Paper Citation Record · LEDGER

CoverUp: Effective High Coverage Test Generation for Python

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2403.16218.

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

pith.paper-citation-record.v1
2403.16218 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:32:25.106636Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:25:47.084759Z

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 e8b7786e-d5e9-430e-989c-eaf75bba10f2 · inbound

Agentless: Demystifying LLM-based Software Engineering Agents cites this paper.

Agentless: Demystifying LLM-based Software Engineering Agents CoverUp: Effective High Coverage Test Generation for Python

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:12:22.486278Z

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.

Observation 485ecaa8-4b88-4788-b672-84ebbd05d125 · inbound

Large Language Model assisted Hybrid Fuzzing cites this paper.

Large Language Model assisted Hybrid Fuzzing CoverUp: Effective High Coverage Test Generation for Python

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:15:28.700040Z

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.

Observation e8953c38-63b4-4025-a2fc-7bf25033151d · inbound

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

A Contemporary Survey of Large Language Model Assisted Program Analysis CoverUp: Effective High Coverage Test Generation for Python

Reference 177

Resolution: unresolved; no resolver link, observed 2026-08-09T05:32:25.106636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b9cae3b-fcc1-490b-9184-5c93d47b9340 · inbound

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

Mutation-Guided Unit Test Generation with a Large Language Model CoverUp: Effective High Coverage Test Generation for Python

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:07:15.168691Z

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.

Observation e68b50a8-075c-4c9b-8aa1-3fdbd00c6864 · inbound

Combining Type Inference and Automated Unit Test Generation for Python cites this paper.

Combining Type Inference and Automated Unit Test Generation for Python CoverUp: Effective High Coverage Test Generation for Python

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T20:54:45.826107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9348b90-1678-4fc9-b671-858651a31507 · inbound

Hamster: A Large-Scale Study and Characterization of Developer-Written Tests cites this paper.

Hamster: A Large-Scale Study and Characterization of Developer-Written Tests CoverUp: Effective High Coverage Test Generation for Python

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-04T13:35:39.905305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ebdc8f3-4e03-4b67-9491-22098949a2fa · 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? CoverUp: Effective High Coverage Test Generation for Python

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T10:33:57.400108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1a0bbbd-ec53-41e7-b2d7-769449655b3e · inbound

LLM-Based Agentic Systems for Software Engineering: Challenges and Opportunities cites this paper.

LLM-Based Agentic Systems for Software Engineering: Challenges and Opportunities CoverUp: Effective High Coverage Test Generation for Python

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T10:30:40.939727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d1c65ae-c789-4f98-8286-6c6c503d7c69 · inbound

AgileLog: A Forkable Shared Log for Agents on Data Streams cites this paper.

AgileLog: A Forkable Shared Log for Agents on Data Streams CoverUp: Effective High Coverage Test Generation for Python

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:19:19.891656Z

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.

Observation ce37d1af-d2a4-4816-be78-10532f3eac5f · inbound

PBT-Bench: Benchmarking AI Agents on Property-Based Testing cites this paper.

PBT-Bench: Benchmarking AI Agents on Property-Based Testing CoverUp: Effective High Coverage Test Generation for Python

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T17:27:41.345594Z

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.

Observation ce995c0b-626f-4c9d-b3a8-b8683b5bc4f9 · inbound

PBT-Bench: Benchmarking AI Agents on Property-Based Testing cites this paper.

PBT-Bench: Benchmarking AI Agents on Property-Based Testing CoverUp: Effective High Coverage Test Generation for Python

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T07:59:50.094510Z

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.

Observation 7014964b-db58-4fe4-b05f-8f2729b22ead · inbound

PBT-Bench: Benchmarking AI Agents on Property-Based Testing cites this paper.

PBT-Bench: Benchmarking AI Agents on Property-Based Testing CoverUp: Effective High Coverage Test Generation for Python

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T14:25:47.086421Z

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.

Observation b8f619f6-98f5-4efc-b1f0-53f6f2adc196 · inbound

Sakura: An Approach for Generating Complex Tests from Natural Language Test Descriptions cites this paper.

Sakura: An Approach for Generating Complex Tests from Natural Language Test Descriptions CoverUp: Effective High Coverage Test Generation for Python

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-06-28T18:42:29.427623Z

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.

Observation 4dcf193c-339a-4522-865f-ce4cac2ff885 · inbound

Sakura: An Approach for Generating Complex Tests from Natural Language Test Descriptions cites this paper.

Sakura: An Approach for Generating Complex Tests from Natural Language Test Descriptions CoverUp: Effective High Coverage Test Generation for Python

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-04T04:56:44.266676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bff11e5b-d94d-4e65-8ef7-ae9725fbde6e · 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 CoverUp: Effective High Coverage Test Generation for Python

Reference 38

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 9f5ae903-2cc7-46d3-9e67-8e5c0f7ac709 · 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 CoverUp: Effective High Coverage Test Generation for Python

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-13T05:24:45.090529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb8872d2-dcff-4e28-84fc-5a52d570f902 · inbound

From Resource Flow to Executable Tests: Petri-Net-Guided LLM Test Generation for Concurrent Stateful Rust APIs cites this paper.

From Resource Flow to Executable Tests: Petri-Net-Guided LLM Test Generation for Concurrent Stateful Rust APIs CoverUp: Effective High Coverage Test Generation for Python

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T07:12:18.185803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 989bed0d-529e-4c45-a270-353a677e26aa · inbound

PROGRESS: Property-Guided Regression Search for Semantic Falsification cites this paper.

PROGRESS: Property-Guided Regression Search for Semantic Falsification CoverUp: Effective High Coverage Test Generation for Python

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T08:56:26.261196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.