Paper Citation Record · LEDGER

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks

As of 19 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 15 inbound Pith citation observations for arXiv:2505.10134.

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

pith.paper-citation-record.v1
2505.10134 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:20:15.162791Z

measured 59 of 59 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:36:19.117104Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:30:08.570571Z

Reference resolution

44 of 44 outbound references displayed

verified exact1
verified fuzzy36
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 740d78b7-d3eb-4f9c-b029-0ab89eb11f7f · outbound

This paper cites 6G positioning and sensing through the lens of sustainability, inclusiveness, and trustworthiness,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks 6G positioning and sensing through the lens of sustainability, inclusiveness, and trustworthiness,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.683980Z

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 af361f7b-5606-4236-bc40-dfbed1e65562 · outbound

This paper cites A tutorial on 5G positioning,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks A tutorial on 5G positioning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.673280Z

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 2442097e-6356-445e-acc0-bb80ef997bb3 · outbound

This paper cites Location-aware communications for 5G networks: How location information can improve scalability, latency, and robustness of 5G,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks Location-aware communications for 5G networks: How location information can improve scalability, latency, and robustness of 5G,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.661854Z

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 6f9d4142-3518-4a44-b68d-7b329f81a05c · outbound

This paper cites Integrated localization and communication for efficient millimeter wave networks,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks Integrated localization and communication for efficient millimeter wave networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.650181Z

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 3546c734-a7c9-4d90-8a5a-f9b4977325e3 · outbound

This paper cites Location-dependent performance analysis for RIS-aided or interference mitigation assisted large-scale networks,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks Location-dependent performance analysis for RIS-aided or interference mitigation assisted large-scale networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.637802Z

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 e81cc5ac-9d82-4fd2-bcfd-2e640f438dcf · outbound

This paper cites A tutorial on terahertz-band localization for 6G communication systems,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks A tutorial on terahertz-band localization for 6G communication systems,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.625746Z

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 d31b7d35-2f3d-40cf-bb35-131587b66ff2 · outbound

This paper cites MIMO-OFDM joint radar- communications: Is ICI friend or foe?.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks MIMO-OFDM joint radar- communications: Is ICI friend or foe?

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.613909Z

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 f7cea9ee-5c42-464d-addb-1287939b5825 · outbound

This paper cites AI-driven Wireless Positioning: Fundamentals, Standards, State-of-the-art, and Challenges.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks AI-driven Wireless Positioning: Fundamentals, Standards, State-of-the-art, and Challenges

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:20:15.267107Z

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 447237fd-7ed2-4d91-841b-3e219f0adfdc · outbound

This paper cites MetaLoc: Learning to learn wireless localization,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks MetaLoc: Learning to learn wireless localization,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.602104Z

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 8dbb1513-3f34-4d74-89ab-db3eb4e1f353 · outbound

This paper cites Learning to localize: A 3D CNN approach to user positioning in massive MIMO-OFDM systems,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks Learning to localize: A 3D CNN approach to user positioning in massive MIMO-OFDM systems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.591238Z

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 fb2c342c-d85b-4508-af60-987c64bd224b · outbound

This paper cites High accurate time-of-arrival estimation with fine-grained feature generation for internet-of-things applications,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks High accurate time-of-arrival estimation with fine-grained feature generation for internet-of-things applications,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.579846Z

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 eaf28295-58dd-4f2f-96ed-d7cada12fd41 · outbound

This paper cites Deep learning-based multi-user positioning in wireless FDMA cellular networks,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks Deep learning-based multi-user positioning in wireless FDMA cellular networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.568276Z

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 090d566a-20a1-44fb-b5a1-d0692b9191c9 · outbound

This paper cites Robust NLoS localization in 5G mmwave networks: Data-based methods and performance,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks Robust NLoS localization in 5G mmwave networks: Data-based methods and performance,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.555788Z

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 8737d624-efaf-41b8-9715-41d55ce1d221 · outbound

This paper cites A transformer-based signal denoising network for AoA estimation in NLoS environments,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks A transformer-based signal denoising network for AoA estimation in NLoS environments,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T21:20:15.052310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14983631-6e9f-4f2a-994d-340b018f7306 · outbound

This paper cites Deep learning based fingerprint positioning for multi-cell massive MIMO-OFDM systems,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks Deep learning based fingerprint positioning for multi-cell massive MIMO-OFDM systems,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.538294Z

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 ae3af8ee-8f6c-4782-9f39-56b1aff64fbb · outbound

This paper cites LoT: A transformer-based approach based on channel state information for indoor localization,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks LoT: A transformer-based approach based on channel state information for indoor localization,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.527982Z

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 515b8aa6-34ff-4543-a67f-eb958b89de01 · outbound

This paper cites Swin-loc: Transformer-based CSI fingerprinting indoor localization with MIMO ISAC system,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks Swin-loc: Transformer-based CSI fingerprinting indoor localization with MIMO ISAC system,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.517748Z

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 042adbf3-41b8-42ef-bfe2-e7f721bf7138 · outbound

This paper cites iPos-5G: Indoor positioning via commercial 5G NR CSI,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks iPos-5G: Indoor positioning via commercial 5G NR CSI,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.506585Z

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 e3c9fef0-e85f-4386-a469-7edb8282add6 · outbound

This paper cites Fidora: Robust WiFi-based indoor localization via unsupervised domain adaptation,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks Fidora: Robust WiFi-based indoor localization via unsupervised domain adaptation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.496250Z

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 459a8d7c-d587-4fbe-aa7d-0ba258f34094 · outbound

This paper cites Enhancing indoor localization with semi- crowdsourced fingerprinting and GAN-based data augmentation,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks Enhancing indoor localization with semi- crowdsourced fingerprinting and GAN-based data augmentation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.485642Z

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 b40e0b16-7f21-48c5-8734-0d75c9822792 · outbound

This paper cites Transloc: A heterogeneous knowledge transfer framework for fingerprint-based indoor localization,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks Transloc: A heterogeneous knowledge transfer framework for fingerprint-based indoor localization,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.474503Z

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 17c84b36-a336-4022-abff-aa70016b24fd · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks On the Opportunities and Risks of Foundation Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T21:20:15.080114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fad52303-4305-449f-b7b4-61aa566bbce8 · outbound

This paper cites A survey on self-supervised learning: Algorithms, applications, and future trends,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks A survey on self-supervised learning: Algorithms, applications, and future trends,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.464082Z

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 64d5950d-d9ae-441b-9b4e-9ff8eb3c9fbb · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.454285Z

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 b5e37f51-048d-4a46-9351-628de1aa0716 · outbound

This paper cites Language models are few-shot learners,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks Language models are few-shot learners,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.444093Z

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 3ccd79d5-534b-43f5-98db-72bdfa6a0450 · outbound

This paper cites SpectralGPT: Spectral remote sensing foundation model,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks SpectralGPT: Spectral remote sensing foundation model,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.433447Z

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 a8db5878-1d28-4e1d-8091-349567cc5578 · outbound

This paper cites Towards artificial general intelligence via a multimodal foundation model,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks Towards artificial general intelligence via a multimodal foundation model,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.423324Z

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 7d06ceda-7759-43a7-8ab2-8e519dc7772e · outbound

This paper cites Foundation model-based multimodal remote sensing data classification,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks Foundation model-based multimodal remote sensing data classification,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.412159Z

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 95dd5221-9a3d-41bf-ada0-169d3d813195 · outbound

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

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T21:20:15.106297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 467d655b-f10f-41fb-ac53-cd838440b444 · outbound

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

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T21:20:15.110200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a70e64c3-98d6-4f72-8fce-a8947129b91d · outbound

This paper cites WiFo: Wireless Foundation Model for Channel Prediction.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks WiFo: Wireless Foundation Model for Channel Prediction

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T21:20:15.114188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f059d208-ef14-4cb0-83f5-c62088a602a3 · outbound

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

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks LLM4CP: Adapting large language models for channel prediction,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.401080Z

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 7fbca21a-ba3c-44db-93dd-2180b9f884ca · outbound

This paper cites LLM4WM: Adapting LLM for Wireless Multi-Tasking.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks LLM4WM: Adapting LLM for Wireless Multi-Tasking

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T21:20:15.121712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c223e6d4-79ae-4f20-89e7-2264ce9e8f61 · outbound

This paper cites Self-supervised and invariant representations for wireless localization,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks Self-supervised and invariant representations for wireless localization,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.390600Z

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 0e003c84-08e7-494b-b8c2-31f27db428df · outbound

This paper cites Angle-delay profile-based and timestamp- aided dissimilarity metrics for channel charting,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks Angle-delay profile-based and timestamp- aided dissimilarity metrics for channel charting,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.379525Z

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 33a4e39f-9326-4fb3-adc6-4e4695df9df0 · outbound

This paper cites CrowdBERT: Crowdsourcing indoor positioning via semi-supervised BERT with masking,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks CrowdBERT: Crowdsourcing indoor positioning via semi-supervised BERT with masking,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.368011Z

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 3884a054-2330-4ff9-9c0c-008fcfaf8ee5 · outbound

This paper cites Signal-guided masked autoencoder for wireless positioning with limited labeled samples,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks Signal-guided masked autoencoder for wireless positioning with limited labeled samples,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.357095Z

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 16cdd30a-6e27-46bd-8ce3-a2926c5716b0 · outbound

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

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks Radio foundation models: Pre-training transform- ers for 5G-based indoor localization,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.345083Z

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 9adfef25-ef56-4a06-941e-bff93f823cc9 · outbound

This paper cites A survey on information bottleneck,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks A survey on information bottleneck,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.332549Z

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 01e7e202-320d-4d66-9891-aa0b67e3a3d4 · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks A simple framework for contrastive learning of visual representations,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.320238Z

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 c0b39947-2d2b-4173-a2e4-76a86ebc10f1 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks Representation Learning with Contrastive Predictive Coding

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T21:20:15.151563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3c42a9a-248a-4fea-b73a-61c9493bd712 · outbound

This paper cites Tokens-to-token vit: Training vision transform- ers from scratch on imagenet,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks Tokens-to-token vit: Training vision transform- ers from scratch on imagenet,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.307832Z

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 4fe90b1a-e692-4ade-8db7-627e752fa993 · outbound

This paper cites Attention is all you need,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks Attention is all you need,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.293723Z

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 72fd8aa6-4096-4326-b79b-ef4f2fb34840 · outbound

This paper cites DeepMIMO: A generic deep learning dataset for mil- limeter wave and massive MIMO applications,.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks DeepMIMO: A generic deep learning dataset for mil- limeter wave and massive MIMO applications,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:20:15.280187Z

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 9bc24121-6c4b-4ce3-be81-cf2cec80df94 · inbound

AI-driven Wireless Positioning: Fundamentals, Standards, State-of-the-art, and Challenges cites this paper.

AI-driven Wireless Positioning: Fundamentals, Standards, State-of-the-art, and Challenges Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks

Reference 201

Resolution: unresolved; no resolver link, observed 2026-08-10T14:48:20.531032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afc10066-622e-443c-98e2-3a4e603f908b · inbound

WiFo-2: a generalist foundation model unifies heterogeneous wireless system design cites this paper.

WiFo-2: a generalist foundation model unifies heterogeneous wireless system design Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T05:19:04.911108Z

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 247cbcb5-8d36-459d-a969-229f929d9f73 · inbound

WiFo-2: a generalist foundation model unifies heterogeneous wireless system design cites this paper.

WiFo-2: a generalist foundation model unifies heterogeneous wireless system design Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T19:53:42.168513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a2d3225-13d6-47da-b7f8-a7a88aa61fbe · inbound

WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model cites this paper.

WiFo-M$^2$: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T10:44:48.449698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfb1e4fa-add5-48a4-9fec-55b908e7e085 · inbound

Topological sum rule for geometric phases of quantum gates cites this paper.

Topological sum rule for geometric phases of quantum gates Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-13T15:33:59.448352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2db0a54b-f58a-4e0b-a8cc-1ba69414fe75 · inbound

AirFM-DDA: Air-Interface Foundation Model in the Delay-Doppler-Angle Domain for AI-Native 6G cites this paper.

AirFM-DDA: Air-Interface Foundation Model in the Delay-Doppler-Angle Domain for AI-Native 6G Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:01:49.048011Z

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 b5fad246-2dd3-4be9-b9f1-386f6636bcf2 · inbound

PilotWiMAE: Pilot-Native Representation Learning for Wireless Channels cites this paper.

PilotWiMAE: Pilot-Native Representation Learning for Wireless Channels Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-25T00:06:29.135396Z

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 75e5393f-8336-464f-ab8b-6317fe61b5f1 · inbound

RA-LWLM: Retrieval-Augmented In-Context Localization with Wireless Foundation Models cites this paper.

RA-LWLM: Retrieval-Augmented In-Context Localization with Wireless Foundation Models Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-02T00:36:24.389306Z

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 5a172001-f55f-4106-b0e3-162f551044ae · inbound

Foundation Models for Wireless Communications: From PHY Intelligence to Network Autonomy cites this paper.

Foundation Models for Wireless Communications: From PHY Intelligence to Network Autonomy Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks

Reference 92

Resolution: verified exact; arxiv_id, observed 2026-07-02T14:47:03.885459Z

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 3d26ac06-320f-4bb8-88f5-a1b55afba563 · inbound

OmniLoc: A Geometry-Aware Foundation Model for Anchor-Free UE Localization Across Diverse Indoor Environments cites this paper.

OmniLoc: A Geometry-Aware Foundation Model for Anchor-Free UE Localization Across Diverse Indoor Environments Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:47:38.350254Z

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 04008b31-95c2-4591-933f-95f88cf2d550 · inbound

CSI-CLIP++: A Scalable Channel Foundation Model for Wireless Communication via CIR-CSI Consistency cites this paper.

CSI-CLIP++: A Scalable Channel Foundation Model for Wireless Communication via CIR-CSI Consistency Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:30:08.574164Z

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 63f15aa9-e6fe-449a-a158-cff2c35e8487 · inbound

Learning-Driven Channel Representation for Wireless Localization: From Channel Observations to Location Inference cites this paper.

Learning-Driven Channel Representation for Wireless Localization: From Channel Observations to Location Inference Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks

Reference 186

Resolution: unresolved; no resolver link, observed 2026-08-02T00:42:12.602051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e76ef36-26a5-4a57-ad4a-c887ef1f0c3b · inbound

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization cites this paper.

Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T22:34:46.335817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b4d32a6-5f1c-44cc-922f-32915368c1ee · 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 Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T23:29:03.886803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 113df6bf-babe-4e17-a755-7a316b4aca6b · inbound

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations cites this paper.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T00:36:19.117104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.