Paper Citation Record · LEDGER

Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems

As of 20 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 3 inbound Pith citation observations for arXiv:2505.02381.

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

pith.paper-citation-record.v1
2505.02381 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:57:47.200572Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:24:48.561052Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T22:30:43.121056Z

Reference resolution

20 of 20 outbound references displayed

verified exact0
verified fuzzy15
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a25e9fd-46e8-47e0-8ef1-aa74ffd85b74 · outbound

This paper cites The roadmap to 6G: AI empowered wireless networks,.

Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems The roadmap to 6G: AI empowered wireless networks,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:47.133148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a32ff251-ed6f-49c0-a0c1-d646cd3192d9 · outbound

This paper cites Edge artificial intelligence for 6G: Vision, enabling technologies, and applications,.

Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems Edge artificial intelligence for 6G: Vision, enabling technologies, and applications,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:47.137655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c676c559-fe57-49f1-a99a-bae344f59deb · outbound

This paper cites Deep learning for near-field XL-MIMO transceiver design: Principles and techniques,.

Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems Deep learning for near-field XL-MIMO transceiver design: Principles and techniques,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:47.395599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 58080eb2-99ee-4104-89f1-707ab1b45418 · outbound

This paper cites AI and Deep Learning for Terahertz Ultra-Massive MIMO: From Model-Driven Approaches to Foundation Models.

Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems AI and Deep Learning for Terahertz Ultra-Massive MIMO: From Model-Driven Approaches to Foundation Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:47.145018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73ed75f2-5197-4b69-8880-7b302b5cbf6a · outbound

This paper cites Multi-resolution codebook and adaptive beamforming sequence design for millimeter wave beam alignment,.

Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems Multi-resolution codebook and adaptive beamforming sequence design for millimeter wave beam alignment,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:47.386361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d931f2c5-b40a-45dd-b135-733d9342c1a8 · outbound

This paper cites Millimeter wave channel estimation via exploiting joint sparse and low-rank structures,.

Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems Millimeter wave channel estimation via exploiting joint sparse and low-rank structures,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:47.376104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bc219017-0773-47b0-b948-c4af02efedc1 · outbound

This paper cites Deep learning-based beam tracking for millimeter-wave communications under mobility,.

Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems Deep learning-based beam tracking for millimeter-wave communications under mobility,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:47.366233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 62d88447-2549-4412-b735-837171ec8097 · outbound

This paper cites Position-aided beam prediction in the real world: How useful GPS locations actually are?,.

Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems Position-aided beam prediction in the real world: How useful GPS locations actually are?,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:47.355680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 34f5a2ee-d509-43fa-8b34-900e2bc0fece · outbound

This paper cites Millimeter wave base stations with cameras: Vision-aided beam and blockage prediction,.

Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems Millimeter wave base stations with cameras: Vision-aided beam and blockage prediction,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:47.345721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 07f92868-6b02-4d69-b385-4911f0b0659a · outbound

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

Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems Radar aided 6G beam prediction: Deep learning algorithms and real-world demonstration,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:47.336652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cb7c60f7-ce8f-44f1-8466-4f40ea8cd9ea · outbound

This paper cites Lidar aided future beam prediction in real-world millimeter wave V2I communications,.

Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems Lidar aided future beam prediction in real-world millimeter wave V2I communications,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:47.327259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b07707ea-c430-4c4f-a2dd-f866fab2e65e · outbound

This paper cites Multimodal deep learning empowered millimeter-wave beam prediction,.

Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems Multimodal deep learning empowered millimeter-wave beam prediction,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:47.315853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ffdb0353-4c98-4784-803d-1e05eace5ea2 · outbound

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

Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems Multimodal Transformers for Wireless Communications: A Case Study in Beam Prediction

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:47.179230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4aeb3f31-639f-46b7-974f-69d7e6732afb · outbound

This paper cites Advancing multi-modal beam prediction with cross-modal feature enhancement and dynamic fusion mechanism,.

Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems Advancing multi-modal beam prediction with cross-modal feature enhancement and dynamic fusion mechanism,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:47.305632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1afd8461-a7a0-41f0-9a8d-aa15fd86277d · outbound

This paper cites Vision-position multi-modal beam prediction using real millimeter wave datasets,.

Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems Vision-position multi-modal beam prediction using real millimeter wave datasets,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:47.293862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d8193798-e6c3-4f09-ba71-e7092c9b6abc · outbound

This paper cites PointNet: Deep learning on point sets for 3D classification and segmentation,.

Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems PointNet: Deep learning on point sets for 3D classification and segmentation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:47.284051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7b94cefe-9077-4f60-93f1-f4b9c51354aa · outbound

This paper cites PointNet++: Deep hierarchical feature learning on point sets in a metric space,.

Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems PointNet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:47.274407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5dfde52b-a51f-4c34-8373-8f2169e5aa99 · outbound

This paper cites Deep residual learning for image recognition,.

Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems Deep residual learning for image recognition,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:47.193169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7492246e-dc9e-46b5-bc09-fedc527794aa · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:47.254379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 390cec56-df32-4bd5-b0b0-881d01a40fa9 · outbound

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

Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems Deepsense 6G: A large-scale real-world multi-modal sensing and communication dataset,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:47.245228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation b99ffa39-2da8-4f87-bacb-15c53ab735b7 · inbound

M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models cites this paper.

M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:48.561052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications cites this paper.

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 2026-08-19T06:32:44.657259+00:00.

Observation 8300d994-ef7d-4669-a46e-9c04912817ea · inbound

Data-Free Knowledge Distillation for LiDAR-Aided Beam Tracking in MmWave Systems cites this paper.

Data-Free Knowledge Distillation for LiDAR-Aided Beam Tracking in MmWave Systems Multimodal Deep Learning-Empowered Beam Prediction in Future THz ISAC Systems

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T15:40:23.229506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.