Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2012.07634.
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 2026-08-07T10:30:13.779822Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T12:54:40.517639Z
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 df0c8fdd-37a4-4a6f-8a17-49de10378fd2 · inbound
EMBER2024 -- A Benchmark Dataset for Holistic Evaluation of Malware Classifiers cites this paper.
EMBER2024 -- A Benchmark Dataset for Holistic Evaluation of Malware Classifiers SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:30:13.779822Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51756964-aff3-4601-987b-a4fe76c5cfec · inbound
Adaptive Malware Detection using Sequential Feature Selection: A Dueling Double Deep Q-Network (D3QN) Framework for Intelligent Classification cites this paper.
Adaptive Malware Detection using Sequential Feature Selection: A Dueling Double Deep Q-Network (D3QN) Framework for Intelligent Classification SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:53:59.522211Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fcd705c-f2b2-4f70-ba42-34b7310e9add · inbound
Trident: Improving Malware Detection with LLMs and Behavioral Features cites this paper.
Trident: Improving Malware Detection with LLMs and Behavioral Features SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T15:36:10.587462Z
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 a0f0fb49-874b-4b43-88d2-9ca181043e6b · inbound
LCC-LLM: Leveraging Code-Centric Large Language Models for Malware Attribution cites this paper.
LCC-LLM: Leveraging Code-Centric Large Language Models for Malware Attribution SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:21:08.531350Z
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 4ed3504b-4c02-49cf-a580-1b63a6767a51 · inbound
Cybersecurity is the True Frontier for Generative AI Success or Failure cites this paper.
Cybersecurity is the True Frontier for Generative AI Success or Failure SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection
Reference 91
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T12:54:40.519091Z
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.