Paper Citation Record · LEDGER

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2505.10696.

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

pith.paper-citation-record.v1
2505.10696 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:26:54.456661Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-06T02:27:45.561903Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e13a40f9-f3dd-436e-9f4c-939543d79c49 · inbound

cuVSLAM: CUDA accelerated visual odometry and mapping cites this paper.

cuVSLAM: CUDA accelerated visual odometry and mapping TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T10:50:50.986009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f71d69e-d73b-47d0-b23a-9694cc33f8d5 · inbound

Learning to Localize Reference Trajectories in Image-Space for Visual Navigation cites this paper.

Learning to Localize Reference Trajectories in Image-Space for Visual Navigation TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T21:56:35.349637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 866bcb20-3291-4408-b036-ca53cd8c965a · inbound

ZipMap: Linear-Time Stateful 3D Reconstruction via Test-Time Training cites this paper.

ZipMap: Linear-Time Stateful 3D Reconstruction via Test-Time Training TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:26:17.532229Z

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.

Observation 910e0d7c-fbf9-45d2-ae80-baadd2b4b412 · inbound

A Survey of Legged Robotics in Non-Inertial Environments: Past, Present, and Future cites this paper.

A Survey of Legged Robotics in Non-Inertial Environments: Past, Present, and Future TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation

Reference 112

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:51:04.864726Z

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.

Observation c3e5083b-1578-4401-bbd5-7a71740de245 · inbound

FUS3DMaps: Scalable and Accurate Open-Vocabulary Semantic Mapping by 3D Fusion of Voxel- and Instance-Level Layers cites this paper.

FUS3DMaps: Scalable and Accurate Open-Vocabulary Semantic Mapping by 3D Fusion of Voxel- and Instance-Level Layers TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:56:30.064833Z

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.

Observation 04a03d89-d8bc-4a4f-8fa6-1e7bb4c337c4 · inbound

WildPose: A Unified Framework for Robust Pose Estimation in the Wild cites this paper.

WildPose: A Unified Framework for Robust Pose Estimation in the Wild TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:39:26.549048Z

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.

Observation 9527574e-943e-4791-8456-1bfe23a25a50 · inbound

CM-EVS: Sparse Panoramic RGB-D-Pose Data for Complete Scene Coverage cites this paper.

CM-EVS: Sparse Panoramic RGB-D-Pose Data for Complete Scene Coverage TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:28:55.015962Z

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.

Observation 00048b9e-950b-4452-b833-d02d6f04298f · inbound

ICDepth: Taming Video Diffusion Models for Video Depth Estimation via In-Context Conditioning cites this paper.

ICDepth: Taming Video Diffusion Models for Video Depth Estimation via In-Context Conditioning TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T17:08:42.932190Z

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.

Observation 6f95e575-cde1-49ff-825d-09184255e291 · inbound

PointDiT: Pixel-Space Diffusion for Monocular Geometry Estimation cites this paper.

PointDiT: Pixel-Space Diffusion for Monocular Geometry Estimation TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:38:28.666750Z

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.

Observation 0cb8fa30-6c7a-4c6b-9482-8fbdd3727508 · inbound

Vernata: Self-Supervised Learning of LiDAR Point Representations cites this paper.

Vernata: Self-Supervised Learning of LiDAR Point Representations TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T18:26:54.456661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.