Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Pop Quiz! Can a Large Language Model Help With Reverse Engineering?
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2202.01142.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T05:18:07.638332Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T04:23:57.364355Z
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 895ab677-cbca-498b-af6e-e0f051de60d0 · inbound
Aero-LLM: A Distributed Framework for Secure UAV Communication and Intelligent Decision-Making cites this paper.
Aero-LLM: A Distributed Framework for Secure UAV Communication and Intelligent Decision-Making Pop Quiz! Can a Large Language Model Help With Reverse Engineering?
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T05:18:07.638332Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f8befee-e8ae-413b-9e88-b2a1811068bb · inbound
Feedback-Driven Execution for LLM-Based Binary Analysis cites this paper.
Feedback-Driven Execution for LLM-Based Binary Analysis Pop Quiz! Can a Large Language Model Help With Reverse Engineering?
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T10:44:37.895734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a7e287ea-98e8-498a-b55f-e9c6f85b5173 · inbound
Leveraging LLMs for Grammar Adaptation: A Study on Metamodel-Grammar Co-Evolution cites this paper.
Leveraging LLMs for Grammar Adaptation: A Study on Metamodel-Grammar Co-Evolution Pop Quiz! Can a Large Language Model Help With Reverse Engineering?
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T04:23:57.366117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.