Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-13T15:33:59.448352Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2603.29795.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-13T15:33:59.448352Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
44 of 44 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation e17076c3-4bb3-454e-bf6e-59cfb744b4ef · outbound
Topological sum rule for geometric phases of quantum gates Study on artificial intelligence (AI)/machine learning (ML) for NR air interface (Release 19),
Reference 1
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Observation 95034889-12fc-4f34-85a7-86b7397c93e8 · outbound
Topological sum rule for geometric phases of quantum gates AI-RAN in 6G networks: State-of-the- art and challenges,
Reference 2
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Observation 0165e814-0373-4ad6-a2f5-60e29d33305f · outbound
Topological sum rule for geometric phases of quantum gates AI- RAN: Transforming RAN with AI-driven computing infrastructure,
Reference 3
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Observation 67498db0-31c6-467b-a8a8-a250b6a21469 · outbound
Topological sum rule for geometric phases of quantum gates AI-Native 6G: Empowering intelligent RAN with accelerated compute,
Reference 4
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Observation dcfad585-5b6c-46dd-86bf-14f3b8de7ec8 · outbound
Topological sum rule for geometric phases of quantum gates An introduction to deep learning for the physical layer,
Reference 5
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Observation 16cd365c-99e7-43b3-a8fb-b1bfdf4c82c8 · outbound
Topological sum rule for geometric phases of quantum gates Deep learning for massive MIMO CSI feedback,
Reference 6
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Observation 1e15a79b-f529-438b-bcc6-6eb6c07b65be · outbound
Topological sum rule for geometric phases of quantum gates ComNet: Combination of deep learning and expert knowledge in OFDM receivers,
Reference 7
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Observation 2e84ce38-7414-4d90-98aa-ff7a43d69b97 · outbound
Topological sum rule for geometric phases of quantum gates Deep learning-based channel estimation,
Reference 8
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Observation 9f881cf9-bead-44ad-8ed8-ca48183dc115 · outbound
Topological sum rule for geometric phases of quantum gates Large AI models for wireless physical layer,
Reference 9
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Observation 9ef19183-2ba4-47cd-a9f8-56d5dc382713 · outbound
Topological sum rule for geometric phases of quantum gates LLM4CP: Adapting large language models for channel prediction,
Reference 10
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Observation 3dd64fdb-9856-4cf6-8492-56976422265e · outbound
Topological sum rule for geometric phases of quantum gates Beam prediction based on large language models,
Reference 11
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Observation 6968542a-5ed7-491d-9809-6a04711e0e14 · outbound
Topological sum rule for geometric phases of quantum gates BeamLLM: Vision- empowered mmWave beam prediction with large language models,
Reference 12
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Observation e82aaa2a-95c8-4412-8f0e-a40203176bd6 · outbound
Topological sum rule for geometric phases of quantum gates M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models
Reference 13
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Observation 2c9f9715-ad28-4a8b-b258-418339182d32 · outbound
Topological sum rule for geometric phases of quantum gates WirelessGPT: A generative pre-trained multi-task learning framework for wireless communication,
Reference 14
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Observation 8c8682b0-a2f5-42dd-9277-9e71ff408b25 · outbound
Topological sum rule for geometric phases of quantum gates Large Wireless Model (LWM): A Foundation Model for Wireless Channels
Reference 15
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Observation cfb1e4fa-add5-48a4-9fec-55b908e7e085 · outbound
Topological sum rule for geometric phases of quantum gates Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks
Reference 16
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Observation 4f655782-03e1-40d9-b1a0-0b8b65fc3e1b · outbound
Topological sum rule for geometric phases of quantum gates LLM4WM: Adapting LLM for wireless multi-tasking,
Reference 17
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Observation 94f29169-372b-44d9-b8e7-4319f0547ba0 · outbound
Topological sum rule for geometric phases of quantum gates Large language model enabled multi-task physical layer network,
Reference 18
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Observation 02b4ee4d-865f-41ec-b6ce-b6a58c487558 · outbound
Topological sum rule for geometric phases of quantum gates DeepSense 6G: A large-scale real-world multi-modal sensing and communication dataset,
Reference 19
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Observation 1d3ecb64-79da-4b38-bb2b-9337c612a624 · outbound
Topological sum rule for geometric phases of quantum gates Vision-position multi-modal beam prediction using real millimeter wave datasets,
Reference 20
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Observation 020f901e-8f6c-42f7-96c5-0bc609425c8f · outbound
Topological sum rule for geometric phases of quantum gates Radar aided proactive blockage pre- diction in real-world millimeter wave systems,
Reference 21
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Unavailable: canonical work link unavailable.
Observation 07ef97a6-f4cc-4611-8c75-30729d1c1d6a · outbound
Topological sum rule for geometric phases of quantum gates LiDAR-aided mobile block- age prediction in real-world millimeter wave systems,
Reference 22
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Observation f3ea2d1c-a9e7-487a-9581-b9658224df65 · outbound
Topological sum rule for geometric phases of quantum gates Position aided beam prediction in the real world: How useful GPS locations actually are?
Reference 23
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Observation b639ac9c-ece2-4ef4-8f50-3b5bdb0415d8 · outbound
Topological sum rule for geometric phases of quantum gates Deep learning for mmWave beam and blockage prediction using Sub-6 GHz channels,
Reference 24
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Observation c89ffe41-d66f-4093-b42c-a828d136e271 · outbound
Topological sum rule for geometric phases of quantum gates Sensing- assisted high reliable communication: A transformer-based beamforming approach,
Reference 25
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Observation 827d7d41-96d1-411e-9948-91b88f7dc591 · outbound
Topological sum rule for geometric phases of quantum gates Multimodal deep learning-empowered beam prediction in future THz ISAC systems,
Reference 26
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Observation e96503f4-3dad-42a0-8637-1ad0dcdc89b5 · outbound
Topological sum rule for geometric phases of quantum gates Language models meet world models: Embodied experiences enhance language models,
Reference 27
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Observation 9b835ab7-aecb-49f8-8819-48a2ffbf45bf · outbound
Topological sum rule for geometric phases of quantum gates Large Action Models: From Inception to Implementation
Reference 28
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Observation aea9c5c9-cac4-4a17-a2e1-1568d401ff16 · outbound
Topological sum rule for geometric phases of quantum gates Embodied AI: From LLMs to world models,
Reference 29
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Observation b3e5d9ca-a53a-4f02-aabb-b064f2357066 · outbound
Topological sum rule for geometric phases of quantum gates World Models
Reference 30
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Observation f29cfde3-bd4c-4ec3-b4fc-ef7d6686e04b · outbound
Topological sum rule for geometric phases of quantum gates Recurrent world models facilitate policy evolution,
Reference 31
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Observation 2558a527-f5e7-452b-b3de-d3dca5b6bf30 · outbound
Topological sum rule for geometric phases of quantum gates Self-supervised learning from images with a joint-embedding predictive architecture,
Reference 32
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Observation 399ca9c5-adcc-4e80-ade7-b6099cf86e02 · outbound
Topological sum rule for geometric phases of quantum gates Revisiting Feature Prediction for Learning Visual Representations from Video
Reference 33
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Observation c3bbbd9e-94f2-4f4b-8571-300692b94b8b · outbound
Topological sum rule for geometric phases of quantum gates V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 34
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Observation af7d0ac1-5611-4802-90d0-e3838cae0bba · outbound
Topological sum rule for geometric phases of quantum gates Characterization of randomly time-variant linear channels,
Reference 35
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Observation cd57ae32-a4f0-4075-a316-ad129f7d78f6 · outbound
Topological sum rule for geometric phases of quantum gates Unresolved cited work
Reference 36
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Observation 8825e2a0-7473-480f-8bd7-a73823b80398 · outbound
Topological sum rule for geometric phases of quantum gates Finite-state Markov channel-a useful model for radio communication channels,
Reference 37
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Observation 074870ed-fc1f-4ac2-936b-45a11b4eccfc · outbound
Topological sum rule for geometric phases of quantum gates Reading Radio from Camera: Visually-Grounded, Lightweight, and Interpretable RSSI Prediction
Reference 38
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Observation e59e2380-68fc-4db3-b766-a60723f9aa1e · outbound
Topological sum rule for geometric phases of quantum gates Vision aided channel prediction for vehicular communications: A case study of received power prediction using RGB images,
Reference 39
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Observation fcabcc68-d6fd-4431-b81e-c0b349c8aaf0 · outbound
Topological sum rule for geometric phases of quantum gates ImageNet large scale visual recognition challenge,
Reference 40
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Observation 9af25dcd-c9ae-47ca-a204-2c8b24c83b64 · outbound
Topological sum rule for geometric phases of quantum gates EfficientNet: Rethinking model scaling for convolutional neural networks,
Reference 41
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Observation dd3a0bd3-594f-45d8-a474-fac77f3dca35 · outbound
Topological sum rule for geometric phases of quantum gates RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank,
Reference 42
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Observation 2108639c-beeb-431d-8f02-2ae835e9c5e2 · outbound
Topological sum rule for geometric phases of quantum gates LiDAR: Sensing linear probing performance in joint embedding SSL architectures,
Reference 43
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Observation a4cf2ea8-cb39-497a-aee8-ff441113f596 · outbound
Topological sum rule for geometric phases of quantum gates Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail
Reference 44
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No inbound Pith citation observations are available.