Paper Citation Record · LEDGER

WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication

As of 10 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 5 inbound Pith citation observations for arXiv:2502.06877.

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

pith.paper-citation-record.v1
2502.06877 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:56:47.031768Z

measured 21 of 21 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:29:03.896033Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

16 of 16 outbound references displayed

verified exact0
verified fuzzy9
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

Observation 6f52fa0e-72c7-4d2b-a589-98707a1f93ef · outbound

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

WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T18:56:46.984260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 643a9bc9-af7b-4a75-8160-01a06980d7fa · outbound

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

WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication LLM4CP: Adapting large language models for channel prediction,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:56:47.179059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 84d05f6b-0b5f-4a19-b95b-2e099146373b · outbound

This paper cites Radio foundation models: Pre-training Transformers for 5G-based indoor localization,.

WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication Radio foundation models: Pre-training Transformers for 5G-based indoor localization,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:56:47.170251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5f7ce621-c185-4e19-ad2f-12da7d400444 · outbound

This paper cites ChannelGPT: A Large Model to Generate Digital Twin Channel for 6G Environment Intelligence.

WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication ChannelGPT: A Large Model to Generate Digital Twin Channel for 6G Environment Intelligence

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T18:56:46.995081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de49a0c5-238f-4b87-b747-4fd3379084eb · outbound

This paper cites Accurate channel prediction based on Transformer: Making mobility negligible,.

WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication Accurate channel prediction based on Transformer: Making mobility negligible,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:56:47.161806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6f100d7d-b027-40fa-848f-eb3a20a8a537 · outbound

This paper cites CSI-GPT: Integrating Generative Pre-Trained Transformer with Federated-Tuning to Acquire Downlink Massive MIMO Channels.

WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication CSI-GPT: Integrating Generative Pre-Trained Transformer with Federated-Tuning to Acquire Downlink Massive MIMO Channels

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T18:56:47.001598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8da95653-0ed1-43ec-a866-30ed4d0ae097 · outbound

This paper cites 6G-oriented CSI-based multi-modal pre- training and downstream task adaptation paradigm,.

WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication 6G-oriented CSI-based multi-modal pre- training and downstream task adaptation paradigm,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:56:47.153234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3e0898e7-682e-4906-b358-dd7bbb549e4b · outbound

This paper cites Integrating pre-trained language model with physical layer communications,.

WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication Integrating pre-trained language model with physical layer communications,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:56:47.144547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7a2a55d3-658d-453e-8b70-85cd189e3b4f · outbound

This paper cites Building 6G Radio Foundation Models with Transformer Architectures.

WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication Building 6G Radio Foundation Models with Transformer Architectures

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T18:56:47.010616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8506a30-4748-415a-99da-1f93f4f1dfc2 · outbound

This paper cites Multimodal Transformers for Wireless Communications: A Case Study in Beam Prediction.

WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication Multimodal Transformers for Wireless Communications: A Case Study in Beam Prediction

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T18:56:47.013689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca8bd4cb-dc5b-4fe4-b7d7-1421a2909382 · outbound

This paper cites Transformer masked autoencoders for next-generation wireless communications: Ar- chitecture and opportunities,.

WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication Transformer masked autoencoders for next-generation wireless communications: Ar- chitecture and opportunities,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:56:47.135708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 12ff2bfe-ae07-46a3-b65f-d8d6a93293ab · outbound

This paper cites Sionna: An open-source library for next-generation physical layer research,.

WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication Sionna: An open-source library for next-generation physical layer research,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T18:56:47.019712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b92c60f7-fd24-4aba-a9ad-3eba9f744f6e · outbound

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

WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T18:56:47.022463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e5d93ed-bbda-424e-8026-faa5cc8103a3 · outbound

This paper cites Kyösti, J.

WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication Kyösti, J

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:56:47.122650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c1c07639-0121-494a-8efc-2866c7831d8b · outbound

This paper cites Study on channel model for frequencies from 0.5 to 100 ghz (release 15),.

WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication Study on channel model for frequencies from 0.5 to 100 ghz (release 15),

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:56:47.113641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3e683a0c-5c08-486c-b1e7-6fb255ce7a64 · outbound

This paper cites EfficientFi: Toward large-scale lightweight wifi sensing via CSI compression,.

WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication EfficientFi: Toward large-scale lightweight wifi sensing via CSI compression,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:56:47.104025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation b624c8f1-f9e1-47e3-ad4a-4c06892ae5d8 · inbound

IQFM A Wireless Foundational Model for I/Q Streams in AI-Native 6G cites this paper.

IQFM A Wireless Foundational Model for I/Q Streams in AI-Native 6G WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:56:03.108601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 075b1e7b-eb9c-426d-a888-a4f228ff005f · inbound

Towards channel foundation models (CFMs): Motivations, methodologies and opportunities cites this paper.

Towards channel foundation models (CFMs): Motivations, methodologies and opportunities WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:46.717191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fd471b5-94e9-4ed8-a492-90d288e3761f · inbound

Robust Model Reconstruction Based on the Topological Understanding of Point Clouds Using Persistent Homology cites this paper.

Robust Model Reconstruction Based on the Topological Understanding of Point Clouds Using Persistent Homology WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-06T10:19:14.959476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 89d1d864-5436-4479-bb74-b55d4496fd01 · inbound

Modular PE-Structured Learning for Cross-Task Wireless Communications cites this paper.

Modular PE-Structured Learning for Cross-Task Wireless Communications WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T20:27:46.523883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 003a417f-ad6f-47d2-ae06-1d26ecdd67e3 · inbound

Radio-FM: A Foundation Model for Radio Signal Representation Learning and Its Applications cites this paper.

Radio-FM: A Foundation Model for Radio Signal Representation Learning and Its Applications WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T23:29:03.896033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.