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Paper Citation Record · LEDGER

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

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2408.03095.

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

pith.paper-citation-record.v1
2408.03095 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:44:09.258942Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T00:06:37.968483Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 32ec449b-6ade-47ce-a1d2-8a31baf9a7c8 · inbound

RIRO: Reshaping Inputs, Refining Outputs Unlocking the Potential of Large Language Models in Data-Scarce Contexts cites this paper.

RIRO: Reshaping Inputs, Refining Outputs Unlocking the Potential of Large Language Models in Data-Scarce Contexts TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration

Reference 13

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no resolver link, observed 2026-08-11T15:12:04.739489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:12:04.739489Z digest=sha256:33be422ea3426a5b1274dd5bb7c170e555298fd23242a51b0f2f782dda7ad8a1

Observation 5f8ee9af-dac3-4222-b60c-d3231b219238 · 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 TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration

Reference 19

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no resolver link, observed 2026-08-11T10:27:17.895379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:27:17.895379Z digest=sha256:226da3961766f6aa1f79cb9a013f0b9aeda28b3e2788ccc73cd2e05aad1c8621

Observation fcac6780-c3e3-456c-85b3-b65f63ab954c · inbound

A Contemporary Survey of Large Language Model Assisted Program Analysis cites this paper.

A Contemporary Survey of Large Language Model Assisted Program Analysis TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration

Reference 171

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no resolver link, observed 2026-08-09T05:32:25.070753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:32:25.070753Z digest=sha256:46b7845476b986a6cfb535c1856b6bbb533d2e6c18278e17633630f8eaaaf3e0

Observation ede8993e-ba8f-49b7-a78a-02bd16c75ae7 · inbound

Mutation-Guided Unit Test Generation with a Large Language Model cites this paper.

Mutation-Guided Unit Test Generation with a Large Language Model TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration

Reference 35

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verified exact
arxiv_id, observed 2026-05-19T11:07:15.233437Z

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.

source=pdf_text observed=2026-05-19T11:05:15.898419Z digest=sha256:fa21d5f6b2ffcd555711bad823f4e82f093ef2e8c0c7157a292ec016e6afb58c

Observation fed6b5bf-976c-4d49-93eb-967d7b8d53cb · inbound

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

Large Language Models for Unit Testing: A Systematic Literature Review TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration

Reference 30

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no resolver link, observed 2026-08-15T19:44:09.258942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:44:09.258942Z digest=sha256:ef19e3833cbb9fa5ef266e5fc97b0477cb207c6d784a91785b1acde17b21944b

Observation 80cf230c-d9ba-41d1-90f5-b62e0adc921f · inbound

Are They All Good? Evaluating the Quality of CoTs in LLM-based Code Generation cites this paper.

Are They All Good? Evaluating the Quality of CoTs in LLM-based Code Generation TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration

Reference 10

Resolution
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no resolver link, observed 2026-08-06T18:57:13.017270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:57:13.017270Z digest=sha256:e545fbf1208f1cf126f7da3bef99c9ac14eb45c7f391c48f866012b17f449f0c

Observation f49a4b77-80e1-4e38-b628-ccf4b2176233 · 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 TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration

Reference 17

Resolution
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no resolver link, observed 2026-08-06T14:57:26.298450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:57:26.298450Z digest=sha256:33aabffdc4a16eb106313f3d7e2d3b0862e22f3c15e95a449772f2073e689f22

Observation adccf0a0-d831-4493-8dd4-5b5e1ec635d8 · inbound

YATE: The Role of Test Repair in LLM-Based Unit Test Generation cites this paper.

YATE: The Role of Test Repair in LLM-Based Unit Test Generation TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration

Reference 18

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no resolver link, observed 2026-08-15T18:21:02.297279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:21:02.297279Z digest=sha256:af2a5171061585c6e1492dfed572595fd91aaf6b12933153a756ff229b63155e

Observation c1e65c02-8f74-437b-95c2-3504549113bc · 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 TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration

Reference 29

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no resolver link, observed 2026-08-03T21:41:43.961328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:41:43.961328Z digest=sha256:07ccb8507d15a3a0324f1181e200618849ee132062830f4b9e2991445aa534bb

Observation 133c99d9-723f-478d-9b9c-46083591f201 · inbound

How well LLM-based test generation techniques perform with newer LLM versions? cites this paper.

How well LLM-based test generation techniques perform with newer LLM versions? TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration

Reference 24

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no resolver link, observed 2026-08-03T10:33:58.647886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:33:58.647886Z digest=sha256:e78f657d3167c6f051316a2935e3e85f59f8060007987e9e670c7a4d2fc21905

Observation 6544c58d-c48f-4345-a78f-d27df36420bc · 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 TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration

Reference 18

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metadata mismatch
arxiv_id, observed 2026-05-13T21:38:18.762424Z

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.

source=pdf_text observed=2026-05-13T21:36:14.478007Z digest=sha256:c6ce2c02d303d75c556c9ca5e0c6685387eaab484f103be09e027141d61b8682

Observation 598ebb24-c6f2-48b5-bd37-15e5c4c2dbb3 · inbound

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

An Iterative Test-and-Repair Framework for Competitive Code Generation TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration

Reference 58

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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:d8afd652a4274f2006bd5d543f517299cb75806e5f75ff8ce7179be2d0ab73ac

Observation 380044d2-0db7-4e97-99a7-04fa848de937 · inbound

Generating Complex Code Analyzers from Natural Language Questions cites this paper.

Generating Complex Code Analyzers from Natural Language Questions TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:41:26.737516Z

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.

source=pdf_text observed=2026-05-12T05:02:19.519786Z digest=sha256:f0b87022177237a3d56832f47e6193c09cbe7441faf367c6a0e52cb4fb84dcee

Observation 40a1ba28-df52-49db-8917-9f44a30820bb · inbound

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

TATG: Tracking-Aware Testing Objective for LLM-based Test Generation TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration

Reference 4

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=sha256:6ba4dde6e78030985a6f4123eb71d0f124fee76c6e47f1ba5635b54261d5012d

Observation 74a8218e-fa88-4365-9149-1b2c1b93a272 · inbound

Mining Workflow Graphs for Black-Box Boundary Testing of Conversational LLM Agents cites this paper.

Mining Workflow Graphs for Black-Box Boundary Testing of Conversational LLM Agents TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-07-10T00:06:37.970137Z

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.

source=pdf_text observed=2026-07-10T00:02:58.383840Z digest=sha256:a2a194364cab2864ce01cd3e304bb4221e0ed4e61c20ce0c80c55f6aeaf960d0

Observation 6be6b65a-fb44-4d87-a4cb-2c6551ffb818 · 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 TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration

Reference 32

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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:da8e0529acd2a63f503901bee93ade8e7c2e694bbe4800ead3143c462de7b778

Observation 5aeeffed-277b-42f0-9968-0ceda34c7ff3 · 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 TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration

Reference 21

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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=sha256:27ffefc6bd304134fb39a08be1ab5475bc42ade633fd7b70cd254b75b2bb114d