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Paper Citation Record · LEDGER

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation

As of 22 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2505.18734.

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

pith.paper-citation-record.v1
2505.18734 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:28:35.253960Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

35 of 35 outbound references displayed

  • verified exact3
  • verified fuzzy14
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 449ce06b-226b-47f8-bb14-d5bbb3b3e9fe · outbound

This paper cites write newline.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation write newline

Reference 1

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unresolved
no resolver link, observed 2026-08-07T14:28:30.901815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:28:30.901815Z digest=sha256:33e0c82ddd41fbcf5a4dc2c5f569a8eef164a14eac6057a950fab6b5572e5bd5

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

This paper cites MORPH: Towards Automated Concept Drift Adaptation for Malware Detection.

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

Reference 2

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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=sha256:50f2a8cc0c587106abad3fb66d5597d7d4cfb21a7b7bf0abc5ab7c4587c12ec0

Observation bcb3d6f6-7c8a-40c8-bfa2-512d746bce8b · outbound

This paper cites Drebin: Effective and explainable detection of android malware in your pocket.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation Drebin: Effective and explainable detection of android malware in your pocket

Reference 3

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unresolved
no resolver link, observed 2026-08-07T14:28:31.193479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:28:31.193479Z digest=sha256:298e212f1d4ffa3da58c4d18237a044d9e194c216768f132ca6b6fa95b05d222

Observation 3f76296c-886d-4bc1-984d-e825929254cc · outbound

This paper cites Transcending transcend: Revisiting malware classification in the presence of concept drift.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation Transcending transcend: Revisiting malware classification in the presence of concept drift

Reference 4

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unresolved
no resolver link, observed 2026-08-07T14:28:31.369299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:28:31.369299Z digest=sha256:10c88449599912cfe0290eefd18cdae90d9a1952c4b14eccf094f4f580e861a2

Observation 40de9e6f-33ad-4bb3-8c52-b3b415489507 · outbound

This paper cites and Vapnik, V.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation and Vapnik, V

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:28:41.106938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T14:28:31.505302Z digest=sha256:10c8fa7f604d52919f9011b7e904ff6cee27b9098db54a9be604d99a7a080bd2

Observation fe63b748-4c3c-4f0a-885c-21820e06b21b · outbound

This paper cites Hybrid analysis of android apps for security vetting using deep learning.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation Hybrid analysis of android apps for security vetting using deep learning

Reference 6

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unresolved
no resolver link, observed 2026-08-07T14:28:31.638791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:28:31.638791Z digest=sha256:1540b5f92a83dec8a8796240520b5f6d2ff36fd3f4ae5fa91ae9c169ea6a1cdd

Observation ebe9b376-6bb8-4046-8433-109cc49137e9 · outbound

This paper cites Continuous learning for android malware detection.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation Continuous learning for android malware detection

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T14:28:40.814938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T14:28:31.755539Z digest=sha256:f01adeb42bf9a810097d0d282a260697c55e9efe99211b52682576a48a71cfaf

Observation 11e6c55f-3623-4219-8ef9-2b538f946f8a · outbound

This paper cites Is it overkill? analyzing feature-space concept drift in malware detectors.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation Is it overkill? analyzing feature-space concept drift in malware detectors

Reference 8

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unresolved
no resolver link, observed 2026-08-07T14:28:31.906628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:28:31.906628Z digest=sha256:2cb3990e700b3a11ff9174cf3b33c1a3a42e21292ed8f21f3b5e1e607dabc4b6

Observation 023365df-b381-4acc-bfe4-73bc5d25a671 · outbound

This paper cites a., Z liobaitundefined, I., Bifet, A., Pechenizkiy, M., and Bouchachia, A.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation a., Z liobaitundefined, I., Bifet, A., Pechenizkiy, M., and Bouchachia, A

Reference 9

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unresolved
no resolver link, observed 2026-08-07T14:28:32.060067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:28:32.060067Z digest=sha256:2b5b9f2d97ea2c76459d9b1b4d0fa0e09c9ccc7f37c8df649c1f7f0a8dd23d7a

Observation 8c40a5d6-e532-4d29-a4d2-2d1c1601fa5f · outbound

This paper cites an unresolved cited work.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation Unresolved cited work

Reference 10

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unresolved
raw_fallback, observed 2026-08-07T14:28:40.573891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T14:28:32.165032Z digest=sha256:9b1046713d7b60bf411170e9408c0fd49f5bb23365f8e42ebb901cee8e0e93da

Observation 42ce1eac-8528-40e5-b63c-b911ae15ea83 · outbound

This paper cites and Sun, Y.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation and Sun, Y

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-07T14:28:40.291385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T14:28:32.270121Z digest=sha256:05e97ff048c3c1333f58f0b80fdb8a52f4a29ed1ff3fa68cb34a798461076510

Observation a9db58ca-f05b-4b36-8d06-ab8653fdca92 · outbound

This paper cites Masked autoencoders are scalable vision learners.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation Masked autoencoders are scalable vision learners

Reference 12

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no resolver link, observed 2026-08-07T14:28:32.396354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:28:32.396354Z digest=sha256:57bc4c7fd24fd000c9eb4f2f65f8219c37acfda2e9e424288431d4e50c0d6ef8

Observation 809f386d-381e-4ccb-a692-61cb800fee62 · outbound

This paper cites Using self-supervised learning can improve model robustness and uncertainty.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation Using self-supervised learning can improve model robustness and uncertainty

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:28:40.017871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T14:28:32.519373Z digest=sha256:8c2307a7685ff3abc712861eed712e4d558278961284b28919eb86c74e55f0c2

Observation 5b26bfb1-ec7a-4794-a0cb-f8e2009c2912 · outbound

This paper cites K., Wang, Z., Papini, D., Nouretdinov, I., and Cavallaro, L.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation K., Wang, Z., Papini, D., Nouretdinov, I., and Cavallaro, L

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:28:39.747546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T14:28:32.693390Z digest=sha256:6c1de5b79b0766152633e2b60453a1fbfa55bf37ad2db53a275752bafaa3ca19

Observation f2572060-9fb9-4a4d-b1dc-778b0816d32a · outbound

This paper cites J., Amlani, D., Nicholas, C., and Raff, E.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation J., Amlani, D., Nicholas, C., and Raff, E

Reference 15

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unresolved
no resolver link, observed 2026-08-07T14:28:32.807578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:28:32.807578Z digest=sha256:de9d89c6aefa376a2703528b76a7bb4ae25f0ee81fe123f46a4a5bef9c5c378b

Observation 2e054c5e-ab06-49af-b453-0ff8e3ea3886 · outbound

This paper cites Data exfiltration: Methods and detection countermeasures.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation Data exfiltration: Methods and detection countermeasures

Reference 16

Resolution
verified exact
raw_fallback, observed 2026-08-07T14:28:36.590254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T14:28:32.915477Z digest=sha256:ce51d4dfdbcd6738de1b3e48592dfd57c8c7fd5f4657306fb6ed74ab54ca6e5e

Observation 82387ef4-73f6-4038-889a-ffdffff3c7ad · outbound

This paper cites S., Iyengar, A., Kundu, A., and Bertino, E.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation S., Iyengar, A., Kundu, A., and Bertino, E

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:28:39.447395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T14:28:33.055013Z digest=sha256:e5bf60198c51cffcff944422e8b97b71661b3af72926a6142409e05d2cf54d70

Observation d35e2a4c-730d-4086-949c-4272dca1d768 · outbound

This paper cites A comprehensive survey on test-time adaptation under distribution shifts.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation A comprehensive survey on test-time adaptation under distribution shifts

Reference 18

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no resolver link, observed 2026-08-07T14:28:33.156861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:28:33.156861Z digest=sha256:ae168e5ede47fa8d1a55149a5f72f7ad21a99631be9210d79272d73c5025040a

Observation 172f5214-c5be-4a36-8378-50a514fc1ef7 · outbound

This paper cites F., Awang, S., Tuan Mat, S.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation F., Awang, S., Tuan Mat, S

Reference 19

Resolution
verified exact
doi, observed 2026-08-07T14:28:35.631961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T14:28:33.283386Z digest=sha256:e25e7c60f7c37baa29f9ae9ee1877401d835a445961eeaf44248982f797280f2

Observation a391e7c8-0bf5-47ee-ad76-ce73c3c15cc7 · outbound

This paper cites Efficient concept drift handling for batch android malware detection models.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation Efficient concept drift handling for batch android malware detection models

Reference 20

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unresolved
no resolver link, observed 2026-08-07T14:28:33.375839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:28:33.375839Z digest=sha256:268ed8e7665bb26ff43d87e23e34a26b23f20cb6db92a494e94a8930665e179a

Observation 459b3f47-ff5d-4fc4-a574-924f73d623b1 · outbound

This paper cites G., Raeder, T., Alaiz-Rodríguez, R., Chawla, N.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation G., Raeder, T., Alaiz-Rodríguez, R., Chawla, N

Reference 21

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no resolver link, observed 2026-08-07T14:28:33.541042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:28:33.541042Z digest=sha256:b4cfadc4d09c7f80553870d482330482243735a96e3a177f0abe8225ad80a9f4

Observation 1ac19da8-c015-42b4-899c-c3c023eb9c42 · outbound

This paper cites an unresolved cited work.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation Unresolved cited work

Reference 22

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T14:28:36.302002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T14:28:33.665602Z digest=sha256:a1242b3a0b475249f51c3abd1ecd07e491a3ddf29f9946856fd1d03e53d519af

Observation 7c370a19-9797-4e9d-88ba-8bc212414170 · outbound

This paper cites \ TESSERACT \ : Eliminating experimental bias in malware classification across space and time.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation \ TESSERACT \ : Eliminating experimental bias in malware classification across space and time

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:28:39.135934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T14:28:33.787292Z digest=sha256:57746ff010cfa417ed3f66e32ecde0644cbeb75f6f7c297019eabc7f74cc30ad

Observation 7bc2add4-62b8-4669-9d62-2237887ae2f1 · outbound

This paper cites and Bahtiyar, S.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation and Bahtiyar, S

Reference 24

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T14:28:36.014868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T14:28:33.912910Z digest=sha256:a2ef92fb48097bd61a8b5889b35c5f3453236ad49c020a56d08c7d01ec5a9526

Observation dfe798ca-e228-407d-96b8-fdf56df2d590 · outbound

This paper cites an unresolved cited work.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:28:38.889696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T14:28:34.040754Z digest=sha256:762867ad9290e5de65b3f6af39122b2deac4e863cb25565d38df5e59ff114737

Observation 7e3567c7-2be3-4dad-aae5-3035794b7e5f · outbound

This paper cites Explanation-Guided backdoor poisoning attacks against malware classifiers.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation Explanation-Guided backdoor poisoning attacks against malware classifiers

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:28:38.597993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T14:28:34.160173Z digest=sha256:d896cbc7790651dcdf0b6e92efe3653348cfc1eded234aab86fe9f686b6af9c9

Observation f9451235-a88b-4eaa-922c-28a2fe651a5f · outbound

This paper cites and Honig, A.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation and Honig, A

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:28:38.326498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T14:28:34.293874Z digest=sha256:3dd1da32bc3526a7593f20a5e3555d50a174a2b5599f87810f2aa177f385ec1d

Observation 167d2b9a-2354-45a7-b463-16e2c7be19bf · outbound

This paper cites A., and Hardt, M.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation A., and Hardt, M

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:28:38.112633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T14:28:34.444947Z digest=sha256:3e91600c6b0fb7ad2d03e4a4de0d939dcfb2a0c1e08e80589d5b884d91978dd5

Observation 6c389056-3357-4534-915b-ee003410bc7e · outbound

This paper cites The problem of concept drift: definitions and related work.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation The problem of concept drift: definitions and related work

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:28:37.861471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T14:28:34.567297Z digest=sha256:f0c625fb6f62968cf459af6801c10ae25c1b6517f79758e9029607e0345d140d

Observation 3763151e-557b-4d1d-877c-5ace510e8226 · outbound

This paper cites A., and Wang, X.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation A., and Wang, X

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:28:37.650666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T14:28:34.696048Z digest=sha256:754d784c476f25addc7d73bd832c294acc5e86d53229de6f0fb4d96c9c1945b1

Observation 7fbdca9a-1f2b-4068-8c19-d4ee8abd2df0 · outbound

This paper cites From grim reality to practical solution: Malware classification in real-world noise.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation From grim reality to practical solution: Malware classification in real-world noise

Reference 31

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unresolved
no resolver link, observed 2026-08-07T14:28:34.807303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:28:34.807303Z digest=sha256:5048a6a11447dd991859ad36214bc6c16e6a1f62b971e921ec32a44dc36a81bc

Observation 8e370d84-00e7-4ef2-89ca-fd3d4bc4831b · outbound

This paper cites Byte-level malware classification based on markov images and deep learning.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation Byte-level malware classification based on markov images and deep learning

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T14:28:34.915567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:28:34.915567Z digest=sha256:4b3be21b6d2173b26eef78e7d04d1adca7e6b1b6df7dbcbb496a998184b7e33d

Observation 278f71fb-d0df-43cb-87d4-6ad670af9315 · outbound

This paper cites Enhancing state-of-the-art classifiers with api semantics to detect evolved android malware.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation Enhancing state-of-the-art classifiers with api semantics to detect evolved android malware

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:28:37.419342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T14:28:35.063604Z digest=sha256:ed5acfc53af20d8d9155ef002c577beab8bb2d9d1de01c35833041b58b604597

Observation da167c1e-5d52-4030-9b2e-299345ea398c · outbound

This paper cites A method for analyzing the performance impact of imbalanced binary data on machine learning models.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation A method for analyzing the performance impact of imbalanced binary data on machine learning models

Reference 34

Resolution
verified exact
doi, observed 2026-08-07T14:28:35.407259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T14:28:35.179592Z digest=sha256:2a879237473719d2298996f6b297072fe64c36b435b526ebfd862de7cf0d7b82

Observation 256441de-bb2c-40eb-a140-5ebb4a478ef6 · outbound

This paper cites Measuring and modeling the label dynamics of online anti-malware engines.

MADCAT: Combating Malware Detection Under Concept Drift with Test-Time Adaptation Measuring and modeling the label dynamics of online anti-malware engines

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:28:37.207215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T14:28:35.253960Z digest=sha256:8c98a769834e07f661619f2f81077f65de5ed2e24b3beeac85adf48e2cc61fd3

Pith citing papers

No inbound Pith citation observations are available.