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Paper Citation Record · LEDGER

Amodal Depth Anything: Amodal Depth Estimation in the Wild

As of 15 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.

pith.paper-citation-record.v1
2412.02336 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:41:19.039697Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

53 of 53 outbound references displayed

  • verified exact0
  • verified fuzzy36
  • unresolved17
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 568ddef2-8939-4381-8790-4d23f612fcc5 · outbound

This paper cites Adabins: Depth estimation using adaptive bins.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Adabins: Depth estimation using adaptive bins

Reference 1

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Source-reported events for the cited work

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Observation a5cb5c40-d8bd-4635-b4d7-c8beabdadc6d · outbound

This paper cites Localbins: Improving depth estimation by learning local dis- tributions.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Localbins: Improving depth estimation by learning local dis- tributions

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4f41b969-6b09-41b9-b4f1-e08643ba51d1 · outbound

This paper cites ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth.

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

This paper cites Monocular Depth Estimation: A Survey.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Monocular Depth Estimation: A Survey

Reference 4

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Source-reported events for the cited work

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Observation 385f9245-b53e-42cb-8010-4485dd977944 · outbound

This paper cites MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation.

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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Unavailable: canonical work link unavailable.

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Observation e589a53c-4955-477a-b48f-baf45b19c794 · outbound

This paper cites Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e49e5705-c39b-4163-86d7-244fb4ae05b8 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

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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Source-reported events for the cited work

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Observation dbfc90d3-1acf-4a7a-a626-a570f48105f7 · outbound

This paper cites Segan: Segmenting and generating the invisible.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Segan: Segmenting and generating the invisible

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9d474a23-5b85-49e5-bb98-375cb5c51946 · outbound

This paper cites Depth map prediction from a single image using a multi-scale deep net- work.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 1ab9c3b8-91ac-47cf-a04d-6c0182cc3f1a · outbound

This paper cites Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting.

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

This paper cites Deep ordinal regression net- work for monocular depth estimation.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Deep ordinal regression net- work for monocular depth estimation

Reference 11

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Source-reported events for the cited work

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Observation c9968d0a-1715-443a-8ba4-cde2887a58c7 · outbound

This paper cites GeoBench: Benchmarking and Analyzing Monocular Geometry Estimation Models.

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

This paper cites DepthFM: Fast Monocular Depth Estimation with Flow Matching.

Amodal Depth Anything: Amodal Depth Estimation in the Wild DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 13

Resolution
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no resolver link, observed 2026-08-11T23:41:18.895234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a85d7573-1478-40bd-9b27-20f11659dde3 · outbound

This paper cites TAO-Amodal: A Benchmark for Tracking Any Object Amodally.

Amodal Depth Anything: Amodal Depth Estimation in the Wild TAO-Amodal: A Benchmark for Tracking Any Object Amodally

Reference 14

Resolution
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no resolver link, observed 2026-08-11T23:41:18.899072Z

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Unavailable: canonical work link unavailable.

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Observation 50c175b2-75e6-451c-8eb5-50738beec401 · outbound

This paper cites Slide: Single image 3d photography with soft layering and depth-aware inpainting.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Slide: Single image 3d photography with soft layering and depth-aware inpainting

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 1501c5ae-0d9f-4986-ad5a-74f515dbaa4a · outbound

This paper cites Occlusion- aware amodal depth estimation for enhancing 3d reconstruc- tion from a single image.

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

Resolution
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Source-reported events for the cited work

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Observation c5a414ee-6026-4acf-aba5-caec5fb5977d · outbound

This paper cites Amodal completion and size constancy in natural scenes.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Amodal completion and size constancy in natural scenes

Reference 17

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Source-reported events for the cited work

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Observation bd4d6a47-6372-424a-840b-b18c5896906d · outbound

This paper cites Repurpos- ing diffusion-based image generators for monocular depth estimation.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation cdefdced-23c2-434a-afb9-a61c2173b5ba · outbound

This paper cites Deep occlusion- aware instance segmentation with overlapping bilayers.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Deep occlusion- aware instance segmentation with overlapping bilayers

Reference 19

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Source-reported events for the cited work

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Observation 1c93811f-23eb-4b32-8b8e-e2850b6bfd36 · outbound

This paper cites Segment any- thing.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Segment any- thing

Reference 20

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Source-reported events for the cited work

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Observation 88ad989e-7016-4a0e-9c79-1422f4a9a2e8 · outbound

This paper cites Evp: Enhanced visual perception us- ing inverse multi-attentive feature refinement and regularized image-text alignment.

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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2d272bc5-3ec9-4edd-bc5f-e0bd503b71f5 · outbound

This paper cites BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation.

Amodal Depth Anything: Amodal Depth Estimation in the Wild BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation

Reference 22

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Source-reported events for the cited work

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Observation 7a5fc26d-4391-4516-bae9-8a507f76a8ae · outbound

This paper cites PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation.

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

This paper cites Depthformer: Exploiting long-range correlation and local in- formation for accurate monocular depth estimation.Machine Intelligence Research, pages 1–18, 2023.

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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Source-reported events for the cited work

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Observation 7354adb2-4206-45b6-a9cd-fe30ac212764 · outbound

This paper cites Humans as light bulbs: 3d hu- man reconstruction from thermal reflection.

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

This paper cites Single image depth estimation: An overview.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Single image depth estimation: An overview

Reference 26

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Source-reported events for the cited work

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Observation 5ade406d-82e6-41b9-b927-e5b790d1b26c · outbound

This paper cites pix2gestalt: Amodal segmentation by synthesizing wholes.

Amodal Depth Anything: Amodal Depth Estimation in the Wild pix2gestalt: Amodal segmentation by synthesizing wholes

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 78484278-d1c6-46d5-96cf-e236ce71b2f0 · outbound

This paper cites Unidepth: Universal monocular metric depth estimation.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Unidepth: Universal monocular metric depth estimation

Reference 28

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verified fuzzy
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Source-reported events for the cited work

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Observation f6033b34-25d5-465b-90e3-49506aa2549c · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

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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Source-reported events for the cited work

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Observation fd8598ff-8eef-4f02-8b89-2fdbf2140743 · outbound

This paper cites Amodal instance segmentation with kins dataset.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Amodal instance segmentation with kins dataset

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 84101c34-1a00-4097-8274-febb1221a7c4 · outbound

This paper cites Vip-deeplab: Learning visual perception with depth-aware video panoptic segmentation.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Vip-deeplab: Learning visual perception with depth-aware video panoptic segmentation

Reference 31

Resolution
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Source-reported events for the cited work

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Observation df5c148a-98e0-4f3b-99f2-5d9e852b65b8 · outbound

This paper cites Vi- sion transformers for dense prediction.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Vi- sion transformers for dense prediction

Reference 32

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Source-reported events for the cited work

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Observation deb6fa32-f4e9-4e2c-b59f-6428d4ef25e4 · outbound

This paper cites Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f5c2dfb5-46f7-4abd-8f9d-10269a37413a · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Amodal Depth Anything: Amodal Depth Estimation in the Wild SAM 2: Segment Anything in Images and Videos

Reference 34

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Source-reported events for the cited work

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Observation 17f2877a-dc9a-4789-9cb4-40077044d873 · outbound

This paper cites 360monodepth: High-resolution 360deg monocular depth estimation.

Amodal Depth Anything: Amodal Depth Estimation in the Wild 360monodepth: High-resolution 360deg monocular depth estimation

Reference 35

Resolution
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raw_fallback, observed 2026-08-11T23:41:19.397415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T23:41:18.974211Z digest=sha256:dba0cec5ecc929e15ead1361c1a70d0e367f595f7bc44afbdb5af42090a7d405

Observation 2c4ca27c-da8d-4f6f-8b34-dd09e22725a8 · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models.

Amodal Depth Anything: Amodal Depth Estimation in the Wild High-resolution image syn- thesis with latent diffusion models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T23:41:18.977857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:41:18.977857Z digest=sha256:b1e41e998521236b76b17fe1910d4b73b68bf67ef012cca45ba44138152aecba

Observation f8a3a37e-8158-49fb-b46e-bec68a075878 · outbound

This paper cites Amodalsynthdrive: A syn- thetic amodal perception dataset for autonomous driving.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Amodalsynthdrive: A syn- thetic amodal perception dataset for autonomous driving

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:41:19.380822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T23:41:18.981389Z digest=sha256:d37491faeb0ec47633773cdcb34ed0b6df698e363670fead07cc9f8bfe8c4bd2

Observation 0259dd5e-b6ae-4f21-88a3-741fd642479f · outbound

This paper cites 3d photography using context-aware layered depth inpainting.

Amodal Depth Anything: Amodal Depth Estimation in the Wild 3d photography using context-aware layered depth inpainting

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:41:19.370704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T23:41:18.984763Z digest=sha256:fa1090c24b86107b9a68d4f72463c6b332c0a547f66f44983b04d6e1b54f150d

Observation 8e363586-3961-49de-96dc-dfc97e315930 · outbound

This paper cites Alpha- clip: A clip model focusing on wherever you want.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Alpha- clip: A clip model focusing on wherever you want

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:41:19.360341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T23:41:18.988133Z digest=sha256:bf2e544035d85a2da990cd759afe2a9a69582c49df77cf18ff131ebbaaf9530c

Observation dbde0a15-b981-440c-a969-3b54a3aca7b2 · outbound

This paper cites Bi- lateral propagation network for depth completion.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Bi- lateral propagation network for depth completion

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:41:19.350541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T23:41:18.991638Z digest=sha256:928094ab7035f7a3a53226434c33336680bdce492a7adacb07d00d70fa85bc44

Observation e23055f4-e19d-4954-aee4-3aef8f6f5399 · outbound

This paper cites Neural discrete representation learning.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Neural discrete representation learning

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:41:19.339585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T23:41:18.995310Z digest=sha256:2ec7d014ed5f784325d773731153768f96ce74d1f39d82871e520fdf0f5df8eb

Observation 2c49cbc6-af5d-4447-a353-55fd52b3c723 · outbound

This paper cites Lrru: Long-short range recurrent updating networks for depth completion.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Lrru: Long-short range recurrent updating networks for depth completion

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:41:19.328893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T23:41:18.998923Z digest=sha256:d2406ddaf521a59423d9dffb948a86cc38597bd694ba1a2fe2942cd05a0a1bb3

Observation e292411b-b142-4569-9450-53de19e6a1fa · outbound

This paper cites Improving depth completion via depth feature upsampling.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Improving depth completion via depth feature upsampling

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:41:19.318258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T23:41:19.002447Z digest=sha256:9eab607567aa4dc2e6d34472a7565a0cee226513f4266aa7c153d05f96c22a68

Observation f84b637e-d950-413f-879c-5513a796cf6b · outbound

This paper cites Tri- perspective view decomposition for geometry-aware depth completion.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Tri- perspective view decomposition for geometry-aware depth completion

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:41:19.307499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T23:41:19.006341Z digest=sha256:88514df30c2e923c914586e265d03b5e4fb0b979a9bc390ac84f6c84392a645f

Observation cea09e62-5f0c-458d-9086-83fb262d83a8 · outbound

This paper cites Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T23:41:19.010134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:41:19.010134Z digest=sha256:7b3112f211b766595925ff57853ea6291ed9f871d3e6ac1c86f7461611f00ccd

Observation 999fb17f-bd72-4a01-becd-d28519495ee3 · outbound

This paper cites Depth Anything V2.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Depth Anything V2

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T23:41:19.014073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:41:19.014073Z digest=sha256:98c496f193b112f93d47a217d30c578e6b877432ce7bb6762c5c329df6776827

Observation 45254900-9a34-4b6e-b7ef-20ef85cbd27f · outbound

This paper cites Amodal ground truth and completion in the wild.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Amodal ground truth and completion in the wild

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:41:19.296834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T23:41:19.017922Z digest=sha256:1ab45c2d31701a2f7f0eff90265e5ba4381a4ffefa32aedd8bdd86f3ff305871

Observation 50f6af20-4fb8-48a3-a137-5567ac45c65d · outbound

This paper cites Self-supervised scene de- occlusion.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Self-supervised scene de- occlusion

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:41:19.285017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T23:41:19.021436Z digest=sha256:3a9b2d8b65fdff3f6a3ae46aea2cdff4607fa31b737293168c7009f5de7036d7

Observation b4a181b9-430f-4b14-ab62-a2a62bcf6953 · outbound

This paper cites Self-supervised scene de- occlusion.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Self-supervised scene de- occlusion

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:41:19.273149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T23:41:19.024842Z digest=sha256:f5c0f2b2a1e17f44c3cc4dd2e5272cbc5f349690f51864265c17fc0785731a55

Observation b3ac80e4-b287-479b-8b6b-071e8c007bb8 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Adding conditional control to text-to-image diffusion models

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:41:19.261563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T23:41:19.028382Z digest=sha256:fb98154472a58be1e6f70144bd12cce0fe6a45fbf8f372ad1d1a5bd5dfa77939

Observation 7e9495f6-9dbe-4225-a839-9de651c3ea39 · outbound

This paper cites Completionformer: Depth completion with convolutions and vision transform- ers.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Completionformer: Depth completion with convolutions and vision transform- ers

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:41:19.249870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T23:41:19.031902Z digest=sha256:3c80757ea23ffff07cd4daad469c23527935188df075541bb3a1072adaefd591

Observation 68a651a0-e149-49d2-b6ad-cf371df963b8 · outbound

This paper cites Unleashing text-to-image diffu- sion models for visual perception.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Unleashing text-to-image diffu- sion models for visual perception

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:41:19.238546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T23:41:19.036065Z digest=sha256:e4178d37edfc288307c37a7129161c6b9419941466d7f086454973a214ad1aa3

Observation 2d411630-0b9d-46a0-a1f5-3018cf1aa9c7 · outbound

This paper cites Semantic amodal segmentation.

Amodal Depth Anything: Amodal Depth Estimation in the Wild Semantic amodal segmentation

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:41:19.226380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T23:41:19.039697Z digest=sha256:db0f26c487f4570231c37d6be10686c5a317014b6690a5d136baf0c016c4dd52

Pith citing papers

No inbound Pith citation observations are available.