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Paper Citation Record · LEDGER

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations

As of 9 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 2026-08-08T06:32:00.761636+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.

source=pdf_text observed=2026-08-06T20:59:15.694856Z digest=sha256:e8e854e3952e005257264e0e0680033885e1404893ef268dbb784558e7ce538e

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.

source=pdf_text observed=2026-08-06T20:59:15.787468Z digest=sha256:f008b98f6356d8025bf3e26baf7099574c788636b1f4282ac2b1e30258c27015

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

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

source=pdf_text observed=2026-08-06T20:59:16.046002Z digest=sha256:1d930e43e6f8afd5541d4fd701656c0151d10ec98bb6c4e0fa4ed48d5c841cd2

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

source=pdf_text observed=2026-08-06T20:59:16.146077Z digest=sha256:7dbc30a92a5c22936512beb77df514e428261bb225d5893d099660f430cc2827

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

source=pdf_text observed=2026-08-06T20:59:16.303649Z digest=sha256:5fdc4a0df759b389e3738df1dfb70322333e5e46872679cb9de626fdb1d8fb7f

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

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

source=pdf_text observed=2026-08-06T20:59:16.393182Z digest=sha256:0033d938a06926c6d97607709ff5b91f9c091ae11f42d7c4229a95ab07761aee

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

source=pdf_text observed=2026-08-06T20:59:16.541550Z digest=sha256:5d14678c8c755f14c9099864a77dc7e74eadb9ae3672a3cfc97870a8afd8c15c

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

Resolution
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=sha256:5eaf84b48c7b16e55172068a23747eb1c575fe9fab5df2bb8846470ce19afc2f

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=sha256:62f7f5a95d3709976281d0f2374bc599553aacb4c120242d71bc778c996710d4

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

source=pdf_text observed=2026-08-06T20:59:16.769640Z digest=sha256:55c8aac80eba151cec8e78843344fbe94fc42e1edf1b474c8ac846e3bf6fd72d

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

source=pdf_text observed=2026-08-06T20:59:16.855031Z digest=sha256:c47031205408b3ab6d3759c245df736c6d819a10ca33dd19396c613a8c1d2ccc

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

source=pdf_text observed=2026-08-06T20:59:16.925433Z digest=sha256:69a0333efb1ec47847374428fd150c59687c8e470ef06e92936ba93fc48d69e2

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

source=pdf_text observed=2026-08-06T20:59:17.061552Z digest=sha256:c8519ad3f2a536284969c0e58a53923480e04efff2b34f077f8424de8f801e6a

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

source=pdf_text observed=2026-08-06T20:59:17.161068Z digest=sha256:3ac35475df0909025f9b698b77dc83cabc473e0091f0fe5d63799d9e1b582335

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=sha256:98e0c741f3b8ae6fa109badb448edd2769b28e46178d8e3d15509df493df340c

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

source=pdf_text observed=2026-08-06T20:59:17.303033Z digest=sha256:b3d36615e314b8e6ffb338d1a52c8d0c78f8360c446704ee4b8f643d02f10a2a

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

source=pdf_text observed=2026-08-06T20:59:17.374205Z digest=sha256:eb400ecccacff977bd7cab058d4b9119ec1f7bc18a34665f9cd2b8924337fca1

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

Resolution
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=sha256:8d39be495e0f8710017b6531ad0c41f202b9cdf089f4833b3784d754aa42bc59

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:b70c2d8d0a91ab9bf6e4e5d100a4711fb175d14a7dd4b8fa85bdf1a490e2fe0d