Pith. sign in

Paper Citation Record · LEDGER

Microsoft Malware Classification Challenge

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1802.10135.

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

pith.paper-citation-record.v1
1802.10135 v1

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 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:54:00.212092Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T20:21:08.626745Z

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 eb98a809-9a8b-466c-ac15-4c3df038fb0d · 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 Microsoft Malware Classification Challenge

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T19:54:00.212092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:00.212092Z digest=sha256:690543c605ed92e59c7782cb62e3bf12e03c3ff8ddefc403f76c5a920fec79d8

Observation 504f8ac7-24b2-4fd2-adb6-263c0547ee71 · inbound

FedP3E: Privacy-Preserving Prototype Exchange for Non-IID IoT Malware Detection in Cross-Silo Federated Learning cites this paper.

FedP3E: Privacy-Preserving Prototype Exchange for Non-IID IoT Malware Detection in Cross-Silo Federated Learning Microsoft Malware Classification Challenge

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T18:54:35.121164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:54:35.121164Z digest=sha256:8f2b6e4a9ff6075a597957e4163c9f403e4eead63e2fd2c143ccfcec255bc023

Observation 88f2f2c3-c1b7-44dc-a00a-e930bd131e55 · inbound

Cross-Domain Malware Detection via Probability-Level Fusion of Lightweight Gradient Boosting Models cites this paper.

Cross-Domain Malware Detection via Probability-Level Fusion of Lightweight Gradient Boosting Models Microsoft Malware Classification Challenge

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T13:35:46.508884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:35:46.508884Z digest=sha256:bbc86a4ecf73ec4cd3a964f5b613238da339832f2d325076cc7ebace96bb70ac

Observation 55fc7712-06ee-424e-8af2-152094cdf656 · inbound

Signal-Based Malware Classification Using 1D CNNs cites this paper.

Signal-Based Malware Classification Using 1D CNNs Microsoft Malware Classification Challenge

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-04T23:32:53.135936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:32:53.135936Z digest=sha256:3b6ae91f0bd4710c078c13ef23b0a1802eea44cb0ba8c2e286a8f772e77a0eed

Observation f310a6fc-05bf-4ab4-b564-d000bb666f02 · 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 Microsoft Malware Classification Challenge

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-04T22:35:01.999167Z

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.

source=pdf_text observed=2026-05-08T09:34:17.991210Z digest=sha256:0fe7425f5d40a165f77babb82df896a469a4d54a7e32f0c79aee1e2854aeced4

Observation 60817139-4b68-462c-aeda-78c40a63b2d9 · inbound

HilEnT: Hilbert, Entropy Transformed Image Based Malware Detection cites this paper.

HilEnT: Hilbert, Entropy Transformed Image Based Malware Detection Microsoft Malware Classification Challenge

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-11T13:45:44.122973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T13:45:44.122973Z digest=sha256:254f9c237357d05a5e692c9180f90ab053003adc6b81fa82f590aeb8c22ca413