Paper Citation Record · LEDGER

Building 6G Radio Foundation Models with Transformer Architectures

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.09996.

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

pith.paper-citation-record.v1
2411.09996 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:29:03.850180Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:24:49.831314Z

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 a917e72e-8a77-4bee-be3d-c862106feec8 · 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 Building 6G Radio Foundation Models with Transformer Architectures

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T05:56:03.157952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dadf8b1-e667-4fa4-a3a9-f0abf68dc1b9 · inbound

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration cites this paper.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Building 6G Radio Foundation Models with Transformer Architectures

Reference 108

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:55.822461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b145391-bfc5-41b3-a39f-d07a38c2c3ee · inbound

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

Towards channel foundation models (CFMs): Motivations, methodologies and opportunities Building 6G Radio Foundation Models with Transformer Architectures

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:24:49.834562Z

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.

Observation 5bb132ac-fe50-4081-abc5-0a169463cace · 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 Building 6G Radio Foundation Models with Transformer Architectures

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T23:29:03.850180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.