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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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

Resolution
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=sha256:6add1d8628de934b87a51b16bbc66a266cc758d7de644ca4f20bbd1ce6a862a7

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:aee3290426d26f6af2a72d97ca739000747660d2e15744229dfb63359c940163

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=sha256:0d7aa44d2a2a05fea4200f108d7bf6ae011f8315c30f5b2d45386e6f88218347

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:e9dac6087f8a18c4ba84c2edcdcb308404c1c012aa03a38d83654e1d78d80039

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:28:31.505302Z digest=sha256:f3d412fcb0aba090cb96fde3fde2ac7a1574184e5f63581e5fdcc86289796b09

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:f21ba4c381957d36d6d051c69f639a8d823767aebcf5e2f93c5cabb588aa5704

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:28:31.755539Z digest=sha256:38e3e203179ab83b166367e7b683b121c77782ad34cd9bda89d2773499fb03e6

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:cff2cc62d9efd8acdb71821e73aa8f1579228f69726373700298f3635349bacc

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:ebb3fb886513e7b097a6e057596586b3d18ec6539acdd6abeb3d7c2a2f7cf8cc

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:28:32.165032Z digest=sha256:91d06c57de45117f1a057833e775694c0756b4a54c5f1be2e49f532451f867df

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:28:32.270121Z digest=sha256:666ecc375a1b37e795199f3caf38b47d9c7c25f26a832bc8d4b4cfecc07bb65f

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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unresolved
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:f9da8f6729932e1043ac987c82b24d78b4b6bd06456c5d58026c74f83ee0e563

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:28:32.519373Z digest=sha256:eb39c9e59529ce832681e002d70c1f59f93d35465c86ee23ff106c3cb0ef0d2c

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:28:32.693390Z digest=sha256:179a41937d658236b59c63fbc68a95c0377d279a26fbed6ba29d5b51befe0678

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=sha256:77e81861cbda4a6566ff3f95ac1eb00d6a2b4b0a3098290a553f1c63e6f32aba

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:28:32.915477Z digest=sha256:6c3f4d5ca62b25a2a091bddb3258312c8d9c8008fd8a2fff7eafbacc4cec750f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:28:33.055013Z digest=sha256:a847fffe4f192d6dd034399618695af38115bbd75ee002200796b45c5716bc3e

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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unresolved
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=sha256:462b84f731b658fdf0d522a50467dcb15deafec240cd20d391354ba794add2c3

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:28:33.283386Z digest=sha256:6b067d01a8283dfec94f4febb2f3a214b54bf1c7df2f75704031cac5be7263e2

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

Resolution
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=sha256:5164bca2a67b79b1984bbae4927cb95ef32c729a558f11a0ec5a583d841eb070

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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unresolved
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=sha256:55b42b0b14696fa1832ac94efbef95b340650b08be736bb7f89880d11388be6e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:28:33.665602Z digest=sha256:1af6b60eb27b9620877845fd27fa5b89ada301093a2db3663f519386c68a59f6

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:28:33.787292Z digest=sha256:44f925ac750c6261ae0256b37c66243e20e921118dbb482896e986099df8baa2

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:28:33.912910Z digest=sha256:51a49f845d468feee3e35531c74924b78a5369a93b65a3fb63596eb46768142a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:28:34.040754Z digest=sha256:56d4d3330b9e06de42a37692540718bff39d7b3e38f20446539fd6e56c51b9ed

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:28:34.160173Z digest=sha256:3bd7689cf76b521e6cdb898da49ab21f025a51b5c39ecee53b22e6682a89d379

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:28:34.293874Z digest=sha256:dfcb4963374db0378d734e3881f48e7b540070cc3a3df3f481966486d3474c13

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:28:34.444947Z digest=sha256:e53c6e85e84c21c3f03c8920ce25f7090875d3433aaeb2329dd22df7d0e3beec

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:28:34.567297Z digest=sha256:e27d8bf75f23ca68328235e415695d4c214d080126a101ed59ed74bbc007d4db

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:28:34.696048Z digest=sha256:beda0162f07230da41c339f8f873ec0e247c2f32378c6e5047149379c84e1a48

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

Resolution
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:e1d005bf1571c43ee0c1b15f34b6c6c6887bc1cc04549cd2b1d784d7859a41be

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:b29409f432208641e1648cde2b27cbbab06c2f71c6085bc88d68176fe7f985d3

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:28:35.063604Z digest=sha256:ed9792f5b4b54695b222d6441e4aa84e1772d4b1ff83add2b5134ee511d11e67

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:28:35.179592Z digest=sha256:0a2ff29369cdcea2131eac5e7f9d1eeffbfd74bf723972c02b778ce6ce020c30

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T14:28:35.253960Z digest=sha256:e3e6672cfe39c0f9b2c683fb87a7e1d5c2a70dd20d60e79c20e808b5dad85f4a

Pith citing papers

No inbound Pith citation observations are available.