Paper Citation Record · LEDGER

Mamba for Wireless Communications and Networking: Principles and Opportunities

As of 22 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2508.00403.

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

pith.paper-citation-record.v1
2508.00403 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:13:08.745971Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

15 of 15 outbound references displayed

verified exact1
verified fuzzy10
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aff14417-80fe-45e9-abef-f5481cc8052d · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

Mamba for Wireless Communications and Networking: Principles and Opportunities Efficiently Modeling Long Sequences with Structured State Spaces

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T10:13:08.696099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca6f2b40-5a71-4855-ac0d-b7620611473a · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Mamba for Wireless Communications and Networking: Principles and Opportunities Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T10:13:08.700092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a1137e9-f6fe-4198-b531-bfaf6ae959e2 · outbound

This paper cites Energy efficiency maximization in RIS-assisted SWIPT networks with rsma: A PPO-based approach,.

Mamba for Wireless Communications and Networking: Principles and Opportunities Energy efficiency maximization in RIS-assisted SWIPT networks with rsma: A PPO-based approach,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:13:08.918940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d68c5c03-5cd9-46c3-8e5f-956e63f33f9b · outbound

This paper cites PRINCE: A pruned AMP integrated deep CNN method for efficient channel estimation of millimeter-wave and terahertz ultra-massive MIMO systems,.

Mamba for Wireless Communications and Networking: Principles and Opportunities PRINCE: A pruned AMP integrated deep CNN method for efficient channel estimation of millimeter-wave and terahertz ultra-massive MIMO systems,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:13:08.909705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 196868f3-83ca-4062-a213-d051088fc8ab · outbound

This paper cites Towards xAI: Configuring RNN weights using domain knowledge for MIMO receive processing,.

Mamba for Wireless Communications and Networking: Principles and Opportunities Towards xAI: Configuring RNN weights using domain knowledge for MIMO receive processing,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:13:08.900166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0cec90e1-c796-46bb-a1c5-6aa15e429c1f · outbound

This paper cites Model-based GNN en- abled energy-efficient beamforming for ultra-dense wireless networks,.

Mamba for Wireless Communications and Networking: Principles and Opportunities Model-based GNN en- abled energy-efficient beamforming for ultra-dense wireless networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:13:08.890329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b595669a-59ce-48d1-b744-17cb1223e0ab · outbound

This paper cites DeepSIG: A hybrid heterogeneous deep learning framework for radio signal classification,.

Mamba for Wireless Communications and Networking: Principles and Opportunities DeepSIG: A hybrid heterogeneous deep learning framework for radio signal classification,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:13:08.880275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1df5feb5-afeb-41b1-a662-66b1dec92149 · outbound

This paper cites NMformer: A Transformer for noisy modulation classification in wire- less communication,.

Mamba for Wireless Communications and Networking: Principles and Opportunities NMformer: A Transformer for noisy modulation classification in wire- less communication,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:13:08.869082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a1d301b0-b6b3-42d8-8c7f-a18fd4e038b8 · outbound

This paper cites Deep learning- enabled semantic communication systems with task-unaware transmitter and dynamic data,.

Mamba for Wireless Communications and Networking: Principles and Opportunities Deep learning- enabled semantic communication systems with task-unaware transmitter and dynamic data,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:13:08.859358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e6b282bd-14a6-472c-8589-1e501e355250 · outbound

This paper cites Hyena Hierarchy: Towards Larger Convolutional Language Models.

Mamba for Wireless Communications and Networking: Principles and Opportunities Hyena Hierarchy: Towards Larger Convolutional Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T10:13:08.727898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cffbedca-0708-4d32-8924-995fdc3f7a77 · outbound

This paper cites scMamba: A Pre-Trained Model for Single-Nucleus RNA Sequencing Analysis in Neurodegenerative Disorders.

Mamba for Wireless Communications and Networking: Principles and Opportunities scMamba: A Pre-Trained Model for Single-Nucleus RNA Sequencing Analysis in Neurodegenerative Disorders

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-06T10:13:08.790513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 36afe166-3d69-4ff0-a108-45d3130a43a5 · outbound

This paper cites Generative AI agents with large language model for satellite networks via a mixture of experts transmission,.

Mamba for Wireless Communications and Networking: Principles and Opportunities Generative AI agents with large language model for satellite networks via a mixture of experts transmission,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:13:08.849731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6465e341-8465-4f17-bb86-ae5ea3560b26 · outbound

This paper cites A Survey of Mamba.

Mamba for Wireless Communications and Networking: Principles and Opportunities A Survey of Mamba

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T10:13:08.739074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85ed4063-40c5-45d0-8c4f-bb0cbc430d9a · outbound

This paper cites Frequency-enhanced lightweight vision Mamba network for medical image segmentation,.

Mamba for Wireless Communications and Networking: Principles and Opportunities Frequency-enhanced lightweight vision Mamba network for medical image segmentation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:13:08.839469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e6bcf4ce-59b6-477d-97c3-286f7ee1e71b · outbound

This paper cites Decentralized scheduling for concurrent tasks in mobile edge computing via deep reinforcement learning,.

Mamba for Wireless Communications and Networking: Principles and Opportunities Decentralized scheduling for concurrent tasks in mobile edge computing via deep reinforcement learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:13:08.828850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.