Paper Citation Record · LEDGER

MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2003.03100.

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

pith.paper-citation-record.v1
2003.03100 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:30:48.454670Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:36:15.020986Z

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 7add4ac2-4380-407f-856b-c1ba652032d3 · inbound

EMBER2024 -- A Benchmark Dataset for Holistic Evaluation of Malware Classifiers cites this paper.

EMBER2024 -- A Benchmark Dataset for Holistic Evaluation of Malware Classifiers MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:13.889755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27ab69a0-cd4b-4de4-87db-dc629411399f · inbound

Adversarial Co-Evolution of Malware and Detection Models: A Bilevel Optimization Perspective cites this paper.

Adversarial Co-Evolution of Malware and Detection Models: A Bilevel Optimization Perspective MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:36:15.023294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d02141cd-fce2-434e-96d0-4f831083da83 · inbound

Gray-Box Poisoning of Continuous Malware Ingestion Pipelines cites this paper.

Gray-Box Poisoning of Continuous Malware Ingestion Pipelines MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:40:41.335039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9da343ba-214f-4f13-9dab-d897c7e5919a · inbound

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations cites this paper.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:19.121049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5179bfb1-98be-4cd5-a79c-1a8059f62d3d · inbound

Empirical Analysis of Evasion and Poisoning Against Malware Data Drift Detection cites this paper.

Empirical Analysis of Evasion and Poisoning Against Malware Data Drift Detection MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T15:25:29.751180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b19fd4f1-7fde-4351-a654-b450756b86f7 · inbound

Empirical Analysis of Evasion and Poisoning Against Malware Data Drift Detection cites this paper.

Empirical Analysis of Evasion and Poisoning Against Malware Data Drift Detection MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T04:30:48.454670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.