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Paper Citation Record · LEDGER

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

As of 16 August 2026, this Paper Citation Record lists 51 of 51 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 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:08:37.034815Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

51 of 51 outbound references displayed

  • verified exact2
  • verified fuzzy23
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8dd9213e-9acd-46b5-b4ae-a3bbd8443e6d · outbound

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

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Vision meets robotics: The kitti dataset,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e7f58437-852e-4b03-b1e1-ed275ca7cb40 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Scalability in perception for autonomous driving: Waymo open dataset,

Reference 2

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Source-reported events for the cited work

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Observation b7d6f5a8-0c58-4b18-83a6-2b5e15851b68 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation The cityscapes dataset for semantic urban scene understanding,

Reference 3

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Source-reported events for the cited work

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Observation 5d038a6a-1611-4134-8bae-306e450b7cf0 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation nuscenes: A multimodal dataset for autonomous driving,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 17e44101-963d-47a5-8abe-3e7d3250d6ef · outbound

This paper cites Rellis-3d dataset: Data, benchmarks and analysis,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Rellis-3d dataset: Data, benchmarks and analysis,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 18ae8122-4488-4fb4-9c71-ca1817c861fb · outbound

This paper cites A rugd dataset for autonomous navigation and visual perception in unstructured outdoor environments,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation A rugd dataset for autonomous navigation and visual perception in unstructured outdoor environments,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f9287429-0c79-404c-88ce-873cb4cfa067 · outbound

This paper cites The goose dataset for perception in unstructured environments,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation The goose dataset for perception in unstructured environments,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1ec83f16-a14d-4e00-8e66-95ca6ea233d9 · outbound

This paper cites Tartandrive: A large-scale dataset for learning off-road dynamics models,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Tartandrive: A large-scale dataset for learning off-road dynamics models,

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 35d1b9ab-2753-478a-bbbf-9bf7f9e995aa · outbound

This paper cites TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 00fa9b04-8b57-4ad0-b587-7eb6419c6a33 · outbound

This paper cites Wildscenes: A benchmark for 2d and 3d semantic segmentation in large-scale nat- ural environments,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Wildscenes: A benchmark for 2d and 3d semantic segmentation in large-scale nat- ural environments,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 36e5e83d-a647-4a3e-a98c-8112fe3d47ea · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Scannet: Richly-annotated 3d reconstructions of indoor scenes,

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9ee2b2fd-f79f-42c8-88f5-58a6b50f9b94 · outbound

This paper cites A benchmark for the evaluation of rgb-d slam systems,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation A benchmark for the evaluation of rgb-d slam systems,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d20dfc6c-9ff1-426c-9a2e-18a2c68f899b · outbound

This paper cites Matterport3D: Learning from RGB-D Data in Indoor Environments.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Matterport3D: Learning from RGB-D Data in Indoor Environments

Reference 13

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Observation d3ad8de9-f466-4fd6-99cc-c7bce2f6cd9f · outbound

This paper cites Tartanair: A dataset to push the limits of visual slam,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Tartanair: A dataset to push the limits of visual slam,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-15T21:08:39.454257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a04fe2b7-381e-40ab-b982-15de598800b9 · outbound

This paper cites Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras,

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c594fef8-34ba-4646-a2fd-3aa762a984de · outbound

This paper cites Virtual KITTI 2.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Virtual KITTI 2

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 91feb9c6-024f-4937-bc20-2229870d4ca2 · outbound

This paper cites Irs: A large naturalistic indoor robotics stereo dataset to train deep models for disparity and surface normal estimation,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Irs: A large naturalistic indoor robotics stereo dataset to train deep models for disparity and surface normal estimation,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7927b37d-956e-4c68-945f-d985b3d4484f · outbound

This paper cites Hypersim: A photorealistic synthetic dataset for holistic indoor scene understand- ing,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Hypersim: A photorealistic synthetic dataset for holistic indoor scene understand- ing,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5b27970e-f734-4b99-b769-3068c5a745f8 · outbound

This paper cites Depth Anything V2.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Depth Anything V2

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b23bdf53-8dcd-492f-ab42-16812e001a34 · outbound

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

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0e41c6d2-6bda-497a-8e78-c27d1cb031d7 · outbound

This paper cites Semantickitti: A dataset for semantic scene un- derstanding of lidar sequences,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Semantickitti: A dataset for semantic scene un- derstanding of lidar sequences,

Reference 21

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Unavailable: canonical work link unavailable.

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Observation de0185b4-6346-4ba2-b112-9fd1ed4debf5 · outbound

This paper cites Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving,

Reference 22

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Unavailable: canonical work link unavailable.

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Observation 557a73e0-5f6f-4a78-b2e1-878ac22e21b2 · outbound

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

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Sun rgb-d: A rgb-d scene un- derstanding benchmark suite,

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a6f302fe-f69b-4643-8505-6cf2d8e2c5bf · outbound

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

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Indoor segmentation and support inference from rgbd images,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 911f2037-ff4d-439c-9bc8-9527c24c038b · outbound

This paper cites WildOcc: A Benchmark for Off-Road 3D Semantic Occupancy Prediction.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation WildOcc: A Benchmark for Off-Road 3D Semantic Occupancy Prediction

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fe0c21d6-7f4f-46d4-b8db-d4075084c7d6 · outbound

This paper cites Tartanair-v2 dataset,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Tartanair-v2 dataset,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b3db60be-b633-4822-a889-3cbf95db56a3 · outbound

This paper cites Synphorest - synthetic photorealistic forest dataset with depth information for machine learning model training,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Synphorest - synthetic photorealistic forest dataset with depth information for machine learning model training,

Reference 27

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 66409faf-1c88-4ed7-83ab-25a280eb8a4d · outbound

This paper cites Excavating in the wild: The goose-ex dataset for semantic segmen- tation,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Excavating in the wild: The goose-ex dataset for semantic segmen- tation,

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0f7a527d-58dd-4842-aad2-8762d687055a · outbound

This paper cites Boxi: Design Decisions in the Context of Algorithmic Performance for Robotics.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Boxi: Design Decisions in the Context of Algorithmic Performance for Robotics

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 524cb223-215a-4fc2-aa51-a72e0c2eea6d · outbound

This paper cites Airsim: High-fidelity visual and physical simulation for autonomous vehicles,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Airsim: High-fidelity visual and physical simulation for autonomous vehicles,

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 78d848b1-4924-4147-919f-df42e487e7d2 · outbound

This paper cites Efficient global navi- gational planning in 3-d structures based on point cloud tomography,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Efficient global navi- gational planning in 3-d structures based on point cloud tomography,

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5b6df436-4f61-4675-b271-46cb43b4e780 · outbound

This paper cites Robot-centric elevation mapping with uncertainty estimates,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Robot-centric elevation mapping with uncertainty estimates,

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-15T21:08:38.902863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b7d7ec9f-59ba-4994-af45-2861cdbaa49e · outbound

This paper cites Surroundocc: Multi-camera 3d occupancy prediction for autonomous driving,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Surroundocc: Multi-camera 3d occupancy prediction for autonomous driving,

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1343a361-f435-4a9b-8a85-8f7002c87973 · outbound

This paper cites Side adapter network for open-vocabulary semantic segmentation,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Side adapter network for open-vocabulary semantic segmentation,

Reference 34

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raw_fallback, observed 2026-08-15T21:08:38.684184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4d2d6c03-5d97-42be-bc20-93c0e8f601ab · outbound

This paper cites Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam,

Reference 35

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no resolver link, observed 2026-08-15T21:08:36.506175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:36.506175Z digest=sha256:dd5538a3fe12ba44059d190201e55b4b2daee3978a2c697cce90ccbf891cf526

Observation db682c20-75cc-4929-a5c2-e468de5d5f3e · outbound

This paper cites Deep Patch Visual SLAM,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Deep Patch Visual SLAM,

Reference 36

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no resolver link, observed 2026-08-15T21:08:36.590965Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:36.590965Z digest=sha256:192d419571c88f694d4ed7009da059bf0c267f43c6f00c478cbf2a2496becd90

Observation 429f5584-2c6b-4afc-85eb-baabbd5621e3 · outbound

This paper cites MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry

Reference 37

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verified exact
local_arxiv, observed 2026-08-15T21:08:37.331796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:08:36.691967Z digest=sha256:aca7f0fb13af2e88636896262512b10686dc12cc02b1ebee077e776561da11db

Observation bdae067e-e704-4cf0-907a-d5d853ddd213 · outbound

This paper cites Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,

Reference 38

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no resolver link, observed 2026-08-15T21:08:36.705392Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:36.705392Z digest=sha256:30b4a3d7a0a8be976362daf93b2cc6db2eb37aed55c4666934a20c58a68abfaf

Observation 381d2e2c-4d2f-4b1c-a5da-85ad7e130ad3 · outbound

This paper cites Bevfusion: Multi-task multi-sensor fusion with unified bird’s- eye view representation,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Bevfusion: Multi-task multi-sensor fusion with unified bird’s- eye view representation,

Reference 39

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no resolver link, observed 2026-08-15T21:08:36.712195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:36.712195Z digest=sha256:13b2785f5c09d21a757efdf5c807cb1bbe9053a7b5b9295d0455f3617cd2e387

Observation c4e294c9-a096-4b4c-9899-e36e0c179369 · outbound

This paper cites Roadrunner m&m - learning multi-range multi-resolution traversabil- ity maps for autonomous off-road navigation,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Roadrunner m&m - learning multi-range multi-resolution traversabil- ity maps for autonomous off-road navigation,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:38.436496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:08:36.718272Z digest=sha256:bcbfe53e39b2f40f49fdebbe92e2563320f0fe6c6a9d978f45d4dc47c90c7deb

Observation 4feda17e-5015-4e02-bc37-2973016209a9 · outbound

This paper cites Roadrunner- learning traversability estimation for autonomous off-road driving,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Roadrunner- learning traversability estimation for autonomous off-road driving,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:38.222420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:08:36.724587Z digest=sha256:dd3b1540db996883330b34208a66fc88675d5f0c60e2a30b688a1da6e3c1e580

Observation 15bcfa6c-ff21-4120-aba2-72cfa628195a · outbound

This paper cites TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation

Reference 42

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no resolver link, observed 2026-08-15T21:08:36.729949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:36.729949Z digest=sha256:3c2cbad531a20da2e28624eddfe78aa23e17f3705d2980d1f1466b6ba5adee60

Observation ae63e928-5e1d-4d44-b2ea-0e6a33ac67e0 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation 3d gaussian splatting for real-time radiance field rendering

Reference 43

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no resolver link, observed 2026-08-15T21:08:36.739643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:36.739643Z digest=sha256:8bf3c7c49b6732c3d0d48c9fa5563625684c589af4b5e57d965f5977d08c2c32

Observation 683e7eda-c13d-45c6-ba09-d4cff439b068 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:38.054545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:08:36.822433Z digest=sha256:d4968ef6c4477e541ed16cd5864fc2907d4574328911cf913c00f0a146faffc6

Observation 7288049f-ce54-4623-b967-7735929bb763 · outbound

This paper cites Nice-slam: Neural implicit scalable encoding for slam,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Nice-slam: Neural implicit scalable encoding for slam,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:37.919235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:08:36.874248Z digest=sha256:41def9a7ad8879b8cfd847b67f481311d8253678abd34e28d0bf206a7437ead3

Observation 811dac2e-07c9-4141-8c1d-e6ebde9e1c95 · outbound

This paper cites GlORIE-SLAM: Globally Optimized RGB-only Implicit Encoding Point Cloud SLAM.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation GlORIE-SLAM: Globally Optimized RGB-only Implicit Encoding Point Cloud SLAM

Reference 46

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no resolver link, observed 2026-08-15T21:08:36.882596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:36.882596Z digest=sha256:a274c06ede5b38fcfb03abcbd84639c5f41e43fca744f74641288617fa983cd6

Observation c215321b-2f35-4691-9808-6a2f3ef853f9 · outbound

This paper cites Splatam: Splat track & map 3d gaussians for dense rgb-d slam,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Splatam: Splat track & map 3d gaussians for dense rgb-d slam,

Reference 47

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unresolved
no resolver link, observed 2026-08-15T21:08:36.888264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:36.888264Z digest=sha256:f6523ffe9364244619b51812dc2ef3f4e60af1772b807d2bd49e5089e470e469

Observation 7197c789-af39-47fb-b5e5-f0a71e49ccad · outbound

This paper cites Splat-slam: Globally optimized rgb-only slam with 3d gaussians,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Splat-slam: Globally optimized rgb-only slam with 3d gaussians,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:37.845918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:08:36.896518Z digest=sha256:f171dce6648caa834756a8f91b1f211c7803ce61882659c11f1fba539d162a06

Observation 82b3f006-0aea-4558-a43f-1ae21ec2c396 · outbound

This paper cites Nomad: Goal masked diffusion policies for navigation and exploration,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Nomad: Goal masked diffusion policies for navigation and exploration,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:37.737120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:08:36.902401Z digest=sha256:84e8b6ba40805b18730d3cfa04139f0bdac8eb04a135311e1e15255bf5902d3c

Observation 0d77a77c-4bc2-4703-a0f4-2d23bbc62d20 · outbound

This paper cites iPlanner: Imperative Path Planning,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation iPlanner: Imperative Path Planning,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:37.716750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:08:37.002375Z digest=sha256:0d1ec9907c6f961bf29a4a2ec92909729d7039f6761daccbb0e41d9a0f77db28

Observation 53618660-4feb-4ac1-987e-5ca460f30b39 · outbound

This paper cites Viplanner: Visual semantic imperative learning for local navigation,.

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation Viplanner: Visual semantic imperative learning for local navigation,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:08:37.638505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T21:08:37.034815Z digest=sha256:52da862f345235a19222bad75869bd3544b1eaf1b0de32a83248b35e2d5848f3

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:50:50.986009Z digest=sha256:218aecee16935a5db50dca57c6ae561b023106a13415960d2da1000fd7d4c308

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:56:35.349637Z digest=sha256:aa1ebefcbc11c4af8580a16df5852e777e318b75a58feaeb44a0abf565dbf92f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-15T16:21:16.229770Z digest=sha256:d3c3dd51b3f53e27a6c8293adc7a649e90e4f67ef500f3990f9d09af6ab826b0

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-09T23:56:23.402515Z digest=sha256:21dd5ff1ab80dc2412d0d74f045880789da5b378e96b4363cb0b3c4e74b25fa2

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-07T15:47:11.780364Z digest=sha256:41d7937bfbe6155296e56ec280d1015966f03e11b965c7956d33ea72b5cecc64

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-14T20:38:04.312214Z digest=sha256:db2b1f3f315d19268fc29ac65aa9540a5af055bb06c13ec72be6283666228d76

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-20T19:26:32.448656Z digest=sha256:ae9e206f20d7cf6f17ce5b91501ed6e7416182e5cb28646c113e2be91b5afd1f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-03T16:59:40.925535Z digest=sha256:9cd454bb44c247829dd5290f7bc61dfa7bc021c19d1b6741f6dd9b76d4861292

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-03T14:34:04.566992Z digest=sha256:b963977dbb1ae56c345777504ecf6235cb24f725f0d04153808c77ffc43f4d2b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:26:54.456661Z digest=sha256:b3bfcdb48f3d521e6d87fe4070a7490af8f81e071ecd956580bb67a978791a96