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Paper Citation Record · LEDGER

MalBERT: Using Transformers for Cybersecurity and Malicious Software Detection

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2103.03806.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2103.03806 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:51:32.510312Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T15:36:10.627419Z

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 bae96696-fe95-4f65-b1db-05e1ef2e30ce · inbound

Detection of LLM-Generated Java Code Using Discretized Nested Bigrams cites this paper.

Detection of LLM-Generated Java Code Using Discretized Nested Bigrams MalBERT: Using Transformers for Cybersecurity and Malicious Software Detection

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-08T20:51:32.510312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:51:32.510312Z digest=sha256:76029799384a1f2376bf9ffba983ccc530de4ecf955ad12d88bd6f95e5c8358b

Observation 0b98fd28-c623-4e79-9a29-03344ca1ac51 · inbound

Empirical Evaluation of Concept Drift in ML-Based Android Malware Detection cites this paper.

Empirical Evaluation of Concept Drift in ML-Based Android Malware Detection MalBERT: Using Transformers for Cybersecurity and Malicious Software Detection

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T11:21:38.166867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:21:38.166867Z digest=sha256:f07f762b40a2f3563c7d508e55ce252d94624d8ed8a0df9417725c2981199377

Observation b9de6634-f9a0-4235-b536-eda711faea23 · inbound

Trident: Improving Malware Detection with LLMs and Behavioral Features cites this paper.

Trident: Improving Malware Detection with LLMs and Behavioral Features MalBERT: Using Transformers for Cybersecurity and Malicious Software Detection

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:36:10.630265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T19:32:18.748064Z digest=sha256:2edb916d840dba1250db2b03000ce2415359e0464b5582b14832e38d59ee4218