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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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:f054aabe84dfca31d39c224225356ac4318b7e4371dff36f6eadb153a79663fa

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=sha256:100778730f0d009c4624ab621556446c6bcc89eaf52bd1856411c64011a3e0b0

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:b7ce2b1af896d0ffab751aaf2673fcb129f2ac4b88de60c2dd5ac1baae721141

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=sha256:27651a52cb990bac1aa615d71339c27998dec7fc3bfb2733338f5908a92f7704

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:28:31.505302Z digest=sha256:a8c701b6e46a0013a40a6f268ac0ee862a42d656c53112b441a4006cc899cd8d

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

Resolution
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:cca8e2f4366a04ed6a501934ab0c4731e5dd71f46bed731ebb47a7ace3b944d6

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:28:31.755539Z digest=sha256:c073f75085d3d596bcdcbdbef5d02ca1d2a0e65461001e8c946813d4d1dd567b

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=sha256:8ddfe8301cef28df5170fde9e0ddb08460e8318349dd95f9b94a1c97fab6bbde

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=sha256:5e5e0247e82ae124a26d52dae76c4359ea026afdbf8bdc65a26dcb6b89d2b98a

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:28:32.165032Z digest=sha256:74538002cf989c726c22d0ccc6bd61100e0218c63412fb4c1e0419bd7bd034af

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:28:32.270121Z digest=sha256:11699f02161c8b1b8c33ca692f97440ad206a178b63357d9d45b85b25261ee90

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:ee64e644270239d904ac5f7277e36d3c5ee6c0dfbf5c97e2d28bc3edebbbd4fa

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:28:32.519373Z digest=sha256:64349230ea6e861a8c0c36ea6202006ba652edbfcf3b7edfe5126d3930873f7d

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:28:32.693390Z digest=sha256:a267ebba398c8f382f39ccd4cc299a712a8694efb22daed418c7a0bff56d2605

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

Resolution
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=sha256:164e9ae0bf4723c0b32ec718b4a6cbd51d106966c9d5a659a9b241ee80c3bfa6

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:28:32.915477Z digest=sha256:27c4e5c89e324274d93a2494c56ed64c7e5b6c83318866fc8baa0fa8c35b7d0c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:28:33.055013Z digest=sha256:50db4739889f879538b1ac8d8277bb84bc723a9e25c64ea29aac1017c86c472b

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=sha256:6cb05cd1cb90f7f295a14eb7e17bdd6c2ee294b6ef28a8a6547629be1302b670

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:28:33.283386Z digest=sha256:f6eff9d88408701a4642520d9a0f6a026f30136de67af5b904dce3aff8ed711a

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=sha256:8dcf32c79f20398468a6e114ce4961cd5f7b7b02f97e535bb6ce4e03d41ab100

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=sha256:05b3258d04a19110313eca47e18e9c715341e96c297f0936b91177ec48217942

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:28:33.665602Z digest=sha256:24a1a5f17d2b73ac9ff90bb67da7a96c4322a6edb6d0f3fbaec90b08f5e15ac1

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:28:33.787292Z digest=sha256:c4716dd82f5692e4495b762aebcd4b940fb211b70f7d2775b9585a6b4d204d85

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:28:33.912910Z digest=sha256:afb48a21a8da9db60838785b7912391a539cdf761ad19c8d9a2270a61521e64d

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:28:34.040754Z digest=sha256:aa527cb0639e6cb2f7462eea7f3b68b5788b6a8c360d60d8782880415e15c353

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:28:34.160173Z digest=sha256:9d9f791a3c500f261bff1e2ca48fe5fd20e52ecd3b25d743afafdfe3e8cd6c74

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:28:34.293874Z digest=sha256:7c095e66a5b1eb42c04df1382bf0b36c601cba895531e6aa0039a98c299ae7f3

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:28:34.444947Z digest=sha256:8dc9cc91cfc13859d304ca37320a053f4683d6f06b884d37858f6e31f508aab5

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:28:34.567297Z digest=sha256:ee98b6f4bf0b077ae19262b3159d981cd3e66a44b5c5a6d2b6aa06795086cdc2

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:28:34.696048Z digest=sha256:b44273602543e12c1acb832ae05369b48a8584df21b5eef2c9dad0b6d4311f67

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=sha256:915d01c4cf4d267aac91268bb85be00449dc1b7239e1f37bfad3b2af96ce8c82

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:f00747123e7b19780a600df132d855b5d457c39795aef8a1df669dfb85a4365a

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:28:35.063604Z digest=sha256:01fbc589cd0cd2d30b06a29feb15c219c78aca883a7dd61b49d464e3465f0c2e

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:28:35.179592Z digest=sha256:c1b44f32962634cc04f59178b934c9b3d1cf1b25aa91e3a066645dea1fd6dfe3

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:28:35.253960Z digest=sha256:1bdf6ef1648eba6c9de2540b42f67d0c9484df179ee583f987a3af474f09e5d6

Pith citing papers

No inbound Pith citation observations are available.