Paper Citation Record · LEDGER

Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations

As of 9 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 6 inbound Pith citation observations for arXiv:2506.17545.

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

pith.paper-citation-record.v1
2506.17545 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:34:54.732094Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:49:47.113836Z

measured 0 of 1 external citation measurements

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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; no resolver link, observed 2026-08-06T23:34:51.827382Z

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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; no resolver link, observed 2026-08-06T23:34:53.004776Z

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; no resolver link, observed 2026-08-06T23:34:53.075943Z

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; no resolver link, observed 2026-08-06T23:34:53.147630Z

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.