Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enhancing Reverse Engineering: Investigating and Benchmarking Large Language Models for Vulnerability Analysis in Decompiled Binaries
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.04981.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:06:37.812190Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-08T16:05:06.179986Z
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 6ea2d2d5-ccac-46bc-a40d-a914aecbacdc · inbound
ReCopilot: Reverse Engineering Copilot in Binary Analysis cites this paper.
ReCopilot: Reverse Engineering Copilot in Binary Analysis Enhancing Reverse Engineering: Investigating and Benchmarking Large Language Models for Vulnerability Analysis in Decompiled Binaries
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:06:37.812190Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52641185-079a-436b-aff5-d00d4198b1e3 · inbound
Analyzing Chain of Thought (CoT) Approaches in Control Flow Code Deobfuscation Tasks cites this paper.
Analyzing Chain of Thought (CoT) Approaches in Control Flow Code Deobfuscation Tasks Enhancing Reverse Engineering: Investigating and Benchmarking Large Language Models for Vulnerability Analysis in Decompiled Binaries
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T11:25:18.490729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5a238931-870e-485b-88db-d1c2a0914252 · inbound
Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries cites this paper.
Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries Enhancing Reverse Engineering: Investigating and Benchmarking Large Language Models for Vulnerability Analysis in Decompiled Binaries
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T16:05:06.181526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.