Paper Citation Record · LEDGER

HITS: High-coverage LLM-based Unit Test Generation via Method Slicing

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.11324.

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

pith.paper-citation-record.v1
2408.11324 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:46:26.649409Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:16:26.317151Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
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 b43e1542-e9ea-4b54-8a2a-f9f106653a73 · inbound

Evaluating LLM-Based Regression Test Generation cites this paper.

Evaluating LLM-Based Regression Test Generation HITS: High-coverage LLM-based Unit Test Generation via Method Slicing

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T18:46:26.649409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f6a25c7-b5f7-4ae8-8701-3fdbdd58a001 · inbound

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

A Contemporary Survey of Large Language Model Assisted Program Analysis HITS: High-coverage LLM-based Unit Test Generation via Method Slicing

Reference 155

Resolution: unresolved; no resolver link, observed 2026-08-09T05:32:25.082193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9990b18c-e16d-4c90-8f28-8f643b72a72e · 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 HITS: High-coverage LLM-based Unit Test Generation via Method Slicing

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T14:57:26.336100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffdc4e5c-f75d-4fae-826a-65bf00dd1479 · inbound

Uncovering Business Logic Bugs via Semantics-Driven Unit Test Generation cites this paper.

Uncovering Business Logic Bugs via Semantics-Driven Unit Test Generation HITS: High-coverage LLM-based Unit Test Generation via Method Slicing

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:16:26.322988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 21805403-b8eb-487a-afed-10078cab5635 · inbound

Uncovering Business Logic Bugs via Semantics-Driven Unit Test Generation cites this paper.

Uncovering Business Logic Bugs via Semantics-Driven Unit Test Generation HITS: High-coverage LLM-based Unit Test Generation via Method Slicing

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T05:26:34.380095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c72079c3-cb88-4ff8-bbd8-11d56d9f99b7 · inbound

Adversarial Test-Hardening for AI-Written Code: An Instrument Autopsy and a Pre-Registered Causal Estimate of the Critic Loop cites this paper.

Adversarial Test-Hardening for AI-Written Code: An Instrument Autopsy and a Pre-Registered Causal Estimate of the Critic Loop HITS: High-coverage LLM-based Unit Test Generation via Method Slicing

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T03:57:40.762460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.