Paper Citation Record · LEDGER

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations

As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.24896.

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

pith.paper-citation-record.v1
2607.24896 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T11:11:20.213808Z

measured 28 of 28 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

verified exact0
verified fuzzy0
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b4e065f3-9be8-4a17-9b36-832b308e9d53 · outbound

This paper cites Data mining methods for detection of new malicious executables,.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations Data mining methods for detection of new malicious executables,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:17.673013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c99c4e3e-762a-46ad-afcf-a589b55da14b · outbound

This paper cites Learning to detect and classify malicious executables in the wild,.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations Learning to detect and classify malicious executables in the wild,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:17.764534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01b4036a-804e-4323-add8-191cb7fd6ee0 · outbound

This paper cites EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:17.866131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be7f9d49-29b8-46c4-b155-4d847e068524 · outbound

This paper cites BOD- MAS: An open dataset for learning based temporal analysis of PE malware,.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations BOD- MAS: An open dataset for learning based temporal analysis of PE malware,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:17.977646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6a06994-a36b-4fea-9d9b-203fdfbc8411 · outbound

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

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations EMBER2024 -- A Benchmark Dataset for Holistic Evaluation of Malware Classifiers

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:18.117472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c12ee0f-8c57-4421-a645-68c7e1c43e49 · outbound

This paper cites LightGBM: A highly efficient gradient boosting decision tree,.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations LightGBM: A highly efficient gradient boosting decision tree,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:18.198202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2dc59fc-19ea-4c65-9e78-3bd00266f190 · outbound

This paper cites Malware Detection by Eating a Whole EXE.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations Malware Detection by Eating a Whole EXE

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:18.270456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e015526f-c686-4486-97ef-4f8d6de43ee0 · outbound

This paper cites Intriguing properties of neural networks,.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations Intriguing properties of neural networks,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:18.354928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bef567f-659a-4046-abad-905885491c75 · outbound

This paper cites Explaining and harnessing adversarial examples,.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations Explaining and harnessing adversarial examples,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:18.428465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14e5b545-9ef1-4a0f-95d9-4711c041dc01 · outbound

This paper cites Practical black-box attacks against machine learning,.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations Practical black-box attacks against machine learning,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:18.503205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bbfb855-3052-45cf-9ada-9b6b5d05f6f9 · outbound

This paper cites Evasion attacks against machine learning at test time,.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations Evasion attacks against machine learning at test time,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:18.580751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 542ac8b9-c7db-461a-8f58-88706da54d79 · outbound

This paper cites Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:18.683980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33fe9289-3ced-4515-9b2e-6a42261fb1c5 · outbound

This paper cites Adversarial malware binaries: Evading deep learning for malware detection in executables,.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations Adversarial malware binaries: Evading deep learning for malware detection in executables,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:18.783836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8de41991-dc74-4f38-bed2-f38ece454880 · outbound

This paper cites Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:18.927378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5b9ac7a-d7e2-4812-aa32-cc8b7bc7ab00 · outbound

This paper cites secml-malware: Pentesting Windows Malware Classifiers with Adversarial EXEmples in Python.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations secml-malware: Pentesting Windows Malware Classifiers with Adversarial EXEmples in Python

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:19.017260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers.

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 c6314e55-c1df-4a2e-9e89-aa676a212b13 · outbound

This paper cites A survey on practical adversarial examples for malware classifiers.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations A survey on practical adversarial examples for malware classifiers

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:19.196695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b65ac9bd-b9b1-4355-9652-564aeae61d08 · outbound

This paper cites an unresolved cited work.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:19.274263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3a09eac-5240-4f88-b055-f9380929e248 · outbound

This paper cites Nonlinear component analysis as a kernel eigenvalue problem,.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations Nonlinear component analysis as a kernel eigenvalue problem,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:19.357366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 500c9685-b943-446b-90d9-083706dd7ca1 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:19.447833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b169f53-163f-4bc6-88c6-7e15d103d8e7 · outbound

This paper cites Auto-encoding variational Bayes,.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations Auto-encoding variational Bayes,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:19.531824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d06a21f9-9b97-4a01-b7b8-eb7140c1503d · outbound

This paper cites Extracting and composing robust features with denoising autoencoders,.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations Extracting and composing robust features with denoising autoencoders,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:19.650826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cb42121-3436-4f86-b621-4c2ea850b164 · outbound

This paper cites beta-V AE: Learning basic visual concepts with a constrained variational framework,.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations beta-V AE: Learning basic visual concepts with a constrained variational framework,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:19.750847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4439cceb-0510-4b56-bdba-96510053914c · outbound

This paper cites an unresolved cited work.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:19.866838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6906695d-9764-45af-b6fb-6af8fd02fc68 · outbound

This paper cites Falconer,Fractal Geometry: Mathematical Foundations and Appli- cations.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations Falconer,Fractal Geometry: Mathematical Foundations and Appli- cations

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:19.944272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48d87231-ab3d-41f5-826e-65ede2317e59 · outbound

This paper cites an unresolved cited work.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:20.009395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecec3aea-fc6c-485e-955b-9e704e417562 · outbound

This paper cites Physics-informed neu- ral networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations Physics-informed neu- ral networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:20.123047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59f00c05-da04-4e30-a184-cefd14421dfb · outbound

This paper cites Characterizing possible failure modes in physics-informed neural networks,.

Latent Stability Analysis of Malware Representations Under Feature-Space Perturbations Characterizing possible failure modes in physics-informed neural networks,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-31T11:11:20.213808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.