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Paper Citation Record · LEDGER

MORPH: Towards Automated Concept Drift Adaptation for Malware Detection

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.12790.

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

pith.paper-citation-record.v1
2401.12790 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:31:48.675828Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6d4d34af-22ef-42fb-8c03-2cfe7911b962 · inbound

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation cites this paper.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation MORPH: Towards Automated Concept Drift Adaptation for Malware Detection

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T14:28:31.052696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:28:31.052696Z digest=sha256:e516ae846c241ed237fa9a8d7b27695109deba5e125ce9dbd85479ac8d5b68ff

Observation 66eb1f3d-297a-450c-8919-9a5073f4bd65 · inbound

ADAPT: A Pseudo-labeling Approach to Combat Concept Drift in Malware Detection cites this paper.

ADAPT: A Pseudo-labeling Approach to Combat Concept Drift in Malware Detection MORPH: Towards Automated Concept Drift Adaptation for Malware Detection

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:59.719543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:59.719543Z digest=sha256:db38147348a40f60cb3f09e780241ebca138cbdf4a3d3d3e4e55bad4978754de

Observation 13328e82-d1ec-4444-82d0-a2e417ccb063 · inbound

Understanding Concept Drift with Deprecated Permissions in Android Malware Detection cites this paper.

Understanding Concept Drift with Deprecated Permissions in Android Malware Detection MORPH: Towards Automated Concept Drift Adaptation for Malware Detection

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T12:01:38.895720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:01:38.895720Z digest=sha256:9e6bdccd2c7936ddbf9c494bf56a64e47890b51e7f254838b47e9c38d7d84a53

Observation 226b2c38-9cbb-4847-a85a-df647921bbbb · 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 MORPH: Towards Automated Concept Drift Adaptation for Malware Detection

Reference 66

Resolution
verified exact
local_arxiv, observed 2026-08-06T11:21:38.268518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T11:21:38.242860Z digest=sha256:d1a91b1e1e537d0f3750bd5fa2a498c9022309d1eb9c60672f873624d59d7ecb

Observation ee001018-5803-4221-9c5f-95c4e02bb351 · inbound

Concept Drift Detection and Adaptive Retraining of Malware Classification Models cites this paper.

Concept Drift Detection and Adaptive Retraining of Malware Classification Models MORPH: Towards Automated Concept Drift Adaptation for Malware Detection

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-14T10:31:48.675828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:31:48.675828Z digest=sha256:618b368333115194a042d939b79eae4faa70732f21d0ba30302d9a4899aadf98