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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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=sha256:6add1d8628de934b87a51b16bbc66a266cc758d7de644ca4f20bbd1ce6a862a7

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

source=arxiv_source observed=2026-08-07T14:28:31.505302Z digest=sha256:253860d4c76adb3de53fc652589f2f29164cc7568391371a53bbc8e129d5a170

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

source=arxiv_source observed=2026-08-07T14:28:31.755539Z digest=sha256:ce8bfacbee2fdae0c6fdc8f4730b4ef2b6383ae771231449f3fee4ec424e55e8

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

source=arxiv_source observed=2026-08-07T14:28:32.165032Z digest=sha256:07cfcb8975c79d9f66a48da3f1363c4947c355dab378e3c2d8fd59b1d37bea50

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

source=arxiv_source observed=2026-08-07T14:28:32.270121Z digest=sha256:c1e20a07d743e17be449c12e11e6acc4677117ef4ea03ca0b875918ee8a30087

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

source=arxiv_source observed=2026-08-07T14:28:32.519373Z digest=sha256:9075b01be5d17b4f6aa879be55c51b1e49f98dfa3541a5ed748f899d3f9ad5e0

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

source=arxiv_source observed=2026-08-07T14:28:32.693390Z digest=sha256:a70c6edd1f8ab6c85bf6f561112f2e04a116169fbccbc0cddded82c6321dd350

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

source=arxiv_source observed=2026-08-07T14:28:32.915477Z digest=sha256:9f43e9536e87c05513bfbe71f81536c856d55bc085a1cbff831fc2cd0a2f0514

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

source=arxiv_source observed=2026-08-07T14:28:33.055013Z digest=sha256:cbbaabaffef36d8486aed2a412557062697c08d2ab424d44f83d950741861f6f

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

source=arxiv_source observed=2026-08-07T14:28:33.283386Z digest=sha256:666b29415f3e58fd3cbadf6c157a2553d2b20df0d50a23595e0349295651c17b

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=sha256:5164bca2a67b79b1984bbae4927cb95ef32c729a558f11a0ec5a583d841eb070

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

source=arxiv_source observed=2026-08-07T14:28:33.665602Z digest=sha256:2727123308de57402634783e63a270eae6055afd77b57ef989e17d656cf52c24

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

source=arxiv_source observed=2026-08-07T14:28:33.787292Z digest=sha256:b238c30e7ba4e3f8df48236fb47734cd2f41eabd22e910ac75419de76e940dd7

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

source=arxiv_source observed=2026-08-07T14:28:33.912910Z digest=sha256:782267521f05cdc3175896d17495d6fd498ba19367b6d76c94fd4eece4139020

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

source=arxiv_source observed=2026-08-07T14:28:34.040754Z digest=sha256:35c48632dd4a7c8ad858d704fedae32ac2b63f8a29975be0e16fd04a79f99ab5

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

source=arxiv_source observed=2026-08-07T14:28:34.160173Z digest=sha256:a437ae3ca7ec7198c07c5dd171bf1d8bbe31f08e29b216f269268707ad171460

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

source=arxiv_source observed=2026-08-07T14:28:34.293874Z digest=sha256:b6054eaf0ce0ca981d0f05737d2917037e71c4ad9b296cfd950da7795f376a56

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

source=arxiv_source observed=2026-08-07T14:28:34.444947Z digest=sha256:bfc94981acbf5bfdfd1abe611b5aa174a2942df5400d1a6b866a5f0db114c8fa

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

source=arxiv_source observed=2026-08-07T14:28:34.567297Z digest=sha256:bd1d3a85e30f397e58d2ab4f47242b11578b5b56a9c99d4c146ed3a9fb8717ee

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

source=arxiv_source observed=2026-08-07T14:28:34.696048Z digest=sha256:0204bcb0a19831db00734cae33f0b11bd0f581b86fdd012534e4e2a4e0f2a106

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

source=arxiv_source observed=2026-08-07T14:28:35.063604Z digest=sha256:35c712f4397674532f3ec21535944c397a15b097f6d7d7c79d0a31ac0f31551a

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

source=arxiv_source observed=2026-08-07T14:28:35.179592Z digest=sha256:6b3e8d17cb3eb81def29ed7b47f3f2f724e36d32c9dd23c5aaee6cd551ef9b40

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

source=arxiv_source observed=2026-08-07T14:28:35.253960Z digest=sha256:d76a25f1b3b3eb31eed470dcda9073521f77ff789326aa48ab938f4a6ec100ac

Pith citing papers

No inbound Pith citation observations are available.