Paper Citation Record · LEDGER

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications

As of 7 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 2 inbound Pith citation observations for arXiv:2509.11419.

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

pith.paper-citation-record.v1
2509.11419 v3

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T22:27:47.923494Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T07:28:02.140152Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T07:36:44.729055Z

Reference resolution

69 of 69 outbound references displayed

verified exact10
verified fuzzy58
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dd0c1302-bfd7-4964-b91d-83624d213095 · outbound

This paper cites The roa d towards 6G: A comprehensive survey.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications The roa d towards 6G: A comprehensive survey

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.273371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae5828f7-543c-40a7-b253-43f288e67ea2 · outbound

This paper cites Beam training and trac king in mmwave communication: A survey.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Beam training and trac king in mmwave communication: A survey

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.265136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 97c2f618-7feb-40eb-bdd3-a46d813681a3 · outbound

This paper cites Environment sema ntic communication: Enabling distributed sensing aided networ ks.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Environment sema ntic communication: Enabling distributed sensing aided networ ks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.237659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 072dcbf1-2b65-442b-b442-879b079ba697 · outbound

This paper cites Integrated sensin g and communications (ISAC) for vehicular communication networ ks (VCN).

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Integrated sensin g and communications (ISAC) for vehicular communication networ ks (VCN)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.260841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3495acf8-2dd5-4e6c-bcea-af8d51047ddb · outbound

This paper cites Artiﬁcial intelligence-empowered hybrid multiple-inpu t/multiple- output beamforming: Learning to optimize for high-through put scalable MIMO.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Artiﬁcial intelligence-empowered hybrid multiple-inpu t/multiple- output beamforming: Learning to optimize for high-through put scalable MIMO

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.267415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 58fb8654-b055-4761-b014-4c55699aa8f7 · outbound

This paper cites Model-based machine learning for Max-Min fairn ess beamforming design in JCAS systems.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Model-based machine learning for Max-Min fairn ess beamforming design in JCAS systems

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.280041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation efa767d4-3163-4bbe-af43-9cf193009afd · outbound

This paper cites Hierarchical codeb ook design for beamforming training in millimeter-wave communicatio n.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Hierarchical codeb ook design for beamforming training in millimeter-wave communicatio n

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.253541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a0c797db-d9a1-4584-9de7-f51c81cb6baa · outbound

This paper cites Explore and eliminate: Optimized two-stage search for millimeter- wave beam alignment.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Explore and eliminate: Optimized two-stage search for millimeter- wave beam alignment

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.297087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3b86f2e5-ea77-4eab-a0df-3ab49dca82ef · outbound

This paper cites Hierarchical cod ebook- based multiuser beam training for millimeter wave massive M IMO.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Hierarchical cod ebook- based multiuser beam training for millimeter wave massive M IMO

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.292680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6157fba7-934b-4ef8-8115-8ad18d55d03a · outbound

This paper cites Robust be am- tracking for mmWave mobile communications.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Robust be am- tracking for mmWave mobile communications

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.286732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e17256c3-b1cc-43ae-a736-cbc7e3abd174 · outbound

This paper cites Beam tracking under hig hly nonlinear mobile millimeter-wave channel.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Beam tracking under hig hly nonlinear mobile millimeter-wave channel

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.299083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 60b7f9fa-d734-4fbb-9165-39e0ad574778 · outbound

This paper cites Robust adaptive beam tracking for mobile millimet re wave communications.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Robust adaptive beam tracking for mobile millimet re wave communications

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.290654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5903a5b8-7687-4d05-a20d-491cdc9e4c79 · outbound

This paper cites Zhang, A.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Zhang, A

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.288692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fc03616f-6fb4-4001-ae89-2f6cce03f3cd · outbound

This paper cites Beam allocation for millimeter-wave MIMO tracking system s.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Beam allocation for millimeter-wave MIMO tracking system s

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.284381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7d0c5580-9cb4-4bf5-b291-b2a61b13a92f · outbound

This paper cites Closed-form hybrid b eamforming solution for spectral efﬁciency upper bound maximization i n mmWave MIMO-OFDM systems.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Closed-form hybrid b eamforming solution for spectral efﬁciency upper bound maximization i n mmWave MIMO-OFDM systems

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.282111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation be205b45-828d-424a-a716-b22e310ea320 · outbound

This paper cites Deep learning coordinated beamforming for highly-mobile milli meter wave systems.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Deep learning coordinated beamforming for highly-mobile milli meter wave systems

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.295004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c3bf8760-fd8e-430a-950c-18788c86d9d1 · outbound

This paper cites D esign and implementation for deep learning based adjustable beam forming training for millimeter wave communication systems.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications D esign and implementation for deep learning based adjustable beam forming training for millimeter wave communication systems

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.347834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 85599f87-7a23-4a97-b6db-012bacbc521c · outbound

This paper cites Model-driven dee p learning assisted beam tracking for millimeter-wave systems.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Model-driven dee p learning assisted beam tracking for millimeter-wave systems

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.326578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2f9f021a-63ff-4af1-850f-19102e5b8964 · outbound

This paper cites Fast MIMO beamfo rming via deep reinforcement learning for high mobility mmWave conne ctivity.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Fast MIMO beamfo rming via deep reinforcement learning for high mobility mmWave conne ctivity

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.339343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9ff17231-bbe1-4f6a-9cbb-f74c51ca1c3e · outbound

This paper cites Continuous-time m mWave beam prediction with ODE-LSTM learning architecture.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Continuous-time m mWave beam prediction with ODE-LSTM learning architecture

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.307534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 63475f63-d877-4641-86ed-19108282a743 · outbound

This paper cites Deep unfolding hybrid beamfo rming designs for THz massive MIMO systems.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Deep unfolding hybrid beamfo rming designs for THz massive MIMO systems

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.315296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b373c7b7-f5d2-4a5d-8d39-7a516739be8d · outbound

This paper cites Multimodal fusio n assisted mmwave beam training in dual-model networks.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Multimodal fusio n assisted mmwave beam training in dual-model networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.311366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a012339c-fc18-432a-a4a4-46772e4ca27c · outbound

This paper cites In tegrated sensing and communication-enabled predictive beamformin g with deep learning in vehicular networks.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications In tegrated sensing and communication-enabled predictive beamformin g with deep learning in vehicular networks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.309534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3dfa0216-b495-4fcf-aa35-29bb66e34bf4 · outbound

This paper cites Learning-based predictive beamforming for integrated se nsing and communication in vehicular networks.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Learning-based predictive beamforming for integrated se nsing and communication in vehicular networks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.354967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 19557374-de2b-4c20-9dca-c66733009b23 · outbound

This paper cites LiDAR aided futu re beam prediction in real-world millimeter wave V2I communicatio ns.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications LiDAR aided futu re beam prediction in real-world millimeter wave V2I communicatio ns

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.328868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 70e9d172-5ea6-4eb9-8f6e-e915fa273563 · outbound

This paper cites LID AR data for deep learning-based mmWave beam-selection.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications LID AR data for deep learning-based mmWave beam-selection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.352882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 377f7b5f-1866-4800-90a3-20a749514f26 · outbound

This paper cites Radar aided 6G beam predi ction: Deep learning algorithms and real-world demonstration.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Radar aided 6G beam predi ction: Deep learning algorithms and real-world demonstration

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.361924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c6fd9c26-37a2-4ece-8c6c-46245c1bb91b · outbound

This paper cites Millimeter wave V2V beam tracking using radar: Algorithms and real-world demonstra tion.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Millimeter wave V2V beam tracking using radar: Algorithms and real-world demonstra tion

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.318227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4537a2be-900d-4d4f-acb5-3907dd74309e · outbound

This paper cites Environment s emantics aided wireless communications: A case study of mmWave beam prediction and blockage prediction.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Environment s emantics aided wireless communications: A case study of mmWave beam prediction and blockage prediction

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.321277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3c390596-4a26-441f-86a2-0becd65fbf7d · outbound

This paper cites Vision-position multi-modal beam prediction using real m illimeter wave datasets.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Vision-position multi-modal beam prediction using real m illimeter wave datasets

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.334814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6fed3e96-4abf-44bd-95b4-6700c3aa304a · outbound

This paper cites 3D scene-based b eam selection for mmWave communications.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications 3D scene-based b eam selection for mmWave communications

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.337164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c029223b-d155-42e5-93a9-0e0f99f892a2 · outbound

This paper cites Intelligent multi-modal sen sing- communication integration: Synesthesia of machines.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Intelligent multi-modal sen sing- communication integration: Synesthesia of machines

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.345692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cc9ea078-6475-49bc-b312-51d8971ab157 · outbound

This paper cites Se nsing- assisted high reliable communication: A transformer-base d beamforming approach.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Se nsing- assisted high reliable communication: A transformer-base d beamforming approach

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.342574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4e87c6b8-5702-4ba4-a90b-47437cc0f1b1 · outbound

This paper cites Deep quantum-transformer networks for multimodal beam pr ediction in ISAC systems.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Deep quantum-transformer networks for multimodal beam pr ediction in ISAC systems

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.305659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 831bdbf8-11df-4e43-95bd-80d16b1efc0f · outbound

This paper cites Multimodal Transformers for Wireless Communications: A Case Study in Beam Prediction.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Multimodal Transformers for Wireless Communications: A Case Study in Beam Prediction

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:30:43.136985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c555ec23-f140-4d49-8e6a-7be57e325cf7 · outbound

This paper cites Multimodal d eep learning empowered millimeter-wave beam prediction.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Multimodal d eep learning empowered millimeter-wave beam prediction

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.303471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7a25ef02-7b10-433a-9105-d8aa26f0cdfb · outbound

This paper cites Resource-efficient beam pre- diction in mmwave communications with multimodal realistic simulation framework.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Resource-efficient beam pre- diction in mmwave communications with multimodal realistic simulation framework

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:30:43.132168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 482992d0-5a2e-46b9-8684-e0a4c73c6ebc · outbound

This paper cites Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:30:43.123448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 30c25d7c-2606-46d0-9596-7c56d24e0833 · outbound

This paper cites Advancing mu lti-modal beam prediction with cross-modal feature enhancement and d ynamic fusion mechanism.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Advancing mu lti-modal beam prediction with cross-modal feature enhancement and d ynamic fusion mechanism

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.301325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5197bd9d-5e6a-47d3-a0f2-6270e8d40803 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Distilling the Knowledge in a Neural Network

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-21T22:30:43.117858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 14743f9e-9e06-46b4-a031-3908c2839a94 · outbound

This paper cites Compacting deep neural networks for Internet of Things: Me thods and applications.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Compacting deep neural networks for Internet of Things: Me thods and applications

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.378016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0d01ae46-d2a9-4168-a797-c38f3d838937 · outbound

This paper cites Towards understanding knowl edge distillation.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Towards understanding knowl edge distillation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.375590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 13624836-f3ef-4c52-8914-18ca063812fa · outbound

This paper cites Understanding and Improving Knowledge Distillation.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Understanding and Improving Knowledge Distillation

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T22:30:43.140858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5a5e6156-612a-4de9-98a6-914cde570e62 · outbound

This paper cites Self-disti llation ampliﬁes regularization in Hilbert space.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Self-disti llation ampliﬁes regularization in Hilbert space

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.373329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9d74e2a4-c0a2-4c61-b08d-dc8fd303c499 · outbound

This paper cites Mode l compression.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Mode l compression

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.371125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 931f6474-9300-4272-94ac-44ada62f60fe · outbound

This paper cites Do deep nets really need to be deep?.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Do deep nets really need to be deep?

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.359739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 837fb9e9-caa1-4be3-aac5-f718b2c11123 · outbound

This paper cites Model compression via distillation and quantization.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Model compression via distillation and quantization

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-05-21T22:30:43.127447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8e3ea769-05b0-4bbd-b03b-479e7c56e26e · outbound

This paper cites Knowledge distillatio n-aided end-to-end learning for linear precoding in multiuser MIMO downlink systems with ﬁnite-rate feedback.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Knowledge distillatio n-aided end-to-end learning for linear precoding in multiuser MIMO downlink systems with ﬁnite-rate feedback

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.368817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a7aa3bd8-406d-47c5-a82d-331d8aff2774 · outbound

This paper cites Kno wledge- distillation-aided lightweight neural network for massiv e MIMO CSI feedback.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Kno wledge- distillation-aided lightweight neural network for massiv e MIMO CSI feedback

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.366492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 60e22e5e-f7b3-43b7-ae15-6273694ad278 · outbound

This paper cites De fensive distillation-based adversarial attack mitigation method for channel estimation using deep learning models in next-generation w ireless networks.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications De fensive distillation-based adversarial attack mitigation method for channel estimation using deep learning models in next-generation w ireless networks

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.364208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bfa2d1b0-991f-497f-945b-ce8b7dd76f5a · outbound

This paper cites Environment know ledge-aided massive MIMO feedback codebook enhancement using artiﬁcia l intelli- gence.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Environment know ledge-aided massive MIMO feedback codebook enhancement using artiﬁcia l intelli- gence

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.313284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 516d90ce-1225-446c-8c50-10f018da9ba3 · outbound

This paper cites Knowledge dist illation- based semantic communications for multiple users.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Knowledge dist illation- based semantic communications for multiple users

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.277896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fe81732f-abd7-4128-ace3-e16b13b32c4d · outbound

This paper cites Knowledge distillation based deep lear ning model for user equipment positioning in massive MIMO systems usin g ﬂying reconﬁgurable intelligent surfaces.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Knowledge distillation based deep lear ning model for user equipment positioning in massive MIMO systems usin g ﬂying reconﬁgurable intelligent surfaces

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.242287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2904a6b8-8d71-42f9-b47e-539b76b908e6 · outbound

This paper cites Lear ning efﬁcient and accurate detectors with dynamic knowledge dis tillation in remote sensing imagery.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Lear ning efﬁcient and accurate detectors with dynamic knowledge dis tillation in remote sensing imagery

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.251349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 14981bdb-4650-45f3-b764-eaa2f6bfbffe · outbound

This paper cites Cross-m odal knowledge distillation for vision-to-sensor action recog nition.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Cross-m odal knowledge distillation for vision-to-sensor action recog nition

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.275665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2daa918f-3edb-4c42-904f-2e76fcf3c596 · outbound

This paper cites Computer vision aided beam t racking in a real-world millimeter wave deployment.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Computer vision aided beam t racking in a real-world millimeter wave deployment

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.240006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0418b222-fe81-4037-b17d-de6a1cf92393 · outbound

This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-05-21T22:30:43.093119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 63f79254-7cf1-49de-ad01-831f29964edd · outbound

This paper cites Thomas and A.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Thomas and A

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.269253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 07e304fe-cc37-49af-85e5-51f24b3b0a6e · outbound

This paper cites Fundamentals of recurrent neural net work (RNN) and long short-term memory (LSTM) network.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Fundamentals of recurrent neural net work (RNN) and long short-term memory (LSTM) network

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.244545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8f560ff7-b858-4ea9-bfca-e949eb7104a0 · outbound

This paper cites Attention is all you ne ed.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Attention is all you ne ed

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.263034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 408bda99-d816-402a-9a05-1bf656214fbe · outbound

This paper cites GPT-4 Technical Report.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications GPT-4 Technical Report

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-05-21T22:30:43.074386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4f1e376e-dc3a-4b3a-be16-6555f5782d1e · outbound

This paper cites DeepSeek-V3 Technical Report.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications DeepSeek-V3 Technical Report

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-05-21T22:30:43.107956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2e9c93db-b5de-4bf6-9817-41cf01746f2c · outbound

This paper cites Gate-variants of gated recurren t unit (GRU) neural networks.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Gate-variants of gated recurren t unit (GRU) neural networks

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.271338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c78f8d1c-f73e-4bb0-9c35-11dcbd621c11 · outbound

This paper cites Rethinking the Value of Network Pruning.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Rethinking the Value of Network Pruning

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-05-21T22:30:43.113410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4ce57705-ce92-4d25-b11c-3c35496b6a0e · outbound

This paper cites A compre hensive survey on model quantization for deep neural networks in ima ge classiﬁcation.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications A compre hensive survey on model quantization for deep neural networks in ima ge classiﬁcation

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.246681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 14f93aef-7a95-4295-b933-89eb9dc585f7 · outbound

This paper cites Does knowledge distillation really work?.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Does knowledge distillation really work?

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.255975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 28afe760-7316-492d-b021-f8bc626d9080 · outbound

This paper cites Focal loss for dense object detection.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Focal loss for dense object detection

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.249166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9a7ece5b-a569-47ec-978d-70f8ad3c7d96 · outbound

This paper cites Deepsense 6G: A large-scale real-world multi-modal sensing and communication dataset.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Deepsense 6G: A large-scale real-world multi-modal sensing and communication dataset

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T22:35:43.258328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c690d4ef-d69b-4186-87cf-10f0b0b0d239 · outbound

This paper cites Multi-Modal Beam Prediction Challenge 2022: Towards Generalization.

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications Multi-Modal Beam Prediction Challenge 2022: Towards Generalization

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:30:43.079128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 66922d02-c208-4088-a596-26419e4c6684 · inbound

Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking cites this paper.

Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-21T02:04:52.038621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c1483924-a22d-446c-85f3-5b4ff685a78f · inbound

Lightweight Vision-Aided Beam Tracking for Cross-Environment mmWave Communications cites this paper.

Lightweight Vision-Aided Beam Tracking for Cross-Environment mmWave Communications Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-02T07:36:44.730226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.