Paper Citation Record · LEDGER

Scalable Autoregressive Monocular Depth Estimation

As of 17 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 1 inbound Pith citation observation for arXiv:2411.11361.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.11361 v3

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

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measured 67 of 67 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:29:35.859282Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:29:39.797631Z

Reference resolution

66 of 66 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 837bad9d-7a2d-4126-9054-9780058b0308 · outbound

This paper cites GPT-4 Technical Report.

Scalable Autoregressive Monocular Depth Estimation GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

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Observation a65553cd-e988-4252-91b8-f2be52de87d3 · outbound

This paper cites Attention attention ev- erywhere: Monocular depth prediction with skip attention.

Scalable Autoregressive Monocular Depth Estimation Attention attention ev- erywhere: Monocular depth prediction with skip attention

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:10.298700Z

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Observation 4196f9d8-95cb-4e3b-9a1e-d48851cc28f5 · outbound

This paper cites Bidirectional attention network for monocular depth estimation.

Scalable Autoregressive Monocular Depth Estimation Bidirectional attention network for monocular depth estimation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:10.290692Z

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Observation 15a2bf82-5406-4c5c-9b6f-e23a780551ba · outbound

This paper cites AdaBins: Depth estimation using adaptive bins.

Scalable Autoregressive Monocular Depth Estimation AdaBins: Depth estimation using adaptive bins

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:10.282518Z

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Observation 206714a1-67ec-4b45-baf3-367baee98010 · outbound

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

Scalable Autoregressive Monocular Depth Estimation LocalBins: Improving depth estimation by learning local dis- tributions

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:10.273584Z

Source-reported events for the cited work

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Observation dc5591f3-c46a-4753-8bb1-a4c0f808f07e · outbound

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

Scalable Autoregressive Monocular Depth Estimation ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Reference 6

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Source-reported events for the cited work

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Observation e8368460-152b-43ae-b146-cef7c59bb067 · outbound

This paper cites Language Models are Few-Shot Learners.

Scalable Autoregressive Monocular Depth Estimation Language Models are Few-Shot Learners

Reference 7

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Source-reported events for the cited work

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Observation b8cb8fdf-077f-4bac-8ec1-635f0080d77a · outbound

This paper cites On the robustness of language guidance for low-level vision tasks: Findings from depth estimation.

Scalable Autoregressive Monocular Depth Estimation On the robustness of language guidance for low-level vision tasks: Findings from depth estimation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:10.265054Z

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Observation 68a5b6ed-5c53-44af-82ce-8a26746acd36 · outbound

This paper cites Towards scene understanding: Un- supervised monocular depth estimation with semantic-aware representation.

Scalable Autoregressive Monocular Depth Estimation Towards scene understanding: Un- supervised monocular depth estimation with semantic-aware representation

Reference 9

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Observation 4a671eec-b8e8-4023-a267-bf2c34c54169 · outbound

This paper cites Pix2seq: A Language Modeling Framework for Object Detection.

Scalable Autoregressive Monocular Depth Estimation Pix2seq: A Language Modeling Framework for Object Detection

Reference 10

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Source-reported events for the cited work

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Observation a2d7b468-e158-4046-8e38-6109f0fe3862 · outbound

This paper cites DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation.

Scalable Autoregressive Monocular Depth Estimation DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T18:44:09.464575Z

Source-reported events for the cited work

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Observation 79e91b4e-f87b-4ec2-b7d1-b67fc44fab9b · outbound

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

Scalable Autoregressive Monocular Depth Estimation Depth map prediction from a single image using a multi-scale deep net- work

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:10.248274Z

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Observation eade2a48-43f4-4b72-b196-37c6bde8093a · outbound

This paper cites Taming Transformers for high-resolution image synthesis.

Scalable Autoregressive Monocular Depth Estimation Taming Transformers for high-resolution image synthesis

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:10.239754Z

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Observation 737c379b-6e2c-4169-b2a4-0702697d2758 · outbound

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

Scalable Autoregressive Monocular Depth Estimation Deep ordinal regression net- work for monocular depth estimation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:10.231203Z

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Observation aaaa6d9a-b57d-41c3-aea3-c9e058a89743 · outbound

This paper cites Are we ready for autonomous driving? the KITTI vision benchmark suite.

Scalable Autoregressive Monocular Depth Estimation Are we ready for autonomous driving? the KITTI vision benchmark suite

Reference 15

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Observation 9e323338-b69c-46e0-8d73-1aa90892c57d · outbound

This paper cites Regression modeling strategies.

Scalable Autoregressive Monocular Depth Estimation Regression modeling strategies

Reference 16

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Observation 2bb486a0-7560-4380-a734-ef781e50f098 · outbound

This paper cites Scaling Laws for Autoregressive Generative Modeling.

Scalable Autoregressive Monocular Depth Estimation Scaling Laws for Autoregressive Generative Modeling

Reference 17

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Observation 9aeadf5a-123e-4406-9810-653d9931f9ff · outbound

This paper cites Sup- port vector learning for ordinal regression.

Scalable Autoregressive Monocular Depth Estimation Sup- port vector learning for ordinal regression

Reference 18

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Source-reported events for the cited work

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Observation 005b9aa4-b0ca-4b00-a7ab-613b8dd1b82f · outbound

This paper cites Training Compute-Optimal Large Language Models.

Scalable Autoregressive Monocular Depth Estimation Training Compute-Optimal Large Language Models

Reference 19

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Observation 8e6327da-876c-491b-946a-d3742c3efc18 · outbound

This paper cites Recov- ering surface layout from an image.

Scalable Autoregressive Monocular Depth Estimation Recov- ering surface layout from an image

Reference 20

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Observation 917807be-c9ce-4196-8449-ac466999c0e6 · outbound

This paper cites KinectFusion: Real-time 3D reconstruction and in- teraction using a moving depth camera.

Scalable Autoregressive Monocular Depth Estimation KinectFusion: Real-time 3D reconstruction and in- teraction using a moving depth camera

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:10.191180Z

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Observation ca806dea-ab81-44b6-9f83-8e68b3218e07 · outbound

This paper cites DDP: Diffusion model for dense visual prediction.

Scalable Autoregressive Monocular Depth Estimation DDP: Diffusion model for dense visual prediction

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:10.182169Z

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Observation 5b8f50da-f4a4-4c58-9482-1b1f8fe43eb3 · outbound

This paper cites Object servoing of differential-drive service robots us- ing switched control.

Scalable Autoregressive Monocular Depth Estimation Object servoing of differential-drive service robots us- ing switched control

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:10.173627Z

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Observation 37717d5d-7c32-4dc8-94df-987ba114d2cb · outbound

This paper cites Scaling Laws for Neural Language Models.

Scalable Autoregressive Monocular Depth Estimation Scaling Laws for Neural Language Models

Reference 24

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Source-reported events for the cited work

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Observation 3bfe2c3f-5ec4-4f9b-9f4b-e5371ce0052b · outbound

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

Scalable Autoregressive Monocular Depth Estimation Repurpos- ing diffusion-based image generators for monocular depth estimation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:10.165041Z

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Observation cee0d6bd-a45b-48b0-a07b-4bbaf07b915f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Scalable Autoregressive Monocular Depth Estimation Adam: A Method for Stochastic Optimization

Reference 26

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Observation 96ba9228-63d3-40a2-b8ed-bd851a8d9eb9 · outbound

This paper cites Deeper depth prediction with fully convolutional residual networks.

Scalable Autoregressive Monocular Depth Estimation Deeper depth prediction with fully convolutional residual networks

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:10.156283Z

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Observation 1e7a2dbd-7918-4354-9299-068c9cd95237 · outbound

This paper cites Autoregressive image generation using residual quantization.

Scalable Autoregressive Monocular Depth Estimation Autoregressive image generation using residual quantization

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:10.148402Z

Source-reported events for the cited work

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Observation e35893ef-3bd8-4df0-b9b1-fcbc96f3e1ef · outbound

This paper cites From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation.

Scalable Autoregressive Monocular Depth Estimation From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 29

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Observation eb06e7bd-4c71-468b-a5a9-72b5149e2aa6 · outbound

This paper cites Monocular depth es- timation using relative depth maps.

Scalable Autoregressive Monocular Depth Estimation Monocular depth es- timation using relative depth maps

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:10.139815Z

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Observation 34712dd4-5d26-4653-8cd2-bef8e2817f9d · outbound

This paper cites DepthFormer: Exploiting long-range correlation and local information for accurate monocular depth estimation.

Scalable Autoregressive Monocular Depth Estimation DepthFormer: Exploiting long-range correlation and local information for accurate monocular depth estimation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:10.130818Z

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Observation 17f13b6f-9dad-47bd-8e54-bc427941a9f0 · outbound

This paper cites BinsFormer: Revisiting adaptive bins for monocular depth estimation.

Scalable Autoregressive Monocular Depth Estimation BinsFormer: Revisiting adaptive bins for monocular depth estimation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:10.121984Z

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Observation 005fa29d-c8c5-4805-ada3-4f325ec702a2 · outbound

This paper cites VA-DepthNet: A Variational Approach to Single Image Depth Prediction.

Scalable Autoregressive Monocular Depth Estimation VA-DepthNet: A Variational Approach to Single Image Depth Prediction

Reference 33

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Observation 1c74e53a-8dd7-4c66-a291-803f242a6eb8 · outbound

This paper cites SIFT Flow: Dense correspondence across different scenes.

Scalable Autoregressive Monocular Depth Estimation SIFT Flow: Dense correspondence across different scenes

Reference 34

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Observation ecca8069-17c5-4268-8dfc-1239525ed55f · outbound

This paper cites Visual instruction tuning.

Scalable Autoregressive Monocular Depth Estimation Visual instruction tuning

Reference 35

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Observation 85cb2522-c607-4fa6-b2d4-5dd75fa3d4c8 · outbound

This paper cites Dense depth estimation in monocular endoscopy with self- supervised learning methods.

Scalable Autoregressive Monocular Depth Estimation Dense depth estimation in monocular endoscopy with self- supervised learning methods

Reference 36

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Observation 9b3f39b8-58c9-48b3-8ba3-092ad20f3956 · outbound

This paper cites Eval- uation of gaze depth estimation from eye tracking in aug- mented reality.

Scalable Autoregressive Monocular Depth Estimation Eval- uation of gaze depth estimation from eye tracking in aug- mented reality

Reference 37

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Observation b4f0087c-9a86-4ffd-a113-68f78cfaefa9 · outbound

This paper cites P3Depth: Monocular depth estimation with a piecewise planarity prior.

Scalable Autoregressive Monocular Depth Estimation P3Depth: Monocular depth estimation with a piecewise planarity prior

Reference 38

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Observation 245ab7a2-6fe6-4b5e-9f77-d9b846ceaa0a · outbound

This paper cites ECoDepth: Effective conditioning of diffusion models for monocular depth estimation.

Scalable Autoregressive Monocular Depth Estimation ECoDepth: Effective conditioning of diffusion models for monocular depth estimation

Reference 39

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Observation 50fa48c4-91b6-4129-94a3-c82c1b8ab41d · outbound

This paper cites iDisc: Internal discretization for monocular depth estimation.

Scalable Autoregressive Monocular Depth Estimation iDisc: Internal discretization for monocular depth estimation

Reference 40

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Observation 22747547-a2d4-4810-93a0-c8a0335e5801 · outbound

This paper cites Improving language understanding by gener- ative pre-training.

Scalable Autoregressive Monocular Depth Estimation Improving language understanding by gener- ative pre-training

Reference 41

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Observation 34a0bb96-a48a-4830-8abb-74ff0d9970db · outbound

This paper cites Language models are unsu- pervised multitask learners.

Scalable Autoregressive Monocular Depth Estimation Language models are unsu- pervised multitask learners

Reference 42

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Observation 37e02bb1-f21a-4692-8101-d6d9981e357e · outbound

This paper cites Vi- sion Transformers for dense prediction.

Scalable Autoregressive Monocular Depth Estimation Vi- sion Transformers for dense prediction

Reference 43

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Observation a6975c70-4bf7-4ded-8592-eb73ae2b6239 · outbound

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

Scalable Autoregressive Monocular Depth Estimation Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:10.036618Z

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Observation 32ff1baf-bc5b-470c-bed1-39f4ca703632 · outbound

This paper cites Gen- erating diverse high-fidelity images with VQ-V AE-2.

Scalable Autoregressive Monocular Depth Estimation Gen- erating diverse high-fidelity images with VQ-V AE-2

Reference 45

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Observation 9675eb51-0382-4c02-aa14-d16b70c9de2c · outbound

This paper cites Learning 3-D scene structure from a single still image.

Scalable Autoregressive Monocular Depth Estimation Learning 3-D scene structure from a single still image

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:10.019555Z

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Observation 11c01a43-10a8-4122-bba0-e39e8afd6209 · outbound

This paper cites Monocular Depth Estimation using Diffusion Models.

Scalable Autoregressive Monocular Depth Estimation Monocular Depth Estimation using Diffusion Models

Reference 47

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Observation bf5fcb37-4cf0-4658-9331-86e7ee15fa75 · outbound

This paper cites NDDepth: Normal-distance as- sisted monocular depth estimation.

Scalable Autoregressive Monocular Depth Estimation NDDepth: Normal-distance as- sisted monocular depth estimation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:10.011365Z

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Observation 08558df9-e03f-4de5-850c-5d4434ffbc9b · outbound

This paper cites IEBins: Iterative elastic bins for monocular depth estimation.

Scalable Autoregressive Monocular Depth Estimation IEBins: Iterative elastic bins for monocular depth estimation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:10.002752Z

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Observation b65ccccb-61e2-499d-bc83-9fd9558ee051 · outbound

This paper cites Indoor segmentation and support inference from RGBD images.

Scalable Autoregressive Monocular Depth Estimation Indoor segmentation and support inference from RGBD images

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:09.994574Z

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Observation 892ad8b2-fcfd-43f4-a389-5763fefe3d59 · outbound

This paper cites SUN RGB-D: A RGB-D scene understanding benchmark suite.

Scalable Autoregressive Monocular Depth Estimation SUN RGB-D: A RGB-D scene understanding benchmark suite

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:09.986266Z

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Observation c28601cf-46d0-433d-8ce0-049a647e6ace · outbound

This paper cites RAFT: Recurrent all-pairs field transforms for optical flow.

Scalable Autoregressive Monocular Depth Estimation RAFT: Recurrent all-pairs field transforms for optical flow

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:09.978153Z

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Observation cc43aae7-39bb-4629-96d8-afb93eca91c7 · outbound

This paper cites Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction.

Scalable Autoregressive Monocular Depth Estimation Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

Reference 53

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Observation 81e70ecb-ec35-441d-84b4-3bfe0c9321b8 · outbound

This paper cites Neural discrete representation learning.

Scalable Autoregressive Monocular Depth Estimation Neural discrete representation learning

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:09.970987Z

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Observation 6edfb787-9368-49a9-8b81-d29a9272e7e8 · outbound

This paper cites Attention is all you need.

Scalable Autoregressive Monocular Depth Estimation Attention is all you need

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:09.963319Z

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Observation c53bfd38-d5ca-4107-881e-4f7d70bbe98c · outbound

This paper cites Ord2Seq: Regarding ordinal regression as label sequence prediction.

Scalable Autoregressive Monocular Depth Estimation Ord2Seq: Regarding ordinal regression as label sequence prediction

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:09.956018Z

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Observation e1c5b6bd-6f91-4e3e-a53b-db966858b02b · outbound

This paper cites DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain.

Scalable Autoregressive Monocular Depth Estimation DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain

Reference 57

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This paper cites Pseudo- LiDAR from visual depth estimation: Bridging the gap in 3D object detection for autonomous driving.

Scalable Autoregressive Monocular Depth Estimation Pseudo- LiDAR from visual depth estimation: Bridging the gap in 3D object detection for autonomous driving

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:09.947072Z

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This paper cites Autoregressive visual tracking.

Scalable Autoregressive Monocular Depth Estimation Autoregressive visual tracking

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:09.937267Z

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Observation 8a5bf061-3e47-4b14-9953-4e20c67caeb4 · outbound

This paper cites N ¨UW A: Visual synthesis pre- training for neural visual world creation.

Scalable Autoregressive Monocular Depth Estimation N ¨UW A: Visual synthesis pre- training for neural visual world creation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:09.928334Z

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Observation 27b4f3e0-3efa-4cc0-9f08-0bf4b9e80a05 · outbound

This paper cites VideoGPT: Video Generation using VQ-VAE and Transformers.

Scalable Autoregressive Monocular Depth Estimation VideoGPT: Video Generation using VQ-VAE and Transformers

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T18:44:09.709020Z

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Observation 263db75e-2272-4fa1-badf-d3f5a8c54d62 · outbound

This paper cites Transformer-based attention networks for continuous pixel-wise prediction.

Scalable Autoregressive Monocular Depth Estimation Transformer-based attention networks for continuous pixel-wise prediction

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:09.918342Z

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Observation d720f2d4-ce89-4987-be37-cca68d3c48f5 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

Scalable Autoregressive Monocular Depth Estimation Depth anything: Unleashing the power of large-scale unlabeled data

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:09.909126Z

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Observation 5c360f7d-53c3-47a0-aaf7-ebbd7171ad1b · outbound

This paper cites NeW CRFs: Neural window fully-connected CRFs for monocular depth estimation.

Scalable Autoregressive Monocular Depth Estimation NeW CRFs: Neural window fully-connected CRFs for monocular depth estimation

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:09.899727Z

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Observation b58fe627-7a06-4360-8f66-cfb3d19c89d4 · outbound

This paper cites WorDepth: Vari- ational language prior for monocular depth estimation.

Scalable Autoregressive Monocular Depth Estimation WorDepth: Vari- ational language prior for monocular depth estimation

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:09.891190Z

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Observation 233303e3-4c33-4eb8-8d72-074675690753 · outbound

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

Scalable Autoregressive Monocular Depth Estimation Unleashing text-to-image diffu- sion models for visual perception

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:44:09.881933Z

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Pith citing papers

Observation 4feb6e1f-6303-4379-97cb-fd35667a86ae · inbound

ER-LoRA: Effective-Rank Guided Adaptation for Weather-Generalized Depth Estimation cites this paper.

ER-LoRA: Effective-Rank Guided Adaptation for Weather-Generalized Depth Estimation Scalable Autoregressive Monocular Depth Estimation

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:29:39.878897Z

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