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Paper Citation Record · LEDGER

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing

As of 20 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.13678.

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

pith.paper-citation-record.v1
2607.13678 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T04:32:19.203778Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

40 of 40 outbound references displayed

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  • verified fuzzy0
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cf817d89-5c9c-4bee-987a-c7c32d07a765 · outbound

This paper cites 6g wavesfm: A foundation model for sensing, communication, and localization,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing 6g wavesfm: A foundation model for sensing, communication, and localization,

Reference 1

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source=pdf_text observed=2026-08-02T04:32:14.976838Z digest=sha256:e8ecb2862259e37ba33b6072bc1a21624781478924bb5a4b49cd4275fb596cb2

Observation 1a860225-77be-41da-9ea1-0ab7b93eb672 · outbound

This paper cites Survey of important issues in UA V communication networks,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing Survey of important issues in UA V communication networks,

Reference 2

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source=pdf_text observed=2026-08-02T04:32:15.079873Z digest=sha256:6daa31c84d9119255d6a4f8d59cda421484007dfd6e138fa3b6961ba10cca9c4

Observation 976377f9-c4fb-4406-89d8-6713052e9048 · outbound

This paper cites A survey of sensors based autonomous unmanned aerial vehicle UA V localization techniques,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing A survey of sensors based autonomous unmanned aerial vehicle UA V localization techniques,

Reference 3

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source=pdf_text observed=2026-08-02T04:32:15.231655Z digest=sha256:d030e3dd314a4c9082be63552be00a0a18c1d7ad6648028390e9cf936384f63d

Observation 74483f22-6c23-438f-99b9-2910d1698424 · outbound

This paper cites Low-Altitude Wireless Networks: A Comprehensive Survey.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing Low-Altitude Wireless Networks: A Comprehensive Survey

Reference 4

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source=pdf_text observed=2026-08-02T04:32:15.294690Z digest=sha256:2f8d2ce4d8389415b09367908b42624db88076c28f79cd5b390fb21aa164372b

Observation ce8d5fdf-8c26-4b5c-966d-7289dde6717d · outbound

This paper cites A survey of channel modeling for UA V communications,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing A survey of channel modeling for UA V communications,

Reference 5

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source=pdf_text observed=2026-08-02T04:32:15.332655Z digest=sha256:2d84c2ebae940f0bae2e3d85059ceb1cded97194ab8a76b7d7dcc684d54fa810

Observation 0437e3c7-4f6a-47ed-92ed-6c2c49fe30b1 · outbound

This paper cites UA V detection and tracking in urban en- vironments using passive sensors: A survey,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing UA V detection and tracking in urban en- vironments using passive sensors: A survey,

Reference 6

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source=pdf_text observed=2026-08-02T04:32:15.504665Z digest=sha256:07ea4806fcea8f9c88ac597f18b98536a04112e3bee492a35b317663c59b8703

Observation 84cdf1d7-9ae6-4a6f-9979-49310f0b4dd3 · outbound

This paper cites UAV Position Estimation using a LiDAR-based 3D Object Detection Method.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing UAV Position Estimation using a LiDAR-based 3D Object Detection Method

Reference 7

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source=pdf_text observed=2026-08-02T04:32:15.621739Z digest=sha256:7c9fc42d3088219df7991a41cd280e6e0a5c51a02da96345e9c293554c5906cf

Observation 7f51f0ac-d8ca-4395-8c0b-de8362e0427b · outbound

This paper cites Localization of unmanned aerial vehicles in corridor environments using deep learning,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing Localization of unmanned aerial vehicles in corridor environments using deep learning,

Reference 8

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source=pdf_text observed=2026-08-02T04:32:15.753372Z digest=sha256:e99e3bf7a9e938d07b57bed821c55c04fc9418d704f9cd7a284996ce55660e25

Observation d9aeb1da-dbc3-4336-ade7-9e5413b47d14 · outbound

This paper cites CSI-based fingerprinting for indoor localization: A deep learning approach,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing CSI-based fingerprinting for indoor localization: A deep learning approach,

Reference 9

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source=pdf_text observed=2026-08-02T04:32:15.907287Z digest=sha256:acd0482e02d60dab32c2f49125d83c807eff8a1f5b3516bef86a423178b5f052

Observation 41adee83-53df-4b1b-9c0d-0b631ecdca02 · outbound

This paper cites Towards real-world 6G drone communication: Position and camera aided beam prediction,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing Towards real-world 6G drone communication: Position and camera aided beam prediction,

Reference 10

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source=pdf_text observed=2026-08-02T04:32:16.094038Z digest=sha256:6054cdc7c79df9a275985910f8066b88190cc75ecda10a64a3fdb5d120c82839

Observation 0f1609ef-4407-4a6b-bf71-712cd5ee20cf · outbound

This paper cites Machine learning on camera images for fast mmwave beamforming,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing Machine learning on camera images for fast mmwave beamforming,

Reference 11

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source=pdf_text observed=2026-08-02T04:32:16.241677Z digest=sha256:558a85381f9c331737661701862ada33db2631f7cebb827a3a3472096e99089c

Observation 915f608e-fc55-4a0f-ab7f-19a0e8d7c791 · outbound

This paper cites LiDAR Aided Future Beam Prediction in Real-World Millimeter Wave V2I Communications.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing LiDAR Aided Future Beam Prediction in Real-World Millimeter Wave V2I Communications

Reference 12

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source=pdf_text observed=2026-08-02T04:32:16.415102Z digest=sha256:78e263a16fdcb00fed17ba934b50cc9af6537fbf110dd07da50f0c3b8dff2041

Observation 23bc1b54-c83c-4976-b336-9d29d03e7714 · outbound

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

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing Radar aided 6G beam prediction: Deep learning algorithms and real-world demonstration,

Reference 13

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source=pdf_text observed=2026-08-02T04:32:16.588191Z digest=sha256:d071b50b5fc8ae0a446d95a0fc62ab2dc796b72dd0eb5f4474967c63e7f122f4

Observation a5b52ded-6a5a-4e8c-a9f7-93872621a9bb · outbound

This paper cites Deep learning-based channel prediction for TDD MIMO systems with imperfect channel reciprocity,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing Deep learning-based channel prediction for TDD MIMO systems with imperfect channel reciprocity,

Reference 14

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source=pdf_text observed=2026-08-02T04:32:16.736218Z digest=sha256:5c6cfb54f0097224411994809b04510de265dbfe891a81cac253256b50b1642f

Observation 4e284fc6-878c-40df-9af9-edf9334fdfbb · outbound

This paper cites Long short-term memory network for wireless channel prediction,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing Long short-term memory network for wireless channel prediction,

Reference 15

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source=pdf_text observed=2026-08-02T04:32:16.850823Z digest=sha256:6416c20b40ba9f1a5979aeb713c8e20b471eff3abd00cc290e43cda76cd501f5

Observation 6c893996-d030-4110-b197-12fb72d6cdc9 · outbound

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

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing Deepsense 6G: A large- scale real-world multi-modal sensing and communication dataset,

Reference 16

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source=pdf_text observed=2026-08-02T04:32:16.988949Z digest=sha256:487ea9798f58a71e087253b6b22ad85c517a09fd8e65eed87197c3d0182d7feb

Observation 5aa836d9-bfb4-4ee0-af9f-d56ba417cd40 · outbound

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

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing Vision-position multi-modal beam prediction using real millimeter wave datasets,

Reference 17

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source=pdf_text observed=2026-08-02T04:32:17.105014Z digest=sha256:87aab8cd625dcbfab6850eab45f59bbdc3385115f7ca31d104666424117bc510

Observation f0491570-b76b-4b0d-9848-0f915fd71bf8 · outbound

This paper cites Vision-assisted beam prediction for real world 6G drone communication,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing Vision-assisted beam prediction for real world 6G drone communication,

Reference 18

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source=pdf_text observed=2026-08-02T04:32:17.234981Z digest=sha256:21e7fb3924f6faf1d454a154963972f5db140c1a9fe03d0e80e696e95345b1e0

Observation 4611f2d3-7fdc-4ac9-98a5-19f415177509 · outbound

This paper cites Multimodal trans- formers for wireless communications: A case study in beam prediction,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing Multimodal trans- formers for wireless communications: A case study in beam prediction,

Reference 19

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source=pdf_text observed=2026-08-02T04:32:17.412296Z digest=sha256:7bff45354fdff2ac8058aa27e32725518286e0fae0f667d61cf9dfabfb8617ba

Observation bbf78f41-a5dd-4552-a932-a943c3d47460 · outbound

This paper cites Multi-modal sensing-assisted beam prediction using real-world dataset,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing Multi-modal sensing-assisted beam prediction using real-world dataset,

Reference 20

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source=pdf_text observed=2026-08-02T04:32:17.586061Z digest=sha256:4393ad9f012f2608522053ad4e89c2cd8346263fce711bdf77202095cdddd654

Observation 757e0fba-c084-49f2-a905-49dd6ea45fc1 · outbound

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

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models

Reference 21

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source=pdf_text observed=2026-08-02T04:32:17.700079Z digest=sha256:e31d3b821e0e585626cd640a2859d5ad04df47d9874adfa52f43b20bc33bc554

Observation 712f674f-b9ea-490b-9f84-a79e3576669e · outbound

This paper cites A novel multimodal fusion sensing-based channel prediction method for uav communications,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing A novel multimodal fusion sensing-based channel prediction method for uav communications,

Reference 22

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source=pdf_text observed=2026-08-02T04:32:17.823836Z digest=sha256:8c491207f7a76890ce01f22a6017092bc5c414c51f883840481791ffc46f6c07

Observation 1a277476-2969-4d8a-ac88-8c17038709dc · outbound

This paper cites Language models are few-shot learners,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing Language models are few-shot learners,

Reference 23

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source=pdf_text observed=2026-08-02T04:32:17.906042Z digest=sha256:92d4ee05cb04e271f6946bf8a71a8069020479c0d5c37f3462e681ff0ddeaf85

Observation 19989b6d-dde2-47d5-812a-b81c64145240 · outbound

This paper cites PaLM: Scaling language modeling with pathways,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing PaLM: Scaling language modeling with pathways,

Reference 24

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source=pdf_text observed=2026-08-02T04:32:17.995751Z digest=sha256:c0c6bafff96bb03b7ba8d91f0994db51509d9d4d70aeaf56033c3aa51c24adef

Observation 3d58d5da-b406-4a86-a13f-782765127e84 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing LLaMA: Open and Efficient Foundation Language Models

Reference 25

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source=pdf_text observed=2026-08-02T04:32:18.069135Z digest=sha256:c1b21b66bc9277243efa23e3f3befe066340b7b3c3a623a940135fd372d05798

Observation 3c92bdf9-1ff9-4047-8b8a-898da5c56e4a · outbound

This paper cites TelecomGPT: A framework to build telecom-specific large language models,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing TelecomGPT: A framework to build telecom-specific large language models,

Reference 26

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source=pdf_text observed=2026-08-02T04:32:18.147667Z digest=sha256:863cb59c8f5cd62b2ae000af20e749c3cdc1741709f7b0cd5654773179dc704c

Observation ca847dfd-a2b0-4b06-8a0c-4af99ffc8132 · outbound

This paper cites LLM4CP: adapting large language models for channel prediction,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing LLM4CP: adapting large language models for channel prediction,

Reference 27

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source=pdf_text observed=2026-08-02T04:32:18.213901Z digest=sha256:3df96f2a0f6cf3d1c89cdf84aec5295642a21ca967b2dbb021e9099e69410ed8

Observation ae0c18a8-c131-4e51-90fb-665cf838202f · outbound

This paper cites LLM4WM: Adapting llm for wireless multi-tasking,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing LLM4WM: Adapting llm for wireless multi-tasking,

Reference 28

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source=pdf_text observed=2026-08-02T04:32:18.275447Z digest=sha256:0ac3ec7142bad2cd5d8005799405fdc95b152d6ecb9e6c5fa10c48b3309c7e25

Observation b9f472ba-fbcd-43b4-abea-d9f1aeaf9649 · outbound

This paper cites Large Wireless Model (LWM): A Foundation Model for Wireless Channels.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 29

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source=pdf_text observed=2026-08-02T04:32:18.347217Z digest=sha256:083f1a131f379381edfbd6c00e27a9780f903989b87c2c2e2a33f4a3dfcc6537

Observation d7db0501-1833-4309-9735-f596a58ddc51 · outbound

This paper cites WiFo: wireless foundation model for channel prediction,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing WiFo: wireless foundation model for channel prediction,

Reference 30

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source=pdf_text observed=2026-08-02T04:32:18.436311Z digest=sha256:5c1b0097d098f061c7aaeb31db8b52d02040bd8e11c4213095f17221a1a3c008

Observation 9793833b-2c73-4cb1-8c55-1d86642fa11e · outbound

This paper cites AirFM-DDA: Air-interface foundation model in the delay-doppler-angle domain for AI-native 6G,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing AirFM-DDA: Air-interface foundation model in the delay-doppler-angle domain for AI-native 6G,

Reference 31

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source=pdf_text observed=2026-08-02T04:32:18.496366Z digest=sha256:427bbe45471d8d3503ac016fd89df7a68f19d9d15e20e580d8e362ba26da3a29

Observation 569199ee-7467-40d4-a471-56a44be609ea · outbound

This paper cites 6G WavesFM: A foundation model for sensing, communication, and localization,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing 6G WavesFM: A foundation model for sensing, communication, and localization,

Reference 32

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source=pdf_text observed=2026-08-02T04:32:18.533725Z digest=sha256:38b5e3877bddd7a80dc3e756d5831a04501e979dd2bfd4593b184bdcf0e63378

Observation f8e32599-8111-473a-b612-aa1376de02e6 · outbound

This paper cites A MIMO wireless channel foundation model via CIR-CSI consistency,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing A MIMO wireless channel foundation model via CIR-CSI consistency,

Reference 33

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source=pdf_text observed=2026-08-02T04:32:18.590366Z digest=sha256:a7567636dd4eb072d96d70090b7639e123e226e4b27f5ae79f96c3e44de25371

Observation 3c3463e8-97c7-4d6f-887f-2927be4c00ba · outbound

This paper cites MUSE-FM: Multi-task environment- aware foundation model for wireless communications,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing MUSE-FM: Multi-task environment- aware foundation model for wireless communications,

Reference 34

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source=pdf_text observed=2026-08-02T04:32:18.655544Z digest=sha256:163f641a60910e3ed55d244e76e0f7519472214b8321d4e96231ba9d6ca368e4

Observation 55be0124-6628-44eb-8951-07234cf1abb2 · outbound

This paper cites Multimodal mixture-of-experts for ISAC in low-altitude wireless networks,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing Multimodal mixture-of-experts for ISAC in low-altitude wireless networks,

Reference 35

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source=pdf_text observed=2026-08-02T04:32:18.713241Z digest=sha256:e3028f1feba87035ce7a37132d45d169c5263043eaab4a007b58d77853a6165a

Observation ec772f45-9387-4e55-a464-437ecc43a145 · outbound

This paper cites MultiMAE: Multi-modal multi-task masked autoencoders,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing MultiMAE: Multi-modal multi-task masked autoencoders,

Reference 36

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Observation f34ad463-2fac-4ef7-8d27-50f6e5ab1bd4 · outbound

This paper cites Towards robust multimodal physio- logical foundation models: Handling arbitrary missing modalities,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing Towards robust multimodal physio- logical foundation models: Handling arbitrary missing modalities,

Reference 37

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This paper cites X-Fi: A modality-invariant foundation model for multimodal human sensing,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing X-Fi: A modality-invariant foundation model for multimodal human sensing,

Reference 38

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Observation cc272891-f0cf-4916-bc9e-64568b5d984d · outbound

This paper cites MobileNetV2: Inverted residuals and linear bottlenecks,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing MobileNetV2: Inverted residuals and linear bottlenecks,

Reference 39

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Observation c1eb02f2-0a2e-44ca-b725-59e38e72ac0b · outbound

This paper cites Masked autoencoders for point cloud self-supervised learning,.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing Masked autoencoders for point cloud self-supervised learning,

Reference 40

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