Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2312.12575.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:01:16.105652Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T10:45:43.061376Z
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 15390e56-20ed-4974-80f4-af460d0c14df · inbound
XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants cites this paper.
XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T23:57:17.086140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a4f1c9de-b850-44b7-9fb2-c4ceaaf81f90 · 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 LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:01:16.105652Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f450ee49-39b8-4ee6-82a8-6824a1947f21 · inbound
Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges cites this paper.
Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks
Reference 80
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:35:05.983497Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ba98a77-e4f3-4c0b-8aeb-54fdb87972f6 · inbound
Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques cites this paper.
Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:24:28.904690Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 466ba651-e18b-424e-bade-bc8ad19b0068 · inbound
Rethinking LLM-Based RTL Code Optimization Via Timing Logic Metamorphosis cites this paper.
Rethinking LLM-Based RTL Code Optimization Via Timing Logic Metamorphosis LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:07:20.536909Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58e5ca18-62e4-43de-ba8b-c3b41903be0e · inbound
LogicEval: A Systematic Framework for Evaluating Automated Repair Techniques for Logical Vulnerabilities in Real-World Software cites this paper.
LogicEval: A Systematic Framework for Evaluating Automated Repair Techniques for Logical Vulnerabilities in Real-World Software LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks
Reference 13
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T11:11:03.926724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 99891289-6814-44ea-83bb-a4ada86260e3 · inbound
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage cites this paper.
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks
Reference 78
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-22T09:41:21.750390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e280e68f-1216-4b7d-9d5b-f34c9e5e8d36 · inbound
An Empirical Study of Security Calibration in Large Language Models for Code cites this paper.
An Empirical Study of Security Calibration in Large Language Models for Code LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T10:45:43.063064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.