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Paper Citation Record · LEDGER

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2607.24852.

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

pith.paper-citation-record.v1
2607.24852 v3

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:36:14.036372Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:57:37.231701Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

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Outbound references

Observation a49c366c-65b2-45ee-b10e-896815a062f6 · outbound

This paper cites Parallel tracking and mapping for small AR workspaces,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits Parallel tracking and mapping for small AR workspaces,

Reference 1

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Observation 42977c20-3963-4c5e-b9cd-339a667a2c26 · outbound

This paper cites ORB-SLAM: A versatile and accurate monocular SLAM system,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits ORB-SLAM: A versatile and accurate monocular SLAM system,

Reference 2

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Observation 6c227dab-d7e4-4386-a910-3d6a1b0fd03f · outbound

This paper cites Direct sparse odometry,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits Direct sparse odometry,

Reference 3

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Observation 28ba13b5-bda7-4c1a-a24a-ff58cc2dfa4b · outbound

This paper cites A multi-view stereo benchmark with high- resolution images and multi-camera videos,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits A multi-view stereo benchmark with high- resolution images and multi-camera videos,

Reference 4

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Observation f25643aa-08a7-4b05-ab1c-927eab65e913 · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits Tanks and temples: Benchmarking large-scale scene reconstruction,

Reference 5

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Observation a4dbf256-d15a-4f53-b420-05cad6a97c43 · outbound

This paper cites Large- scale data for multiple-view stereopsis,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits Large- scale data for multiple-view stereopsis,

Reference 6

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Observation c5f60a0a-16ff-4d0f-82c4-99735019141d · outbound

This paper cites Image matching across wide baselines: From paper to practice,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits Image matching across wide baselines: From paper to practice,

Reference 7

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Observation 40477a98-f7e3-4173-93c7-e34e0e9f2ae4 · outbound

This paper cites ISPRS benchmark for multi-platform photogrammetry,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits ISPRS benchmark for multi-platform photogrammetry,

Reference 8

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Observation 2c11930a-b699-496a-8a3e-39480f70b118 · outbound

This paper cites UseGeo – a UA V-based multi-sensor dataset for geospatial research,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits UseGeo – a UA V-based multi-sensor dataset for geospatial research,

Reference 9

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Observation 5df79cfc-95e4-46ed-8007-fe11ffddce43 · outbound

This paper cites The Hessigheim 3D (H3D) benchmark on semantic segmentation of high-resolution 3D point clouds and textured meshes from UA V lidar and multi-view-stereo,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits The Hessigheim 3D (H3D) benchmark on semantic segmentation of high-resolution 3D point clouds and textured meshes from UA V lidar and multi-view-stereo,

Reference 10

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Observation 9b0d6c37-448c-46a8-8fae-a1b33c10dd0d · outbound

This paper cites Look Ma, No Ground Truth! Ground-Truth-Free Tuning of Structure from Motion and Visual SLAM.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits Look Ma, No Ground Truth! Ground-Truth-Free Tuning of Structure from Motion and Visual SLAM

Reference 11

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Observation 38d9100e-7078-4549-b34f-a8b063f9cbc1 · outbound

This paper cites RayZer: A Self-supervised Large View Synthesis Model.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits RayZer: A Self-supervised Large View Synthesis Model

Reference 12

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Observation e0de7de0-b9d5-40e2-9ef2-9487abf3dff7 · outbound

This paper cites E-RayZer: Self-supervised 3D reconstruction as spatial visual pre-training,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits E-RayZer: Self-supervised 3D reconstruction as spatial visual pre-training,

Reference 13

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Observation b3cac5f5-88de-4663-9cc3-bee948f4474f · outbound

This paper cites Benchmarking 6DOF outdoor visual localization in changing condi- tions,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits Benchmarking 6DOF outdoor visual localization in changing condi- tions,

Reference 14

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Observation afa8c4a5-225b-436c-847f-650d4b132a67 · outbound

This paper cites Are large-scale 3d models really necessary for accurate visual localization?.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits Are large-scale 3d models really necessary for accurate visual localization?

Reference 15

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Observation c8bfc081-2420-4b4b-892c-fc8d7592980e · outbound

This paper cites Camera pose voting for large- scale image-based localization,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits Camera pose voting for large- scale image-based localization,

Reference 16

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Observation 6191efa1-a335-49ce-817a-f74dbef44ddd · outbound

This paper cites PoseNet: A convolutional network for real-time 6-DOF camera relocalization,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits PoseNet: A convolutional network for real-time 6-DOF camera relocalization,

Reference 17

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Observation b5e5409d-a24d-49ae-a753-e529319857de · outbound

This paper cites From coarse to fine: Robust hierarchical localization at large scale,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits From coarse to fine: Robust hierarchical localization at large scale,

Reference 18

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Observation 10de3f41-8317-4ef2-8c13-7821f7fcbca8 · outbound

This paper cites Back to the feature: Learning robust camera localization from pixels to pose,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits Back to the feature: Learning robust camera localization from pixels to pose,

Reference 19

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Observation b55c622c-aac7-4e26-b084-3d4f74929ebf · outbound

This paper cites DSAC — differentiable RANSAC for camera local- ization,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits DSAC — differentiable RANSAC for camera local- ization,

Reference 20

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Observation 5bd8d13c-a74d-4814-9d73-643a68c9e8fc · outbound

This paper cites What uncertainties do we need in Bayesian deep learning for computer vision?.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits What uncertainties do we need in Bayesian deep learning for computer vision?

Reference 21

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Observation 44adc7a3-e968-4019-9630-86d439dd811e · outbound

This paper cites Baarda,A Testing Procedure for Use in Geodetic Networks, ser.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits Baarda,A Testing Procedure for Use in Geodetic Networks, ser

Reference 22

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Observation 65fc4b78-9883-404c-ad47-4f788afa9e1a · outbound

This paper cites Reliability analysis of parameter estimation in linear models with applications to mensuration problems in computer vision,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits Reliability analysis of parameter estimation in linear models with applications to mensuration problems in computer vision,

Reference 23

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Observation e5c3bda7-769d-434a-ac63-c41ea4fd1d8d · outbound

This paper cites Bundle adjustment — a modern synthesis,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits Bundle adjustment — a modern synthesis,

Reference 24

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Observation 440abbfd-1b82-4ac2-b4ba-dd351f13159c · outbound

This paper cites Scale drift-aware large scale monocular SLAM,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits Scale drift-aware large scale monocular SLAM,

Reference 25

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Observation ad60119b-4e0d-4a52-9616-612661dded6f · outbound

This paper cites On-manifold preintegration for real-time visual-inertial odometry,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits On-manifold preintegration for real-time visual-inertial odometry,

Reference 26

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Observation 714b9e26-ebfa-4cb9-bc83-95829c81064e · outbound

This paper cites An assessment of information criteria for motion model selection,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits An assessment of information criteria for motion model selection,

Reference 27

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Observation 3d1b2cae-a098-4d23-a8f1-b04be95fb6e2 · outbound

This paper cites RANSAC for (quasi-)degenerate data (QDEGSAC),.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits RANSAC for (quasi-)degenerate data (QDEGSAC),

Reference 28

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This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits Simple and scalable predictive uncertainty estimation using deep ensembles,

Reference 29

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Observation 21e66665-7daf-438b-87fb-0c16ca3278ae · outbound

This paper cites A novel parametrization of the perspective-three-point problem for a direct computation of absolute camera position and orientation,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits A novel parametrization of the perspective-three-point problem for a direct computation of absolute camera position and orientation,

Reference 30

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Observation e115d7dc-2dd4-4cca-8bd9-c0ba6bfcd3ee · outbound

This paper cites Epnp: An accurate o(n) solution to the pnp problem,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits Epnp: An accurate o(n) solution to the pnp problem,

Reference 31

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Observation 59df8812-41aa-4dc1-9263-2c6020c71422 · outbound

This paper cites Reconstructing the world* in six days *(as captured by the yahoo 100 million image dataset),.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits Reconstructing the world* in six days *(as captured by the yahoo 100 million image dataset),

Reference 32

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Observation 6d53c4df-e7dd-4497-9349-780e94bb44f0 · outbound

This paper cites Least-squares estimation of transformation parameters between two point patterns,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits Least-squares estimation of transformation parameters between two point patterns,

Reference 33

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Observation e7b5adf0-74f5-4312-868d-cec6011e21b4 · outbound

This paper cites Structure-from-motion revisited,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits Structure-from-motion revisited,

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Observation 1a5a27d9-5408-42fe-a2e5-9c72ad585f6c · outbound

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

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits Are we ready for autonomous driving? The KITTI vision benchmark suite,

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This paper cites Vision meets robotics: The KITTI dataset,.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits Vision meets robotics: The KITTI dataset,

Reference 36

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Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits cites this paper.

Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits Track-Leakage-Free Hold-Out Self-Validation for Photogrammetric Reconstruction: Protocol, Sensitivity, and Limits

Reference 8

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