Paper Citation Record · LEDGER

Hierarchical Wireless Foundation Model for Multi-Task Optimization

As of 9 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2607.16877.

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

pith.paper-citation-record.v1
2607.16877 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T19:45:32.576672Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

38 of 38 outbound references displayed

verified exact0
verified fuzzy0
unresolved38
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 02feeecc-781e-4095-814c-d36c4d52cb42 · outbound

This paper cites A vision of 6G wireless systems: Applications, trends, technologies, and open research problems,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization A vision of 6G wireless systems: Applications, trends, technologies, and open research problems,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:28.852944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ed34332-f1ad-4a28-9a14-e2050125d73c · outbound

This paper cites Deep learning for wireless communications: An emerging interdisciplinary paradigm,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization Deep learning for wireless communications: An emerging interdisciplinary paradigm,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:28.933852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c30b406-213e-4ad7-b7f9-181e59dadcea · outbound

This paper cites Power of deep learning for channel estimation and signal detection in OFDM systems,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization Power of deep learning for channel estimation and signal detection in OFDM systems,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:29.052961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48fe8a9e-d97e-4021-a168-ff68fb944b4a · outbound

This paper cites Deep learning in physical layer communications,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization Deep learning in physical layer communications,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:29.138478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b240d3b5-7886-4a81-ad3c-d9283a5c1303 · outbound

This paper cites Learn to adapt to new environments from past experience and few pilot blocks,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization Learn to adapt to new environments from past experience and few pilot blocks,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:29.278168Z

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Unavailable: canonical work link unavailable.

Observation 0f8f2d13-3919-43b8-8dc3-113da1127b05 · outbound

This paper cites Transfer learning for signal detection in wireless networks,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization Transfer learning for signal detection in wireless networks,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:29.416358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a12b96ee-c20f-4975-8bbb-9626fe4f5a55 · outbound

This paper cites Frameworks on few-shot learning with applications in wireless communication,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization Frameworks on few-shot learning with applications in wireless communication,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:29.498417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b644d5e9-bc75-44f4-af7a-32487b75f79a · outbound

This paper cites Fast adaptation for deep learning-based wireless communications,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization Fast adaptation for deep learning-based wireless communications,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:29.632706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bea2056b-2c63-49db-858d-db6efaccc09b · outbound

This paper cites Large language models for wireless communications: From adaptation to autonomy,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization Large language models for wireless communications: From adaptation to autonomy,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:29.716506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 885d6213-1b56-40db-9d3c-51c75af9c7f3 · outbound

This paper cites Large AI models for wireless physical layer,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization Large AI models for wireless physical layer,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:29.817835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce69ba57-bc98-4f1c-89d8-97633325d9db · outbound

This paper cites Beam prediction based on large language models,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization Beam prediction based on large language models,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:29.903517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae417114-b698-45ea-96c2-604272180bf9 · outbound

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

Hierarchical Wireless Foundation Model for Multi-Task Optimization LLM4CP: Adapting large language models for channel prediction,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:29.978064Z

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Unavailable: canonical work link unavailable.

Observation 0719c151-629c-4f3d-bbda-3ffdaa4846d3 · outbound

This paper cites Large language model enabled multi-task physical layer network,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization Large language model enabled multi-task physical layer network,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:30.071731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b02da441-afe8-4e83-9999-15505614851c · outbound

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

Hierarchical Wireless Foundation Model for Multi-Task Optimization MUSE-FM: Multi-task environment-aware foundation model for wireless communications,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:30.157770Z

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Unavailable: canonical work link unavailable.

Observation c8e237e8-607b-47fa-a3ba-e59d26cc03cb · outbound

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

Hierarchical Wireless Foundation Model for Multi-Task Optimization WiFo: Wireless foundation model for channel prediction,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:30.267703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54da6455-d2df-470d-87ae-9059723605cf · outbound

This paper cites WiFo-CF: Wireless Foundation Model for CSI Feedback.

Hierarchical Wireless Foundation Model for Multi-Task Optimization WiFo-CF: Wireless Foundation Model for CSI Feedback

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:30.356234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6de4fb72-7218-4293-a4bc-438a48a943c1 · outbound

This paper cites A Wireless Foundation Model for Multi-Task Prediction.

Hierarchical Wireless Foundation Model for Multi-Task Optimization A Wireless Foundation Model for Multi-Task Prediction

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:30.462042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f86b53bf-272d-41cc-b4e7-9be7e3e63955 · outbound

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

Hierarchical Wireless Foundation Model for Multi-Task Optimization Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:30.547399Z

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Observation 3ffa4d89-00a2-4041-9cd2-e579b4429305 · outbound

This paper cites WirelessGPT: A generative pre-trained multi-task learning framework for wireless communication,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization WirelessGPT: A generative pre-trained multi-task learning framework for wireless communication,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:30.711574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5069d2d7-9362-4237-b405-8ac714da05d1 · outbound

This paper cites Signal compression for wireless communication and sensing: A general ap- proach utilizing pretrained wireless foundation models,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization Signal compression for wireless communication and sensing: A general ap- proach utilizing pretrained wireless foundation models,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:30.779383Z

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Observation d32fcb00-2391-4839-a78d-04dd02b963c1 · outbound

This paper cites An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:30.861066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3879d608-1c24-43de-a0b6-0b43ae5cda0f · outbound

This paper cites On the optimality of multiantenna broad- cast scheduling using zero-forcing beamforming,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization On the optimality of multiantenna broad- cast scheduling using zero-forcing beamforming,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:30.971919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10f4be83-0875-454d-a5ea-591142563d41 · outbound

This paper cites On channel estimation in OFDM systems,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization On channel estimation in OFDM systems,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:31.107922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49b269ff-5445-4ef0-b1a6-c6731140042c · outbound

This paper cites Channel estimation and hybrid precoding for millimeter wave cellular systems,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization Channel estimation and hybrid precoding for millimeter wave cellular systems,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:31.282943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a406597-78fa-46cf-bd2a-95a0f65e85dc · outbound

This paper cites A deep learning framework for optimization of MISO downlink beam- forming,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization A deep learning framework for optimization of MISO downlink beam- forming,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:31.369390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0864810-2156-4710-af6a-c84b1530d0d5 · outbound

This paper cites Masked autoencoders are scalable vision learners,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization Masked autoencoders are scalable vision learners,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:31.426375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 918bcdb6-ebec-47ac-aa0d-2572ef953f30 · outbound

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

Hierarchical Wireless Foundation Model for Multi-Task Optimization An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:31.548142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e4855e9-9ded-401c-b322-596f0b6ca96c · outbound

This paper cites BEiT: BERT pre-training of image Transformers,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization BEiT: BERT pre-training of image Transformers,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:31.658862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6269643e-802e-4f60-bb92-f7097511326f · outbound

This paper cites RoFormer: En- hanced Transformer with rotary position embedding,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization RoFormer: En- hanced Transformer with rotary position embedding,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:31.741277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 727d703a-e9de-4ab9-a8bf-ddf1ff674fb7 · outbound

This paper cites Attention is all you need,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization Attention is all you need,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:31.811229Z

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Observation ce239ab8-ed7d-4265-8399-115df750c743 · outbound

This paper cites Extending Context Window of Large Language Models via Positional Interpolation.

Hierarchical Wireless Foundation Model for Multi-Task Optimization Extending Context Window of Large Language Models via Positional Interpolation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:31.985388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31311bdc-ffa2-4a26-887d-f681de9413c1 · outbound

This paper cites Optimal multiuser trans- mit beamforming: A difficult problem with a simple solution structure,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization Optimal multiuser trans- mit beamforming: A difficult problem with a simple solution structure,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:32.072853Z

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Unavailable: canonical work link unavailable.

Observation cc1fcea1-9ead-4304-a964-b347d6c13310 · outbound

This paper cites Fourier features let networks learn high frequency functions in low dimensional domains,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization Fourier features let networks learn high frequency functions in low dimensional domains,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:32.172087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e89dab9-2a69-4526-a4c2-4754fc617ad6 · outbound

This paper cites Categorical reparameterization with Gumbel-Softmax,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization Categorical reparameterization with Gumbel-Softmax,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:32.255760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a46650eb-5069-4334-9829-72dd552cd749 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Hierarchical Wireless Foundation Model for Multi-Task Optimization Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:32.344452Z

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Unavailable: canonical work link unavailable.

Observation 092f167a-5d6d-48ed-a9a3-6368059d81ec · outbound

This paper cites Rethinking the inception architecture for computer vision,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization Rethinking the inception architecture for computer vision,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:32.437279Z

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Unavailable: canonical work link unavailable.

Observation 99235dfa-747e-4c09-8b65-686c9cfe7620 · outbound

This paper cites The Hungarian method for the assignment problem,.

Hierarchical Wireless Foundation Model for Multi-Task Optimization The Hungarian method for the assignment problem,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:32.519646Z

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Unavailable: canonical work link unavailable.

Observation 4a046c9e-45c5-40ab-a083-db7b1dc2d015 · outbound

This paper cites DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications.

Hierarchical Wireless Foundation Model for Multi-Task Optimization DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T19:45:32.576672Z

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Pith citing papers

No inbound Pith citation observations are available.