484edbc41ee355505b2cbf837df1ec7664

Observation 8e65ae34-3fad-41aa-8b69-826be5dae597 · inbound

Evaluating and Mitigating the Misguidance Effect of Buggy Code in LLM-Generated Unit Tests cites this paper.

Evaluating and Mitigating the Misguidance Effect of Buggy Code in LLM-Generated Unit Tests Unit Test Case Generation with Transformers and Focal Context

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-15T15:32:18.317941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:32:18.317941Z digest=sha256:b94cad90c8e6c6268f352295811b73aedb2959a855b99afbb3027f4ec41c4b6f

Observation 1f762324-ebcf-4ba5-838a-6ce47d8dbb65 · inbound

Agent-Based Test Assertion Generation via Diverse Perspective Aggregation cites this paper.

Agent-Based Test Assertion Generation via Diverse Perspective Aggregation Unit Test Case Generation with Transformers and Focal Context

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T22:54:22.589524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:54:22.589524Z digest=sha256:3bc941e5c7879e66419e38223c056b9e3201d96db7e9126d8b47d4eb3f1f1b63