Paper Citation Record · LEDGER

Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.12986.

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

pith.paper-citation-record.v1
2408.12986 v2

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 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:09:02.715563Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T06:52:39.965646Z

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 38116eb1-884f-4cd7-b2f6-7886ae066202 · inbound

Direction for Detection: A Survey of Automated Vulnerability Detection and all of its Pain Points cites this paper.

Direction for Detection: A Survey of Automated Vulnerability Detection and all of its Pain Points Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection

Reference 170

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:52:39.967700Z

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 7b699048-842e-4883-9dba-57fea2a401c2 · inbound

UntrustVul: An Automated Approach for Identifying Untrustworthy Alerts in Vulnerability Detection Models cites this paper.

UntrustVul: An Automated Approach for Identifying Untrustworthy Alerts in Vulnerability Detection Models Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-23T00:12:17.624805Z

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 b4a8d715-be84-4840-93d7-b4371af59214 · inbound

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection cites this paper.

SecVulEval: Benchmarking LLMs for Real-World C/C++ Vulnerability Detection Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:09:02.715563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe00f8e1-c40c-426b-af2e-4323db587e0e · inbound

Mono: Is Your "Clean" Vulnerability Dataset Really Solvable? Exposing and Trapping Undecidable Patches and Beyond cites this paper.

Mono: Is Your "Clean" Vulnerability Dataset Really Solvable? Exposing and Trapping Undecidable Patches and Beyond Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:01:16.146260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3efeeb42-da94-4ed7-a9a1-a2fd0e91f5d8 · inbound

An Empirical Study of Vulnerabilities in Python Packages and Their Detection cites this paper.

An Empirical Study of Vulnerabilities in Python Packages and Their Detection Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T10:16:13.487129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation facaf747-2f2f-41fd-8127-7ef62b499e9f · inbound

DREA: Decoupled Reasoning and Exploration Agents for Repository-Level Vulnerability Detection cites this paper.

DREA: Decoupled Reasoning and Exploration Agents for Repository-Level Vulnerability Detection Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T05:13:52.981845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.