Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:37:21.425460Z
Paper Citation Record · LEDGER
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes
As of 18 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 5 inbound Pith citation observations for arXiv:2507.07781.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-15T13:51:30.008232Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T00:37:29.656433Z
Reference resolution
47 of 47 outbound references displayed
- verified exact5
- verified fuzzy27
- unresolved15
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 9376cfc3-aed9-4cf8-83f9-69393bdf2cb9 · outbound
This paper cites Scanents3d: Exploiting phrase-to-3d-object correspondences for improved visio-linguistic models in 3d scenes.WACV, 2022.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Scanents3d: Exploiting phrase-to-3d-object correspondences for improved visio-linguistic models in 3d scenes.WACV, 2022
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:26.624177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d8b9af87-1faa-4dd8-b234-3bcb510b0aef · outbound
This paper cites Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:26.491641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1b40e861-a928-4ed0-997f-f53026a46edb · outbound
This paper cites Scanqa: 3d question answering for spatial scene understanding.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Scanqa: 3d question answering for spatial scene understanding
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:37:21.126873Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7e840de-bc4e-4b8c-901a-a6f8dc94ff4b · outbound
This paper cites Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:37:21.133258Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 543dca29-9e36-4ef3-9fa9-ac2c3d0652e9 · outbound
This paper cites Scanrefer: 3d object localization in rgb-d scans using natural language.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Scanrefer: 3d object localization in rgb-d scans using natural language
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:26.323272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7aa50b6c-d6c4-4909-84da-bdd7a04867a1 · outbound
This paper cites an unresolved cited work.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T18:37:26.181776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a49de642-bb8a-4a85-ab87-769d11004151 · outbound
This paper cites Towards label-free scene understanding by vision foundation models.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Towards label-free scene understanding by vision foundation models
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:26.042482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bf533800-795b-499b-937b-7d9eb46bb329 · outbound
This paper cites Clip2scene: Towards label-efficient 3d scene understanding by clip.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Clip2scene: Towards label-efficient 3d scene understanding by clip
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:25.903944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4148b6cc-5b0e-4a17-aed6-75c5f3173d47 · outbound
This paper cites OVGaussian: Generalizable 3D Gaussian Segmentation with Open Vocabularies.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes OVGaussian: Generalizable 3D Gaussian Segmentation with Open Vocabularies
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:37:21.160848Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6b1ba35-5ff8-42c0-bb3c-8e907b4ee5c9 · outbound
This paper cites Zero-shot point cloud segmentation by transferring geometric primitives.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Zero-shot point cloud segmentation by transferring geometric primitives
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:37:22.363226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 241bf559-752a-4323-ac7b-128ab4e7f507 · outbound
This paper cites Bridging language and geometric primitives for zero-shot point cloud segmentation.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Bridging language and geometric primitives for zero-shot point cloud segmentation
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:25.784832Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b452f0b8-dea8-4990-ad3f-496a7d70925b · outbound
This paper cites Ll3da: Visual interactive instruction tuning for omni-3d understanding reasoning and planning.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Ll3da: Visual interactive instruction tuning for omni-3d understanding reasoning and planning
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:25.684857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b292152c-adad-48cc-b2e8-98a6979bbdb0 · outbound
This paper cites Reasoning3D -- Grounding and Reasoning in 3D: Fine-Grained Zero-Shot Open-Vocabulary 3D Reasoning Part Segmentation via Large Vision-Language Models.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Reasoning3D -- Grounding and Reasoning in 3D: Fine-Grained Zero-Shot Open-Vocabulary 3D Reasoning Part Segmentation via Large Vision-Language Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:37:21.181823Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93c3ecf0-d3c8-466b-af6a-67e62075dabd · outbound
This paper cites Grounded 3D-LLM with Referent Tokens.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Grounded 3D-LLM with Referent Tokens
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:37:21.187570Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d085221-29a1-4e6c-a68a-63ec232906cd · outbound
This paper cites an unresolved cited work.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T18:37:25.545431Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b5a4291c-4900-4b9b-9bad-50c7e71bef18 · outbound
This paper cites Segpoint: Segment any point cloud via large language model.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Segpoint: Segment any point cloud via large language model
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:25.369542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1c0ae59c-f287-4a9d-b403-2c10bf660c0b · outbound
This paper cites 3d concept learning and reasoning from multi-view images.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes 3d concept learning and reasoning from multi-view images
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:25.223082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 88a24fde-1d8c-443a-8169-e0f0c819eac2 · outbound
This paper cites 3d-llm: injecting the 3d world into large language models.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes 3d-llm: injecting the 3d world into large language models
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:25.076517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 38fc496f-7a4c-4614-af2a-f2a6eef7d609 · outbound
This paper cites Chat-scene: Bridging 3d scene and large language models with object identifiers.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Chat-scene: Bridging 3d scene and large language models with object identifiers
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:24.930825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f7ee941a-0953-47fe-822d-78787c2cc680 · outbound
This paper cites An embodied generalist agent in 3d world.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes An embodied generalist agent in 3d world
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:24.808362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 66773a7b-6149-40a1-9c5a-b97c8fc6ddeb · outbound
This paper cites Mllm-for3d: Adapting multimodal large language model for 3d reasoning segmentation.arXiv preprint arXiv:2503.18135, 2025.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Mllm-for3d: Adapting multimodal large language model for 3d reasoning segmentation.arXiv preprint arXiv:2503.18135, 2025
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:37:21.231214Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7600b532-ee8d-4d1b-8f5d-8ae1bade0159 · outbound
This paper cites Mllm-for3d: Adapting multimodal large language model for 3d reasoning segmentation, 2025.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Mllm-for3d: Adapting multimodal large language model for 3d reasoning segmentation, 2025
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:24.674946Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 042d3286-fb21-4c1f-ab19-3971b06480f7 · outbound
This paper cites Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:37:22.046731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2d6570b7-2cda-4a48-95c0-ecf1afc66378 · outbound
This paper cites Text-guided graph neural networks for referring 3d instance segmentation.AAAI, 35(2):1610–1618, May 2021.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Text-guided graph neural networks for referring 3d instance segmentation.AAAI, 35(2):1610–1618, May 2021
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:24.529985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d9ac1b62-ec57-42e0-8d96-4246995d0ff7 · outbound
This paper cites Dense object grounding in 3d scenes.ACM Multimedia, 2023.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Dense object grounding in 3d scenes.ACM Multimedia, 2023
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:24.383244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4471163f-cb6b-4db4-89ab-5737e3b369ce · outbound
This paper cites Sceneverse: Scaling 3d vision-language learning for grounded scene understanding.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Sceneverse: Scaling 3d vision-language learning for grounded scene understanding
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:24.255373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c9d89ce4-7ef4-476e-a7ca-79ec368e6539 · outbound
This paper cites Multimodal 3D Reasoning Segmentation with Complex Scenes.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Multimodal 3D Reasoning Segmentation with Complex Scenes
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:37:21.860973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6c0c30db-6c45-4dbf-bf87-63ee7a7f99dd · outbound
This paper cites Intent3d: 3d object detection in rgb-d scans based on human intention.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Intent3d: 3d object detection in rgb-d scans based on human intention
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:24.091965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 83c48785-f887-4b67-be35-c9b7c3c962ab · outbound
This paper cites M3dbench: Towards omni 3d assistant with interleaved multi-modal instructions.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes M3dbench: Towards omni 3d assistant with interleaved multi-modal instructions
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:23.955399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 362f372f-b1d3-4e5f-a3aa-0d1015d2618b · outbound
This paper cites 3DMIT: 3D Multi-modal Instruction Tuning for Scene Understanding.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes 3DMIT: 3D Multi-modal Instruction Tuning for Scene Understanding
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:37:21.293763Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b948b5bd-2019-432c-820e-060b18784fe6 · outbound
This paper cites Multi-modal situated reasoning in 3d scenes.NeurIPS, 2024.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Multi-modal situated reasoning in 3d scenes.NeurIPS, 2024
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:23.821728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e141879a-7cc9-41f9-bcd1-4302cbbbcea4 · outbound
This paper cites See more and know more: Zero-shot point cloud segmentation via multi-modal visual data.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes See more and know more: Zero-shot point cloud segmentation via multi-modal visual data
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:23.645328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 346a79c3-8c57-4270-93cb-b5eba08d6163 · outbound
This paper cites 3dsrbench: A comprehensive 3d spatial reasoning benchmark.arXiv preprint arXiv:2412.07825, 2024.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes 3dsrbench: A comprehensive 3d spatial reasoning benchmark.arXiv preprint arXiv:2412.07825, 2024
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:37:21.314108Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99404787-2c76-42ee-98e0-c7d6561e17b2 · outbound
This paper cites Sqa3d: Situated question answering in 3d scenes.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Sqa3d: Situated question answering in 3d scenes
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:37:21.319192Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd250474-66e0-431b-bd7d-d4b83e2ddde7 · outbound
This paper cites X-refseg3d: Enhancing referring 3d instance segmentation via structured cross-modal graph neural networks.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes X-refseg3d: Enhancing referring 3d instance segmentation via structured cross-modal graph neural networks
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:23.395769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 181c2de8-7ad0-41ba-9f83-b112b78c4865 · outbound
This paper cites Fully convolutional networks for semantic segmentation.IEEE TPAMI, 39(4):640–651, 2017.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Fully convolutional networks for semantic segmentation.IEEE TPAMI, 39(4):640–651, 2017
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:23.282816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 644d44f1-f96e-423b-b35c-a0403c355991 · outbound
This paper cites Embodiedscan: A holistic multi-modal 3d perception suite towards embodied ai.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Embodiedscan: A holistic multi-modal 3d perception suite towards embodied ai
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:23.182958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3770243f-952a-4a6c-94dd-05f355ed0d06 · outbound
This paper cites Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D Scenes.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D Scenes
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:37:21.344604Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b23ebd52-1067-4957-95b2-552b4f7e0a31 · outbound
This paper cites 3d-stmn: Dependency-driven superpoint-text matching network for end-to-end 3d referring expression segmentation.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes 3d-stmn: Dependency-driven superpoint-text matching network for end-to-end 3d referring expression segmentation
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:23.052030Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation eac10f64-5bb7-472e-a662-ba3269557217 · outbound
This paper cites Com- prehensive visual question answering on point clouds through compositional scene manipulation, 2023.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Com- prehensive visual question answering on point clouds through compositional scene manipulation, 2023
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:22.908862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c2c71b5d-d935-4927-bd90-1dc2685e2feb · outbound
This paper cites Fouhey, and Joyce Chai.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Fouhey, and Joyce Chai
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:22.814955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e9854bb2-90b6-42a3-b153-64c907f4714c · outbound
This paper cites Scannet++: A high-fidelity dataset of 3d indoor scenes.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Scannet++: A high-fidelity dataset of 3d indoor scenes
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:37:21.375086Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30d36a3c-73ef-4ec8-8854-6d3fbf77c3c3 · outbound
This paper cites ExCap3D: Expressive 3D Scene Understanding via Object Captioning with Varying Detail.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes ExCap3D: Expressive 3D Scene Understanding via Object Captioning with Varying Detail
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:37:21.594527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6a899754-8dde-43f0-912c-07f2f9f8c2bb · outbound
This paper cites Toward Explainable and Fine-Grained 3D Grounding through Referring Textual Phrases.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Toward Explainable and Fine-Grained 3D Grounding through Referring Textual Phrases
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:37:21.542408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4253dfeb-ddb6-4e97-9581-e8379f3a1fde · outbound
This paper cites VLA-3D: A Dataset for 3D Semantic Scene Understanding and Navigation.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes VLA-3D: A Dataset for 3D Semantic Scene Understanding and Navigation
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:37:21.399482Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 869ee334-947e-452a-a4cf-0c9bcf0a93f8 · outbound
This paper cites ScanReason: Empowering 3D Visual Grounding with Reasoning Capabilities.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes ScanReason: Empowering 3D Visual Grounding with Reasoning Capabilities
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:37:21.413309Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 773e9acc-2f00-4620-961d-89669b1f0225 · outbound
This paper cites 3d-vista: Pre-trained transformer for 3d vision and text alignment.
SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes 3d-vista: Pre-trained transformer for 3d vision and text alignment
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:37:22.621098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
Observation 6a07e2e5-fa18-4df6-a88c-1e53ebdf9428 · inbound
RDSplat: Robust Watermarking for 3D Gaussian Splatting Against 2D and 3D Diffusion Editing cites this paper.
RDSplat: Robust Watermarking for 3D Gaussian Splatting Against 2D and 3D Diffusion Editing SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T00:33:44.661273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f83cbea5-9f4e-44d1-bdd0-89ab94a8b873 · inbound
What if? Emulative Simulation with World Models for Situated Reasoning cites this paper.
What if? Emulative Simulation with World Models for Situated Reasoning SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-07-15T13:51:30.008232Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bba1b6d4-3609-4ea9-a515-fc025b6adf68 · inbound
AlloSpatial: Agentic Harness Framework for Spatial Reasoning in Foundation Models cites this paper.
AlloSpatial: Agentic Harness Framework for Spatial Reasoning in Foundation Models SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T00:37:29.657958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e147e5dc-eb09-4b09-b902-16ed734977d4 · inbound
Holo-Captioning: Toward the Text Equivalent of 3D Scenes cites this paper.
Holo-Captioning: Toward the Text Equivalent of 3D Scenes SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T06:12:48.722467Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01684f2e-885d-4528-b5d0-182573a6ee2e · inbound
G$^2$TAM: Geometry Grounded Track Anything Model cites this paper.
G$^2$TAM: Geometry Grounded Track Anything Model SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T23:56:52.009530Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.