Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T03:07:14.238387Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T03:07:14.238387Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
35 of 35 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 85f18f3b-4c66-4bd7-a7b2-dcdef74ecfa9 · outbound
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Diffusion models beat gans on image synthesis,
Reference 17
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Unavailable: canonical work link unavailable.
Observation 2b28af8c-93f5-4ab0-8dd7-d9760aba849e · outbound
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
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
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
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
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
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
PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Auto-encoding variational bayes,
Reference 24
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Observation fdee664f-70f5-4090-baa3-0d17f7f9e0dc · outbound
PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation OxIOD: The Dataset for Deep Inertial Odometry
Reference 25
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Observation 3f13006e-39ab-445d-86f2-51da8a400d7b · outbound
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
PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Scalable Diffusion Models with Transformers
Reference 27
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Observation dde00dc1-1faa-4a33-a241-0bf6625f8b36 · outbound
PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Diffusion model for generative image denoising,
Reference 28
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Observation 767965ce-9198-4fb1-b0a7-206a3c78432a · outbound
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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Unavailable: canonical work link unavailable.
Observation 7ff9ae7b-70d7-4929-a61b-63d4bb57c7d2 · outbound
PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Improved denoising diffusion probabilis- tic models,
Reference 30
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Observation 93f107c8-6a08-4e9f-9acb-0fe0172c4c37 · outbound
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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Unavailable: canonical work link unavailable.
Observation aafc0fbc-7c21-460f-8a38-e1d079293658 · outbound
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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Observation 72913ca0-c6c0-414a-ac41-c9c203e4054b · outbound
PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation Consistency models,
Reference 33
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Observation e8a1b49e-4bcd-4cb2-8fb9-28075958a9c5 · outbound
PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation One-step diffusion with distribution matching distillation,
Reference 34
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Observation f74f381d-f650-43ba-8e24-5693af11e42d · outbound
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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No inbound Pith citation observations are available.