Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:45:00.199382Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2506.04612.
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 2026-08-07T10:45:00.199382Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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
73 of 73 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 8c53e137-6b65-4bea-8950-02685001d71a · outbound
Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth GAUDI: A neural architect for immersive 3d scene genera- tion
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Escaping the sample trap: Fast and accurate epistemic uncertainty estimation with pairwise-distance estimators
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Shedding light on large generative networks: Estimating epistemic uncer- tainty in diffusion models
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth AdaBins: Depth estimation using adaptive bins
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Align your latents: High-resolution video synthesis with la- tent diffusion models
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Depth esti- mation via affinity learned with convolutional spatial propa- gation network
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Learning depth with convolutional spatial propagation network
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth WAIC, but Why? Generative Ensembles for Robust Anomaly Detection
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Observation 2449cccb-5e1b-44e2-9684-6b7a6cfb97a1 · outbound
Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Deep reinforcement learning in a handful of trials using probabilistic dynamics models
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Spar- sity agnostic depth completion
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Observation ad792d6e-2ca9-4144-910a-86521c33dfc8 · outbound
Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Chang, Manolis Savva, Maciej Hal- ber, Thomas Funkhouser, and Matthias Nießner
Reference 13
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Decomposition of un- certainty in bayesian deep learning for efficient and risk- sensitive learning
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Diffusion models beat gans on image synthesis
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Observation 7c9c54e5-c9b6-4221-b434-7eafadc6d2ef · outbound
Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth An image is worth 16x16 words: Transformers for image recognition at scale
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Depthlab: Real-time 3d in- teraction with depth maps for mobile augmented reality
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Depth map prediction from a single image using a multi-scale deep net- work
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Structure and content-guided video synthesis with diffusion models
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Observation 3318bd5e-eb9d-4015-a5db-6a14bdc89d03 · outbound
Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Deep bayesian active learning with image data
Reference 23
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Observation cc47a432-1cc9-41b9-b6ac-91db0c09f529 · outbound
Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Are we ready for autonomous driving? the KITTI vision benchmark suite
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Masked autoencoders are scalable vision learners
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Reference 27
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Observation e567dc02-ea70-46e8-ad6d-dd0b4275fa48 · outbound
Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Unresolved cited work
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth DDP: Diffusion model for dense visual prediction
Reference 29
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Reference 30
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Reference 31
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Reference 32
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Unresolved cited work
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Batchbald: Efficient and diverse batch acquisition for deep bayesian active learning
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Continuously masked transformer for image inpainting
Reference 35
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Simple and scalable predictive uncertainty estima- tion using deep ensembles
Reference 36
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Single-image depth estimation based on Fourier domain analysis
Reference 37
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
Reference 38
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Mat: Mask-aware transformer for large hole image in- painting
Reference 39
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Depthlab: From partial to complete
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Reference 42
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Freecontrol: Training-free spatial control of any text-to-image diffusion model with any condition
Reference 43
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Observation 09a75897-af15-4c7c-b1a0-6f70ee894c2c · outbound
Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Semattnet: Toward attention- based semantic aware guided depth completion
Reference 44
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Reference 45
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Reference 46
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Reference 47
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Reference 48
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Reference 49
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Reference 50
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Reference 51
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth The surprising effectiveness of diffusion models for optical flow and monocular depth estimation
Reference 52
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Laion-5B: An open large-scale dataset for training next generation image-text models
Reference 53
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Reference 54
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Reference 55
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Reference 56
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Reference 57
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Reference 58
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 59
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Reference 60
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Lrru: Long-short range recurrent updating networks for depth completion
Reference 61
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Reference 62
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Reference 63
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Reference 64
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Reference 65
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Aggregating feature point cloud for depth completion
Reference 66
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Reference 67
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Reference 68
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Reference 69
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Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Completionformer: Depth completion with convolutions and vision transform- ers
Reference 70
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Reference 71
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Reference 72
Source-reported events for the cited work
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Reference 73
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.
No inbound Pith citation observations are available.