Paper Citation Record · LEDGER

Meta-Learning Driven Lightweight Phase Shift Compression for IRS-Assisted Wireless Systems

As of 22 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2505.04453.

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

pith.paper-citation-record.v1
2505.04453 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:31:24.657814Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

16 of 16 outbound references displayed

verified exact1
verified fuzzy15
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c243f83-c6c1-41cc-ad80-0c749436128d · outbound

This paper cites Holistic Network Virtualization and Pervasive Network Intelligence for 6G,.

Meta-Learning Driven Lightweight Phase Shift Compression for IRS-Assisted Wireless Systems Holistic Network Virtualization and Pervasive Network Intelligence for 6G,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:24.924775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dc9915dd-2075-419a-a817-360c64a3e3cf · outbound

This paper cites Breaking the interference and fading gridlock in backscatter communications: State- of-the-art, design challenges, and future directions,.

Meta-Learning Driven Lightweight Phase Shift Compression for IRS-Assisted Wireless Systems Breaking the interference and fading gridlock in backscatter communications: State- of-the-art, design challenges, and future directions,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:24.910804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e53573b2-1190-41b8-b02e-fe94703a73bb · outbound

This paper cites A reassessment on applying protocol interference model under Rayleigh fading: From perspective of link scheduling,.

Meta-Learning Driven Lightweight Phase Shift Compression for IRS-Assisted Wireless Systems A reassessment on applying protocol interference model under Rayleigh fading: From perspective of link scheduling,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:24.895859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5f9dc224-5961-4ede-b9b8-77412cd878f5 · outbound

This paper cites Ergodic Capacity of Intelligent Reflecting Surface-Assisted Communication Systems with Phase Errors,.

Meta-Learning Driven Lightweight Phase Shift Compression for IRS-Assisted Wireless Systems Ergodic Capacity of Intelligent Reflecting Surface-Assisted Communication Systems with Phase Errors,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:24.881338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 71a2896c-f870-4ca0-a584-f864d8c3f0a0 · outbound

This paper cites How many reflecting elements are needed for energy and spectral-efficient intelligent reflecting surface-assisted communication,.

Meta-Learning Driven Lightweight Phase Shift Compression for IRS-Assisted Wireless Systems How many reflecting elements are needed for energy and spectral-efficient intelligent reflecting surface-assisted communication,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:24.867098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1bd367ce-43d7-43c2-a89d-e0aa95a32d25 · outbound

This paper cites Enhancing Spectrum Sensing via Reconfig- urable Intelligent Surfaces: Passive or Active Sensing and How Many Reflecting Elements Are Needed?,.

Meta-Learning Driven Lightweight Phase Shift Compression for IRS-Assisted Wireless Systems Enhancing Spectrum Sensing via Reconfig- urable Intelligent Surfaces: Passive or Active Sensing and How Many Reflecting Elements Are Needed?,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:24.852547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 039e536d-f4cc-4ecb-9f61-4c90e0b63f37 · outbound

This paper cites Exploring Hybrid Active-Passive RIS-Aided MEC Systems: From the Mode-Switching Perspective,.

Meta-Learning Driven Lightweight Phase Shift Compression for IRS-Assisted Wireless Systems Exploring Hybrid Active-Passive RIS-Aided MEC Systems: From the Mode-Switching Perspective,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:24.838149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f94635c6-cc67-4913-a7cb-85de7f29408d · outbound

This paper cites Exploit High-Dimensional RIS Information to Local- ization: What Is the Impact of Faulty Element?,.

Meta-Learning Driven Lightweight Phase Shift Compression for IRS-Assisted Wireless Systems Exploit High-Dimensional RIS Information to Local- ization: What Is the Impact of Faulty Element?,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:24.823615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 778cc91c-4d2e-4fba-b51d-82db074761ab · outbound

This paper cites 3D Localization With a Single Partially-Connected Receiving RIS: Positioning Error Analysis and Algorithmic Design,.

Meta-Learning Driven Lightweight Phase Shift Compression for IRS-Assisted Wireless Systems 3D Localization With a Single Partially-Connected Receiving RIS: Positioning Error Analysis and Algorithmic Design,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:24.808528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2e3755b8-9018-4460-9f6f-e0d2a57e3dab · outbound

This paper cites The impact of application signaling traffic on public land mobile networks,.

Meta-Learning Driven Lightweight Phase Shift Compression for IRS-Assisted Wireless Systems The impact of application signaling traffic on public land mobile networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:24.794025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0028be32-a8f9-454a-a622-9b2cc7399d63 · outbound

This paper cites eDirect: Energy-efficient D2D-assisted relaying framework for cellular signaling reduction,.

Meta-Learning Driven Lightweight Phase Shift Compression for IRS-Assisted Wireless Systems eDirect: Energy-efficient D2D-assisted relaying framework for cellular signaling reduction,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:24.778346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b9bd0329-febf-453f-8b7a-a7d468aedf1c · outbound

This paper cites 5G new radio: Unveiling the essentials of the next generation wireless access technology,.

Meta-Learning Driven Lightweight Phase Shift Compression for IRS-Assisted Wireless Systems 5G new radio: Unveiling the essentials of the next generation wireless access technology,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:24.762462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 309f9766-01d5-4ef6-ae96-384a8e7e0a37 · outbound

This paper cites Phase Shift Compression for Control Signaling Reduc- tion in IRS-Aided Wireless Systems: Global Attention and Lightweight Design,.

Meta-Learning Driven Lightweight Phase Shift Compression for IRS-Assisted Wireless Systems Phase Shift Compression for Control Signaling Reduc- tion in IRS-Aided Wireless Systems: Global Attention and Lightweight Design,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:24.746766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation db37a0f0-e714-41bf-b4e5-dcd856d1463b · outbound

This paper cites Convolutional Autoencoder-Based Phase Shift Feedback Compression for Intelligent Reflecting Surface- Assisted Wireless Systems,.

Meta-Learning Driven Lightweight Phase Shift Compression for IRS-Assisted Wireless Systems Convolutional Autoencoder-Based Phase Shift Feedback Compression for Intelligent Reflecting Surface- Assisted Wireless Systems,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:24.731099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 662e8459-69f0-46be-b510-c92e51ffc9f2 · outbound

This paper cites Deep Learning- Based Adaptive Phase Shift Compression and Feedback in IRS-Assisted Communication Systems,.

Meta-Learning Driven Lightweight Phase Shift Compression for IRS-Assisted Wireless Systems Deep Learning- Based Adaptive Phase Shift Compression and Feedback in IRS-Assisted Communication Systems,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:31:24.715160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 83dfe928-0620-4a61-b7aa-5e7d66245a97 · outbound

This paper cites mmWave RIS Phase Shift Feedback Based on Knowledge Base Autoencoder Framework.

Meta-Learning Driven Lightweight Phase Shift Compression for IRS-Assisted Wireless Systems mmWave RIS Phase Shift Feedback Based on Knowledge Base Autoencoder Framework

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-15T23:31:24.699751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.