Paper Citation Record · LEDGER

TOGLL: Correct and Strong Test Oracle Generation with LLMs

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2405.03786.

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

pith.paper-citation-record.v1
2405.03786 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 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 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:09:16.802878Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T16:33:39.597271Z

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 1f0e39e4-aa53-47cf-9017-1688107db656 · 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 TOGLL: Correct and Strong Test Oracle Generation with LLMs

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T17:10:28.001036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dc01ce8-c3bb-4c3f-84ef-f062e63af7f1 · 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 TOGLL: Correct and Strong Test Oracle Generation with LLMs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T10:27:17.909746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f65e4885-0583-4c9e-8ec7-a6f4fc6255d5 · 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 TOGLL: Correct and Strong Test Oracle Generation with LLMs

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-09T11:26:46.063829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 629cf6be-89ad-463c-8a48-37c777e023de · inbound

COFFE: A Code Efficiency Benchmark for Code Generation cites this paper.

COFFE: A Code Efficiency Benchmark for Code Generation TOGLL: Correct and Strong Test Oracle Generation with LLMs

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T11:01:27.720307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 577e4f86-1f7a-4eca-8c75-e6c058ae3677 · inbound

Harden and Catch for Just-in-Time Assured LLM-Based Software Testing: Open Research Challenges cites this paper.

Harden and Catch for Just-in-Time Assured LLM-Based Software Testing: Open Research Challenges TOGLL: Correct and Strong Test Oracle Generation with LLMs

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T11:09:16.802878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2d2ce3a-6682-4037-9fee-2b7a173c5406 · inbound

Navigating the growing field of research on AI for software testing -- the taxonomy for AI-augmented software testing and an ontology-driven literature survey cites this paper.

Navigating the growing field of research on AI for software testing -- the taxonomy for AI-augmented software testing and an ontology-driven literature survey TOGLL: Correct and Strong Test Oracle Generation with LLMs

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T19:53:52.186959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5fd9384-8601-468c-9eb2-53bae53c1d0d · inbound

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

Large Language Models for Unit Testing: A Systematic Literature Review TOGLL: Correct and Strong Test Oracle Generation with LLMs

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T19:44:09.287854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20b1339d-01a2-415a-8a24-71cf79cde8c1 · 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 TOGLL: Correct and Strong Test Oracle Generation with LLMs

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:37:11.591706Z

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.

Observation 70a9f26f-4339-4752-b6e2-5fd1af948d3f · 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? TOGLL: Correct and Strong Test Oracle Generation with LLMs

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T10:33:59.849666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5e94590-21bd-47de-ab95-e54c619276d4 · inbound

On the Effectiveness of Modular Testing in EvoSuite cites this paper.

On the Effectiveness of Modular Testing in EvoSuite TOGLL: Correct and Strong Test Oracle Generation with LLMs

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:36:26.229679Z

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.

Observation ec8dbf1f-ef85-4c42-b1c5-d3a6026a1a1a · inbound

LLM-based Mockless Unit Test Generation for Java cites this paper.

LLM-based Mockless Unit Test Generation for Java TOGLL: Correct and Strong Test Oracle Generation with LLMs

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-29T16:33:39.598820Z

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.

Observation b127f97d-495c-4f39-a80e-09e57235dd18 · inbound

BeSpec: Behavior-Level Specification Alignment for Code Generation cites this paper.

BeSpec: Behavior-Level Specification Alignment for Code Generation TOGLL: Correct and Strong Test Oracle Generation with LLMs

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-12T05:53:52.470666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d05341ca-0376-4a00-b560-0d780412ce72 · inbound

On the risk of coding before testing: An empirical study on LLM-based test generation workflow cites this paper.

On the risk of coding before testing: An empirical study on LLM-based test generation workflow TOGLL: Correct and Strong Test Oracle Generation with LLMs

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-11T08:12:23.512737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5023ccb5-fe7f-4652-8a88-400d5a322de7 · inbound

RESTOR: Automated Test Oracle Generation for RESTful APIs via Reinforcement Learning cites this paper.

RESTOR: Automated Test Oracle Generation for RESTful APIs via Reinforcement Learning TOGLL: Correct and Strong Test Oracle Generation with LLMs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-31T23:28:25.004883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cd6e2e8-5672-4516-a13f-9301b2efc1fc · inbound

Judging Is Not Enumerating: Silent Omissions in LLM-Authored Acceptable Sets cites this paper.

Judging Is Not Enumerating: Silent Omissions in LLM-Authored Acceptable Sets TOGLL: Correct and Strong Test Oracle Generation with LLMs

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T00:43:00.408314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c33758a0-1c13-4a28-bdda-c7af9adf5a8d · inbound

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

Agent-Based Test Assertion Generation via Diverse Perspective Aggregation TOGLL: Correct and Strong Test Oracle Generation with LLMs

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T22:54:22.431869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.