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Paper Citation Record · LEDGER

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations

As of 22 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.04101.

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

pith.paper-citation-record.v1
2607.04101 v1

Coverage vector

measured 45 of 45 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-11T21:42:00.898441Z

measured 45 of 45 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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45 of 45 outbound references displayed

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Outbound references

Observation 94c48550-ff7c-4cf8-8982-44929e05680d · outbound

This paper cites Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer

Reference 1

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Observation 89697aa5-fdf0-430c-a0b5-bf4e7428ecf4 · outbound

This paper cites Vision Transformers for Dense Prediction.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Vision Transformers for Dense Prediction

Reference 2

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Observation 9acb56d6-718c-4279-80a8-190de54747c4 · outbound

This paper cites Depth Anything V2.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Depth Anything V2

Reference 3

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Observation 149d7f26-e6e5-4102-9625-f32dc968fb8d · outbound

This paper cites Monocular Visual-Inertial Depth Estimation.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Monocular Visual-Inertial Depth Estimation

Reference 4

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Observation 614e0088-b883-43b1-9838-481ba463c2ec · outbound

This paper cites Recovering dense metric depth in indoor scenes from monocular depth foundation models and 2D LiDARs,.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Recovering dense metric depth in indoor scenes from monocular depth foundation models and 2D LiDARs,

Reference 5

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Observation e730a16a-69a3-495f-be2c-f76b5a1aa4d5 · outbound

This paper cites Prompting depth anything for 4k resolution accurate metric depth estimation,.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Prompting depth anything for 4k resolution accurate metric depth estimation,

Reference 6

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Observation 52bf2e86-fd80-4b46-8b37-67d1c61f38fa · outbound

This paper cites Depth Anything with Any Prior.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Depth Anything with Any Prior

Reference 7

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Observation c4ed1f99-5d98-4c20-a273-4c4dbb2a74a3 · outbound

This paper cites Sparse-LiDAR Prompting of Monocular Geometry Foundations: An Empirical Study Toward Long-Range Driving Depth.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Sparse-LiDAR Prompting of Monocular Geometry Foundations: An Empirical Study Toward Long-Range Driving Depth

Reference 8

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Observation 798e482e-a7b7-4f32-83d6-5fff8b74d9ac · outbound

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

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Reference 9

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Observation e2167616-e7bb-4cc2-929a-aeb7d919548a · outbound

This paper cites Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

Reference 10

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Observation 244d644e-b063-475b-a9f2-570d528b272d · outbound

This paper cites MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details

Reference 11

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Observation 8e84e698-6bd2-4c93-9508-35e448553566 · outbound

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

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Reference 12

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Observation c9d41328-1dad-48bc-991c-8b737a52c2d7 · outbound

This paper cites Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image

Reference 13

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Observation 5ecf5f79-99ac-4a2b-9333-0bfe260a2ac1 · outbound

This paper cites Depth Map Prediction from a Single Image using a Multi-Scale Deep Network.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

Reference 14

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Observation 853d9a84-1249-43dc-8df8-ce310482c629 · outbound

This paper cites Deep Ordinal Regression Network for Monocular Depth Estimation.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Deep Ordinal Regression Network for Monocular Depth Estimation

Reference 15

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Observation eea00bca-9a9e-4203-a417-f9412ef39471 · outbound

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

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 16

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Observation e88187eb-026e-4744-876b-ddf24819efd3 · outbound

This paper cites AdaBins: Depth Estimation using Adaptive Bins.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations AdaBins: Depth Estimation using Adaptive Bins

Reference 17

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Observation b85c0b9c-71f5-45bf-9029-6c3e9272ed78 · outbound

This paper cites NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation

Reference 18

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Observation 34ccdbb0-24a2-4d4b-b461-850b9a4548d2 · outbound

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

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Reference 19

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Observation 64e08203-b148-4266-a89f-6ac4b34fa9ef · outbound

This paper cites A rank-invariant method of linear and polynomial regression analysis,.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations A rank-invariant method of linear and polynomial regression analysis,

Reference 20

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Observation b76eee98-f99f-44cd-b120-9ef30fb3e1d7 · outbound

This paper cites Estimates of the regression coefficient based on kendall’s tau,.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Estimates of the regression coefficient based on kendall’s tau,

Reference 21

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Observation af2d0198-02f4-4817-a365-d95a6a21b2b2 · outbound

This paper cites Least median of squares regression,.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Least median of squares regression,

Reference 22

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Observation d8847864-5f7f-45bc-a7a6-a8f44fcde83c · outbound

This paper cites Robust estimation of a location parameter,.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Robust estimation of a location parameter,

Reference 23

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Observation 716120a1-36a4-4f61-9d50-64f2939e5777 · outbound

This paper cites Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography,.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography,

Reference 24

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Observation db03ee46-f59c-4a3e-85c0-f07378b7cd0a · outbound

This paper cites Mlesac: A new robust estimator with application to estimating image geometry,.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Mlesac: A new robust estimator with application to estimating image geometry,

Reference 25

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Observation b893d117-0c89-4e4e-a4d2-80b33a41b14f · outbound

This paper cites Hartley and A.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Hartley and A

Reference 26

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Observation 3ebaae71-9817-407f-a68c-f975f915e5a2 · outbound

This paper cites Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image

Reference 27

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Observation ab229aef-ca8c-4590-9c82-01761aaeedfc · outbound

This paper cites Self-supervised sparse-to-dense: Self- supervised depth completion from lidar and monocular camera,.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Self-supervised sparse-to-dense: Self- supervised depth completion from lidar and monocular camera,

Reference 28

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Observation b868db70-dcc6-4dea-9d37-ff8f738caf00 · outbound

This paper cites Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network

Reference 29

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Observation 57f468e5-03b7-4608-b2c3-645856ecd682 · outbound

This paper cites Non-Local Spatial Propagation Network for Depth Completion.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Non-Local Spatial Propagation Network for Depth Completion

Reference 30

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Observation c35f4e2b-df0d-4954-b8d6-2d2f40237661 · outbound

This paper cites Learning guided convolutional network for depth completion,.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Learning guided convolutional network for depth completion,

Reference 31

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Observation 5b70f346-c8b7-4557-8989-780caa26dd2e · outbound

This paper cites Penet: Towards precise and efficient image guided depth completion,.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Penet: Towards precise and efficient image guided depth completion,

Reference 32

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Observation 9c8581b9-fa32-4d13-aabe-3536304252b9 · outbound

This paper cites CompletionFormer: Depth Completion with Convolutions and Vision Transformers.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations CompletionFormer: Depth Completion with Convolutions and Vision Transformers

Reference 33

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Observation 127b229a-b8d4-4337-a690-9e8c22dd348b · outbound

This paper cites Bilateral Propagation Network for Depth Completion.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Bilateral Propagation Network for Depth Completion

Reference 34

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Observation 64d33643-16b1-4855-a4f0-0e6160c9c05b · outbound

This paper cites Unsupervised Depth Completion with Calibrated Backprojection Layers.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Unsupervised Depth Completion with Calibrated Backprojection Layers

Reference 35

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Observation 0262776d-c71c-4990-8c27-06cdcd0cc93b · outbound

This paper cites Analysis and removal of artifacts in 3-D LADAR data,.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Analysis and removal of artifacts in 3-D LADAR data,

Reference 36

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Observation 5773e08e-fc60-4d72-ac47-3bc9b6e78ba3 · outbound

This paper cites 3D measurements from imaging laser radars: How good are they?.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations 3D measurements from imaging laser radars: How good are they?

Reference 37

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Observation 286350dd-c2c0-4b51-99e1-d17cfefddfe1 · outbound

This paper cites Multipath interference compensation in time-of-flight camera images,.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Multipath interference compensation in time-of-flight camera images,

Reference 38

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Observation 46319c2a-dc5c-4c83-bbce-9faa373e29af · outbound

This paper cites Hansard, S.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Hansard, S

Reference 39

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Observation 6bc4108d-8d16-4f0d-b46a-93520a23b757 · outbound

This paper cites Understanding and ameliorating mixed pixels and multipath interference in AMCW lidar,.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Understanding and ameliorating mixed pixels and multipath interference in AMCW lidar,

Reference 40

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Observation 0b0aa789-1cf0-4fcd-889b-fcaadd1e14d4 · outbound

This paper cites Indoor segmentation and support inference from rgbd images,.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Indoor segmentation and support inference from rgbd images,

Reference 41

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Observation 0e8b6584-83e0-4238-a85d-45a84b347059 · outbound

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

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 42

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Observation 0a64862a-4d57-4c32-87ce-dcf36d10dd91 · outbound

This paper cites Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue

Reference 43

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Observation ff4da224-70b5-4c56-8c55-9a76d678eb0f · outbound

This paper cites DIODE: A Dense Indoor and Outdoor DEpth Dataset.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations DIODE: A Dense Indoor and Outdoor DEpth Dataset

Reference 44

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Observation a1c48cf1-4015-449f-b95b-04a36a8f679e · outbound

This paper cites Sun rgb-d: A rgb-d scene understanding benchmark suite,.

The Multipath Blind Spot: $K$-Agnostic Robust Calibration for Sparse-Anchor Metric Depth from Frozen Foundations Sun rgb-d: A rgb-d scene understanding benchmark suite,

Reference 45

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Pith citing papers

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