Paper Citation Record · LEDGER

TIF: Learning Temporal Invariance in Android Malware Detectors

As of 9 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 2 inbound Pith citation observations for arXiv:2502.05098.

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

pith.paper-citation-record.v1
2502.05098 v3

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:20:18.818815Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T04:53:04.033865Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T21:50:19.670437Z

Reference resolution

53 of 53 outbound references displayed

verified exact4
verified fuzzy35
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bdc39618-b5fd-49f3-b6ca-3a4ef5b357e4 · outbound

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

TIF: Learning Temporal Invariance in Android Malware Detectors Transcending transcend: Revisiting malware classification in the presence of concept drift,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T20:20:18.654735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bce5acda-51a2-406e-b0e6-0606d4ff3418 · outbound

This paper cites {CADE}: Detecting and explaining concept drift samples for security applications,.

TIF: Learning Temporal Invariance in Android Malware Detectors {CADE}: Detecting and explaining concept drift samples for security applications,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.436740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bbb170a6-04ef-4a05-9dbf-03445b9ce924 · outbound

This paper cites Exploiting code symmetries for learning program semantics,.

TIF: Learning Temporal Invariance in Android Malware Detectors Exploiting code symmetries for learning program semantics,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.428105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9232a31b-ddc5-477c-8093-d57b01809cad · outbound

This paper cites {TESSERACT}: Eliminating experimental bias in malware classifi- cation across space and time,.

TIF: Learning Temporal Invariance in Android Malware Detectors {TESSERACT}: Eliminating experimental bias in malware classifi- cation across space and time,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T20:20:18.667488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df18fdbc-ea9c-4839-9fdc-452679356c5d · outbound

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

TIF: Learning Temporal Invariance in Android Malware Detectors Is it overkill? analyzing feature- space concept drift in malware detectors,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.404095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 870feb00-0aba-4304-bf9f-ceb43dfa4f61 · outbound

This paper cites Drift forensics of malware classifiers,.

TIF: Learning Temporal Invariance in Android Malware Detectors Drift forensics of malware classifiers,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.395567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 29509c76-7f41-4f9c-8cdb-ef857ca77d4d · outbound

This paper cites Recent advances in concept drift adaptation methods for deep learning,.

TIF: Learning Temporal Invariance in Android Malware Detectors Recent advances in concept drift adaptation methods for deep learning,

Reference 7

Resolution: verified exact; doi, observed 2026-08-08T20:20:18.842670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e3d3211a-435e-4f43-b9ba-bc601a323466 · outbound

This paper cites Continuous learning for android malware detection,.

TIF: Learning Temporal Invariance in Android Malware Detectors Continuous learning for android malware detection,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T20:20:18.680255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0ee56a8-88a0-4acc-8427-c7dc22181cf4 · outbound

This paper cites Droidevolver: Self-evolving android malware detection system,.

TIF: Learning Temporal Invariance in Android Malware Detectors Droidevolver: Self-evolving android malware detection system,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.382086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5fe18f07-6f3f-42d1-aa65-8ef2d1b27030 · outbound

This paper cites Fast & furious: On the modelling of malware detection as an evolving data stream,.

TIF: Learning Temporal Invariance in Android Malware Detectors Fast & furious: On the modelling of malware detection as an evolving data stream,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.373985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a2053a76-6941-41b1-821e-32000c973c92 · outbound

This paper cites Investigating labelless drift adaptation for malware detection,.

TIF: Learning Temporal Invariance in Android Malware Detectors Investigating labelless drift adaptation for malware detection,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.365621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 49d23237-703e-400c-955c-0872f15cd7c4 · outbound

This paper cites Recda: Concept drift adaptation with representation enhancement for network intrusion detection,.

TIF: Learning Temporal Invariance in Android Malware Detectors Recda: Concept drift adaptation with representation enhancement for network intrusion detection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.356921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8fe91b3f-331e-4982-b2ca-80ab8f6a9372 · outbound

This paper cites Scrr: Stable malware detection under unknown deployment environment shift by decoupled spurious correlations filtering,.

TIF: Learning Temporal Invariance in Android Malware Detectors Scrr: Stable malware detection under unknown deployment environment shift by decoupled spurious correlations filtering,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.287040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 52c7dc90-1d6f-4495-8bf5-9948d5d53cce · outbound

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

TIF: Learning Temporal Invariance in Android Malware Detectors Enhancing state-of-the-art classifiers with api semantics to detect evolved android malware,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.277542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c5d84062-54eb-4344-bf1d-f3e01dc7df5e · outbound

This paper cites When does group invariant learning survive spurious correlations?.

TIF: Learning Temporal Invariance in Android Malware Detectors When does group invariant learning survive spurious correlations?

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.269180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 46c59f49-f763-4137-9335-ae2810895327 · outbound

This paper cites Robustness to spurious cor- relations via human annotations,.

TIF: Learning Temporal Invariance in Android Malware Detectors Robustness to spurious cor- relations via human annotations,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.260624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e4bdaa85-5f98-499b-9827-1aeb01b2d9e9 · outbound

This paper cites The implicit fairness criterion of unconstrained learning,.

TIF: Learning Temporal Invariance in Android Malware Detectors The implicit fairness criterion of unconstrained learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.252605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9e131521-158b-461b-bf14-abbdc8c00ee8 · outbound

This paper cites Invariant learning via probability of sufficient and necessary causes,.

TIF: Learning Temporal Invariance in Android Malware Detectors Invariant learning via probability of sufficient and necessary causes,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.243987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 38ae79c8-fec9-4acd-953e-66c8c3ee1e66 · outbound

This paper cites Pcl: Proxy-based contrastive learning for domain generalization,.

TIF: Learning Temporal Invariance in Android Malware Detectors Pcl: Proxy-based contrastive learning for domain generalization,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T20:20:18.718437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7c859b3-86ff-4f04-ab24-ff49f5a70f50 · outbound

This paper cites Learning with Mixture of Prototypes for Out-of-Distribution Detection.

TIF: Learning Temporal Invariance in Android Malware Detectors Learning with Mixture of Prototypes for Out-of-Distribution Detection

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T20:20:18.721348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57170e8f-2ea3-466c-bd1b-0af11884cbfa · outbound

This paper cites Aomdroid: detecting obfuscation variants of android malware using transfer learning,.

TIF: Learning Temporal Invariance in Android Malware Detectors Aomdroid: detecting obfuscation variants of android malware using transfer learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.231324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e5eb14a6-94fd-4904-9807-6e4a068274ca · outbound

This paper cites When malware changed its mind: An empirical study of variable program behaviors in the real world.

TIF: Learning Temporal Invariance in Android Malware Detectors When malware changed its mind: An empirical study of variable program behaviors in the real world

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.223427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a2df4d8d-fcbf-430b-b3e5-003967dbb11e · outbound

This paper cites Episode-based prototype generating network for zero-shot learning,.

TIF: Learning Temporal Invariance in Android Malware Detectors Episode-based prototype generating network for zero-shot learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.215406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 533850e8-20f6-4fab-b58b-0bf7a6398ada · outbound

This paper cites Optimization as a model for few-shot learning,.

TIF: Learning Temporal Invariance in Android Malware Detectors Optimization as a model for few-shot learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.207269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 46862d32-5901-4049-9c0c-1bc5b1795893 · outbound

This paper cites Domr: Towards deep open-world malware recogni- tion,.

TIF: Learning Temporal Invariance in Android Malware Detectors Domr: Towards deep open-world malware recogni- tion,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.199199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1b8e614f-92af-4e26-833a-a0e017374fe7 · outbound

This paper cites Robust Machine Learning for Malware Detection over Time.

TIF: Learning Temporal Invariance in Android Malware Detectors Robust Machine Learning for Malware Detection over Time

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-08T20:20:18.970579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c4071ea2-6bb5-43a9-896e-9a63bc2c753e · outbound

This paper cites Temporal-incremental learning for android malware detec- tion,.

TIF: Learning Temporal Invariance in Android Malware Detectors Temporal-incremental learning for android malware detec- tion,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.190893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c05b694d-9781-4784-b3c4-39d3b732a846 · outbound

This paper cites Revisiting Concept Drift in Windows Malware Detection: Adaptation to Real Drifted Malware with Minimal Samples.

TIF: Learning Temporal Invariance in Android Malware Detectors Revisiting Concept Drift in Windows Malware Detection: Adaptation to Real Drifted Malware with Minimal Samples

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T20:20:18.744804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dba3e66-e4f1-4c27-9a8f-cca87394ee09 · outbound

This paper cites Out-of-distribution generalization via risk extrapolation (rex),.

TIF: Learning Temporal Invariance in Android Malware Detectors Out-of-distribution generalization via risk extrapolation (rex),

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.173745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ef5bfa88-d1cc-4dff-b723-ad19538e5453 · outbound

This paper cites On calibration and out- of-domain generalization,.

TIF: Learning Temporal Invariance in Android Malware Detectors On calibration and out- of-domain generalization,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.165515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1d5ed166-fce6-4037-913b-eb8dde4bfcb9 · outbound

This paper cites Invariant Risk Minimization.

TIF: Learning Temporal Invariance in Android Malware Detectors Invariant Risk Minimization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T20:20:18.758517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74d42ca5-c31b-4863-bf77-fa9be4b823b2 · outbound

This paper cites The Risks of Invariant Risk Minimization.

TIF: Learning Temporal Invariance in Android Malware Detectors The Risks of Invariant Risk Minimization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T20:20:18.762620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 246c1c5d-fe7c-484d-aa88-0cec55fe1965 · outbound

This paper cites Towards Understanding Variants of Invariant Risk Minimization through the Lens of Calibration.

TIF: Learning Temporal Invariance in Android Malware Detectors Towards Understanding Variants of Invariant Risk Minimization through the Lens of Calibration

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-08T20:20:18.936622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2356738c-b5d6-41dc-ac2b-7937342e7223 · outbound

This paper cites Invariance principle meets information bottleneck for out-of-distribution generalization,.

TIF: Learning Temporal Invariance in Android Malware Detectors Invariance principle meets information bottleneck for out-of-distribution generalization,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.157261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 65b4d50b-8e1e-459b-b1eb-bd1752d14a70 · outbound

This paper cites Environment inference for invariant learning,.

TIF: Learning Temporal Invariance in Android Malware Detectors Environment inference for invariant learning,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.182408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 343fd1fe-dc3c-4011-b7db-ba772b8a2816 · outbound

This paper cites Heterogeneous risk minimization.

TIF: Learning Temporal Invariance in Android Malware Detectors Heterogeneous risk minimization

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.148561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 91602ebe-a5af-405a-99fc-4ba1781e1ac6 · outbound

This paper cites Unshuffling data for improved generalization in visual question answering,.

TIF: Learning Temporal Invariance in Android Malware Detectors Unshuffling data for improved generalization in visual question answering,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.140283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 29f0cbd7-bcc3-454b-8459-0787223d6f26 · outbound

This paper cites Intriguing properties of adversarial ml attacks in the problem space,.

TIF: Learning Temporal Invariance in Android Malware Detectors Intriguing properties of adversarial ml attacks in the problem space,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T20:20:18.781674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3e14917-5e1d-4624-b686-7d960b38ffee · outbound

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

TIF: Learning Temporal Invariance in Android Malware Detectors Drebin: Effective and explainable detection of android malware in your pocket

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-08T20:20:18.784458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13d6ec7f-d255-4bea-a844-a8e588d7e253 · outbound

This paper cites Adversarial examples for malware detection,.

TIF: Learning Temporal Invariance in Android Malware Detectors Adversarial examples for malware detection,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.127393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9d240788-c261-4e12-9f91-ffc3ac28420b · outbound

This paper cites Evaluating explanation methods for deep learning in security,.

TIF: Learning Temporal Invariance in Android Malware Detectors Evaluating explanation methods for deep learning in security,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.111233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation acebf8f9-ffe4-4db9-b5f7-00519a7d12c1 · outbound

This paper cites Understanding and improving feature learning for out-of-distribution generalization,.

TIF: Learning Temporal Invariance in Android Malware Detectors Understanding and improving feature learning for out-of-distribution generalization,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.102854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9feb3620-5c74-449e-bc4c-34d28120aa01 · outbound

This paper cites an unresolved cited work.

TIF: Learning Temporal Invariance in Android Malware Detectors Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-08T20:20:19.119188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 64247f35-5fd1-49f6-aeba-d815b5322a21 · outbound

This paper cites Malscan: Fast market-wide mobile malware scanning by social-network centrality anal- ysis,.

TIF: Learning Temporal Invariance in Android Malware Detectors Malscan: Fast market-wide mobile malware scanning by social-network centrality anal- ysis,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.085598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a99d59ee-b6ff-4d67-8964-8405c8bc556e · outbound

This paper cites Detecting Android Malware: From Neural Embeddings to Hands-On Validation with BERTroid.

TIF: Learning Temporal Invariance in Android Malware Detectors Detecting Android Malware: From Neural Embeddings to Hands-On Validation with BERTroid

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-08T20:20:18.862978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5ea8ed12-1d9e-411e-92e0-865852069d8d · outbound

This paper cites Rich feature construction for the optimization-generalization dilemma,.

TIF: Learning Temporal Invariance in Android Malware Detectors Rich feature construction for the optimization-generalization dilemma,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.093719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2b4f7ee5-6287-4548-a00d-d81f02a81d95 · outbound

This paper cites Euphony: harmonious unification of ca- cophonous anti-virus vendor labels for android malware,.

TIF: Learning Temporal Invariance in Android Malware Detectors Euphony: harmonious unification of ca- cophonous anti-virus vendor labels for android malware,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.068339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 84d3e6df-456b-4773-a71e-72c1c1d608e3 · outbound

This paper cites Transcend: Detecting concept drift in malware classification models,.

TIF: Learning Temporal Invariance in Android Malware Detectors Transcend: Detecting concept drift in malware classification models,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.059359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 21dfd327-daa1-45c6-91d6-8c5932850d29 · outbound

This paper cites Guided retraining to enhance the detection of difficult android malware,.

TIF: Learning Temporal Invariance in Android Malware Detectors Guided retraining to enhance the detection of difficult android malware,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.077270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 84be657e-656c-4554-8825-472feaf12c8a · outbound

This paper cites Un- derstanding deep learning (still) requires rethinking generalization,.

TIF: Learning Temporal Invariance in Android Malware Detectors Un- derstanding deep learning (still) requires rethinking generalization,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-08T20:20:18.818815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f352faef-841d-40b7-a8b5-ea2e528166df · outbound

This paper cites Regularization for Deep Learning: A Taxonomy.

TIF: Learning Temporal Invariance in Android Malware Detectors Regularization for Deep Learning: A Taxonomy

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-08T20:20:18.815884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b2965e3-f766-47b1-8d4d-f63dffd25116 · outbound

This paper cites Available: http://dx.doi.org/10.1145/3372297.3417291.

TIF: Learning Temporal Invariance in Android Malware Detectors Available: http://dx.doi.org/10.1145/3372297.3417291

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-08T20:20:18.702056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1416b5dd-e22b-41fb-8a35-b7e5f220da14 · outbound

This paper cites Available: https://openreview.net/forum?id=OLvgrLtv6J.

TIF: Learning Temporal Invariance in Android Malware Detectors Available: https://openreview.net/forum?id=OLvgrLtv6J

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:20:19.418299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 03bb9db1-583a-4d5e-98e3-142a0c325488 · inbound

Retrofit: Continual Learning with Controlled Forgetting for Binary Security Detection and Analysis cites this paper.

Retrofit: Continual Learning with Controlled Forgetting for Binary Security Detection and Analysis TIF: Learning Temporal Invariance in Android Malware Detectors

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-06-23T03:13:44.573676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 40e76744-ae70-431b-ab4e-c901dcaa808c · inbound

Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning cites this paper.

Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning TIF: Learning Temporal Invariance in Android Malware Detectors

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-13T04:53:04.033865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.