Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation | Paper Citation Record

Observation 325774cd-e2b0-4437-9db1-1771425d731c · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Flamingo: a visual language model for few-shot learning

Reference 1

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Observation 6a7764da-d893-49aa-80d6-879fc4821c98 · outbound

This paper cites Scanqa: 3d question answering for spatial scene understanding.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Scanqa: 3d question answering for spatial scene understanding

Reference 2

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Observation ec84b564-9542-4b2a-b53d-af68d50282d6 · outbound

This paper cites Semantic scene com- pletion via integrating instances and scene in-the-loop.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Semantic scene com- pletion via integrating instances and scene in-the-loop

Reference 3

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This paper cites Scanrefer: 3d object localization in rgb-d scans using natural language.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Scanrefer: 3d object localization in rgb-d scans using natural language

Reference 4

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This paper cites Language conditioned spatial relation reasoning for 3d object grounding.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Language conditioned spatial relation reasoning for 3d object grounding

Reference 5

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Observation 5b1a3463-d775-4faf-b2e6-b2f6a048ebe2 · outbound

This paper cites Ll3da: Visual interactive instruction tuning for omni-3d understand- ing reasoning and planning.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Ll3da: Visual interactive instruction tuning for omni-3d understand- ing reasoning and planning

Reference 6

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Observation becd4c34-3a8b-4b1e-9027-ac8dbaaa3d1b · outbound

This paper cites Mppnet: Multi-frame feature intertwining with proxy points for 3d temporal ob- ject detection.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Mppnet: Multi-frame feature intertwining with proxy points for 3d temporal ob- ject detection

Reference 7

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Observation fd2f6363-7d1b-458d-a749-37362235b4e2 · outbound

This paper cites Trajectoryformer: 3d object tracking transformer with predictive trajectory hypotheses.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Trajectoryformer: 3d object tracking transformer with predictive trajectory hypotheses

Reference 8

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Observation 1c299235-7d13-492f-b05f-0ee47acad1ef · outbound

This paper cites Grounded 3D-LLM with Referent Tokens.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Grounded 3D-LLM with Referent Tokens

Reference 9

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Observation a1c83751-31cb-426a-ac9f-b69ab4ad7c73 · outbound

This paper cites Reslt: Residual learning for long-tailed recog- nition.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Reslt: Residual learning for long-tailed recog- nition

Reference 10

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Observation 458a1831-5f2a-48fc-803e-39cdd608875a · outbound

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

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 11

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Observation 94ac9a92-49d9-42d3-8d0f-78cc8cc7c625 · outbound

This paper cites MTA-CLIP: Language-Guided Semantic Segmentation with Mask-Text Alignment.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation MTA-CLIP: Language-Guided Semantic Segmentation with Mask-Text Alignment

Reference 12

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Observation e112cc66-d919-4cc3-b7ea-c1c26b72a5df · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 13

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Observation 90af0a97-5bb2-413d-9280-9877aa54cf5e · outbound

This paper cites Pla: Language-driven open- vocabulary 3d scene understanding.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Pla: Language-driven open- vocabulary 3d scene understanding

Reference 14

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This paper cites The llama 3 herd of models, 2024.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation The llama 3 herd of models, 2024

Reference 15

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Observation 44a72786-e440-4241-b3d0-a9436f35572d · outbound

This paper cites Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following

Reference 16

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Observation ad57e631-7596-4529-8f48-cc1ce6ee5a4d · outbound

This paper cites ImageBind-LLM: Multi-modality Instruction Tuning.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation ImageBind-LLM: Multi-modality Instruction Tuning

Reference 17

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Observation 97ce80bc-d7d0-4338-a09c-467d0f2c3547 · outbound

This paper cites 3d-llm: Inject- ing the 3d world into large language models.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation 3d-llm: Inject- ing the 3d world into large language models

Reference 18

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Observation 0f9edb34-9b72-4b97-8b5d-91ae6ec18f30 · outbound

This paper cites Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers

Reference 19

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Observation 34d95fbc-e937-4715-9210-663522ad7705 · outbound

This paper cites An Embodied Generalist Agent in 3D World.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation An Embodied Generalist Agent in 3D World

Reference 20

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Observation 4b4618bd-cdea-4d2c-828d-1afa9f1c645b · outbound

This paper cites Multi- view transformer for 3d visual grounding.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Multi- view transformer for 3d visual grounding

Reference 21

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Observation 62e5aba4-dde3-4665-b802-8ea3177c3189 · outbound

This paper cites SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding

Reference 22

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This paper cites Guided point contrastive learn- ing for semi-supervised point cloud semantic segmentation.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Guided point contrastive learn- ing for semi-supervised point cloud semantic segmentation

Reference 23

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This paper cites Segment Anything.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Segment Anything

Reference 24

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This paper cites Oneformer3d: One transformer for unified point cloud segmentation.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Oneformer3d: One transformer for unified point cloud segmentation

Reference 25

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Observation 76ace732-993f-481d-af74-7ab8261c1a13 · outbound

This paper cites Lisa: Reasoning segmentation via large language model.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Lisa: Reasoning segmentation via large language model

Reference 26

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This paper cites Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs

Reference 27

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Observation b4becde9-e5fd-46d0-80c8-0fe3f452cab6 · outbound

This paper cites Large-scale point cloud semantic segmentation with superpoint graphs.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Large-scale point cloud semantic segmentation with superpoint graphs

Reference 28

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This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 29

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This paper cites Uni3D-LLM: Unifying Point Cloud Perception, Generation and Editing with Large Language Models.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Uni3D-LLM: Unifying Point Cloud Perception, Generation and Editing with Large Language Models

Reference 30

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Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Decoupled Weight Decay Regularization

Reference 31

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This paper cites SQA3D: Situated Question Answering in 3D Scenes.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation SQA3D: Situated Question Answering in 3D Scenes

Reference 32

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This paper cites An end-to-end transformer model for 3d object detection.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation An end-to-end transformer model for 3d object detection

Reference 33

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Observation dd071416-a327-43c7-a1db-a6996a849c5f · outbound

This paper cites Boosting few-shot 3d point cloud segmentation via query-guided enhancement.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Boosting few-shot 3d point cloud segmentation via query-guided enhancement

Reference 34

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Observation 50ced8bf-31e5-4b03-8fc6-e2c65b4f4d2d · outbound

This paper cites Hierarchi- cal dense correlation distillation for few-shot segmentation.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Hierarchi- cal dense correlation distillation for few-shot segmentation

Reference 35

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Observation f7cae70b-0dc2-4b0c-8eb7-ce7ca5f1d669 · outbound

This paper cites Scalable Language Model with Generalized Continual Learning.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Scalable Language Model with Generalized Continual Learning

Reference 36

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This paper cites Oa-cnns: Omni- adaptive sparse cnns for 3d semantic segmentation.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Oa-cnns: Omni- adaptive sparse cnns for 3d semantic segmentation

Reference 37

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This paper cites Openscene: 3d scene understanding with open vocabularies.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Openscene: 3d scene understanding with open vocabularies

Reference 38

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Observation 56dc775b-f6a2-446e-a8c0-172202b6e50c · outbound

This paper cites Explore the potential of clip for training-free open vocab- ulary semantic segmentation.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Explore the potential of clip for training-free open vocab- ulary semantic segmentation

Reference 39

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Observation 61f5a869-bb7a-4f88-b675-271d3b0fe13b · outbound

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Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Pointr- cnn: 3d object proposal generation and detection from point cloud

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:53:10.816844Z

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Observation 1096ace6-d48f-4595-b0ac-f2ab5e1a36b7 · outbound

This paper cites OpenMask3D: Open-Vocabulary 3D Instance Segmentation.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation OpenMask3D: Open-Vocabulary 3D Instance Segmentation

Reference 41

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Observation 78a01afb-911b-4a4b-b494-590f26f7df4c · outbound

This paper cites Mind the interference: Retaining pre-trained knowledge in parameter efficient continual learning of vision-language models.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Mind the interference: Retaining pre-trained knowledge in parameter efficient continual learning of vision-language models

Reference 42

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Observation 934c49e3-811d-49b1-b6ca-78cb5612802d · outbound

This paper cites Learning shape-aware embedding for scene text detection.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Learning shape-aware embedding for scene text detection

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:53:10.428096Z

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Observation 0c26d983-be1a-410b-ae62-43726fbc61fc · outbound

This paper cites Prior guided feature enrich- ment network for few-shot segmentation.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Prior guided feature enrich- ment network for few-shot segmentation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:53:10.189030Z

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Observation 8e314eef-7b3c-45b6-b717-432117460287 · outbound

This paper cites Adaptive perspective distillation for semantic segmen- tation.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Adaptive perspective distillation for semantic segmen- tation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:53:09.980659Z

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Observation 17d04d7b-54fd-4bcc-8dec-367477883c72 · outbound

This paper cites Generalized few-shot semantic segmentation.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Generalized few-shot semantic segmentation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:53:09.786638Z

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Observation 8cc5ac61-fe44-428f-8d39-d6f24a46680b · outbound

This paper cites Learning context-aware classifier for semantic segmentation.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Learning context-aware classifier for semantic segmentation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:53:09.577862Z

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Observation 04974178-964d-4fc1-abcf-d397d4456184 · outbound

This paper cites Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D Scenes.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D Scenes

Reference 48

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Observation 19030596-2323-44f8-bf0a-ff83d7969880 · outbound

This paper cites Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

Reference 49

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Observation 8e24a87e-fa6e-47ec-80aa-350393141259 · outbound

This paper cites PointLLM: Empowering Large Language Models to Understand Point Clouds.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 50

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Observation cd0acc59-f07b-445c-a6af-dd175fe92d31 · outbound

This paper cites Llm- grounder: Open-vocabulary 3d visual grounding with large language model as an agent.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Llm- grounder: Open-vocabulary 3d visual grounding with large language model as an agent

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:53:09.433475Z

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Observation 222944e9-9eef-4452-891d-bcb190a9e218 · outbound

This paper cites LISA++: An Improved Baseline for Reasoning Segmentation with Large Language Model.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation LISA++: An Improved Baseline for Reasoning Segmentation with Large Language Model

Reference 52

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Observation 691d61e1-8cbe-46c6-bf68-9bd49f55c352 · outbound

This paper cites Unified language-driven zero-shot domain adaptation.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Unified language-driven zero-shot domain adaptation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:53:09.286190Z

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Observation e364c948-8f20-4ccd-9c55-f72f539d2bca · outbound

This paper cites Visionzip: Longer is better but not necessary in vision language models.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Visionzip: Longer is better but not necessary in vision language models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:53:09.155714Z

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Observation 59b157f9-8fa1-4d26-9496-c327aeed8fc7 · outbound

This paper cites MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T21:53:02.923647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ab31b1a-6074-49f5-a2cf-f4ec5ac7f4da · outbound

This paper cites mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T21:53:02.977100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 944d160a-1c9a-4f48-a492-c43445372d40 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation OPT: Open Pre-trained Transformer Language Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T21:53:03.034745Z

Source-reported events for the cited work

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Observation 1ea536c1-6748-486c-aed5-8131ee72c7df · outbound

This paper cites Multi3drefer: Grounding text description to multiple 3d objects.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Multi3drefer: Grounding text description to multiple 3d objects

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:53:08.978931Z

Source-reported events for the cited work

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Observation ce0c7d61-939f-4525-b2a1-c6a915a0a248 · outbound

This paper cites 3dvg- transformer: Relation modeling for visual grounding on point clouds.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation 3dvg- transformer: Relation modeling for visual grounding on point clouds

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:53:08.839030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5fd12392-a455-441a-8630-a817b0b433fe · outbound

This paper cites ScanReason: Empowering 3D Visual Grounding with Reasoning Capabilities.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation ScanReason: Empowering 3D Visual Grounding with Reasoning Capabilities

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T21:53:03.225641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8820c6be-a73e-4ae8-a85b-38ae4e588bf0 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T21:53:03.285974Z

Source-reported events for the cited work

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Observation c264643a-7b76-4de0-9b77-f692ca3febba · outbound

This paper cites in the right of.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation in the right of

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:53:08.641534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 79c14c01-dd42-438c-8312-73dd76869e8b · outbound

This paper cites Focus on detecting and distinguishing objects.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Focus on detecting and distinguishing objects

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:53:08.491329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 325f6a96-a76f-4951-8e96-bad0ba2a8387 · outbound

This paper cites an unresolved cited work.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:53:08.344472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 05db9656-4a26-484c-add9-192c02bf0113 · outbound

This paper cites an unresolved cited work.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:53:08.151275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 560ad566-91ec-441d-af03-e42af7682409 · outbound

This paper cites an unresolved cited work.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:53:08.004162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 61cf7d28-9358-4867-85b6-8c1c07519fab · outbound

This paper cites an unresolved cited work.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:53:07.821554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ac8e90e1-e941-4283-8a6f-0a8799e076db · outbound

This paper cites an unresolved cited work.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:53:07.673168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ba3b2e56-4854-4d61-ad78-6809cc68d482 · outbound

This paper cites For multiple objects of the same category, use [<ins_id>][<ins_id>][<ins_id>], etc.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation For multiple objects of the same category, use [<ins_id>][<ins_id>][<ins_id>], etc

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:53:07.463313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 90115f2d-f5d1-4533-8061-275982f0466d · outbound

This paper cites an unresolved cited work.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:53:07.134037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 83c98ba2-e58d-42af-8cde-eca333407c73 · outbound

This paper cites an unresolved cited work.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:53:06.791230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 684938be-0073-4770-8639-a5573a11fc08 · outbound

This paper cites Don't output anything else.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Don't output anything else

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:53:06.518179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dfe122b5-8d40-4404-9fa1-d59bf2f82354 · outbound

This paper cites Analyze the properties and spatial relationship of objects in the scene.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Analyze the properties and spatial relationship of objects in the scene

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:53:06.182178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 555da127-ea1a-47e9-93b8-43a22e8f0a3c · outbound

This paper cites Don't output anything else.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Don't output anything else

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:53:05.893817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1dc3a3b7-e30e-4d0a-a3b0-e4bf029bbf62 · outbound

This paper cites an unresolved cited work.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:53:05.705709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0c966068-2eff-4233-b2eb-aea3fb3858e4 · outbound

This paper cites Analyze the description and identify description-related objects.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Analyze the description and identify description-related objects

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:53:05.526378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4ab6c0e7-5250-42a7-a73c-9fe22efa05d4 · outbound

This paper cites Don't output any other things.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Don't output any other things

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:53:05.267420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers