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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 2026-08-09T06:31:02.800959+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.

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:59:15.925710Z digest=sha256:75595943cab5c191ffccba31425878245958da161c620c9022a405eded84312a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:59:16.046002Z digest=sha256:c43d3a3090f666c99f9b677d50c10b27d4ce9a02729f1549f9cd4c36bd7a23c8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:59:16.146077Z digest=sha256:628347f0796627a24d33b337075ba6de53654b25349688e7bb2aea55992a5943

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:59:16.303649Z digest=sha256:9c536ca2c7e179899f4aac58609220bd12ff945ee550179cf6c4740af0d38214

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:59:16.393182Z digest=sha256:e9172d1cb51cf58553c2c041448adab38e26af70ffe44092cbe29417c87adb1d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:59:16.541550Z digest=sha256:347e82dcd19c1bd861bf83a0087089a2ff1f8d2dc4fc39592511ad2d9a35d4b5

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=sha256:5eaf84b48c7b16e55172068a23747eb1c575fe9fab5df2bb8846470ce19afc2f

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:59:16.769640Z digest=sha256:8d9da82e30ce8d9dd2f4b14fa055147bc648d593dd1ca204711cf49f21a705d1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:59:16.855031Z digest=sha256:6df17a5acbec6f0725059ff5cc0e16711103ee127a3e562d975fdd1c203b94d8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:59:16.925433Z digest=sha256:6f58693c319902b2d2efc14d014c2624d2cbc73f74867a92e5dc2749b0ea683e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:59:17.061552Z digest=sha256:b17f3968e77aa4a823cfde790076c8a599f6c207471ddf1860e5dfb79780e73a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:59:17.161068Z digest=sha256:0e574ba9a91b2105c9afc498ddf734bc8e74274edc05c7571d9187f6191cb690

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:59:17.303033Z digest=sha256:19c2ec66c026086e47830eea8606808b5e5482d3a8effe5839b1f0b525faf6a9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:59:17.374205Z digest=sha256:a9411d461c959fd465a992ef95a5f5689120e44457a5508bf9b6c09ecfb65aa5

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:debee8963ff3b3c5b85654db4ebbe2701bac3437526cdabf4c17a879d7f8d566

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

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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