Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:34:54.732094Z
Paper Citation Record · LEDGER
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations
As of 18 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 7 inbound Pith citation observations for arXiv:2506.17545.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T13:00:00.845845Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T21:16:14.446824Z
Reference resolution
51 of 51 outbound references displayed
- verified exact0
- verified fuzzy25
- unresolved26
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ed8e7168-1445-4b8f-b31a-47ef08ff9f0a · outbound
This paper cites Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:35:01.552537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9226bca7-4524-49b8-8091-469a56ba4367 · outbound
This paper cites Scanqa: 3d question answering for spatial scene understanding.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Scanqa: 3d question answering for spatial scene understanding
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:50.187260Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ad1c548-4f4c-4ed3-a81e-26e7e230146d · outbound
This paper cites Qwen2.5-VL Technical Report.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Qwen2.5-VL Technical Report
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:50.293925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3061aad6-af57-490d-8a9f-02616bb75303 · outbound
This paper cites ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:50.424528Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a866976b-438a-45c9-a23b-79a47a285988 · outbound
This paper cites Do as i can, not as i say: Grounding language in robotic affordances.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Do as i can, not as i say: Grounding language in robotic affordances
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:50.502146Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8886deb5-0959-48ae-b47a-f5854c681229 · outbound
This paper cites Scanrefer: 3d object localization in rgb-d scans using natural language.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Scanrefer: 3d object localization in rgb-d scans using natural language
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:50.590561Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 962879af-d356-4703-98e2-e3a1c2052ec4 · outbound
This paper cites R1-v: Reinforcing super generalization ability in vision-language models with less than $3.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations R1-v: Reinforcing super generalization ability in vision-language models with less than $3
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:50.674777Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 279ff78f-65b3-41ff-b81e-d483adeb9d9a · outbound
This paper cites Language conditioned spatial relation reasoning for 3d object grounding.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Language conditioned spatial relation reasoning for 3d object grounding
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:35:01.194834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d0ab54f3-d442-4292-b066-44c289b2dfec · outbound
This paper cites End-to-end 3d dense captioning with vote2cap-detr.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations End-to-end 3d dense captioning with vote2cap-detr
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:35:00.957226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 285d4ae2-ca5a-45aa-8e85-414c5362e4b1 · outbound
This paper cites V ote2cap-detr++: Decoupling localization and describing for end-to-end 3d dense captioning.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations V ote2cap-detr++: Decoupling localization and describing for end-to-end 3d dense captioning
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:35:00.706023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 28a4d20a-9564-41cb-88a2-23ecabea99b9 · outbound
This paper cites Scan2cap: Context-aware dense captioning in rgb-d scans.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Scan2cap: Context-aware dense captioning in rgb-d scans
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:35:00.402504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 28484630-a5d9-4b57-a6a9-8d67a508401c · outbound
This paper cites Functionality understanding and segmentation in 3d scenes.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Functionality understanding and segmentation in 3d scenes
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:35:00.222262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7e5f8c23-6c1c-48b2-b91e-11f77dea73ad · outbound
This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Scannet: Richly-annotated 3d reconstructions of indoor scenes
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:34:59.955079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b253733e-2e3f-400e-8a32-56f2b7b5b772 · outbound
This paper cites Scenefun3d: fine-grained functionality and affordance understanding in 3d scenes.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Scenefun3d: fine-grained functionality and affordance understanding in 3d scenes
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:34:59.666719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7acd6dc5-915f-4e15-b313-13cd14a70da8 · outbound
This paper cites Video-R1: Reinforcing Video Reasoning in MLLMs.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Video-R1: Reinforcing Video Reasoning in MLLMs
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:51.432004Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d14b9ef8-5e7f-4d64-b888-4815955d8d59 · outbound
This paper cites Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:51.467823Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f54d23d-d774-4890-8f84-618e83889bcc · outbound
This paper cites The ecological approach to visual perception: classic edition.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations The ecological approach to visual perception: classic edition
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:51.538593Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0353bd0-68cd-4d0e-b8aa-ee09a817f793 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:51.580536Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 005ced98-3c95-48b2-9856-325d9f985566 · outbound
This paper cites Viewrefer: Grasp the multi-view knowledge for 3d visual grounding.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Viewrefer: Grasp the multi-view knowledge for 3d visual grounding
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:34:59.393195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b9d52e38-0094-444f-aa1f-65c4f97ce632 · outbound
This paper cites Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:51.681819Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14668d63-bd0c-49fa-be77-36c52ef52330 · outbound
This paper cites Chat-scene: Bridging 3d scene and large language models with object identifiers.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Chat-scene: Bridging 3d scene and large language models with object identifiers
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:34:59.186224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8c1c1e4c-3e24-4bd9-b9eb-e8941c7b684e · outbound
This paper cites An Embodied Generalist Agent in 3D World.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations An Embodied Generalist Agent in 3D World
Reference 22
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 353c30ed-8014-4f78-8788-fbacb505715b · outbound
This paper cites Text-guided graph neural networks for referring 3d instance segmentation.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Text-guided graph neural networks for referring 3d instance segmentation
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:34:58.944257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fbc57c2c-1005-4aa4-8900-2cdb4a8f0385 · outbound
This paper cites Multi-view transformer for 3d visual grounding.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Multi-view transformer for 3d visual grounding
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:34:58.705701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1e59bc04-336c-47d1-8f1d-34864794b21f · outbound
This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:52.047794Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c7ebe5b-73ec-46c8-b30a-254cba943b27 · outbound
This paper cites Bottom up top down detection transformers for language grounding in images and point clouds.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Bottom up top down detection transformers for language grounding in images and point clouds
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:34:58.471374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8b4f9729-5c84-4207-bc3a-ddc83b247789 · outbound
This paper cites Lerf: Language embedded radiance fields.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Lerf: Language embedded radiance fields
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:52.196735Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ff9199b-effe-478f-8564-e0160dc4a7d3 · outbound
This paper cites VideoChat: Chat-Centric Video Understanding.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations VideoChat: Chat-Centric Video Understanding
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:52.248369Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e234c58c-8045-4310-aedb-429afb0f45c3 · outbound
This paper cites SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:52.340466Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5228ce6a-ba5c-47d6-9e27-6a5406917599 · outbound
This paper cites Sqa3d: Situated question answering in 3d scenes.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Sqa3d: Situated question answering in 3d scenes
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:52.404835Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ecf0d1f-e033-4411-999d-0edd71d31830 · outbound
This paper cites Introducing openai o1.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Introducing openai o1
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:34:58.064915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1ce32298-8785-4299-8788-d676de5a47d2 · outbound
This paper cites Openscene: 3d scene understanding with open vocabularies.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Openscene: 3d scene understanding with open vocabularies
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:34:57.587518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e405d8fc-4ca3-4d86-bc3f-00c087ee3ed9 · outbound
This paper cites Learning transferable visual models from natural language supervision.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Learning transferable visual models from natural language supervision
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:34:57.324756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 69fe2126-b29c-4af0-95a6-dd0306ff9b4e · outbound
This paper cites SAM 2: Segment Anything in Images and Videos.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations SAM 2: Segment Anything in Images and Videos
Reference 35
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3fa0c00-fe7f-4026-abb8-a8b4ab348688 · outbound
This paper cites High-resolution image synthesis with latent diffusion models, 2021.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations High-resolution image synthesis with latent diffusion models, 2021
Reference 36
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82a2a810-cd69-4659-bd7e-d28eb2c4c698 · outbound
This paper cites Proximal Policy Optimization Algorithms.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Proximal Policy Optimization Algorithms
Reference 37
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4bd2fa6a-d9fb-41b5-a809-f01b28e6e8d0 · outbound
This paper cites Mask3d: Mask transformer for 3d semantic instance segmentation.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Mask3d: Mask transformer for 3d semantic instance segmentation
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:34:57.078831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 45df17a8-1db0-49b3-bf58-476513600938 · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:53.304750Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2563195-10da-4789-9fb6-4383212f9d6a · outbound
This paper cites Chatgpt for robotics: Design principles and model abilities.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Chatgpt for robotics: Design principles and model abilities
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:34:56.868146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 67ca3aea-21d9-42f0-82e8-0d874e7f886f · outbound
This paper cites Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:53.529692Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78530adf-24b4-4652-b6b5-b232e77c5410 · outbound
This paper cites Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:53.624919Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6bf266ad-34ce-4b37-a064-63a11da1e28c · outbound
This paper cites Distilling coarse-to-fine semantic matching knowledge for weakly supervised 3d visual grounding.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Distilling coarse-to-fine semantic matching knowledge for weakly supervised 3d visual grounding
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:34:56.650264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f3770be4-4d4c-46c4-ab61-fa2d0697575d · outbound
This paper cites Pointllm: Empower- ing large language models to understand point clouds.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Pointllm: Empower- ing large language models to understand point clouds
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:34:56.416286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 05da5af7-46a8-4a2d-af28-13db6388021c · outbound
This paper cites Instancerefer: Cooperative holistic understanding for visual grounding on point clouds through instance multi-level contextual referring.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Instancerefer: Cooperative holistic understanding for visual grounding on point clouds through instance multi-level contextual referring
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:34:56.111190Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7a2cf311-ede6-42a4-a5a4-ce6053d4b62d · outbound
This paper cites Visual programming for zero-shot open-vocabulary 3d visual grounding.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Visual programming for zero-shot open-vocabulary 3d visual grounding
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:54.128620Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a39f9cf-49bf-44fc-bc8c-6d39f64c550d · outbound
This paper cites Empowering large language models with 3d situation awareness.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Empowering large language models with 3d situation awareness
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:34:55.935976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 494884c1-1a1c-49cf-a2f6-49713e22119b · outbound
This paper cites 3dvg-transformer: Relation modeling for visual grounding on point clouds.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations 3dvg-transformer: Relation modeling for visual grounding on point clouds
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:34:55.760801Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3df51210-40c0-4bee-ae88-a9c4dfca88e0 · outbound
This paper cites BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:54.466311Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca3eb5f5-d067-4075-b7e1-c7514176b17b · outbound
This paper cites Uni3D: Exploring Unified 3D Representation at Scale.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Uni3D: Exploring Unified 3D Representation at Scale
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:54.555746Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64d34c28-84ba-4862-84ad-17a14bb5ecd8 · outbound
This paper cites 3d-vista: Pre-trained transformer for 3d vision and text alignment.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations 3d-vista: Pre-trained transformer for 3d vision and text alignment
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:34:55.621691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ad927a9d-0c9f-4e92-80ff-8f16ffaec360 · outbound
This paper cites [EVENT]" in the video, determine the precise time period of the occurrence of the object. Provide the start and end times (in seconds, precise to one decimal place) in the format.
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations [EVENT]" in the video, determine the precise time period of the occurrence of the object. Provide the start and end times (in seconds, precise to one decimal place) in the format
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T23:34:55.426439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
Observation a03740dc-991f-46e0-b652-48ad2b8c165e · inbound
3D-R1: Enhancing Reasoning in 3D VLMs for Unified Scene Understanding cites this paper.
3D-R1: Enhancing Reasoning in 3D VLMs for Unified Scene Understanding Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:49:47.113836Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc1d0c90-7740-4d73-9f6f-43a60c62986c · inbound
What if? Emulative Simulation with World Models for Situated Reasoning cites this paper.
What if? Emulative Simulation with World Models for Situated Reasoning Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations
Reference 115
- 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 b6c9fc21-e333-4f3e-a41d-595aa2598a86 · inbound
Token Warping Helps MLLMs Look from Nearby Viewpoints cites this paper.
Token Warping Helps MLLMs Look from Nearby Viewpoints Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations
Reference 117
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T21:08:17.348876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f454b41e-fca4-4ae5-8299-3dba8be8881e · 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 Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T05:28:04.506945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8b7f3447-d5a3-469b-a3dd-700edaba72ba · inbound
Distilling Neuro-Symbolic Programs into 3D Multi-modal LLMs cites this paper.
Distilling Neuro-Symbolic Programs into 3D Multi-modal LLMs Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T21:16:14.448373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5e2d5bd9-7531-4e87-b024-96a063370336 · inbound
Distilling Neuro-Symbolic Programs into 3D Multi-modal LLMs cites this paper.
Distilling Neuro-Symbolic Programs into 3D Multi-modal LLMs Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T11:34:38.162717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 445c9bd0-66c0-4450-b783-e35f4a0881a3 · inbound
ThinkAfford: Affordance-Centric Reasoning for Fine-Grained 3D Grounding in Cluttered Scenes cites this paper.
ThinkAfford: Affordance-Centric Reasoning for Fine-Grained 3D Grounding in Cluttered Scenes Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:00:00.845845Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.