Paper Citation Record · LEDGER

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM

As of 15 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2607.05493.

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

pith.paper-citation-record.v1
2607.05493 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T07:00:06.887909Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

verified exact0
verified fuzzy0
unresolved47
parse uncertain1
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7fbfe4f1-87ff-4aa8-8c15-5e1d3f471fb9 · outbound

This paper cites Referit3D: Neural listeners for fine-grained 3D object identification in real-world scenes.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Referit3D: Neural listeners for fine-grained 3D object identification in real-world scenes

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Observation aeaa3a1f-3ccd-4e7d-94ec-798e8059b9da · outbound

This paper cites Kestrel: 3D multimodal llm for part-aware grounded description.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Kestrel: 3D multimodal llm for part-aware grounded description

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Observation 6ff0dec0-4444-4f76-b510-2d7a63ad383a · outbound

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

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Scanqa: 3D question answering for spatial scene understanding

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Observation 34211933-6998-4e76-a3bd-26e464b8d146 · outbound

This paper cites Qwen3-VL Technical Report.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Qwen3-VL Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Observation c7f4a444-f0c1-4339-bc21-687174d5f48b · outbound

This paper cites OPEN-YOLO 3D: Towards fast and accurate open-vocabulary 3D instance segmentation.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM OPEN-YOLO 3D: Towards fast and accurate open-vocabulary 3D instance segmentation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Unavailable: canonical work link unavailable.

Observation 914028de-8979-4a28-b8fb-a6d0b3cc3d7f · outbound

This paper cites Spatialvlm: Endowing vision-language models with spatial reasoning capabilities.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Spatialvlm: Endowing vision-language models with spatial reasoning capabilities

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e053c2d-1e81-4acb-9c22-26d7145cab6f · outbound

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

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Scanrefer: 3D object localization in rgb-d scans using natural language

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6a11c7d-6ac9-447d-9978-fc376cba04b5 · outbound

This paper cites SD-VLM: Spatial measuring and understanding with depth-encoded vision-language models.arXiv preprint arXiv:2509.17664, 2025.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM SD-VLM: Spatial measuring and understanding with depth-encoded vision-language models.arXiv preprint arXiv:2509.17664, 2025

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38952829-d990-4a0a-9986-0d2c01dd6aed · outbound

This paper cites SpatialRGPT: Grounded spatial reasoning in vision-language models.Advances in Neural Information Processing Systems, 37:135062–135093, 2024.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM SpatialRGPT: Grounded spatial reasoning in vision-language models.Advances in Neural Information Processing Systems, 37:135062–135093, 2024

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Observation 2e67eb86-6367-47a2-b529-8eb5951d43ec · outbound

This paper cites 4D spatio-temporal convnets: Minkowski con- volutional neural networks.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM 4D spatio-temporal convnets: Minkowski con- volutional neural networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

Source-reported events for the cited work

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Observation 8c073c39-2917-48b2-93cc-e3e4fabb1f38 · outbound

This paper cites Spconv: Spatially sparse convolution library.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Spconv: Spatially sparse convolution library

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Observation 3e4fa938-8774-4d12-8ee8-3d1a06e055da · outbound

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

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Scannet: Richly-annotated 3D reconstructions of indoor scenes

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Observation e9acc02d-1a39-4c47-8ecc-a457ecd8206c · outbound

This paper cites MM-Spatial: Exploring 3D spatial understanding in multimodal LLMs, 2025.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM MM-Spatial: Exploring 3D spatial understanding in multimodal LLMs, 2025

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Unavailable: canonical work link unavailable.

Observation 98b77c19-369c-4b00-b1b4-bef3da8a232a · outbound

This paper cites Segpoint: Segment any point cloud via large language model.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Segpoint: Segment any point cloud via large language model

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Observation 976c6dc2-04d9-456c-9766-ec30e1edb0bc · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM LoRA: Low-rank adaptation of large language models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Observation 2d057c75-08b0-4d00-ad4f-1f5d805b3197 · outbound

This paper cites MLLM-For3D: Adapting multimodal large language model for 3D reasoning segmentation.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM MLLM-For3D: Adapting multimodal large language model for 3D reasoning segmentation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Unavailable: canonical work link unavailable.

Observation 08dc9d04-6e6d-420a-917d-7d861e367414 · outbound

This paper cites Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a9e9ebc-7251-4165-a5d4-ba9a5895d877 · outbound

This paper cites Text-guided graph neural networks for referring 3D instance segmentation.AAAI, 35(2):1610–1618, May 2021.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Text-guided graph neural networks for referring 3D instance segmentation.AAAI, 35(2):1610–1618, May 2021

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Observation 121cd119-b855-4d3e-bb9e-b68161e39acd · outbound

This paper cites Openclip.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Openclip

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Unavailable: canonical work link unavailable.

Observation 4bfbc7c2-6861-42b0-bfcd-6a24fc56eae7 · outbound

This paper cites Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point Clouds.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point Clouds

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Unavailable: canonical work link unavailable.

Observation dfa662b9-857b-47f9-9c2f-ff9efc8b8e46 · outbound

This paper cites Intent3D: 3D Object Detection in RGB-D Scans Based on Human Intention.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Intent3D: 3D Object Detection in RGB-D Scans Based on Human Intention

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Unavailable: canonical work link unavailable.

Observation 522528e5-b386-4a05-9928-bed4dee7463c · outbound

This paper cites Paris3D: Reasoning-based 3D part segmentation using large multimodal model.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Paris3D: Reasoning-based 3D part segmentation using large multimodal model

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Observation fb73473c-1e89-4159-a653-447a6e8293c3 · outbound

This paper cites Seeground: See and ground for zero-shot open-vocabulary 3D visual grounding.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Seeground: See and ground for zero-shot open-vocabulary 3D visual grounding

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Unavailable: canonical work link unavailable.

Observation f2dba8c2-9b2f-4e5c-905f-d8398ba08bc4 · outbound

This paper cites Instance segmentation in 3D scenes using semantic superpoint tree networks.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Instance segmentation in 3D scenes using semantic superpoint tree networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

Source-reported events for the cited work

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Observation 23742aa8-b1fc-4079-8d91-e5bdf64636e4 · outbound

This paper cites Partslip: Low-shot part segmentation for 3D point clouds via pretrained image-language models.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Partslip: Low-shot part segmentation for 3D point clouds via pretrained image-language models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

Source-reported events for the cited work

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Observation a4f03636-dedf-4b50-ad3c-140accd43848 · outbound

This paper cites Decoupled weight decay regularization.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Decoupled weight decay regularization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Observation 68461a9c-4313-416c-819c-3f923628fa31 · outbound

This paper cites SQA3D: Situated question answering in 3D scenes.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM SQA3D: Situated question answering in 3D scenes

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Observation c43534d9-1bd4-48ac-af7c-b3bd08fe0657 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Observation 134c746c-0264-4265-91ea-6905405251f7 · outbound

This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM V-net: Fully convolutional neural networks for volumetric medical image segmentation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Observation 67aa20a1-04fb-463f-b0d6-5a8b0e6c753c · outbound

This paper cites Open3DIS: Open-vocabulary 3D instance segmentation with 2D mask guidance.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Open3DIS: Open-vocabulary 3D instance segmentation with 2D mask guidance

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

Source-reported events for the cited work

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Observation b663a8c1-58e5-464a-bfed-082d7fbdb180 · outbound

This paper cites GPT-4 technical report, 2023.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM GPT-4 technical report, 2023

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Observation 6924e58b-26ee-4df7-8015-bd4fb938c96e · outbound

This paper cites Learning transferable visual models from natural language supervision.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Learning transferable visual models from natural language supervision

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Observation 1d9b1836-1c10-48fe-a5fc-6a708f61e258 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM SAM 2: Segment Anything in Images and Videos

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Observation fcd577b1-6a99-4d49-a00b-260eaf299601 · outbound

This paper cites Grounded SAM: Assembling open-world models for diverse visual tasks, 2024.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Grounded SAM: Assembling open-world models for diverse visual tasks, 2024

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Observation 34cee88d-ba9c-4fdd-bd42-1adf04fbe1f7 · outbound

This paper cites Efficient 3D semantic segmentation with superpoint transformer.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Efficient 3D semantic segmentation with superpoint transformer

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Observation a8c06fcf-11f4-4360-b6c8-8df467b95593 · outbound

This paper cites LAION-5B: An open large-scale dataset for training next generation image-text models.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM LAION-5B: An open large-scale dataset for training next generation image-text models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Observation 2d7f1781-bafd-404b-a0ee-6e0997152b74 · outbound

This paper cites N3D-VLM: Native 3D grounding enables accurate spatial reasoning in vision-language models.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM N3D-VLM: Native 3D grounding enables accurate spatial reasoning in vision-language models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Unavailable: canonical work link unavailable.

Observation 2be777a8-db10-4ae9-9c3f-c5d3fcbe499f · outbound

This paper cites 3D-STMN: Dependency-driven superpoint-text matching network for end-to-end 3D referring expression segmentation.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM 3D-STMN: Dependency-driven superpoint-text matching network for end-to-end 3D referring expression segmentation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Observation 1b62f83b-d8b6-430e-b4f7-c58eeff41f20 · outbound

This paper cites Eda: Explicit text-decoupling and dense alignment for 3D visual grounding.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Eda: Explicit text-decoupling and dense alignment for 3D visual grounding

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae6b6ffb-60c6-402c-991f-5eb1c79e4ed9 · outbound

This paper cites S 2-MLLM: Boosting spatial reasoning capability of mllms for 3D visual grounding with structural guidance.arXiv preprint arXiv:2512.01223, 2025.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM S 2-MLLM: Boosting spatial reasoning capability of mllms for 3D visual grounding with structural guidance.arXiv preprint arXiv:2512.01223, 2025

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2ec79d2-ff44-4537-83a3-bce9439fcbee · outbound

This paper cites A unified framework for 3D scene understanding.Advances in Neural Information Processing Systems, 37:59468–59490, 2024.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM A unified framework for 3D scene understanding.Advances in Neural Information Processing Systems, 37:59468–59490, 2024

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Unavailable: canonical work link unavailable.

Observation 7ea99656-2dfd-4f80-85a3-1fea28f37b01 · outbound

This paper cites Scannet++: A high-fidelity dataset of 3D indoor scenes.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Scannet++: A high-fidelity dataset of 3D indoor scenes

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d9cc1e1-f181-4eda-9b4f-1f5aaf81c375 · outbound

This paper cites Inst3d-lmm: Instance-aware 3D scene understanding with multi-modal instruction tuning.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Inst3d-lmm: Instance-aware 3D scene understanding with multi-modal instruction tuning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Unavailable: canonical work link unavailable.

Observation 7b862ed8-e7f5-4655-a5f5-687f0eff9bc3 · outbound

This paper cites Instancerefer: Cooperative holistic understanding for visual grounding on point clouds through instance multi-level contextual referring.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Instancerefer: Cooperative holistic understanding for visual grounding on point clouds through instance multi-level contextual referring

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Observation d7de9d14-5f50-4c0d-9d27-06052a9dc791 · outbound

This paper cites MM1.5: Methods, analysis & insights from multimodal LLM fine-tuning, 2024.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM MM1.5: Methods, analysis & insights from multimodal LLM fine-tuning, 2024

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Observation 5d50611d-7e06-45a9-88e9-7348aebd6b9d · outbound

This paper cites near the door.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM near the door

Reference 46

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Observation c9cd55b6-8fbb-436f-9b59-c70159c17ddc · outbound

This paper cites an unresolved cited work.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Unresolved cited work

Reference 47

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Observation 71b033a4-c645-42a8-97fe-a39b0c7ae8e9 · outbound

This paper cites an unresolved cited work.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM Unresolved cited work

Reference 48

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Observation be97dda2-7df4-4469-917a-062517815351 · outbound

This paper cites to the left of the table.

Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM to the left of the table

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-11T07:00:06.887909Z

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Pith citing papers

No inbound Pith citation observations are available.