Paper Citation Record · LEDGER

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding

As of 13 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 7 inbound Pith citation observations for arXiv:2412.04383.

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

pith.paper-citation-record.v1
2412.04383 v2

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:29:49.966156Z

measured 79 of 79 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:14:41.667536Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T08:51:18.441484Z

Reference resolution

72 of 72 outbound references displayed

verified exact0
verified fuzzy51
unresolved21
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f6cb22ce-43ef-47e8-9ae6-50e6f8b49193 · outbound

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

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:51.586364Z

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Observation e39fb830-7871-41d2-a4de-a07e3e9af0bf · outbound

This paper cites Look around and refer: 2d synthetic semantics knowledge distillation for 3d visual grounding.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Look around and refer: 2d synthetic semantics knowledge distillation for 3d visual grounding

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:51.568113Z

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Observation 112e1648-006b-4229-a063-8415503d7cd7 · outbound

This paper cites Se- mantickitti: A dataset for semantic scene understanding of lidar sequences.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Se- mantickitti: A dataset for semantic scene understanding of lidar sequences

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:51.548363Z

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Observation 09d00982-2c1a-4c22-bb0d-b62e8136da9d · outbound

This paper cites Mikasa: Multi-key-anchor & scene-aware transformer for 3d visual grounding.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Mikasa: Multi-key-anchor & scene-aware transformer for 3d visual grounding

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:51.529904Z

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Observation b119eb19-c988-4ca9-aad3-4c57632b50fd · outbound

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

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Scanrefer: 3d object localization in rgb-d scans using natural language

Reference 5

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Source-reported events for the cited work

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Observation 10a4e4e5-ac24-4d80-9baa-86e6afdcb3a2 · outbound

This paper cites Clip2scene: Towards label-efficient 3d scene understanding by clip.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Clip2scene: Towards label-efficient 3d scene understanding by clip

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:51.497703Z

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Observation bda70d72-1882-4358-900e-ff6c7d1a080a · outbound

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

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Language conditioned spatial relation reasoning for 3d object grounding

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:51.481767Z

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Observation 34286f96-c6fc-49c0-9ebf-e438d56a29c9 · outbound

This paper cites Think global, act lo- cal: Dual-scale graph transformer for vision-and-language navigation.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Think global, act lo- cal: Dual-scale graph transformer for vision-and-language navigation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:51.461911Z

Source-reported events for the cited work

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Observation e420ad3c-339c-4bf9-8869-c75dcf53a576 · outbound

This paper cites InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Reference 9

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Source-reported events for the cited work

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Observation 8e2ba133-1be6-4810-ab37-5d40571d6053 · outbound

This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Reference 10

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Source-reported events for the cited work

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Observation 88bcb889-53ae-4c07-a0b9-3b0cbd8eecb7 · outbound

This paper cites Panoptic nuscenes: A large-scale benchmark for lidar panoptic segmentation and tracking.IEEE Robotics and Au- tomation Letters, 7:3795–3802, 2022.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Panoptic nuscenes: A large-scale benchmark for lidar panoptic segmentation and tracking.IEEE Robotics and Au- tomation Letters, 7:3795–3802, 2022

Reference 11

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Source-reported events for the cited work

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Observation b64cd2db-9507-462a-8c4f-02fccf68a985 · outbound

This paper cites Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning

Reference 12

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Observation e2e1fbbb-040f-4e9e-addb-3047ac4687d1 · outbound

This paper cites From Cognition to Precognition: A Future-Aware Framework for Social Navigation.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding From Cognition to Precognition: A Future-Aware Framework for Social Navigation

Reference 13

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Source-reported events for the cited work

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Observation 6dec190a-2741-4e82-98d0-eb3512d7922b · outbound

This paper cites Viewrefer: Grasp the multi-view knowledge for 3d visual grounding.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Viewrefer: Grasp the multi-view knowledge for 3d visual grounding

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:51.420579Z

Source-reported events for the cited work

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Observation 8bcb7c49-8e65-4f33-9d51-52465e746d80 · outbound

This paper cites CogVLM2: Visual Language Models for Image and Video Understanding.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding CogVLM2: Visual Language Models for Image and Video Understanding

Reference 15

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Source-reported events for the cited work

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Observation 6485a535-f2d4-443f-a26a-f8a4259e03f3 · outbound

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

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding 3d-llm: Inject- ing the 3d world into large language models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:51.399495Z

Source-reported events for the cited work

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Observation 2c8dd27c-8fd8-4572-bf9d-59c32111747e · outbound

This paper cites Dhp-mapping: A dense panoptic map- ping system with hierarchical world representation and label optimization techniques.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Dhp-mapping: A dense panoptic map- ping system with hierarchical world representation and label optimization techniques

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:51.380649Z

Source-reported events for the cited work

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Observation 399943dd-3528-4f6e-9deb-1c421107b5f6 · outbound

This paper cites Text-guided graph neural networks for re- ferring 3d instance segmentation.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Text-guided graph neural networks for re- ferring 3d instance segmentation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:51.354320Z

Source-reported events for the cited work

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Observation e1054693-672d-46dc-9416-e67e38b96040 · outbound

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

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Multi- view transformer for 3d visual grounding

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:51.327934Z

Source-reported events for the cited work

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Observation 4ceb43ba-c2d3-4c6a-bf3f-06c80b12a1c2 · outbound

This paper cites Assister: As- sistive navigation via conditional instruction generation.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Assister: As- sistive navigation via conditional instruction generation

Reference 20

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Observation b15275ad-dfef-4465-a6e5-95f8daf82222 · outbound

This paper cites Openins3d: Snap and lookup for 3d open-vocabulary instance segmentation.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Openins3d: Snap and lookup for 3d open-vocabulary instance segmentation

Reference 21

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Observation 1fcf8d33-1cb7-46f8-82df-5138d8bec106 · outbound

This paper cites Bottom up top down detection transform- ers for language grounding in images and point clouds.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Bottom up top down detection transform- ers for language grounding in images and point clouds

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:51.239745Z

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Observation 1db238a8-95a1-47ca-89bd-fd7281c598f4 · outbound

This paper cites Tenenbaum, Celso Miguel de Melo, Madhava Krishna, Liam Paull, Florian Shkurti, and Antonio Torralba.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Tenenbaum, Celso Miguel de Melo, Madhava Krishna, Liam Paull, Florian Shkurti, and Antonio Torralba

Reference 23

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Observation bc673fdd-578e-43d6-bb3e-26bffbbe837b · outbound

This paper cites Sceneverse: Scaling 3d vision-language learning for grounded scene understanding.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Sceneverse: Scaling 3d vision-language learning for grounded scene understanding

Reference 24

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Observation 8c6db71e-9c4e-4638-996b-df99fea13b19 · outbound

This paper cites Lerf: Language embedded radiance fields.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Lerf: Language embedded radiance fields

Reference 25

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Observation 89179189-6ce2-4572-907a-374fcf32d247 · outbound

This paper cites Rethinking range view representation for lidar segmentation.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Rethinking range view representation for lidar segmentation

Reference 26

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Observation 073a566a-f6d6-4ec5-b422-58d7c9c316f8 · outbound

This paper cites Robo3d: Towards robust and reliable 3d perception against corruptions.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Robo3d: Towards robust and reliable 3d perception against corruptions

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:51.130118Z

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Observation ac180bbb-69d1-4bdd-9e04-c9f174d84519 · outbound

This paper cites Xvo: Generalized visual odometry via cross-modal self-training.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Xvo: Generalized visual odometry via cross-modal self-training

Reference 28

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Observation 029e69aa-d9a3-4452-9a27-815cbc6202cf · outbound

This paper cites COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation

Reference 29

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Observation 577f477f-1bb4-4236-a0fd-d8a96db0c541 · outbound

This paper cites Tfnet: Exploiting temporal cues for fast and accurate lidar semantic segmentation.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Tfnet: Exploiting temporal cues for fast and accurate lidar semantic segmentation

Reference 30

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Observation 24df5088-9206-481c-80e8-b93a05f43531 · outbound

This paper cites Uni3DL: Unified Model for 3D and Language Understanding.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Uni3DL: Unified Model for 3D and Language Understanding

Reference 31

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This paper cites V oxformer: Sparse voxel transformer for camera- based 3d semantic scene completion.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding V oxformer: Sparse voxel transformer for camera- based 3d semantic scene completion

Reference 32

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Observation b86cca78-eeb9-4c42-97d8-f0c70d79b459 · outbound

This paper cites Is your lidar placement optimized for 3d scene understanding? InAdvances in Neural Information Process- ing Systems, pages 34980–35017, 2024.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Is your lidar placement optimized for 3d scene understanding? InAdvances in Neural Information Process- ing Systems, pages 34980–35017, 2024

Reference 33

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Observation 7e8d4bb3-e85b-45ad-af75-c4b6c2083e88 · outbound

This paper cites Segment any point cloud sequences by distilling vision foundation models.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Segment any point cloud sequences by distilling vision foundation models

Reference 34

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This paper cites Deep view synthesis via self-consistent generative network.IEEE Transactions on Multimedia, 24: 451–465, 2021.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Deep view synthesis via self-consistent generative network.IEEE Transactions on Multimedia, 24: 451–465, 2021

Reference 35

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This paper cites RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency

Reference 36

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This paper cites PhysFlow: Unleashing the Potential of Multi-modal Foundation Models and Video Diffusion for 4D Dynamic Physical Scene Simulation.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding PhysFlow: Unleashing the Potential of Multi-modal Foundation Models and Video Diffusion for 4D Dynamic Physical Scene Simulation

Reference 37

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This paper cites Ovir-3d: Open-vocabulary 3d in- stance retrieval without training on 3d data.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Ovir-3d: Open-vocabulary 3d in- stance retrieval without training on 3d data

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:50.984950Z

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Observation 3e40ada5-e8f2-47dc-99db-4c7892f0a542 · outbound

This paper cites An Examination of the Compositionality of Large Generative Vision-Language Models.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding An Examination of the Compositionality of Large Generative Vision-Language Models

Reference 39

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This paper cites GLOVER: Generalizable Open-Vocabulary Affordance Reasoning for Task-Oriented Grasping.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding GLOVER: Generalizable Open-Vocabulary Affordance Reasoning for Task-Oriented Grasping

Reference 40

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This paper cites GPT-4 Technical Report.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding GPT-4 Technical Report

Reference 41

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This paper cites Training lan- guage models to follow instructions with human feedback.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Training lan- guage models to follow instructions with human feedback

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:50.966102Z

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

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Openscene: 3d scene understanding with open vocabularies

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:50.949129Z

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Observation ddc87289-850e-4edb-b6c4-2046e81a1c71 · outbound

This paper cites Multi-branch collaborative learning network for 3d visual grounding.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Multi-branch collaborative learning network for 3d visual grounding

Reference 44

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This paper cites Learn- ing transferable visual models from natural language super- vision.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Learn- ing transferable visual models from natural language super- vision

Reference 45

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Observation a5e725ec-b7d2-41d8-a8d1-95b114346831 · outbound

This paper cites Mask3d: Mask trans- former for 3d semantic instance segmentation.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Mask3d: Mask trans- former for 3d semantic instance segmentation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:50.896064Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fdc2c7f6-6fbc-45e9-a74d-44eafa71d734 · outbound

This paper cites Interactive planning using large language models for partially observable robotic tasks.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Interactive planning using large language models for partially observable robotic tasks

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:50.872756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ef0ee074-2ce8-44f6-9c23-982ab81661a1 · outbound

This paper cites Scalability in perception 19 for autonomous driving: Waymo open dataset.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Scalability in perception 19 for autonomous driving: Waymo open dataset

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:50.850438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2f5cc807-e491-4958-8eba-e1721913540a · outbound

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

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding OpenMask3D: Open-Vocabulary 3D Instance Segmentation

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T21:29:49.815015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27a9fa37-85f7-4a3b-821a-bad2a382ee38 · outbound

This paper cites Epmf: Efficient perception-aware multi-sensor fusion for 3d semantic seg- mentation.IEEE Transactions on Pattern Analysis and Ma- chine Intelligence, 2024.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Epmf: Efficient perception-aware multi-sensor fusion for 3d semantic seg- mentation.IEEE Transactions on Pattern Analysis and Ma- chine Intelligence, 2024

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:50.823335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 18e0165f-6578-4549-9ccf-d210e8576550 · outbound

This paper cites Four ways to improve verbo-visual fusion for dense 3d visual grounding.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Four ways to improve verbo-visual fusion for dense 3d visual grounding

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:50.799762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 164e63c6-291b-4b4f-8736-09cb20cc2964 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T21:29:49.833829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fe8600d-c2a5-4150-923b-27215381193f · outbound

This paper cites Embodiedscan: A holistic multi- modal 3d perception suite towards embodied ai.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Embodiedscan: A holistic multi- modal 3d perception suite towards embodied ai

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:50.783374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 70a23182-f22d-453b-86dc-baf0f9660616 · outbound

This paper cites Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T21:29:49.847278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ae425a6-1b24-4fb0-a5e2-682d0a79038d · outbound

This paper cites G3-lq: Marry- ing hyperbolic alignment with explicit semantic-geometric modeling for 3d visual grounding.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding G3-lq: Marry- ing hyperbolic alignment with explicit semantic-geometric modeling for 3d visual grounding

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:50.763561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3816464f-68de-4177-9dc8-b52b3cb27c68 · outbound

This paper cites Distill- ing coarse-to-fine semantic matching knowledge for weakly supervised 3d visual grounding.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Distill- ing coarse-to-fine semantic matching knowledge for weakly supervised 3d visual grounding

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:50.744508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation af26b7e0-95e1-4112-9cd7-f4aa8947644c · outbound

This paper cites SIR: Multi-view Inverse Rendering with Decomposable Shadow Under Indoor Intense Lighting.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding SIR: Multi-view Inverse Rendering with Decomposable Shadow Under Indoor Intense Lighting

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T21:29:49.865801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcd9bb8c-972f-4ecd-bcc7-daf926042dcc · outbound

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

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Eda: Explicit text-decoupling and dense alignment for 3d visual grounding

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:50.723479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0179f253-307d-416e-9eac-3bcda0740004 · outbound

This paper cites VLM-Grounder: A VLM Agent for Zero-Shot 3D Visual Grounding.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding VLM-Grounder: A VLM Agent for Zero-Shot 3D Visual Grounding

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T21:29:49.880892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 653a0a03-c806-4835-958d-e044656a4ebc · outbound

This paper cites 4d contrastive superflows are dense 3d representation learners.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding 4d contrastive superflows are dense 3d representation learners

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:50.705321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 09cfb949-faa8-493f-8d28-9f92a25c54c3 · outbound

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

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Llm- grounder: Open-vocabulary 3d visual grounding with large language model as an agent

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:50.684245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b48f51be-9a29-4f9c-ab31-2b01212e55ac · outbound

This paper cites Regionplc: Regional point-language contrastive learning for open-world 3d scene understanding.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Regionplc: Regional point-language contrastive learning for open-world 3d scene understanding

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:50.664081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e0aac898-37e0-4e83-af92-1859a8ab30c0 · outbound

This paper cites Sat: 2d semantics assisted training for 3d visual grounding.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Sat: 2d semantics assisted training for 3d visual grounding

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:50.644089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f6643c1a-2542-4fe0-b77b-93fb731b08d8 · outbound

This paper cites Sai3d: Segment any instance in 3d scenes.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Sai3d: Segment any instance in 3d scenes

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:50.625181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9ada1862-c40f-4207-aff6-8449c7cb4d09 · outbound

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

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Instancerefer: Cooperative holistic understanding for visual grounding on point clouds through instance multi-level contextual refer- ring

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:50.601644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e287afdb-037c-435b-9b32-7381a7bdcbd6 · outbound

This paper cites Visual programming for zero-shot open-vocabulary 3d visual grounding.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Visual programming for zero-shot open-vocabulary 3d visual grounding

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:50.580719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 17fb0e84-af5a-4e2e-8740-9b5b0858280f · outbound

This paper cites Agent3D-Zero: An Agent for Zero-shot 3D Understanding.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Agent3D-Zero: An Agent for Zero-shot 3D Understanding

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T21:29:49.930129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 226d217a-3e07-4c3b-b688-b2ee95a6c96b · outbound

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

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding 3dvg- transformer: Relation modeling for visual grounding on point clouds

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:50.559830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2a9a1a61-7362-4fcb-9c9b-63f68db3dcad · outbound

This paper cites 3d-vista: Pre-trained transformer for 3d vision and text alignment.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding 3d-vista: Pre-trained transformer for 3d vision and text alignment

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:50.532258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4c4a031e-7246-46d6-9bd2-547c96541a18 · outbound

This paper cites Unifying 3d vision-language understanding via prompt- 20 able queries.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Unifying 3d vision-language understanding via prompt- 20 able queries

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:50.510643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6222d3d7-628d-416b-8490-b8a2311777f3 · outbound

This paper cites Perception-aware multi-sensor fusion for 3d lidar semantic segmentation.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Perception-aware multi-sensor fusion for 3d lidar semantic segmentation

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:29:50.488349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dd747f9d-a8cf-4f27-8846-829062594495 · outbound

This paper cites Robust 3D Semantic Occupancy Prediction with Calibration-free Spatial Transformation.

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Robust 3D Semantic Occupancy Prediction with Calibration-free Spatial Transformation

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-11T21:29:49.966156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 8ae17a44-7ba1-4f05-ab12-cb5d67befba8 · inbound

PhysFlow: Unleashing the Potential of Multi-modal Foundation Models and Video Diffusion for 4D Dynamic Physical Scene Simulation cites this paper.

PhysFlow: Unleashing the Potential of Multi-modal Foundation Models and Video Diffusion for 4D Dynamic Physical Scene Simulation SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T15:14:41.667536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37219787-af06-4101-8af5-57e158d3730c · inbound

Zero-Shot 3D Visual Grounding from Vision-Language Models cites this paper.

Zero-Shot 3D Visual Grounding from Vision-Language Models SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:16.243728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0f27499-30c3-4b67-846b-d64faf7298f9 · inbound

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making cites this paper.

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding

Reference 131

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:30.014841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e234c58c-8045-4310-aedb-429afb0f45c3 · inbound

Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations cites this paper.

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 f33928b8-72ce-43a3-a0f8-3f30a67c1475 · inbound

T-Rex: Task-Adaptive Spatial Representation Extraction for Robotic Manipulation with Vision-Language Models cites this paper.

T-Rex: Task-Adaptive Spatial Representation Extraction for Robotic Manipulation with Vision-Language Models SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:08.358863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b7dc8af-52a2-479e-9600-cd3c2817047a · inbound

SeqVLM: Proposal-Guided Multi-View Sequences Reasoning via VLM for Zero-Shot 3D Visual Grounding cites this paper.

SeqVLM: Proposal-Guided Multi-View Sequences Reasoning via VLM for Zero-Shot 3D Visual Grounding SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T14:52:56.353243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed5c3627-0bae-493f-8604-3b51e51a99d6 · inbound

SceneGraphGrounder: Zero-Shot 3D Visual Grounding via Structured Scene Graph Matching cites this paper.

SceneGraphGrounder: Zero-Shot 3D Visual Grounding via Structured Scene Graph Matching SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-22T08:51:18.444293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.