NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding | Paper Citation Record

Observation b835252d-3b07-40c9-a903-615b1f03eb5e · outbound

This paper cites GPT-4 Technical Report.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding GPT-4 Technical Report

Reference 1

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Observation f86a609e-f11a-4be5-a3ef-d675240390ea · outbound

This paper cites Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes

Reference 2

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Observation e36935a6-65fa-4b73-8f8e-fc504753a67f · outbound

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

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Flamingo: a visual language model for few-shot learning

Reference 3

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Observation e5e5bd75-cc94-48f5-9124-46710c5f20eb · outbound

This paper cites ShapeNeRF–Text: A Dataset of Neural Object Renderings with Rich Language Descriptions.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding ShapeNeRF–Text: A Dataset of Neural Object Renderings with Rich Language Descriptions

Reference 4

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Observation 859c74ae-622a-44d6-ac40-5754879b1047 · outbound

This paper cites Llana: Large language and nerf assistant.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Llana: Large language and nerf assistant

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:14.356360Z

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Observation 49a81f53-61a3-430e-ad8c-099f512b945e · outbound

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

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Scanqa: 3d question answering for spatial scene understanding

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:14.077094Z

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Observation 48de0090-5227-4d2e-bdf0-c66f75c7874f · outbound

This paper cites CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout

Reference 7

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Observation a5a0aff7-ee4b-4aac-8dd4-51cc63de8dbc · outbound

This paper cites Connecting nerfs images and text.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Connecting nerfs images and text

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:13.890929Z

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Observation 55ebde29-211c-475b-8f50-c6dcd892dc9c · outbound

This paper cites Neural Processing of Tri-Plane Hybrid Neural Fields.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Neural Processing of Tri-Plane Hybrid Neural Fields

Reference 9

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Observation e9faa312-f256-4234-ba8a-60dc2e4e8714 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding ShapeNet: An Information-Rich 3D Model Repository

Reference 10

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This paper cites Tensorf: Tensorial radiance fields.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Tensorf: Tensorial radiance fields

Reference 11

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Observation 00532071-50f2-4488-8960-5bd6eb9173f0 · outbound

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

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Scanrefer: 3d object localization in rgb-d scans using natural language

Reference 12

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Observation 73726ca9-4546-48a2-8657-49909d9a5b56 · outbound

This paper cites VideoLLM: Modeling Video Sequence with Large Language Models.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding VideoLLM: Modeling Video Sequence with Large Language Models

Reference 13

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Observation 727cc961-4c35-487d-a8bf-dac8ce28af14 · outbound

This paper cites MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Reference 14

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Observation dd635596-703e-4a63-891b-c16b2191c493 · outbound

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

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Language conditioned spatial relation reasoning for 3d object grounding

Reference 15

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Observation a794db84-808c-4359-958e-c65bedd801ef · outbound

This paper cites MVT: Multi-view Vision Transformer for 3D Object Recognition.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding MVT: Multi-view Vision Transformer for 3D Object Recognition

Reference 16

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Observation 55d7e0a5-0106-4e12-834e-ce23aca332a4 · outbound

This paper cites End-to-end 3d dense captioning with vote2cap-detr.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding End-to-end 3d dense captioning with vote2cap-detr

Reference 17

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Observation 82fc555f-bfa3-451f-8a38-164ed370c518 · outbound

This paper cites V ote2cap-detr++: Decoupling localization and describing for end-to-end 3d dense captioning.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding V ote2cap-detr++: Decoupling localization and describing for end-to-end 3d dense captioning

Reference 18

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Observation e1446d83-51db-4fcf-a3b8-66c076d2442c · outbound

This paper cites Scan2cap: Context-aware dense captioning in rgb-d scans.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Scan2cap: Context-aware dense captioning in rgb-d scans

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:12.439190Z

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Observation d6765e62-af05-47a1-9011-d774999b51dd · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality

Reference 20

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This paper cites Palm: Scaling language modeling with pathways.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Palm: Scaling language modeling with pathways

Reference 21

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This paper cites 4d spatio-temporal convnets: Minkowski convolutional neural networks.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding 4d spatio-temporal convnets: Minkowski convolutional neural networks

Reference 22

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Observation cd05eb91-d402-4192-a399-1bf84ed228f3 · outbound

This paper cites Instructblip: Towards general-purpose vision-language models with instruction tuning, 2023.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Instructblip: Towards general-purpose vision-language models with instruction tuning, 2023

Reference 23

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Observation 9926460a-97ca-4bfd-a2bb-22b378356e87 · outbound

This paper cites Deep Learning on Implicit Neural Representations of Shapes.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Deep Learning on Implicit Neural Representations of Shapes

Reference 24

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Observation e5fda67a-8459-4d87-b922-00f8072cd5d5 · outbound

This paper cites Plenoxels: Radiance fields without neural networks.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Plenoxels: Radiance fields without neural networks

Reference 25

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Observation b9e72428-3e69-451d-aee5-8c228bc6e688 · outbound

This paper cites Imagebind: One embedding space to bind them all.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Imagebind: One embedding space to bind them all

Reference 26

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This paper cites Submanifold Sparse Convolutional Networks.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Submanifold Sparse Convolutional Networks

Reference 27

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

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following

Reference 28

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

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding ImageBind-LLM: Multi-modality Instruction Tuning

Reference 29

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Observation ca87ad9f-727f-4812-bd8e-5e505887a124 · outbound

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

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding 3d-llm: Injecting the 3d world into large language models

Reference 30

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Observation d914a6a7-9378-490b-9cf8-88bbbce0b9ff · outbound

This paper cites Unlocking textual and visual wisdom: Open-vocabulary 3d object detection enhanced by comprehensive guidance from text and image.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Unlocking textual and visual wisdom: Open-vocabulary 3d object detection enhanced by comprehensive guidance from text and image

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:11.700595Z

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Observation d71c5897-53fa-4b90-9a72-fa17546ffe10 · outbound

This paper cites Cg-nerf: Conditional generative neural radiance fields for 3d-aware image synthesis.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Cg-nerf: Conditional generative neural radiance fields for 3d-aware image synthesis

Reference 32

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Observation 95bd0d92-258c-4530-b5ef-fa2ef0bf7a2a · outbound

This paper cites Lerf: Language embedded radiance fields.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Lerf: Language embedded radiance fields

Reference 33

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This paper cites Parameter prediction for unseen deep architectures.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Parameter prediction for unseen deep architectures

Reference 34

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Observation dd5eacd8-8f49-4559-ad18-2ec9140bc9e4 · outbound

This paper cites Decomposing nerf for editing via feature field distillation.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Decomposing nerf for editing via feature field distillation

Reference 35

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

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 36

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Observation bc8b862d-b2c8-4184-be75-ca34c3a74c6d · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems , 36:34892–34916, 2023.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Visual instruction tuning.Advances in neural information processing systems , 36:34892–34916, 2023

Reference 37

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Observation 6fe358d8-c9ab-4143-9eb9-a6092229c0b9 · outbound

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

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding SQA3D: Situated Question Answering in 3D Scenes

Reference 38

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This paper cites Latent-nerf for shape-guided generation of 3d shapes and textures.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Latent-nerf for shape-guided generation of 3d shapes and textures

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:10.648473Z

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Observation 0ab68ad0-8ce8-4a2e-8744-6d0a94f2a2de · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Nerf: Representing scenes as neural radiance fields for view synthesis

Reference 40

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Observation 03f8bf14-fc30-4bc0-ae0a-4347db1d2674 · outbound

This paper cites Reference-guided controllable inpainting of neural radiance fields.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Reference-guided controllable inpainting of neural radiance fields

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:10.418059Z

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Observation 9c1c88e3-d0f9-4d2b-b417-f781fc681767 · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Instant neural graphics primitives with a multiresolution hash encoding

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:10.270091Z

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Observation 9bc5e0dc-e54a-4875-b7d5-06c7b83c3145 · outbound

This paper cites Equivariant architectures for learning in deep weight spaces.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Equivariant architectures for learning in deep weight spaces

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:09.985271Z

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Observation 15e8539a-c6ac-4045-ad6e-c6a8c7bd55f3 · outbound

This paper cites Training language models to follow instructions with human feedback.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Training language models to follow instructions with human feedback

Reference 44

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This paper cites Masked autoencoders for point cloud self-supervised learning.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Masked autoencoders for point cloud self-supervised learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:09.688603Z

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Observation aaaaf3dd-d9ab-4154-806c-bc80019219c5 · outbound

This paper cites Clip-guided vision-language pre-training for question answering in 3d scenes.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Clip-guided vision-language pre-training for question answering in 3d scenes

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:09.476881Z

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Observation c595a8dd-67a0-4e6b-b0e5-2e043fbe2b37 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:09.286251Z

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

Observation 4ef90906-4887-4eca-b3ee-c40f8caca8e1 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 48

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This paper cites Gpt4point: A unified framework for point-language understanding and generation.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Gpt4point: A unified framework for point-language understanding and generation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:09.172978Z

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Observation f0555abe-8de2-4fe9-bd2f-5259c254993f · outbound

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

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Learning transferable visual models from natural language supervision

Reference 50

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Observation 7f1f3255-25a4-409f-b8db-ad2aada69b32 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T13:48:04.824771Z

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Unavailable: canonical work link unavailable.

Observation aaafabc3-ada5-4583-a0c4-3fa7d65fcc89 · outbound

This paper cites Deep learning on 3d neural fields.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Deep learning on 3d neural fields

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:09.021935Z

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 f5cff35a-9bd2-4f52-b085-9c7540cc7b53 · outbound

This paper cites Self-supervised representation learning on neural network weights for model characteristic prediction.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Self-supervised representation learning on neural network weights for model characteristic prediction

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:08.884051Z

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 05ddafe5-0fd2-4c7e-a577-807a5d1a5299 · outbound

This paper cites Hyp-nerf: Learning improved nerf priors using a hypernetwork.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Hyp-nerf: Learning improved nerf priors using a hypernetwork

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:08.684422Z

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 c7584855-5479-456e-bce9-44e78b81a67b · outbound

This paper cites DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T13:48:05.108713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2da05fd7-dc3e-405a-9a4d-542bcf4e24e0 · outbound

This paper cites Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:08.521012Z

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 8d1602de-0b8a-4ce9-932f-42e1e4f763ba · outbound

This paper cites Nerfeditor: Differentiable style decomposition for 3d scene editing.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Nerfeditor: Differentiable style decomposition for 3d scene editing

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:08.354300Z

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 c26e365b-d88e-4c53-a69c-b6714aff5e66 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding LLaMA: Open and Efficient Foundation Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T13:48:05.330695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ab09c0b-a41a-48e8-8a2b-cbebe2789cee · outbound

This paper cites Predicting Neural Network Accuracy from Weights.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Predicting Neural Network Accuracy from Weights

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T13:48:05.407676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb4e30a1-0393-473c-82ee-5b520211aa20 · outbound

This paper cites Nerf-art: Text-driven neural radiance fields stylization.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Nerf-art: Text-driven neural radiance fields stylization

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:08.173686Z

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 c31f8e96-e0b5-4c36-90b5-40368345e440 · outbound

This paper cites Sparsenerf: Distilling depth ranking for few-shot novel view synthesis.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Sparsenerf: Distilling depth ranking for few-shot novel view synthesis

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:08.035248Z

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 a28ae1b7-f897-400a-b58d-e9bba72b171f · outbound

This paper cites Is Attention All That NeRF Needs?.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Is Attention All That NeRF Needs?

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T13:48:05.618712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e300df26-04ea-4ae6-bf17-4223e3601067 · outbound

This paper cites Dynamic graph cnn for learning on point clouds.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Dynamic graph cnn for learning on point clouds

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:07.858689Z

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 e9f58a95-666a-48b2-a049-35d35c33e215 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Finetuned Language Models Are Zero-Shot Learners

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T13:48:05.768385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b478d53e-5480-4da5-990a-df037edf46ed · outbound

This paper cites Pointllm: Empowering large language models to understand point clouds.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Pointllm: Empowering large language models to understand point clouds

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T13:48:05.820539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77673273-a29c-48a8-8cc6-4ad89b536166 · outbound

This paper cites Ulip: Learning a unified representation of language, images, and point clouds for 3d understanding.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Ulip: Learning a unified representation of language, images, and point clouds for 3d understanding

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:07.719762Z

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 cc5f76cf-c860-463d-83c8-058c219d105a · outbound

This paper cites Ulip-2: Towards scalable multimodal pre-training for 3d understanding.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Ulip-2: Towards scalable multimodal pre-training for 3d understanding

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T13:48:05.963623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3033ed8b-c1f1-48f7-9586-27403ce950e1 · outbound

This paper cites 3d question answering.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding 3d question answering

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:07.607741Z

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 519ceebc-6da5-49eb-a4ce-2838b03b8532 · outbound

This paper cites Point-bert: Pre-training 3d point cloud transformers with masked point modeling.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Point-bert: Pre-training 3d point cloud transformers with masked point modeling

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:07.431484Z

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 7dd928f8-0435-4871-bd4e-afac0d0200df · outbound

This paper cites X-trans2cap: Cross-modal knowledge transfer using transformer for 3d dense captioning.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding X-trans2cap: Cross-modal knowledge transfer using transformer for 3d dense captioning

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:07.306267Z

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 784c7428-fff6-409c-9438-38c5d308cb57 · outbound

This paper cites LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T13:48:06.283815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9aba2e05-f1e7-4d15-a6cb-3153795430b5 · outbound

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

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Multi3drefer: Grounding text description to multiple 3d objects

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:07.168973Z

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 b311e841-d93d-4903-8c7a-c1aef28fea23 · outbound

This paper cites Toward explainable 3d grounded visual question answering: A new bench- mark and strong baseline.

NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding Toward explainable 3d grounded visual question answering: A new bench- mark and strong baseline

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:48:06.944632Z

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.

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Reference resolution

Outbound references

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