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Paper Citation Record · LEDGER

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations

As of 20 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2507.01337.

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

pith.paper-citation-record.v1
2507.01337 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:59:17.450359Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:05:30.934145Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

  • verified exact1
  • verified fuzzy12
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dc6d1e53-d587-4708-9e03-209d06f8e7f1 · outbound

This paper cites Wireless large AI model: shaping the AI-empowered future of 6G and beyond.

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations Wireless large AI model: shaping the AI-empowered future of 6G and beyond

Reference 1

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unresolved
no resolver link, observed 2026-08-06T20:59:15.694856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 44eb4bde-20e1-46dd-888c-15aed3a9df7d · outbound

This paper cites Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences.

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

Reference 2

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unresolved
no resolver link, observed 2026-08-06T20:59:15.787468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 27173eaf-d498-4698-8e11-d9f20c004e1d · outbound

This paper cites Robust deep learning-based physical layer communications: Strategies and approaches,.

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations Robust deep learning-based physical layer communications: Strategies and approaches,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-06T20:59:19.453355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 80f752fd-0e02-4328-bfce-080c980884ab · outbound

This paper cites Multi-sources information fusion learning for multi- points NLOS localization,.

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations Multi-sources information fusion learning for multi- points NLOS localization,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-06T20:59:19.334032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:59:16.046002Z digest=sha256:3835e0886d3d00f7859f46ab6968b4da1fab78a1317042b9d2717803fc31b20f

Observation 71db4260-2edd-43e9-8158-5ea20562e4a5 · outbound

This paper cites Fingerprint-based localization for massive MIMO-OFDM system with deep convolutional neural networks,.

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations Fingerprint-based localization for massive MIMO-OFDM system with deep convolutional neural networks,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-06T20:59:19.194646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:59:16.146077Z digest=sha256:36c54e8f438e6fd80a8092f39bd41f6994da8681de8808483f1aa5de5747e88a

Observation abd6ae71-2918-459f-823d-d5a1a115ed34 · outbound

This paper cites Sub-THz Channel Measurements at 158 GHz and 300 GHz in a Street Canyon Environment.

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations Sub-THz Channel Measurements at 158 GHz and 300 GHz in a Street Canyon Environment

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:59:17.610911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:59:16.303649Z digest=sha256:7bac890c09a6ee8922429520d944e911ce2bd54df1cf69f7b513a70bc8875ad9

Observation c07b6106-a76d-4c75-af18-034a17bb23fb · outbound

This paper cites Achieving centimeter- accuracy indoor localization on WiFi platforms: A multi-antenna ap- proach,.

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations Achieving centimeter- accuracy indoor localization on WiFi platforms: A multi-antenna ap- proach,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-06T20:59:19.083345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:59:16.393182Z digest=sha256:7b21c39b7d0a46eeaab401f58dd25b9283cee52dbfff9294e8d6f07852a79d01

Observation 4034fd80-be2c-441b-86ce-ba409b8298c1 · outbound

This paper cites Dynamic modeling of patients, modalities and tasks via multi-modal multi-task mixture of experts,.

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations Dynamic modeling of patients, modalities and tasks via multi-modal multi-task mixture of experts,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:18.975467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:59:16.541550Z digest=sha256:303b982c30f019dd283bcf9fb938e7536fbe7e23be5f23896a92b52e02ba8f0c

Observation 59eea31b-f2ab-4d9d-8d81-c887d35c7faf · outbound

This paper cites A belief propagation algorithm for multipath-based SLAM,.

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations A belief propagation algorithm for multipath-based SLAM,

Reference 9

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unresolved
no resolver link, observed 2026-08-06T20:59:16.616973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:16.616973Z digest=sha256:433d28d38e8b2637677ca69f5b4799e422a07e8a4839d20fb4a53910d9ae58b3

Observation c4e43d1c-ad3a-4e4e-90c2-485bdbcd6536 · outbound

This paper cites Multi-sources fusion learning for multi-points NLOS localization in OFDM system,.

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations Multi-sources fusion learning for multi-points NLOS localization in OFDM system,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:16.693746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:16.693746Z digest=sha256:c097a26b3aa04acbe0faed8d877d18819af14478201344f9fcc5061ff3eebe49

Observation f24ee75b-a818-4900-9879-69fc2c741fa5 · outbound

This paper cites MoLoc: On distinguishing fingerprint twins,.

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations MoLoc: On distinguishing fingerprint twins,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:18.795735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation dd407319-2f42-4783-b1f7-3f60c44c821a · outbound

This paper cites Localization approach based on ray-tracing simulations and fingerprinting techniques for indoor–outdoor scenarios,.

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations Localization approach based on ray-tracing simulations and fingerprinting techniques for indoor–outdoor scenarios,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:18.586299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:59:16.855031Z digest=sha256:9b2f0773f96cfaf84d5890c4bc2049f48c119a290de6fb2a99f47ddbe6524359

Observation 094add2f-c967-4a13-ada5-89833fb7e081 · outbound

This paper cites Wireless localization with spatial-temporal robust fingerprints,.

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations Wireless localization with spatial-temporal robust fingerprints,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:18.304966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:59:16.925433Z digest=sha256:66d259957418efc36fce423663bc442d258cfaae17ba649b6844660afa08efce

Observation 30f172aa-25f1-407b-93cf-16f49a0d4188 · outbound

This paper cites A wireless fingerprint positioning method based on wavelet transform and deep learning,.

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations A wireless fingerprint positioning method based on wavelet transform and deep learning,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:18.088974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:59:17.061552Z digest=sha256:9a3f1b17ca6af425fffe70c4394ac7e1069fa662c92402c9fa7b6e9378b20bf4

Observation 212d45f4-7b11-434a-b494-96ef7e2e7062 · outbound

This paper cites Multiple-camera people localization in an indoor environment,.

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations Multiple-camera people localization in an indoor environment,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:17.955732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:59:17.161068Z digest=sha256:9a58461480fdb2241ba313c0cddeb4649e0a28854ec684a105c4478235a638b4

Observation 3d0e8fd1-d6bc-417d-b831-1fa301527098 · outbound

This paper cites WAIR-D: Wireless AI Research Dataset.

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations WAIR-D: Wireless AI Research Dataset

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:17.239731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:17.239731Z digest=sha256:f5a7505370644c7f162d8781d405f05eb2fad09d754d92922bf047241c54f46d

Observation c11691ef-799a-44a7-8cf2-0306f54f7433 · outbound

This paper cites On deep learning-based massive MIMO indoor user localization,.

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations On deep learning-based massive MIMO indoor user localization,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:17.854858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:59:17.303033Z digest=sha256:fe12b3450272c67a2fe5fbca9864847d42cb3ff54465c5707f31a9023dbddc30

Observation 703ce096-2512-437c-be19-b98c5bf1f235 · outbound

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

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations Swin-loc: Transformer-based CSI fingerprinting indoor localization with MIMO ISAC system,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:59:17.742712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:59:17.374205Z digest=sha256:7dbe42bab8e904f82165be8c79f1f73f02c9b33b8c2d25c293174424cb23a59c

Observation fb3f2271-e40c-4456-a191-fc9c05a58007 · outbound

This paper cites From Sparse to Soft Mixtures of Experts.

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations From Sparse to Soft Mixtures of Experts

Reference 19

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unresolved
no resolver link, observed 2026-08-06T20:59:17.450359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:17.450359Z digest=sha256:48a0518bed6b20bfe4a9cd762461d9296505eacd4f339660f2dfe08427c6ccb4

Pith citing papers

Observation 3fcf22a6-d92e-425c-b394-bf7b627fe72e · inbound

Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks cites this paper.

Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T10:05:30.934145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:05:30.934145Z digest=sha256:002ab28dee0e03d146cd9814950da5bc2d86d7c8703a5cc9f32bb282223a3fc8