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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 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 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T12:16:18.182151Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

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.

source=pdf_text observed=2026-08-07T05:56:03.108601Z digest=sha256:c1c5cd22772d31538fb4d478163d71f945c101d3b93ab63134b136473c699719

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.

source=pdf_text observed=2026-08-06T16:24:46.717191Z digest=sha256:be4d91d63350499bb8097c3cc45feb07e19c1894961f11cddfa294d938570de1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:19:11.968622Z digest=sha256:73e468883308628913c3023f641a6615a17c841b1095fd82c69648923e2faf4d

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.

source=pdf_text observed=2026-08-04T20:27:46.523883Z digest=sha256:372a5e41cd7ec449732d249138b611d71ad27c7bbca63829cf41357c5410b31c

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.

source=pdf_text observed=2026-08-07T23:29:03.896033Z digest=sha256:72d414bdc9247f9bb399e4d7137e19f8506213c47e2ae43a1ac8821b94fa4a5a