Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-29T12:45:53.128640Z
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2605.28477.
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 2026-06-29T12:45:53.128640Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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
42 of 42 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation a53ef8f5-496f-41d4-803a-09a7563f4ae9 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Holistic 3d scene understanding from a single image with implicit representation,
Reference 1
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Observation 38ee9065-01bb-4b6c-bc5c-387e12b3ec8b · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation DepthSplat: Connecting gaussian splatting and depth,
Reference 2
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Observation 3000e62a-4909-487b-81c0-b26f5ec6484c · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Visual attention- based self-supervised absolute depth estimation using geometric priors in autonomous driving,
Reference 3
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Observation 1fc100fd-476e-4fe0-b572-a382e2d454c6 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras,
Reference 4
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Observation 32eec0cc-6b34-45cd-8824-08d65dd57e60 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Adabins: Depth estimation using adaptive bins,
Reference 5
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Observation 93cfb36d-5717-4d0c-9d3a-383b310255ff · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Depth anything: Unleashing the power of large-scale unlabeled data,
Reference 6
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Observation 2d0fa5c1-7a98-4ef6-9ea4-463e9a77c4bf · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation 3D packing for self-supervised monocular depth estimation,
Reference 7
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Observation 48cd0afc-fcc4-4983-9a13-1b68370e92ec · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Digging into self-supervised monocular depth estimation,
Reference 8
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Observation 86e18f97-0adc-497e-9c65-d96a6f6c2c59 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Unsupervised learning of depth and ego-motion from video,
Reference 9
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Observation 8c922516-9941-4b8c-b946-9913ad33a964 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Vision meets robotics: The KITTI dataset,
Reference 10
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Observation de7fa7ec-62c6-4eb9-a570-9601b1e58d73 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation The cityscapes dataset for semantic urban scene understanding,
Reference 11
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Observation 53606309-3f4e-4bc7-bd77-db1cb2349ad4 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Indoor segmen- tation and support inference from rgbd images,
Reference 12
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Observation bde57f93-795d-4b8d-b8e5-de7e3f364cc0 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation MonoViT: Self-supervised monocular depth estimation with a vision transformer,
Reference 13
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Observation 6cc140cc-f482-4396-a3d0-c216d00ef01d · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Camera height doesn’t change: Unsu- pervised training for metric monocular road-scene depth estimation,
Reference 14
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Observation 09c3e69e-0eee-4041-b6c3-8c75413ff3b6 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation R4dyn: Exploring radar for self-supervised monocular depth estimation of dynamic scenes,
Reference 15
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Observation b150d7c8-491f-44c6-965b-da36b7f91210 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Robust monocular depth estimation under challenging conditions,
Reference 16
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Observation 464c387f-f417-4ce5-a1e8-4b229758fef5 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Learning depth from monocular videos using direct methods,
Reference 17
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Unavailable: canonical work link unavailable.
Observation 7b70eb97-5930-4651-929f-6258d6c61db0 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Towards better generalization: Joint depth-pose learning without posenet,
Reference 18
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Unavailable: canonical work link unavailable.
Observation 1175d42a-a338-46d6-8dbe-2078e35d59df · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation DualRefine: Self- supervised depth and pose estimation through iterative epipolar sampling and refinement toward equilibrium,
Reference 19
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Observation 4f13fa43-1be2-4ff9-9677-50cb10a82fea · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Are we ready for autonomous driving? the KITTI vision benchmark suite,
Reference 20
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Observation 9254728d-a928-4b25-b951-ccfa2986b196 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Unsupervised learning of monocular depth estimation and visual odom- etry with deep feature reconstruction,
Reference 21
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Observation 8d9ee535-ed99-4408-be7f-0cf2831a0846 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Mono-vifi: A unified learning framework for self-supervised single and multi-frame monocular depth estimation,
Reference 22
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Observation 3c8d0679-5d2a-494e-a953-438fa166838b · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Channel-wise attention-based net- work for self-supervised monocular depth estimation,
Reference 23
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Observation 27933bb4-a7db-4711-b9f3-e9cb68cca474 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Monoindoor++: Towards better practice of self-supervised monocular depth estimation for indoor envi- ronments,
Reference 24
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Observation fbe63889-0507-449d-972c-7bfb72066e63 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Superglue: Learning feature matching with graph neural networks,
Reference 25
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Unavailable: canonical work link unavailable.
Observation a500177a-52d2-46b2-9faa-54aac4b55987 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation LM-Reloc: Levenberg-Marquardt based direct visual relocalization,
Reference 26
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Observation 7cd75cc2-ae21-4434-9ab1-32594b7a3c50 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Back to the feature: Learning robust camera localization from pixels to pose,
Reference 27
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Unavailable: canonical work link unavailable.
Observation db3240e3-a656-4ad3-b811-b92512be4773 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Relative pose estimation through affine corrections of monocular depth priors,
Reference 28
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Unavailable: canonical work link unavailable.
Observation baa7842c-dce3-40ec-909d-0cf04a9d0b32 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Virtual KITTI 2
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 760079fa-338a-44f8-a2fe-c02b02439e44 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Cnn-slam: Real-time dense monocular slam with learned depth prediction,
Reference 30
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Observation 30c11ed7-6542-41c6-95a8-8dd855ce4212 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Sparsity invariant cnns,
Reference 31
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Observation 127b069f-b7c0-4c43-a987-e93674ef67cb · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Deep residual learning for image recognition,
Reference 32
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Observation 1dc2bb8a-5c38-49ef-a5a4-6f3688afbb77 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Hybrid-grained feature aggregation with coarse-to- fine language guidance for self-supervised monocular depth estimation,
Reference 33
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Observation df7e5cce-a00f-4b72-ae71-f03ea77a525c · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Adam: A Method for Stochastic Optimization
Reference 34
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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation cb849848-7f56-4ff9-a3ba-fa2c496b7c50 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture,
Reference 35
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Observation 9c61daba-04ec-4e3a-9cca-5767f23ed5ed · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation The temporal opportunist: Self-supervised multi-frame monocular depth,
Reference 36
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Observation f4bdc1ea-2390-4bf6-93ff-f5232b25adb1 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Auto- rectify network for unsupervised indoor depth estimation,
Reference 37
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Observation daf21c3d-e774-4cf4-b1a6-e29fdb19f21a · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Visual odometry revisited: What should be learnt?
Reference 38
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Observation e0ca3a09-c5ee-4880-b3d6-01d998006ab4 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Unsupervised scale-consistent depth and ego-motion learning from monocular video,
Reference 39
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Observation 938ff93b-2d1e-4243-96e0-be86407553e6 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Grounding image matching in 3d with mast3r,
Reference 40
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Observation 89675dd9-8470-490e-ae93-c4df1ba7d6ac · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Depthcrafter: Generating consistent long depth sequences for open- world videos,
Reference 41
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Observation 6ab5ef5a-4787-4ada-80c1-c946452d4fb8 · outbound
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation Video depth anything: Consistent depth estimation for super-long videos,
Reference 42
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No inbound Pith citation observations are available.