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Paper Citation Record · LEDGER

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation

As of 9 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.03349.

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

pith.paper-citation-record.v1
2607.03349 v1

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measured 35 of 35 reference resolution

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measured 35 of 35 standing notices

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measured 0 of 0 inbound itemization

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35 of 35 outbound references displayed

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Outbound references

Observation 85f18f3b-4c66-4bd7-a7b2-dcdef74ecfa9 · outbound

This paper cites Performance evaluation of different grade imus for diagnosis applications in land vehicular multi-sensor architectures,.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Performance evaluation of different grade imus for diagnosis applications in land vehicular multi-sensor architectures,

Reference 1

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Observation 0f6dd202-9dc0-47da-af32-b7132dfdc83d · outbound

This paper cites Stance-phase detection for zupt-aided foot-mounted pedestrian navigation system,.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Stance-phase detection for zupt-aided foot-mounted pedestrian navigation system,

Reference 2

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Observation b840ed82-d9f1-4530-9094-31b1276cece0 · outbound

This paper cites Reevaluation of algorithmic basics for zupt-based pedestrian navigation,.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Reevaluation of algorithmic basics for zupt-based pedestrian navigation,

Reference 3

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Observation 1eb13385-7e74-4e02-a432-685ac5f121e8 · outbound

This paper cites Ronin: Robust neural inertial navigation in the wild: Benchmark, evaluations, & new methods,.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Ronin: Robust neural inertial navigation in the wild: Benchmark, evaluations, & new methods,

Reference 4

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Observation 72efcc38-d8a1-4702-8e65-2251ca103566 · outbound

This paper cites Tlio: Tight learned inertial odometry,.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Tlio: Tight learned inertial odometry,

Reference 5

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Observation 48bc19c2-baa5-46fb-a48e-74270afc8d83 · outbound

This paper cites Ionet: Learning to cure the curse of drift in inertial odometry,.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Ionet: Learning to cure the curse of drift in inertial odometry,

Reference 6

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Observation e11fb63b-8eb7-4a65-ad6f-e76801514b4c · outbound

This paper cites RIDI: Robust IMU Double Integration.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation RIDI: Robust IMU Double Integration

Reference 7

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Observation f374a370-c266-4c7f-b9b5-1505a9a1d63c · outbound

This paper cites Personal inertial navigation system (pins),.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Personal inertial navigation system (pins),

Reference 8

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Observation d7c3dbdc-a5df-40b7-9d8b-724df163b779 · outbound

This paper cites Pedestrian tracking with shoe-mounted inertial sensors,.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Pedestrian tracking with shoe-mounted inertial sensors,

Reference 9

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Observation 8edce809-af3f-49b9-85c7-a544ce056f95 · outbound

This paper cites Evaluation of zero-velocity detec- tors for foot-mounted inertial navigation systems,.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Evaluation of zero-velocity detec- tors for foot-mounted inertial navigation systems,

Reference 10

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Observation 066c2579-7c34-4004-9a4c-41d8ad01288a · outbound

This paper cites Ctin: Robust contextual transformer network for inertial navigation,.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Ctin: Robust contextual transformer network for inertial navigation,

Reference 11

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Observation 5a27fe5b-8314-4ada-a691-6b7506bb20d6 · outbound

This paper cites Llio: Lightweight learned inertial odometer,.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Llio: Lightweight learned inertial odometer,

Reference 12

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Observation 782409c6-c756-47e3-a61b-0e94ec74b4e8 · outbound

This paper cites Eqnio: Subequivariant neural inertial odometry,.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Eqnio: Subequivariant neural inertial odometry,

Reference 13

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Observation 387393a9-c87f-481f-bdae-006b2efe83db · outbound

This paper cites Trajectory diffusion for objectgoal navigation,.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Trajectory diffusion for objectgoal navigation,

Reference 14

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Observation aa344ce4-113e-490d-99fc-0179788ba0e1 · outbound

This paper cites Diffusionimu: Diffusion-based inertial navigation with iterative motion refinement,.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Diffusionimu: Diffusion-based inertial navigation with iterative motion refinement,

Reference 15

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Observation cdb2ffcc-7719-4e3a-8f58-9330fe3b278a · outbound

This paper cites Denoising diffusion probabilistic models,.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Denoising diffusion probabilistic models,

Reference 16

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Observation a894a01a-b039-433e-a61d-ef5a23a5a1cd · outbound

This paper cites Diffusion models beat gans on image synthesis,.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Diffusion models beat gans on image synthesis,

Reference 17

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Observation 2b28af8c-93f5-4ab0-8dd7-d9760aba849e · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 18

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Observation 3b5e0d17-6f46-43a6-9e5e-1484142a5dda · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 19

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Observation da352908-3d77-4ed0-b5ce-9cceda24f559 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Score-Based Generative Modeling through Stochastic Differential Equations

Reference 20

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Observation d7a89c45-ca36-42c1-a5cc-4dd5207837ea · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models,.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Repaint: Inpainting using denoising diffusion probabilistic models,

Reference 21

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Observation 126734c2-5248-4141-bbcb-a37a57339176 · outbound

This paper cites Joint pedestrian trajectory prediction through posterior sampling,.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Joint pedestrian trajectory prediction through posterior sampling,

Reference 22

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Observation aed4c821-0a12-4a12-a5cf-7329048f54da · outbound

This paper cites Leapfrog diffu- sion model for stochastic trajectory prediction,.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Leapfrog diffu- sion model for stochastic trajectory prediction,

Reference 23

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Observation 607e6b32-8d41-46e3-8f6c-80db0d6ed08e · outbound

This paper cites Auto-encoding variational bayes,.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Auto-encoding variational bayes,

Reference 24

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This paper cites OxIOD: The Dataset for Deep Inertial Odometry.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation OxIOD: The Dataset for Deep Inertial Odometry

Reference 25

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This paper cites Learning transferable visual models from natural language supervision,.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Learning transferable visual models from natural language supervision,

Reference 26

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Observation 25f005f0-c9fb-4b4d-b5bb-e20653884d00 · outbound

This paper cites Scalable Diffusion Models with Transformers.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Scalable Diffusion Models with Transformers

Reference 27

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This paper cites Diffusion model for generative image denoising,.

PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Diffusion model for generative image denoising,

Reference 28

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PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models,

Reference 29

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PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Improved denoising diffusion probabilis- tic models,

Reference 30

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PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps,

Reference 31

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PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Multi-task learning using uncer- tainty to weigh losses for scene geometry and semantics,

Reference 32

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PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Consistency models,

Reference 33

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PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation One-step diffusion with distribution matching distillation,

Reference 34

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PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation A benchmark for the evaluation of rgb-d slam systems,

Reference 35

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