Paper Citation Record · LEDGER

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization

As of 20 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 5 inbound Pith citation observations for arXiv:2504.14100.

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

pith.paper-citation-record.v1
2504.14100 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:59:29.430178Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:29:03.856048Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T16:18:17.066465Z

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy20
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8e395c97-dd68-44e7-9a89-7664861dcc90 · outbound

This paper cites Itu-r recommendation m.2160-0 (version 202311-i),.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Itu-r recommendation m.2160-0 (version 202311-i),

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:29.900104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7bebe704-a16f-457f-93f4-8088eee14c05 · outbound

This paper cites Automatic modulation classification: A deep learning enabled approach,.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Automatic modulation classification: A deep learning enabled approach,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:29.885901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 027f89d3-5819-4131-a086-babd51874e30 · outbound

This paper cites Convolutional radio mod- ulation recognition networks,.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Convolutional radio mod- ulation recognition networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:29.870279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7366c9dd-d614-47cf-8e32-5aaf33e96cbb · outbound

This paper cites Deep learning for beamspace channel esti- mation in millimeter-wave massive mimo systems,.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Deep learning for beamspace channel esti- mation in millimeter-wave massive mimo systems,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:29.853831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7fba6122-4f6e-46e2-837e-2a89b303243d · outbound

This paper cites Waveform learning for next-generation wireless communication systems,.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Waveform learning for next-generation wireless communication systems,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:29.838424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1e40e827-8333-4193-b119-f9b8ec040316 · outbound

This paper cites Self-supervised learning: Generative or contrastive,.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Self-supervised learning: Generative or contrastive,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T11:59:29.325682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f5470fe-b656-48ff-9020-8ce8eab600b9 · outbound

This paper cites Revolutionizing Wireless Networks with Self-Supervised Learning: A Pathway to Intelligent Communications.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Revolutionizing Wireless Networks with Self-Supervised Learning: A Pathway to Intelligent Communications

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:59:29.331588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8bce372-bb69-47d7-aed4-bf4505c94fc1 · outbound

This paper cites Self- Supervised Representation Learning: Introduction, advances, and chal- lenges,.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Self- Supervised Representation Learning: Introduction, advances, and chal- lenges,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:29.811036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8da52c60-570f-4ad4-a243-cc06c7e64523 · outbound

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

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Building 6G Radio Foundation Models with Transformer Architectures

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:59:29.342040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d437c63b-7872-4381-957c-a37d2c840c85 · outbound

This paper cites Big ai models for 6g wireless networks: Opportunities, challenges, and research directions,.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Big ai models for 6g wireless networks: Opportunities, challenges, and research directions,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:29.794769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7a2d6f52-e220-44c7-b339-eadb980345c1 · outbound

This paper cites Large generative ai models for telecom: The next big thing?,.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Large generative ai models for telecom: The next big thing?,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:29.777355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2274c9a9-b83e-4277-8bfb-f4dba0a95847 · outbound

This paper cites Towards a wireless physical- layer foundation model: Challenges and strategies,.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Towards a wireless physical- layer foundation model: Challenges and strategies,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:29.760890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e037564f-a938-4f85-9876-37ac8db471c6 · outbound

This paper cites Wirelessllm: Empowering large language models towards wireless intelligence,.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Wirelessllm: Empowering large language models towards wireless intelligence,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:29.745736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cb2f89e3-902d-4335-b0e4-4fdd62a56dd7 · outbound

This paper cites Large language model enhanced multi-agent systems for 6g communications,.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Large language model enhanced multi-agent systems for 6g communications,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:59:29.366112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d896d946-a2b3-4120-bc12-c472741fcdf0 · outbound

This paper cites Large language model (llm) for telecommunications: A comprehensive survey on principles, key techniques, and opportunities,.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Large language model (llm) for telecommunications: A comprehensive survey on principles, key techniques, and opportunities,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:29.717154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e24824a6-bd8f-46b6-8f8a-2d5d130a912f · outbound

This paper cites Self-supervised radio pre-training: Toward foundational models for spectrogram learning,.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Self-supervised radio pre-training: Toward foundational models for spectrogram learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:29.700162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1a323e50-7f23-478b-ae44-971c5fe9b568 · outbound

This paper cites WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T11:59:29.378563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baada261-52d7-42c9-89ca-f42ac910b154 · outbound

This paper cites A mimo wireless channel foundation model via cir-csi consistency,.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization A mimo wireless channel foundation model via cir-csi consistency,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:29.684197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5a18555d-d63e-4ecb-8196-b51295ded38e · outbound

This paper cites Caution: A robust wifi- based human authentication system via few-shot open-set recognition,.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Caution: A robust wifi- based human authentication system via few-shot open-set recognition,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:29.667669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b3f3dd4b-3a36-42fe-97c0-73a3065a638f · outbound

This paper cites 5g cfr/csi dataset for wireless channel parameter estimation, array calibration, and indoor positioning,.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization 5g cfr/csi dataset for wireless channel parameter estimation, array calibration, and indoor positioning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:29.649621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 09358665-6c16-4729-b33e-6fe19142735f · outbound

This paper cites Efficientfi: Toward large-scale lightweight wifi sensing via csi compression,.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Efficientfi: Toward large-scale lightweight wifi sensing via csi compression,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:29.634109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a1f2bf14-df8e-46ad-9336-d8b063447db7 · outbound

This paper cites Commrad rf: A dataset of communication radio signals for detection, identification and classification.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Commrad rf: A dataset of communication radio signals for detection, identification and classification

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:29.618776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a6ba6eff-5b0d-4514-9f49-3b1f4dcf7bc2 · outbound

This paper cites Toward 5g nr high-precision indoor positioning via channel frequency response: A new paradigm and dataset generation method,.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Toward 5g nr high-precision indoor positioning via channel frequency response: A new paradigm and dataset generation method,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:29.603335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 197575f6-134c-487b-bddc-b2ec42f7f31b · outbound

This paper cites Hoydis, S.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Hoydis, S

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:29.587922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fc844b8b-78f6-4d67-a4b7-3a73e83aba75 · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Masked Autoencoders Are Scalable Vision Learners

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T11:59:29.411164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3dc67fb-c20b-4df9-b49a-2b6260cb464c · outbound

This paper cites Attention is all you need,.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Attention is all you need,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T11:59:29.416131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23e83e6f-40d1-464c-af9f-cace1474dc72 · outbound

This paper cites Layer Normalization.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Layer Normalization

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T11:59:29.420448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4039d8c0-d6d1-463f-b259-2d718667308c · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization LoRA: Low-Rank Adaptation of Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T11:59:29.425358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6db5daed-9531-497d-8c41-2e0481056186 · outbound

This paper cites Channel estimation in cellular massive mimo: A data-driven approach,.

6G WavesFM: A Foundation Model for Sensing, Communication, and Localization Channel estimation in cellular massive mimo: A data-driven approach,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:29.563606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation f89444b2-ca70-4af5-a02c-5c8650bbdde7 · inbound

CSI2Vec: Towards a Universal CSI Feature Representation for Positioning and Channel Charting cites this paper.

CSI2Vec: Towards a Universal CSI Feature Representation for Positioning and Channel Charting 6G WavesFM: A Foundation Model for Sensing, Communication, and Localization

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:27.998626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28be3376-e10a-4f34-9b4d-b7e22d05055f · 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 6G WavesFM: A Foundation Model for Sensing, Communication, and Localization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:56:03.112903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d00a9896-61f1-46aa-94c0-0568f25b3b7c · inbound

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

Towards channel foundation models (CFMs): Motivations, methodologies and opportunities 6G WavesFM: A Foundation Model for Sensing, Communication, and Localization

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:46.981641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5ac9d57-ebc2-44d9-988b-3aa43048cb9a · inbound

EMind: A Foundation Model for Multi-task Electromagnetic Signals Understanding cites this paper.

EMind: A Foundation Model for Multi-task Electromagnetic Signals Understanding 6G WavesFM: A Foundation Model for Sensing, Communication, and Localization

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:18:17.073269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 14e29186-cff2-437b-8e73-8ef53da4a1fa · 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 6G WavesFM: A Foundation Model for Sensing, Communication, and Localization

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T23:29:03.856048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.