Pith. sign in

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 2026-08-10T06:31:04.303077+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.

source=pdf_text observed=2026-08-10T18:46:26.649409Z digest=sha256:e28400bc7e41d6a9f4f75a566dbe50469bb1810c22767f5cb4e168390c90bb32

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.

source=pdf_text observed=2026-08-09T05:32:25.082193Z digest=sha256:599a1f5276507557eb6b80b768070e6de2b2dc6af206ebca96118cb9043df3d0

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.

source=pdf_text observed=2026-08-06T14:57:26.336100Z digest=sha256:5eeac940ebc0ef33b823de10e555b3584a47595deebcc252e832a04ecf352747

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T06:05:24.395798Z digest=sha256:95c917ef183eef0f48fa0fc0d525b6f161d8c26c4a561cd699b2fe186173f167

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.

source=pdf_text observed=2026-08-04T05:26:34.380095Z digest=sha256:407a421baa57a9c84e24ca1ee76433a0435f76779837d674ba5b1abf116a7f03

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.

source=pdf_text observed=2026-08-01T03:57:40.762460Z digest=sha256:7f5a98ca96c73d8dae3284b55a618ff14d12b469f563559d0df1288818f373e5