Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.01359.
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 2026-08-06T00:12:44.013859Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T06:52:40.005999Z
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 4dbcedac-7b34-49fa-8ae8-9991cf0bc508 · 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 TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)
Reference 166
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T06:52:40.008408Z
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 21715484-6bf0-4f8f-83db-ba06b7fc81bd · inbound
SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity cites this paper.
SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:15:09.977417Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 431f2a09-76d2-4eb9-a3db-214d9ca201cc · inbound
A Comprehensive Evaluation of Code Language Models for Security Patch Detection cites this paper.
A Comprehensive Evaluation of Code Language Models for Security Patch Detection TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)
Reference 22
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-14T18:42:37.219964Z
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 07323350-3fad-4dbf-b631-fed781e935a7 · inbound
Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning cites this paper.
Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T04:53:04.033865Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 682bef6d-5863-4aa0-bdcd-db50a4b18a78 · inbound
How Benchmarks and Evaluation Protocols Shape Conclusions in Provenance-Based Intrusion Detection cites this paper.
How Benchmarks and Evaluation Protocols Shape Conclusions in Provenance-Based Intrusion Detection TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:12:44.013859Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.