Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T15:58:31.732277Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 73 inbound Pith citation observations for arXiv:1908.00463.
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 2026-08-14T15:58:31.732277Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:25.455314Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T01:46:41.331880Z
34 of 34 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation aa74eac9-0c7c-4700-8e17-2a942b0b4aa3 · outbound
DIODE: A Dense Indoor and Outdoor DEpth Dataset https://www.faro
Reference 1
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DIODE: A Dense Indoor and Outdoor DEpth Dataset High Quality Monocular Depth Estimation via Transfer Learning
Reference 3
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Observation a73b74df-73be-44ac-88ec-25cd0ee10390 · outbound
DIODE: A Dense Indoor and Outdoor DEpth Dataset Matterport3D: Learning from RGB-D Data in Indoor Environments
Reference 4
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Reference 5
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Reference 6
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Reference 7
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Reference 8
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DIODE: A Dense Indoor and Outdoor DEpth Dataset Fischler and R
Reference 9
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Reference 10
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Reference 11
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Reference 12
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Reference 13
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DIODE: A Dense Indoor and Outdoor DEpth Dataset 3D Packing for Self-Supervised Monocular Depth Estimation
Reference 14
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Reference 15
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Observation 916e2cd9-8d17-4e19-8c63-2bff338c7ce2 · outbound
DIODE: A Dense Indoor and Outdoor DEpth Dataset Adam: A Method for Stochastic Optimization
Reference 16
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DIODE: A Dense Indoor and Outdoor DEpth Dataset Knapitsch, J
Reference 17
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Reference 18
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DIODE: A Dense Indoor and Outdoor DEpth Dataset Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
Reference 19
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Observation 4b185fa3-a1dd-4bb7-8def-b77adaa5e50e · outbound
Reference 20
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Reference 21
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Reference 22
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DIODE: A Dense Indoor and Outdoor DEpth Dataset Marchand, H
Reference 23
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Reference 24
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DIODE: A Dense Indoor and Outdoor DEpth Dataset Unresolved cited work
Reference 25
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Reference 26
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Reference 27
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DIODE: A Dense Indoor and Outdoor DEpth Dataset Scharstein and R
Reference 28
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Reference 29
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DIODE: A Dense Indoor and Outdoor DEpth Dataset Silberman, D
Reference 30
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DIODE: A Dense Indoor and Outdoor DEpth Dataset Smolyanskiy, A
Reference 31
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DIODE: A Dense Indoor and Outdoor DEpth Dataset Unresolved cited work
Reference 32
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Reference 33
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Reference 34
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Reference 35
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Adding Conditional Control to Text-to-Image Diffusion Models DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 87
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Observation 40abdad3-a242-4b31-b0b5-7b6d3d14b902 · inbound
ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 41
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Depth Anything V2 DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 76
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Reference 31
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NeRF Inpainting with Geometric Diffusion Prior and Balanced Score Distillation DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 32
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Observation 3ac51171-17d1-4830-95d3-0cc5fc835117 · inbound
One Diffusion to Generate Them All DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 61
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Observation 4f21ab82-cc1b-45b3-80d3-4c90c6d4f759 · inbound
SharpDepth: Sharpening Metric Depth Predictions Using Diffusion Distillation DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 42
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Observation 192cbeb7-3c55-47af-9f2f-dfb098632c2b · inbound
OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 56
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Observation ee04ffd2-9fdc-4a7d-81d3-a8ba1115702b · inbound
FiffDepth: Feed-forward Transformation of Diffusion-Based Generators for Detailed Depth Estimation DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 42
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Flowing from Words to Pixels: A Noise-Free Framework for Cross-Modality Evolution DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 89
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Observation fb3dacfe-810d-4f90-9a89-ad83d39324ec · inbound
MINIMA: Modality Invariant Image Matching DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 46
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An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 27
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Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 60
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ArtCrafter: Text-Image Aligning Style Transfer via Embedding Reframing DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 52
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Observation 36a69866-ef9c-4e65-a85c-dcf1dc2118c6 · inbound
DepthMaster: Taming Diffusion Models for Monocular Depth Estimation DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 78
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Observation 0009ed85-8f94-4d06-835a-84cde9a774dc · inbound
ZeroStereo: Zero-shot Stereo Matching from Single Images DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 50
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Grounding Text-to-Image Diffusion Models for Controlled High-Quality Image Generation DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 65
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Observation 8e6be5a9-10f0-4be6-901b-0b4f14014f7f · inbound
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 62
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Orchid: Image Latent Diffusion for Joint Appearance and Geometry Generation DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 53
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Inverse Bridge Matching Distillation DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 2021
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Bidirectional Diffusion Bridge Models DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 49
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Observation 7d80367e-a68f-4d3a-96f6-1d53acfb39f3 · inbound
Metric-Solver: Sliding Anchored Metric Depth Estimation from a Single Image DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 42
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Observation 0796eec8-94ef-444a-846d-962e1ef79aaa · inbound
The Fourth Monocular Depth Estimation Challenge DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 108
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Observation 7064dcd2-c2b2-4a6e-a4f7-ed06b613ff2a · inbound
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 64
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Observation d4dfef60-d868-424f-ad00-1d6ec7bdec51 · inbound
Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 26
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Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 114
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Depth Anything with Any Prior DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 46
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Jodi: Unification of Visual Generation and Understanding via Joint Modeling DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 90
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Towards In-the-wild 3D Plane Reconstruction from a Single Image DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 61
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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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Observation d6ba0edc-08dd-413e-8d3e-5e37baa61e3c · inbound
Evaluating Robustness of Monocular Depth Estimation with Procedural Scene Perturbations DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 35
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Observation dc8e6bef-27d5-4b2a-847b-9015d64b583f · inbound
Depth Anything at Any Condition DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 76
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Observation ca5fc7ae-ecd2-4112-9326-7162c96f1073 · inbound
MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 57
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Observation 57f6bc02-b2e0-411a-942f-4189ee198900 · inbound
DNF-Intrinsic: Deterministic Noise-Free Diffusion for Indoor Inverse Rendering DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 51
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Observation 7b117650-4b64-45e7-ae38-d84a9059da53 · inbound
PacGDC: Label-Efficient Generalizable Depth Completion with Projection Ambiguity and Consistency DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 46
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Observation 3664ea5c-ab1c-4293-8a06-1de163409da4 · inbound
Spatial Lifting for Dense Prediction DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 52
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Unavailable: canonical work link unavailable.
Observation 224e5921-e4fc-47e8-811d-6c2248a5c419 · inbound
NavComposer: Composing Language Instructions for Navigation Trajectories through Action-Scene-Object Modularization DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 76
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Observation 4cbae093-38f4-4ee9-a125-74a6f4874ee9 · inbound
Qwen-Image Technical Report DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 26
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Observation dae06042-ffdd-43b5-abc2-fe0813833c43 · inbound
Depth Anything 3: Recovering the Visual Space from Any Views DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 88
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Observation 1afb622a-354c-4ab8-a719-524439608eaf · inbound
Lotus-2: Advancing Geometric Dense Prediction with Powerful Image Generative Model DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 73
Source-reported events for the cited work
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Observation 48224d11-56d6-48c6-a164-b2cbfb336573 · inbound
MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 104
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Observation d1e52644-3f7a-423b-923b-cca76b661735 · inbound
Depth Completion in Unseen Field Robotics Environments Using Extremely Sparse Depth Measurements DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 30
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Observation 5f687647-1ecb-43f7-9ccf-ae99607ade7a · inbound
Any to Full: Prompting Depth Anything for Depth Completion in One Stage DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 56
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Observation 1a9ed42c-58bb-4f05-bbff-85870e984164 · inbound
SceneScribe-1M: A Large-Scale Video Dataset with Comprehensive Geometric and Semantic Annotations DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 48
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Observation e006bdb4-b84e-4988-974e-66c147a246fe · inbound
Image Generators are Generalist Vision Learners DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 25
Source-reported events for the cited work
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Observation 86d954bd-3ca4-4358-8b9c-44afe86b03de · inbound
Image Generators are Generalist Vision Learners DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 25
Source-reported events for the cited work
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Observation 730b692c-2207-4337-96e1-d77b5db53b68 · inbound
Open-Source Image Editing Models Are Zero-Shot Vision Learners DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 26
Source-reported events for the cited work
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Observation 4a1e795f-efa3-45e5-9fb6-f791fd424a0c · inbound
DBMSolver: A Training-free Diffusion Bridge Sampler for High-Quality Image-to-Image Translation DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 13
Source-reported events for the cited work
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Observation 30e7c7d3-353e-4673-9134-dec828a63d5e · inbound
The Midas Touch for Metric Depth DIODE: A Dense Indoor and Outdoor DEpth Dataset
Reference 53
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Reference 20
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Reference 41
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Reference 14
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Reference 45
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Reference 31
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Reference 31
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Reference 64
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Reference 39
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Reference 62
Source-reported events for the cited work
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Reference 62
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Reference 50
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Reference 7
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Reference 44
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Reference 44
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Reference 173
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Reference 81
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Reference 37
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Observation ab1d6f26-fba3-489e-afd0-eef83645f04f · inbound
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Reference 37
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Reference 175
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Reference 46
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Reference 46
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Reference 69
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Reference 60
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Observation 7300a562-926b-4fc4-85b2-238383ab9bbd · inbound
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Reference 64
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