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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2501.07425.

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

pith.paper-citation-record.v1
2501.07425 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:29:26.759864Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:16:26.250051Z

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 f7a04871-65e2-453c-9f9d-ebabc865160d · inbound

A Survey on LLM-based News Recommender Systems cites this paper.

A Survey on LLM-based News Recommender Systems Enhancing LLM's Ability to Generate More Repository-Aware Unit Tests Through Precise Contextual Information Injection

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-07T20:29:26.759864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:29:26.759864Z digest=sha256:444ab7c9cade6e2095612dd480a5bf03fc33ab162ea9e811e9ab7729a3b4cc92

Observation 05417907-f2da-432f-b8b2-a88ad85d1293 · inbound

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

Uncovering Business Logic Bugs via Semantics-Driven Unit Test Generation Enhancing LLM's Ability to Generate More Repository-Aware Unit Tests Through Precise Contextual Information Injection

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:16:26.255961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T06:05:24.395798Z digest=sha256:b9d523df30defbe37f878a4038b1fca00c83677d0e9f334ce2152cb3965da63b

Observation 12c4200b-d437-4ffd-a9cc-6239ef9daf5e · inbound

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

Uncovering Business Logic Bugs via Semantics-Driven Unit Test Generation Enhancing LLM's Ability to Generate More Repository-Aware Unit Tests Through Precise Contextual Information Injection

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-04T05:26:35.537491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:26:35.537491Z digest=sha256:3520b61eb5925401bf3f7100450e94f8814af312987db8e22a5983b2095dc973

Observation 93659039-75e8-4b70-bf11-54a10d4d197d · inbound

Knowledge-Guided Synthetic Bug Feedback for LLM-Based Unit Test Generation cites this paper.

Knowledge-Guided Synthetic Bug Feedback for LLM-Based Unit Test Generation Enhancing LLM's Ability to Generate More Repository-Aware Unit Tests Through Precise Contextual Information Injection

Reference 47

Resolution
unresolved
no resolver link, observed 2026-07-14T04:41:25.415066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T04:41:25.415066Z digest=sha256:dcff6531b9599744c2757312af680599c3d7dc3b1c2159149bbc7eeed340e62c

Observation b22bbfa3-64b4-43cf-ac1d-8ae499697636 · 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 Enhancing LLM's Ability to Generate More Repository-Aware Unit Tests Through Precise Contextual Information Injection

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-01T12:07:44.431345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:07:44.431345Z digest=sha256:51e6c925c8acfddb2ee265a0fc654df44201eec00c7f736bce2fbffc4a70108d