Paper Citation Record · LEDGER

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

As of 4 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 68 inbound Pith citation observations for arXiv:2111.08897.

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

pith.paper-citation-record.v1
2111.08897 v3

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T10:47:08.943195Z

measured 114 of 114 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 68 of 68 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:23:00.688451Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T06:19:37.435697Z

Reference resolution

46 of 46 outbound references displayed

verified exact7
verified fuzzy38
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 93e63e63-34df-4899-9e01-87da6256d691 · outbound

This paper cites 3d-sis: 3d semantic instance segmentation of rgb-d scans.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data 3d-sis: 3d semantic instance segmentation of rgb-d scans

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.088906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a299ecae-da28-4993-94d5-09bc70cfec7f · outbound

This paper cites Gspn: Generative shape proposal network for 3d instance segmentation in point cloud.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Gspn: Generative shape proposal network for 3d instance segmentation in point cloud

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.093612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8d3c3334-8624-459e-9ad1-2323e37f0c2a · outbound

This paper cites Sgpn: Similarity group proposal network for 3d point cloud instance segmentation.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Sgpn: Similarity group proposal network for 3d point cloud instance segmentation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.096098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8f61ab27-baac-455f-a37a-619c9b876401 · outbound

This paper cites Deep hough voting for 3d object detection in point clouds.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Deep hough voting for 3d object detection in point clouds

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.098337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b5504eb5-2f36-45de-8974-594e35463714 · outbound

This paper cites Qi, Xinlei Chen, and Leonidas J.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Qi, Xinlei Chen, and Leonidas J

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.100263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9f193d91-7658-4233-8316-9d1cd3f8afc4 · outbound

This paper cites SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:47:08.974940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ff144d28-a26f-4ec3-aacc-2d684e4d3068 · outbound

This paper cites Group-Free 3D Object Detection via Transformers.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Group-Free 3D Object Detection via Transformers

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:47:08.993949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e022456c-c300-4bd3-96ea-5cad39782894 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data ShapeNet: An Information-Rich 3D Model Repository

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-15T10:47:08.998762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 57dd6766-4275-418e-84e1-c53c6267be23 · outbound

This paper cites Sun3d: A database of big spaces reconstructed using sfm and object labels.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Sun3d: A database of big spaces reconstructed using sfm and object labels

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.102556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation af5a36cd-ecce-4c50-9da6-aa3b34896274 · outbound

This paper cites A category-level 3d object dataset: Putting the kinect to work.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data A category-level 3d object dataset: Putting the kinect to work

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.104943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation cc659449-8ad1-4dfa-8e79-28238e299605 · outbound

This paper cites 3d semantic parsing of large-scale indoor spaces.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data 3d semantic parsing of large-scale indoor spaces

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.011247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 96ae1e4e-7ac8-4866-b003-6f7769d0b6c3 · outbound

This paper cites Partnet: A large-scale benchmark for ﬁne-grained and hierarchical part-level 3d object understanding.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Partnet: A large-scale benchmark for ﬁne-grained and hierarchical part-level 3d object understanding

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.014665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation fe761ee8-be2f-4dbc-a2dc-21a162ec65e6 · outbound

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

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Scalability in perception for autonomous driving: Waymo open dataset

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.018810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 31cd8823-e9fc-46c5-bfa9-dd6598d4ab6d · outbound

This paper cites Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.021638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation de22518f-49b9-4c2d-8a24-82af829a350f · outbound

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

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Sun rgb-d: A rgb-d scene understanding benchmark suite

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.024305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 73773c2a-4d80-44c0-9416-149c839aab3e · outbound

This paper cites Indoor scene segmentation using a structured light sensor.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Indoor scene segmentation using a structured light sensor

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.027203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 51d068b3-2c7d-451b-9ac3-9394afd28dbd · outbound

This paper cites an unresolved cited work.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-05-15T10:47:09.029860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 674347ef-a846-4508-b52e-1fc0c066bf95 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Imagenet: A large-scale hierarchical image database

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.032692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 320d9a94-40b7-4b88-807e-12265df85992 · outbound

This paper cites Vision meets robotics: The kitti dataset.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Vision meets robotics: The kitti dataset

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.035458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 59265e6b-a28f-4c72-892e-acddeb841cb4 · outbound

This paper cites Kesten, M.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Kesten, M

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.037774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4fa0f341-63fa-4ada-ab4f-b2d61d6e6682 · outbound

This paper cites Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.040353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 99f0fcb6-6ae8-48ff-8101-efe89a76b82a · outbound

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

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Matterport3D: Learning from RGB-D Data in Indoor Environments

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-15T10:47:08.982234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 28e73a3c-fb5c-49c8-b2fc-34186ae1eb9d · outbound

This paper cites Scenenn: A scene meshes dataset with annotations.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Scenenn: A scene meshes dataset with annotations

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.042864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 645623a5-194c-4fc5-bf72-c769a243e397 · outbound

This paper cites Pigraphs: Learning interaction snapshots from observations.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Pigraphs: Learning interaction snapshots from observations

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.044879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 22be1ac6-d10e-43b9-8303-e65b598b12ee · outbound

This paper cites A naturalistic open source movie for optical ﬂow evaluation.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data A naturalistic open source movie for optical ﬂow evaluation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.047216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation cfd376ca-8280-48c8-80f6-2e9221e0ab5f · outbound

This paper cites High-resolution stereo datasets with subpixel-accurate ground truth.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data High-resolution stereo datasets with subpixel-accurate ground truth

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.049628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 46a3fdf8-ef9b-48e5-b426-79ee606d76ff · outbound

This paper cites Structure aware single-stage 3d object detection from point cloud.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Structure aware single-stage 3d object detection from point cloud

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.051922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 22e32197-db65-43d5-9173-31e8c9d30b39 · outbound

This paper cites Hvnet: Hybrid voxel network for lidar based 3d object detection.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Hvnet: Hybrid voxel network for lidar based 3d object detection

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.054348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1ab72fee-2f80-40ec-be2c-1ce56e02dfa2 · outbound

This paper cites Point-gnn: Graph neural network for 3d object detection in a point cloud.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Point-gnn: Graph neural network for 3d object detection in a point cloud

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.056791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 78fa6b02-f65d-40fc-9e9a-e2feaf77d057 · outbound

This paper cites Mlcvnet: Multi-level context votenet for 3d object detection.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Mlcvnet: Multi-level context votenet for 3d object detection

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.059680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ff42a38b-3c36-4501-a253-4cd26a649fb9 · outbound

This paper cites Chen, and Jian Wu.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Chen, and Jian Wu

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.062067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 25bb06dd-ce6a-4411-9f19-f5803433dcea · outbound

This paper cites Frodo: From detections to 3d objects.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Frodo: From detections to 3d objects

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.064211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0f3f130a-3195-441d-852b-d47bd9e4b549 · outbound

This paper cites Generative Sparse Detection Networks for 3D Single-shot Object Detection.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Generative Sparse Detection Networks for 3D Single-shot Object Detection

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:47:09.008400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 79a5ad0b-0c28-4551-9c54-e630c29a3153 · outbound

This paper cites Frustum pointnets for 3d object detection from rgb-d data.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Frustum pointnets for 3d object detection from rgb-d data

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.066321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d6c8fa18-3bd7-4094-b109-14ff803f5136 · outbound

This paper cites Pv-rcnn: Point-voxel feature set abstraction for 3d object detection.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Pv-rcnn: Point-voxel feature set abstraction for 3d object detection

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.068637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a5eb1b62-e06d-41b6-b19e-0d9a4361138d · outbound

This paper cites Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:47:08.988947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 64d13d14-3866-45dd-990c-313e48e9218c · outbound

This paper cites Depth map super-resolution by deep multi-scale guidance.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Depth map super-resolution by deep multi-scale guidance

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.070886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 649e46b1-aab2-4678-8c40-39bcefdb5058 · outbound

This paper cites Cohen, Dani Lischinski, and Matt Uyttendaele.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Cohen, Dani Lischinski, and Matt Uyttendaele

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.073069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 369d9892-b758-4a6e-8bd6-30ba7336e82e · outbound

This paper cites Image guided depth upsampling using anisotropic total generalized variation.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Image guided depth upsampling using anisotropic total generalized variation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.075274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 07885751-d02f-4b39-bb42-178e521ed5a4 · outbound

This paper cites A taxonomy and evaluation of dense two-frame stereo correspondence algorithms.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data A taxonomy and evaluation of dense two-frame stereo correspondence algorithms

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.077491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0761802c-08a9-4384-95b6-b4a4658bdd1f · outbound

This paper cites High-accuracy stereo depth maps using structured light.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data High-accuracy stereo depth maps using structured light

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.079658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ec6f619e-e72e-4a1b-b4fe-0b78da950fc3 · outbound

This paper cites Random sample consensus: a paradigm for model ﬁtting with applications to image analysis and automated cartography.Communications of the ACM, 24(6):381–395.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Random sample consensus: a paradigm for model ﬁtting with applications to image analysis and automated cartography.Communications of the ACM, 24(6):381–395

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.082065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation eaabc0bf-9c3f-48e0-8ab3-034102cfb004 · outbound

This paper cites H3dnet: 3d object detection using hybrid geometric primitives.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data H3dnet: 3d object detection using hybrid geometric primitives

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.084547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ada8433b-7ce7-40cd-85e9-77e39d7720bd · outbound

This paper cites Qi, Li Yi, Hao Su, and Leonidas J.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Qi, Li Yi, Hao Su, and Leonidas J

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.086559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 68342a13-9b8b-4729-a78b-4531a46451ea · outbound

This paper cites Multi-Scale Progressive Fusion Learning for Depth Map Super-Resolution.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Multi-Scale Progressive Fusion Learning for Depth Map Super-Resolution

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:47:09.003544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d09d5d0f-1564-4ec1-a451-4beaaa19f080 · outbound

This paper cites Megadepth: Learning single-view depth prediction from internet photos.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data Megadepth: Learning single-view depth prediction from internet photos

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:47:09.091199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Pith citing papers

Observation ae0a26b0-86c9-44c1-bcf6-1e8a0a4070b9 · inbound

Seed1.5-VL Technical Report cites this paper.

Seed1.5-VL Technical Report ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:47:09.105767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 7df4d349-4fbd-4a94-b5af-b136e2a2bd04 · inbound

VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction cites this paper.

VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-19T12:57:17.979751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation aeeac5f0-dac4-46c8-a80b-da09a82ceac7 · inbound

Streaming 4D Visual Geometry Transformer cites this paper.

Streaming 4D Visual Geometry Transformer ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-15T22:58:18.989592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation fd0d02e2-ea8b-4950-b2e9-d1a756437449 · inbound

$\pi^3$: Permutation-Equivariant Visual Geometry Learning cites this paper.

$\pi^3$: Permutation-Equivariant Visual Geometry Learning ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:47:09.105767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 7166d083-23dd-440e-9ff0-bc3fc06dcdeb · inbound

ViPE: Video Pose Engine for 3D Geometric Perception cites this paper.

ViPE: Video Pose Engine for 3D Geometric Perception ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-16T16:41:08.712162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 08efcfe3-94b8-4a46-bf62-b250f3110931 · inbound

A Scene is Worth a Thousand Features: Feed-Forward Camera Localization from a Collection of Image Features cites this paper.

A Scene is Worth a Thousand Features: Feed-Forward Camera Localization from a Collection of Image Features ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-18T10:46:16.212010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a83ea0a6-a303-4ea9-afec-7a0dd1a6d242 · inbound

DoReMi: Bridging 3D Domains via Topology-Aware Domain-Representation Mixture of Experts cites this paper.

DoReMi: Bridging 3D Domains via Topology-Aware Domain-Representation Mixture of Experts ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-17T22:15:22.056255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 05dac53e-1f22-40f2-8798-f49fb0ac5e54 · inbound

POMA-3D: The Point Map Way to 3D Scene Understanding cites this paper.

POMA-3D: The Point Map Way to 3D Scene Understanding ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-17T20:30:11.596891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 858ff559-25c1-4076-bb04-fd8184e2384b · inbound

VKnowU: Evaluating Visual Knowledge Understanding in Multimodal LLMs cites this paper.

VKnowU: Evaluating Visual Knowledge Understanding in Multimodal LLMs ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T20:23:00.688451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b64170e-bb90-4675-9c0f-b78e5af075fe · inbound

Vision-Language Memory for Spatial Reasoning cites this paper.

Vision-Language Memory for Spatial Reasoning ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T20:15:30.460590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 111dd298-3133-4a55-9b20-376284017894 · inbound

FUSER: Feed-Forward MUltiview 3D Registration Transformer and SE(3)$^N$ Diffusion Refinement cites this paper.

FUSER: Feed-Forward MUltiview 3D Registration Transformer and SE(3)$^N$ Diffusion Refinement ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-16T23:43:42.377707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 56fb8dad-eb0b-4554-beaa-2acd524bd070 · inbound

FUSER: Feed-Forward MUltiview 3D Registration Transformer and SE(3)$^N$ Diffusion Refinement cites this paper.

FUSER: Feed-Forward MUltiview 3D Registration Transformer and SE(3)$^N$ Diffusion Refinement ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T17:31:41.664254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67a541c4-872c-480d-81d1-3f9b4038a40c · inbound

Chorus: Multi-Teacher Pretraining for Holistic 3D Gaussian Scene Encoding cites this paper.

Chorus: Multi-Teacher Pretraining for Holistic 3D Gaussian Scene Encoding ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-16T20:38:24.872378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 313e7e72-8f17-4ead-8cf0-73b5e44adc38 · inbound

OpenGround: Planning-based Online Perception for Open-World 3D Visual Grounding cites this paper.

OpenGround: Planning-based Online Perception for Open-World 3D Visual Grounding ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T13:46:24.796692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b69636d6-2c1a-414c-be7c-5fc5e2f5f704 · inbound

MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources cites this paper.

MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T06:50:15.640786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7065f32b-8c05-48b0-9d9a-5fc6562cb285 · inbound

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

ZipMap: Linear-Time Stateful 3D Reconstruction via Test-Time Training ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:26:17.452198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9d400e97-b446-4e23-9204-f8f7b42d7a2b · inbound

Dual Tuning for Reasoning Efficacy-Driven Data Curation in Multimodal LLM Training cites this paper.

Dual Tuning for Reasoning Efficacy-Driven Data Curation in Multimodal LLM Training ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-16T08:12:35.465374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 50d21cdb-0fd9-45fb-83f9-c209b5037f34 · inbound

SVCBench: A Streaming Video Counting Benchmark for Spatial-Temporal State Maintenance cites this paper.

SVCBench: A Streaming Video Counting Benchmark for Spatial-Temporal State Maintenance ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T22:09:56.270516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 861b883d-4f46-4fee-a95a-484d8bc4e876 · inbound

Reasoning over Video: Evaluating How MLLMs Extract, Integrate, and Reconstruct Spatiotemporal Evidence cites this paper.

Reasoning over Video: Evaluating How MLLMs Extract, Integrate, and Reconstruct Spatiotemporal Evidence ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-15T11:29:58.733569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8b74ff99-ddb9-418a-9196-9f00aa2c7072 · inbound

Feeling the Space: Egomotion-Aware Video Representation for Efficient and Accurate 3D Scene Understanding cites this paper.

Feeling the Space: Egomotion-Aware Video Representation for Efficient and Accurate 3D Scene Understanding ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T10:47:09.105767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0b4eb5c8-f2dd-4da6-bdd6-3d340b8a8509 · inbound

SpatialStack: Layered Geometry-Language Fusion for 3D VLM Spatial Reasoning cites this paper.

SpatialStack: Layered Geometry-Language Fusion for 3D VLM Spatial Reasoning ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:47:09.105767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1b2138e9-9501-49a7-a3c5-8d997bda4232 · inbound

RGB-Pointmap Pretraining for Unified 3D Scene Understanding cites this paper.

RGB-Pointmap Pretraining for Unified 3D Scene Understanding ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T10:47:09.105767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 3c106e1a-39f8-47a0-a4d8-a7c2015f1df2 · inbound

Boxer: Robust Lifting of Open-World 2D Bounding Boxes to 3D cites this paper.

Boxer: Robust Lifting of Open-World 2D Bounding Boxes to 3D ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T10:47:09.105767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 174342c8-d86d-43e9-bdf0-5367ebd14a8f · inbound

OpenSpatial: A Principled Data Engine for Empowering Spatial Intelligence cites this paper.

OpenSpatial: A Principled Data Engine for Empowering Spatial Intelligence ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T10:47:09.105767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 38f7ff58-b637-44fa-8d5e-ede5d76a81c9 · inbound

WildDet3D: Scaling Promptable 3D Detection in the Wild cites this paper.

WildDet3D: Scaling Promptable 3D Detection in the Wild ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:47:09.105767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a8bd2a23-be2b-4710-a0f5-9f43a8670535 · inbound

TInR: Exploring Tool-Internalized Reasoning in Large Language Models cites this paper.

TInR: Exploring Tool-Internalized Reasoning in Large Language Models ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T22:20:17.569353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66b2c27e-3878-4182-ae60-d15cd30f0b97 · inbound

ReplicateAnyScene: Zero-Shot Video-to-3D Composition via Textual-Visual-Spatial Alignment cites this paper.

ReplicateAnyScene: Zero-Shot Video-to-3D Composition via Textual-Visual-Spatial Alignment ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T10:47:09.105767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 7b5f956c-6f36-4cbf-90bb-bfc0d8a0f863 · inbound

Any 3D Scene is Worth 1K Tokens: 3D-Grounded Representation for Scene Generation at Scale cites this paper.

Any 3D Scene is Worth 1K Tokens: 3D-Grounded Representation for Scene Generation at Scale ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T10:47:09.105767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9540424d-5bc0-43eb-b25f-b344ee3d155c · inbound

Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective cites this paper.

Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 277

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:47:09.105767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation cdef47f2-0dfd-46fe-a34b-c41f0cd2f789 · inbound

R3D: Revisiting 3D Policy Learning cites this paper.

R3D: Revisiting 3D Policy Learning ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T10:47:09.105767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 082c1a56-6e9c-4ada-adc5-68e20f009f08 · inbound

DENALI: A Dataset Enabling Non-Line-of-Sight Spatial Reasoning with Low-Cost LiDARs cites this paper.

DENALI: A Dataset Enabling Non-Line-of-Sight Spatial Reasoning with Low-Cost LiDARs ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:47:09.105767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 52af6703-bdc3-423e-883b-53477df1bc8b · inbound

HSG: Hyperbolic Scene Graph cites this paper.

HSG: Hyperbolic Scene Graph ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T10:47:09.105767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a2fd925f-0189-4042-8659-1d4e3e21e26b · inbound

JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation cites this paper.

JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:47:09.105767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e3fd5c8a-be96-4a69-b054-931b93173e49 · inbound

JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation cites this paper.

JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-21T08:19:52.723702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c355f005-b6f0-46d1-a26f-3fefe757721b · inbound

SplatWeaver: Learning to Allocate Gaussian Primitives for Generalizable Novel View Synthesis cites this paper.

SplatWeaver: Learning to Allocate Gaussian Primitives for Generalizable Novel View Synthesis ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:47:09.105767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 510dfadd-baf1-427c-8c0c-9c9ddd4ab1cc · inbound

SplatWeaver: Learning to Allocate Gaussian Primitives for Generalizable Novel View Synthesis cites this paper.

SplatWeaver: Learning to Allocate Gaussian Primitives for Generalizable Novel View Synthesis ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 82

Resolution: verified exact; local_arxiv, observed 2026-05-22T10:44:47.338633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ed6069de-70eb-4074-92ac-d9a5c7e9ae6f · inbound

ST-Gen4D: Embedding 4D Spatiotemporal Cognition into World Model for 4D Generation cites this paper.

ST-Gen4D: Embedding 4D Spatiotemporal Cognition into World Model for 4D Generation ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:47:09.105767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c2988138-1079-4480-823b-30ab48740918 · inbound

Hyperbolic Distillation: Geometry-Guided Cross-Modal Transfer for Robust 3D Object Detection cites this paper.

Hyperbolic Distillation: Geometry-Guided Cross-Modal Transfer for Robust 3D Object Detection ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:47:09.105767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d544f71d-5ff9-4d3f-ba75-cd9be20931df · inbound

ViSRA: A Video-based Spatial Reasoning Agent for Multi-modal Large Language Models cites this paper.

ViSRA: A Video-based Spatial Reasoning Agent for Multi-modal Large Language Models ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:47:09.105767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5cf03c82-f414-4fd9-8e78-1cd2da47fd7b · inbound

IVGT: Implicit Visual Geometry Transformer for Neural Scene Representation cites this paper.

IVGT: Implicit Visual Geometry Transformer for Neural Scene Representation ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-20T18:38:52.717245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 89e37cd2-d185-4366-bbb7-ca4a5ca2caf9 · inbound

IVGT: Implicit Visual Geometry Transformer for Neural Scene Representation cites this paper.

IVGT: Implicit Visual Geometry Transformer for Neural Scene Representation ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-22T09:21:21.343749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 63048c19-e811-4460-8976-38deef0cdc72 · inbound

CaMo: Camera Motion Grounded Evaluation and Training for Vision-Language Models cites this paper.

CaMo: Camera Motion Grounded Evaluation and Training for Vision-Language Models ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T05:28:04.632263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5e3485db-19c2-4f88-b82c-ba75b4a553b0 · inbound

UniT: Unified Geometry Learning with Group Autoregressive Transformer cites this paper.

UniT: Unified Geometry Learning with Group Autoregressive Transformer ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:53:57.973596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 86b82e64-2fc2-42da-8792-1ae9ad1f3706 · inbound

ForeSplat: Optimization-Aware Foresight for Feed-Forward 3D Gaussian Splatting cites this paper.

ForeSplat: Optimization-Aware Foresight for Feed-Forward 3D Gaussian Splatting ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-22T07:06:11.803597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation dd2a1a22-c67f-4ed1-bc78-8cefa5dfc9f5 · inbound

ForeSplat: Optimization-Aware Foresight for Feed-Forward 3D Gaussian Splatting cites this paper.

ForeSplat: Optimization-Aware Foresight for Feed-Forward 3D Gaussian Splatting ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-25T06:15:23.669374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a80dccc9-b8f9-4d18-8c33-9641954c2a08 · inbound

VGenST-Bench: A Benchmark for Spatio-Temporal Reasoning via Active Video Synthesis cites this paper.

VGenST-Bench: A Benchmark for Spatio-Temporal Reasoning via Active Video Synthesis ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-22T07:14:42.900601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8668fb25-3816-4b6b-9feb-f564e78d0d64 · inbound

HorizonStream: Long-Horizon Attention for Streaming 3D Reconstruction cites this paper.

HorizonStream: Long-Horizon Attention for Streaming 3D Reconstruction ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-25T04:35:20.819870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 25a5d8f9-2c70-44ea-b089-bfe890460a90 · inbound

SpatialBench: Is Your Spatial Foundation Model an All-Round Player? cites this paper.

SpatialBench: Is Your Spatial Foundation Model an All-Round Player? ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-06-29T17:53:47.190124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9e051b59-4c93-4ba9-a67b-aa501eed1e37 · inbound

Which Pretraining Paradigm Better Serves Spatial Intelligence? An Empirical Comparison of Vision-Language and Video Generation Models cites this paper.

Which Pretraining Paradigm Better Serves Spatial Intelligence? An Empirical Comparison of Vision-Language and Video Generation Models ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-06-29T13:53:28.699603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 51404052-19ab-47d6-8d16-ab7e07d4cbd9 · inbound

GEM: Generative Supervision Helps Embodied Intelligence cites this paper.

GEM: Generative Supervision Helps Embodied Intelligence ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-06-29T13:43:28.804096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a5db6594-94b3-4b1e-adcf-962fe3d14d03 · inbound

Grounded 3D-Aware Spatial Vision-Language Modeling cites this paper.

Grounded 3D-Aware Spatial Vision-Language Modeling ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:13:15.390426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9a91b28d-9d04-4294-8c83-393967eb71d2 · inbound

SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models cites this paper.

SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T19:16:00.330424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 66563856-5aa3-461d-a209-60acd7a3951d · inbound

SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models cites this paper.

SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T22:57:25.695065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6b07d6ad-2f17-4b69-9daf-4e434dde260a · inbound

Honey, I Shrunk the Arc de Triomphe! cites this paper.

Honey, I Shrunk the Arc de Triomphe! ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T22:56:20.379916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6874b649-2f61-4ca9-b46d-c242ece944cd · inbound

Honey, I Shrunk the Arc de Triomphe! cites this paper.

Honey, I Shrunk the Arc de Triomphe! ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T15:13:31.775768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f83c6aca-c4ea-4923-a00f-e72de75d3422 · inbound

Zero-Shot 3D Question Answering via Hierarchical View-to-Token Transportation cites this paper.

Zero-Shot 3D Question Answering via Hierarchical View-to-Token Transportation ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 53

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T02:26:27.078855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d55fcf9a-43e1-4bed-b2e5-6df7988acffd · inbound

GARDEN: Gravity-Aligned Reconstruction of Disentangled ENvironments from RGB images cites this paper.

GARDEN: Gravity-Aligned Reconstruction of Disentangled ENvironments from RGB images ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:46:28.485204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c95c68e1-1e68-4741-854f-818ded0847e6 · inbound

PAR3D: A Unified 3D-MLLM with Part-Aware Representation for Scene Understanding cites this paper.

PAR3D: A Unified 3D-MLLM with Part-Aware Representation for Scene Understanding ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-02T12:16:57.084873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation dd8fb082-0032-43a8-b4ee-f0be380dc41c · inbound

Stream3D-VLM: Online 3D Spatial Understanding with Incremental Geometry Priors cites this paper.

Stream3D-VLM: Online 3D Spatial Understanding with Incremental Geometry Priors ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T16:17:09.620536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d7c251e9-e8f5-47d9-8d8a-16b1f6403716 · inbound

Ouroboros-Spatial: Closing the Data-Model Loop for Spatial Reasoning cites this paper.

Ouroboros-Spatial: Closing the Data-Model Loop for Spatial Reasoning ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-03T09:17:48.620623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation bf37253d-810f-477c-b2f4-7547531bb98b · inbound

Ouroboros-Spatial: Closing the Data-Model Loop for Spatial Reasoning cites this paper.

Ouroboros-Spatial: Closing the Data-Model Loop for Spatial Reasoning ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T11:51:32.107210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e4f4683-0e88-46f0-9e8c-f0bc51a6f902 · inbound

WildBox: A Dataset and Benchmark for Aerial Monocular 3D Detection of African Savanna Wildlife cites this paper.

WildBox: A Dataset and Benchmark for Aerial Monocular 3D Detection of African Savanna Wildlife ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-04T06:19:37.437357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0131e29a-0e00-48a8-9dae-d134e48ffb21 · inbound

DPPE: Rethinking Camera-Based Positional Encoding for Scaling Multi-View Transformers cites this paper.

DPPE: Rethinking Camera-Based Positional Encoding for Scaling Multi-View Transformers ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-07-01T10:15:44.863932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation eb859ce0-9be2-4510-afe3-b46617973ccf · inbound

G$^2$TAM: Geometry Grounded Track Anything Model cites this paper.

G$^2$TAM: Geometry Grounded Track Anything Model ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T23:56:52.009530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2ab1ce4-45cd-4a53-a49e-ab5de712f46a · inbound

Glob3R: Global Structure-from-Motion with 3D Foundation Models cites this paper.

Glob3R: Global Structure-from-Motion with 3D Foundation Models ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-13T01:21:15.228734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b459d38-1fcd-4282-8e8b-bfb8eee4339c · inbound

SeeSE3: Emergence of 3D Space in Vision Features cites this paper.

SeeSE3: Emergence of 3D Space in Vision Features ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-02T02:49:56.808587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cc901f7-7838-409d-9765-20db563219af · inbound

ViSTR-Bench: Can MLLMs Reason from Continuous Visual Cues in Dynamic Scenes? cites this paper.

ViSTR-Bench: Can MLLMs Reason from Continuous Visual Cues in Dynamic Scenes? ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T09:09:24.763704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afc7f4fa-6c41-4f77-afd0-77a185dbb759 · inbound

Data Pyramid for Embodied Manipulation cites this paper.

Data Pyramid for Embodied Manipulation ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-31T06:18:55.233035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.