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Paper Citation Record · LEDGER

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security

As of 17 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.07635.

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

pith.paper-citation-record.v1
2607.07635 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-10T18:27:36.044723Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

39 of 39 outbound references displayed

  • verified exact1
  • verified fuzzy37
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 960cd3e6-3e0f-4a57-a76c-d076d73590f4 · outbound

This paper cites What is a botnet?.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security What is a botnet?

Reference 1

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verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.704767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:95b7e1c14ea19d4e0d8b43a3632dd1bdd917299719f8c0513eed82b384fa1a30

Observation 92ea933a-b3aa-42fb-9708-83640e6debf5 · outbound

This paper cites Mirai ddos attack on dyn case study,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Mirai ddos attack on dyn case study,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.635585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:234cc6bc394ea7e8084a57f72a258be6859f8352ce322386f0b470d0d8cec221

Observation 95329910-b078-48ae-8c8e-9cf470c8d314 · outbound

This paper cites What is gdpr?.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security What is gdpr?

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.639102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:22178dbf8eda0d34cd2f88cd6147c76ff4d4d78a5f1d7e697aa057201c9f3068

Observation 994df951-759c-4fe8-8f20-5441a0fb70c8 · outbound

This paper cites Detecting information theft attacks in the bot-iot dataset,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Detecting information theft attacks in the bot-iot dataset,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.599850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:be6f7536cd1d25b4a2b5aa80e0d54e9770598b1458a5702be026ff955b68951b

Observation bd7b61ed-6932-4393-b2d9-37ab9cf14835 · outbound

This paper cites An intrusion detection system using bot-iot,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security An intrusion detection system using bot-iot,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.615570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:1d1d1633cbfa9961b8da08a1cbb7c641280ec81cf5ab0749a7b1caba81a6fecd

Observation 02b98d17-c012-45d6-be23-cf1c06ae76d1 · outbound

This paper cites A novel method for malware detection using audio signal processing techniques,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security A novel method for malware detection using audio signal processing techniques,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.644285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:b785318e59f8b5f5decc40dd9d280700745f8a64c5cbf3f162035e90762865e5

Observation c06dbc13-3d2a-4ead-904b-86398c6d087f · outbound

This paper cites A survey of malware detection using deep learning,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security A survey of malware detection using deep learning,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.625073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:57591263bc68214b02143ea7efa47d0f8477809c6395ab888831d709b67e3129

Observation b89c6d3f-4c91-49b2-bd49-215792fe11d0 · outbound

This paper cites Machine Unlearning: A Comprehensive Survey.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Machine Unlearning: A Comprehensive Survey

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-10T18:37:31.201485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:21541d4c32c7e429dc7abfcfd7dfdf75c1daae5d96ae707db97be531358a7798

Observation 9e17cb95-ce47-4b2f-8736-2722630d6f55 · outbound

This paper cites A lightweight malware detection model based on knowledge distillation.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security A lightweight malware detection model based on knowledge distillation

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.629362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:ae3a0a96b644252f7687246f5b13887bbd5721b4d9224ebd1b4c924f42bf8ffd

Observation 33de8177-6dec-45d4-944e-159d2b92ad59 · outbound

This paper cites Explainability in ai-based behavioral malware detection systems,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Explainability in ai-based behavioral malware detection systems,

Reference 11

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verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.687591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:11703d275b7cee536edd76027dc0f488eb453d478da6070c8f640a3121f26aa7

Observation 7bb72590-b48f-4fe8-b14d-574b7ae7bb52 · outbound

This paper cites Machine learning-based early detection of iot botnets using network-edge traffic,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Machine learning-based early detection of iot botnets using network-edge traffic,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.648768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:dd95033fa08fd3700935b997b8403b6e29a0d253a563297b7373b4ca6e0c80e4

Observation b3d4bf21-1c16-4ff7-85cf-75bf0926a144 · outbound

This paper cites Paired: An explainable lightweight android malware detection system,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Paired: An explainable lightweight android malware detection system,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.623223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:e9da251e8df6a02b421c012e0a1086c2ec482e820092620207715abb18a905e3

Observation 4b372cb3-b1ca-486e-8aa9-4a0c5b6f8808 · outbound

This paper cites Assessing llms in malicious code deobfuscation of real-world malware campaigns,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Assessing llms in malicious code deobfuscation of real-world malware campaigns,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.625984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:78ba9b7077de86ffda3ca5a8da29b3c058b3f929d78a215cdc17edbe7a1ddb90

Observation 82a0f1b5-71fd-4fc4-bf5b-c4ab15ac64cb · outbound

This paper cites A privacy-enhanced framework with deep learning for botnet detection,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security A privacy-enhanced framework with deep learning for botnet detection,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.632033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:eaf1cce976feac6805c8a126a0b6b82c1b9191fda48e622a592d93802ee01864

Observation ad4796a3-0e77-4e4e-a667-f2eb164cec32 · outbound

This paper cites Reinforcement learning for iot security: A comprehensive survey,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Reinforcement learning for iot security: A comprehensive survey,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.590721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:42a4dffe54f29e62a1d948a214f6752fa20eb1daa29a8073471266b9334e7497

Observation dbffc1e4-b84a-4105-ae60-0173fa050935 · outbound

This paper cites Asynchronous advantage actor-critic (a3c) learning for cognitive network security,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Asynchronous advantage actor-critic (a3c) learning for cognitive network security,

Reference 17

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raw_fallback, observed 2026-07-10T18:37:31.579213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:e2771b89b4ee4625774ca515f8c430bae0863806f26d828e0426a32ecd18980e

Observation 0008fe5f-818f-4ab7-b591-e306f086c719 · outbound

This paper cites Towards the development of realistic botnet dataset in the internet of things for network forensic analytics: Bot-iot dataset.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Towards the development of realistic botnet dataset in the internet of things for network forensic analytics: Bot-iot dataset

Reference 18

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verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.568298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:13fd837401d41ba1d029d057b1e92ce0f7a988cd864dffb6ada948c314d5b7b5

Observation f3b379fa-4c1c-48e1-a55d-766dd89725a9 · outbound

This paper cites A comparative review of smote and adasyn in imbalanced data classification,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security A comparative review of smote and adasyn in imbalanced data classification,

Reference 19

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verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.650909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:3ccfe7db64f70b92240d464dc705fd564096ce3e29f85f58ba94251ca0b99471

Observation a094adfa-2c64-4d9c-a15c-c913a0f7cce7 · outbound

This paper cites Smote: synthetic minority over-sampling technique.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Smote: synthetic minority over-sampling technique

Reference 20

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verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.641844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:512a48fdcb20eca8abe18ee9954e13cb7871a2afbb9249e73f19c452b02e0697

Observation af414667-f6eb-4a89-acda-79c3476bfbeb · outbound

This paper cites Epileptic seizure detection using deep learning through min max scaler normalization,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Epileptic seizure detection using deep learning through min max scaler normalization,

Reference 21

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verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.580637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:7d26677815a176c6d3470aefd9427f277bb3a1e33815410e1a3e62587df85758

Observation 424cc150-454f-4792-899b-173181e34a2b · outbound

This paper cites Reinforcement learning,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Reinforcement learning,

Reference 22

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verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.696001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:9197840a5b85f199cba278f9be007845eec5b86fb5f774ca01181ce6aeb17525

Observation 3e37142a-6dda-4c58-b758-2c3080d447a3 · outbound

This paper cites Reinforcement learning for iot security: A comprehensive survey,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Reinforcement learning for iot security: A comprehensive survey,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.618395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:e807b46c6c397cab2e844aae1b12ae1e34c774af3d0828f07806c8ece1a9d616

Observation b2f8b32e-9b4b-49f7-8d33-d289d91b62bc · outbound

This paper cites Actor-critic methods — tensorflow reinforcement learning,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Actor-critic methods — tensorflow reinforcement learning,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.586693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:9e9d2357aba6a087c9f169cca59b1f090f264ff1b360cd935d1bd8f78b76b68b

Observation eb7be16d-1c18-4676-91e8-5a73fc1831ab · outbound

This paper cites Knowledge distillation: A survey.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Knowledge distillation: A survey

Reference 25

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verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.646732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:54cb8508d69c65a48afdecccc0122a02955879ba6216ef4c011d0b7d4f9e1b68

Observation 38cf2cbf-8f58-4302-9c74-aaa184827910 · outbound

This paper cites Improved knowledge distillation with teacher-student adaptation for efficient neural network compression,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Improved knowledge distillation with teacher-student adaptation for efficient neural network compression,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.617904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:b99a301c96cc96a6f3f901216c211747584264f45e752fc749ec869340057d64

Observation a15d9890-c788-4e40-abad-1883a74ff9c1 · outbound

This paper cites The price of forgetting: Incentive mech- anism design for machine unlearning,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security The price of forgetting: Incentive mech- anism design for machine unlearning,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.675488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:06840e25adb5b631a5952fcc64c8328a2633283baa17719736f034d60b302926

Observation 87ccca2b-8ee7-4e18-bd1a-c7bcf4c60957 · outbound

This paper cites Learn to forget: Machine unlearning via neuron masking,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Learn to forget: Machine unlearning via neuron masking,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.680742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:ed54a07d62e0a07a425f2c22989f3a9b3f21f5f359bc7c9654166adc5ec84b1b

Observation 273d529a-ed7c-4c4f-9efd-00773766ea7d · outbound

This paper cites Machine unlearning by reversing the continual learning,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Machine unlearning by reversing the continual learning,

Reference 29

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raw_fallback, observed 2026-07-10T18:37:31.685525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:64e3b641c860c754c1f7b76bb5d6e5aa7bd352014de3824189e3308a4a5c9474

Observation 077fd0f1-bd3b-4ca5-9ceb-1812588e0391 · outbound

This paper cites arXiv preprint arXiv:2501.14182 (2025).

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security arXiv preprint arXiv:2501.14182 (2025)

Reference 30

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arxiv_id, observed 2026-07-10T18:37:31.198881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:6e0222d058c6278a1868841e80ef124749cb7c2b1e9a712d78f1b8fc1ed78d0a

Observation 2840fca5-a934-4f43-8e73-ed3fe6c2f1f1 · outbound

This paper cites ”why should i trust you?.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security ”why should i trust you?

Reference 31

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verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.671491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:09e62eb447bbf4d282ee2c758d7e332b5596cc5f919a31b04fba812b768b933d

Observation b311838e-ca0a-44ad-8dcf-91631450cd52 · outbound

This paper cites Anomaly detection and localization in nfv systems by utilizing masked- autoencoder and xai,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Anomaly detection and localization in nfv systems by utilizing masked- autoencoder and xai,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.673383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:7a37160c35585eda13f181f2e0272bf42fd8af33b154c5dbc95cc6aff2e8a6d5

Observation b3316656-0951-4a7f-a82f-184c1f724ee0 · outbound

This paper cites Explaining explanations: An overview of interpretability of machine learning.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Explaining explanations: An overview of interpretability of machine learning

Reference 33

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raw_fallback, observed 2026-07-10T18:37:31.682974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:396a97acbd689436329099f14d6bbb8abfeefdb7eb97b1fb5f7413ca75dfad74

Observation ad8cf0df-e6a3-442e-a728-39df525d43f7 · outbound

This paper cites Kronnet a lightweight kronecker enhanced feed forward neural network for efficient iot intrusion detection,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Kronnet a lightweight kronecker enhanced feed forward neural network for efficient iot intrusion detection,

Reference 34

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verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.692250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:a95ecc37929b65f5d3aa342b7c57ed4eb3d6d063a0b0b8cb858170da4e221e3b

Observation 3dc66850-6a3a-4a72-abf9-c07dd0b0f4d8 · outbound

This paper cites A lightweight intrusion detection method for iot based on deep learning and dynamic quantization. peerj comput. sci. 9, e1569 (2023).

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security A lightweight intrusion detection method for iot based on deep learning and dynamic quantization. peerj comput. sci. 9, e1569 (2023)

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.664814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:544c9b9ffe3f4e5a7d9af9813f3822487a4545d0349357fdc6e8aa91de5b8cff

Observation ac13bcf0-d53c-4840-8ee8-2deb199855d4 · outbound

This paper cites A lightweight network intrusion detec- tion method based on protocol-aware dynamic inverted residuals and a sliding-window multi-batch self-knowledge distillation strategy,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security A lightweight network intrusion detec- tion method based on protocol-aware dynamic inverted residuals and a sliding-window multi-batch self-knowledge distillation strategy,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.667345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:01f54e58357b4f61eb5f74e684a1449d35bf1734d6cad067665053c4991caf98

Observation ec75b934-7dc0-4097-8064-259c2d8dcb37 · outbound

This paper cites Lightweight intrusion detection model of the internet of things with hybrid cloud-fog computing,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Lightweight intrusion detection model of the internet of things with hybrid cloud-fog computing,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.694277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:be6cdcefa632bbefe88155e238d114d01a9ff209c5136154180425122f0dc95d

Observation c3a42a96-f33e-4633-abeb-560026b7ca64 · outbound

This paper cites A lightweight in- trusion detection system with dynamic feature fusion federated learning for vehicular network security,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security A lightweight in- trusion detection system with dynamic feature fusion federated learning for vehicular network security,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.574502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:3d304a07a98eaaba5055781ea2690128c8af2f08955734ef7e134fc1cd41f2b5

Observation 99660634-9e34-4003-b98f-6e818cec585b · outbound

This paper cites Cer-feaun: Certified feature unlearning in vertical federated learning,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Cer-feaun: Certified feature unlearning in vertical federated learning,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.576601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:54b5cf641558efea8a6301a8ddffc337cfdf53be84df62dda08cc9ad0729129a

Observation d4273865-5733-41a0-9a1c-992a030a8e7b · outbound

This paper cites Verifi: Towards verifiable federated unlearning,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Verifi: Towards verifiable federated unlearning,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T18:37:31.596809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-10T18:27:36.044723Z digest=sha256:f93d903d8afa650d22d17e0fe0cbccd82e79013e33a871befbf5a6efd8101645

Pith citing papers

No inbound Pith citation observations are available.