Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:41:19.039697Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2412.02336.
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 2026-08-11T23:41:19.039697Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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
53 of 53 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 568ddef2-8939-4381-8790-4d23f612fcc5 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Adabins: Depth estimation using adaptive bins
Reference 1
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Observation a5cb5c40-d8bd-4635-b4d7-c8beabdadc6d · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Localbins: Improving depth estimation by learning local dis- tributions
Reference 2
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Observation 4f41b969-6b09-41b9-b4f1-e08643ba51d1 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth
Reference 3
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Observation f29c1be7-8ac3-4040-84ff-b0fba8b37de4 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Monocular Depth Estimation: A Survey
Reference 4
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Observation 385f9245-b53e-42cb-8010-4485dd977944 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation
Reference 5
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Observation e589a53c-4955-477a-b48f-baf45b19c794 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Depth Pro: Sharp Monocular Metric Depth in Less Than a Second
Reference 6
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Observation e49e5705-c39b-4163-86d7-244fb4ae05b8 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 7
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Observation dbfc90d3-1acf-4a7a-a626-a570f48105f7 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Segan: Segmenting and generating the invisible
Reference 8
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Observation 9d474a23-5b85-49e5-bb98-375cb5c51946 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Depth map prediction from a single image using a multi-scale deep net- work
Reference 9
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Observation 1ab9c3b8-91ac-47cf-a04d-6c0182cc3f1a · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting
Reference 10
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Observation 2fc3839d-9fb4-4524-b59e-d78aafb9bf00 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Deep ordinal regression net- work for monocular depth estimation
Reference 11
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Observation c9968d0a-1715-443a-8ba4-cde2887a58c7 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild GeoBench: Benchmarking and Analyzing Monocular Geometry Estimation Models
Reference 12
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Observation 7ac46445-e9c7-40a7-9269-f7d283458799 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild DepthFM: Fast Monocular Depth Estimation with Flow Matching
Reference 13
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Observation a85d7573-1478-40bd-9b27-20f11659dde3 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild TAO-Amodal: A Benchmark for Tracking Any Object Amodally
Reference 14
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Observation 50c175b2-75e6-451c-8eb5-50738beec401 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Slide: Single image 3d photography with soft layering and depth-aware inpainting
Reference 15
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Observation 1501c5ae-0d9f-4986-ad5a-74f515dbaa4a · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Occlusion- aware amodal depth estimation for enhancing 3d reconstruc- tion from a single image
Reference 16
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Observation c5a414ee-6026-4acf-aba5-caec5fb5977d · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Amodal completion and size constancy in natural scenes
Reference 17
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Observation bd4d6a47-6372-424a-840b-b18c5896906d · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Repurpos- ing diffusion-based image generators for monocular depth estimation
Reference 18
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Observation cdefdced-23c2-434a-afb9-a61c2173b5ba · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Deep occlusion- aware instance segmentation with overlapping bilayers
Reference 19
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Observation 1c93811f-23eb-4b32-8b8e-e2850b6bfd36 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Segment any- thing
Reference 20
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Observation 88ad989e-7016-4a0e-9c79-1422f4a9a2e8 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Evp: Enhanced visual perception us- ing inverse multi-attentive feature refinement and regularized image-text alignment
Reference 21
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Observation 2d272bc5-3ec9-4edd-bc5f-e0bd503b71f5 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation
Reference 22
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Observation 7a5fc26d-4391-4516-bae9-8a507f76a8ae · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation
Reference 23
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Observation 14abd6a4-6847-40d9-945d-4b4a7bc04aa4 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Depthformer: Exploiting long-range correlation and local in- formation for accurate monocular depth estimation.Machine Intelligence Research, pages 1–18, 2023
Reference 24
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Observation 7354adb2-4206-45b6-a9cd-fe30ac212764 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Humans as light bulbs: 3d hu- man reconstruction from thermal reflection
Reference 25
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Observation d947045d-5c8f-42ab-8ed3-073fa464ea20 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Single image depth estimation: An overview
Reference 26
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Observation 5ade406d-82e6-41b9-b927-e5b790d1b26c · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild pix2gestalt: Amodal segmentation by synthesizing wholes
Reference 27
Source-reported events for the cited work
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Observation 78484278-d1c6-46d5-96cf-e236ce71b2f0 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Unidepth: Universal monocular metric depth estimation
Reference 28
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Observation f6033b34-25d5-465b-90e3-49506aa2549c · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Reference 29
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Observation fd8598ff-8eef-4f02-8b89-2fdbf2140743 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Amodal instance segmentation with kins dataset
Reference 30
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Observation 84101c34-1a00-4097-8274-febb1221a7c4 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Vip-deeplab: Learning visual perception with depth-aware video panoptic segmentation
Reference 31
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Observation df5c148a-98e0-4f3b-99f2-5d9e852b65b8 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Vi- sion transformers for dense prediction
Reference 32
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Observation deb6fa32-f4e9-4e2c-b59f-6428d4ef25e4 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer
Reference 33
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Observation f5c2dfb5-46f7-4abd-8f9d-10269a37413a · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild SAM 2: Segment Anything in Images and Videos
Reference 34
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Observation 17f2877a-dc9a-4789-9cb4-40077044d873 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild 360monodepth: High-resolution 360deg monocular depth estimation
Reference 35
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Observation 2c4ca27c-da8d-4f6f-8b34-dd09e22725a8 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild High-resolution image syn- thesis with latent diffusion models
Reference 36
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Observation f8a3a37e-8158-49fb-b46e-bec68a075878 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Amodalsynthdrive: A syn- thetic amodal perception dataset for autonomous driving
Reference 37
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Observation 0259dd5e-b6ae-4f21-88a3-741fd642479f · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild 3d photography using context-aware layered depth inpainting
Reference 38
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Observation 8e363586-3961-49de-96dc-dfc97e315930 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Alpha- clip: A clip model focusing on wherever you want
Reference 39
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Observation dbde0a15-b981-440c-a969-3b54a3aca7b2 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Bi- lateral propagation network for depth completion
Reference 40
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Observation e23055f4-e19d-4954-aee4-3aef8f6f5399 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Neural discrete representation learning
Reference 41
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Observation 2c49cbc6-af5d-4447-a353-55fd52b3c723 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Lrru: Long-short range recurrent updating networks for depth completion
Reference 42
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Observation e292411b-b142-4569-9450-53de19e6a1fa · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Improving depth completion via depth feature upsampling
Reference 43
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Observation f84b637e-d950-413f-879c-5513a796cf6b · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Tri- perspective view decomposition for geometry-aware depth completion
Reference 44
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Observation cea09e62-5f0c-458d-9086-83fb262d83a8 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Reference 45
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Amodal Depth Anything: Amodal Depth Estimation in the Wild Depth Anything V2
Reference 46
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Amodal Depth Anything: Amodal Depth Estimation in the Wild Amodal ground truth and completion in the wild
Reference 47
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Observation 50f6af20-4fb8-48a3-a137-5567ac45c65d · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Self-supervised scene de- occlusion
Reference 48
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Observation b4a181b9-430f-4b14-ab62-a2a62bcf6953 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Self-supervised scene de- occlusion
Reference 49
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Observation b3ac80e4-b287-479b-8b6b-071e8c007bb8 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Adding conditional control to text-to-image diffusion models
Reference 50
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Observation 7e9495f6-9dbe-4225-a839-9de651c3ea39 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Completionformer: Depth completion with convolutions and vision transform- ers
Reference 51
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Observation 68a651a0-e149-49d2-b6ad-cf371df963b8 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Unleashing text-to-image diffu- sion models for visual perception
Reference 52
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Observation 2d411630-0b9d-46a0-a1f5-3018cf1aa9c7 · outbound
Amodal Depth Anything: Amodal Depth Estimation in the Wild Semantic amodal segmentation
Reference 53
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No inbound Pith citation observations are available.