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Paper Citation Record · LEDGER

SAM3D: Segment Anything in 3D Scenes

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 38 inbound Pith citation observations for arXiv:2306.03908.

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

pith.paper-citation-record.v1
2306.03908 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 38 of 38 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:11:06.878283Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:00:07.715806Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1e9145dd-8252-40ba-9515-3725c5f37f2d · inbound

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation cites this paper.

SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation SAM3D: Segment Anything in 3D Scenes

Reference 42

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no resolver link, observed 2026-08-09T17:11:06.878283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:11:06.878283Z digest=sha256:dc3487cb7eec5037938ba0faf83a72dedccade359e1cce33c8e893c1f8d5d6b8

Observation 962af528-27cb-4f1d-b5e3-359ef546d93b · inbound

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion cites this paper.

IRS: Instance-Level 3D Scene Graphs via Room Prior Guided LiDAR-Camera Fusion SAM3D: Segment Anything in 3D Scenes

Reference 6

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no resolver link, observed 2026-08-07T05:53:07.709131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:53:07.709131Z digest=sha256:a5a0ce0ca8fdce47fe602ea893d45902889875525d0424f6a8ad85c835f2cd11

Observation df1602e4-08f1-437a-a06f-e973fafedbcb · inbound

Hi-LSplat: Hierarchical 3D Language Gaussian Splatting cites this paper.

Hi-LSplat: Hierarchical 3D Language Gaussian Splatting SAM3D: Segment Anything in 3D Scenes

Reference 19

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unresolved
no resolver link, observed 2026-08-07T05:55:43.430187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:55:43.430187Z digest=sha256:9d647d5009f6749f003b6174eae7041ad9808711c7263756bae385f33e30b533

Observation 4c3105c0-9f13-4d99-ae72-3d1c2dffe573 · inbound

OV-MAP: Open-Vocabulary Zero-Shot 3D Instance Segmentation Map for Robots cites this paper.

OV-MAP: Open-Vocabulary Zero-Shot 3D Instance Segmentation Map for Robots SAM3D: Segment Anything in 3D Scenes

Reference 6

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unresolved
no resolver link, observed 2026-08-07T04:07:34.215425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:07:34.215425Z digest=sha256:3afbaf687d6636ebc6ac4ed95d0609065ff64fab5f0dda8a045d7f303b44d999

Observation 015464ae-5d32-4ab9-9b2c-29a2ac39231c · inbound

BoxFusion: Reconstruction-Free Open-Vocabulary 3D Object Detection via Real-Time Multi-View Box Fusion cites this paper.

BoxFusion: Reconstruction-Free Open-Vocabulary 3D Object Detection via Real-Time Multi-View Box Fusion SAM3D: Segment Anything in 3D Scenes

Reference 48

Resolution
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no resolver link, observed 2026-08-06T23:57:22.728460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:57:22.728460Z digest=sha256:5baaf8755dc7a1a003e7c1e5fd6631ceea4d7246779726323ce1da1f01ee5d19

Observation f769896a-2525-4489-91e7-b3235d7d941f · inbound

SAM4D: Segment Anything in Camera and LiDAR Streams cites this paper.

SAM4D: Segment Anything in Camera and LiDAR Streams SAM3D: Segment Anything in 3D Scenes

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T22:28:15.313315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:28:15.313315Z digest=sha256:8239fda1b35d26169ed3f214ad7da98ba4229ac8245a0ee1561bd21f8fa7cb07

Observation 57d72f2d-c14b-4814-b926-729e614e05bd · inbound

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding cites this paper.

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding SAM3D: Segment Anything in 3D Scenes

Reference 54

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no resolver link, observed 2026-08-06T22:04:26.211071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:04:26.211071Z digest=sha256:92878c555b0747bbeb094c62992273337d98901f925b2a56bcf072691b698d22

Observation 4baabd6c-a36e-4692-bcdb-e21354f847fd · inbound

InstaScene: Towards Complete 3D Instance Decomposition and Reconstruction from Cluttered Scenes cites this paper.

InstaScene: Towards Complete 3D Instance Decomposition and Reconstruction from Cluttered Scenes SAM3D: Segment Anything in 3D Scenes

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T18:24:53.923942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:24:53.923942Z digest=sha256:05da8b671561e14eab44440ed326c559902bf94772e6df0d2a3d7bbf4bc0d09e

Observation 814b09c3-2c37-4a90-a20b-389d358e3546 · inbound

ObjectGS: Object-aware Scene Reconstruction and Scene Understanding via Gaussian Splatting cites this paper.

ObjectGS: Object-aware Scene Reconstruction and Scene Understanding via Gaussian Splatting SAM3D: Segment Anything in 3D Scenes

Reference 46

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unresolved
no resolver link, observed 2026-08-06T15:38:28.546009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:38:28.546009Z digest=sha256:1c38f350d0fbbb5f4c69c2d588f2d18eb1e1ab1fd85c97aa15cd654de615954c

Observation 6fe2e905-cd2b-4a00-9e4a-a9d57d73fded · inbound

Details Matter for Indoor Open-vocabulary 3D Instance Segmentation cites this paper.

Details Matter for Indoor Open-vocabulary 3D Instance Segmentation SAM3D: Segment Anything in 3D Scenes

Reference 62

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no resolver link, observed 2026-08-06T11:07:08.751645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:07:08.751645Z digest=sha256:bd297d0a6b516a3678b75a650729ef49b006c094c913755aae7497f2a5487bad

Observation a2badeac-954c-43f0-a7ae-cedccec7566f · inbound

GeoSAM2: Unleashing the Power of SAM2 for 3D Part Segmentation cites this paper.

GeoSAM2: Unleashing the Power of SAM2 for 3D Part Segmentation SAM3D: Segment Anything in 3D Scenes

Reference 35

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no resolver link, observed 2026-08-05T18:49:01.907526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:49:01.907526Z digest=sha256:a4b8762e89eb4df941fa3875383ccc2219086081b35393fa3f152823b92fec15

Observation 2d3cc9b9-ddad-4e1a-aa40-b268e77e69c5 · inbound

scI2CL: Effectively Integrating Single-cell Multi-omics by Intra- and Inter-omics Contrastive Learning cites this paper.

scI2CL: Effectively Integrating Single-cell Multi-omics by Intra- and Inter-omics Contrastive Learning SAM3D: Segment Anything in 3D Scenes

Reference 31

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no resolver link, observed 2026-08-05T17:11:45.801949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:11:45.801949Z digest=sha256:5e51c03c67363ae43312605d114420a808fb4e481f77ab14020981d3e8e09e59

Observation 63fea7ee-b02b-4377-a029-f75be22ad14d · inbound

SERES: Semantic-aware neural reconstruction from sparse views cites this paper.

SERES: Semantic-aware neural reconstruction from sparse views SAM3D: Segment Anything in 3D Scenes

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T17:04:20.703089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:04:20.703089Z digest=sha256:48edd21ac02846aa1cf11f608fea7fcbe2bde61c590d8ab7027497e71e46f371

Observation cff5a01e-bed9-43f9-be50-91fa6e05b8ab · inbound

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation cites this paper.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation SAM3D: Segment Anything in 3D Scenes

Reference 39

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unresolved
no resolver link, observed 2026-08-05T15:27:12.821244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:27:12.821244Z digest=sha256:bd0730b89834d0ba3b553cc11e6ea4c74d88386979ef06e60fd161dffeec8f76

Observation ba465949-8078-4741-821e-54727f47dbad · inbound

OpenM3D: Open Vocabulary Multi-view Indoor 3D Object Detection without Human Annotations cites this paper.

OpenM3D: Open Vocabulary Multi-view Indoor 3D Object Detection without Human Annotations SAM3D: Segment Anything in 3D Scenes

Reference 58

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no resolver link, observed 2026-08-05T15:19:09.730952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:19:09.730952Z digest=sha256:5a32a52f0afbc08d8648c3519f128e1f83446d76853430a257e320f5221b5edd

Observation 64306cc3-ea08-490e-9b37-fe361275c4b1 · inbound

ShelfGaussian: Shelf-Supervised Open-Vocabulary Gaussian-based 3D Scene Understanding cites this paper.

ShelfGaussian: Shelf-Supervised Open-Vocabulary Gaussian-based 3D Scene Understanding SAM3D: Segment Anything in 3D Scenes

Reference 84

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verified exact
arxiv_id, observed 2026-05-17T03:28:58.162203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T03:24:32.577420Z digest=sha256:1d92fd0fafb54d9331e2192c0378ef98cce9f2aab215770fdc146cabc05cf149

Observation ca80aa73-bd3c-4702-b421-38b6fd74a210 · inbound

Unified Semantic Transformer for 3D Scene Understanding cites this paper.

Unified Semantic Transformer for 3D Scene Understanding SAM3D: Segment Anything in 3D Scenes

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-03T16:13:56.470579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:13:56.470579Z digest=sha256:9244750e2a97739c6a5530b52710da1b11e90a2ec82761269fa783b352bbe7a7

Observation 866fd0b5-ab2b-49c8-a133-430562ce3d8d · inbound

PanoSAMic: Panoramic Image Segmentation from SAM Feature Encoding and Dual View Fusion cites this paper.

PanoSAMic: Panoramic Image Segmentation from SAM Feature Encoding and Dual View Fusion SAM3D: Segment Anything in 3D Scenes

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T14:48:00.836784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T14:43:18.682997Z digest=sha256:63d322da0ebff0e555f7aff38d2314ebf3afbad96dcaf2289a96439ad73bdc85

Observation f84f4e05-5f90-4b2e-b706-b520c47cf326 · inbound

3AM: 3egment Anything with Geometric Consistency in Videos cites this paper.

3AM: 3egment Anything with Geometric Consistency in Videos SAM3D: Segment Anything in 3D Scenes

Reference 102

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arxiv_id, observed 2026-05-16T14:21:01.651766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T14:19:34.641108Z digest=sha256:ca6cca0e163f4984320d4afd1f9e6601a573287d798a2f2ba01e5cc2678754af

Observation 0c65fdfe-87ce-48d5-bd96-1cbeecaec0a0 · inbound

JOPP-3D: Joint Open Vocabulary Semantic Segmentation on Point Clouds and Panoramas cites this paper.

JOPP-3D: Joint Open Vocabulary Semantic Segmentation on Point Clouds and Panoramas SAM3D: Segment Anything in 3D Scenes

Reference 44

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no resolver link, observed 2026-07-15T13:59:22.441714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T13:59:22.441714Z digest=sha256:5ed2f4f934a1c572705d25503982fc3b0477bd7646a0cd1e2438545e250e6dfd

Observation 9dae544a-af03-4541-b89e-242e76d3c5fe · inbound

GraspSense: Physically Grounded Grasp and Grip Planning for a Dexterous Robotic Hand via Language-Guided Perception and Force Maps cites this paper.

GraspSense: Physically Grounded Grasp and Grip Planning for a Dexterous Robotic Hand via Language-Guided Perception and Force Maps SAM3D: Segment Anything in 3D Scenes

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:20:50.948006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T19:13:56.230343Z digest=sha256:355231c831b03657a87fd4c66bcc87c480eaa9cd36f47dc9655ba799407c2acf

Observation 9987e820-b4d3-4a57-b6ad-5910f7425106 · inbound

MV3DIS: Multi-View Mask Matching via 3D Guides for Zero-Shot 3D Instance Segmentation cites this paper.

MV3DIS: Multi-View Mask Matching via 3D Guides for Zero-Shot 3D Instance Segmentation SAM3D: Segment Anything in 3D Scenes

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:15:57.916613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T17:44:01.158027Z digest=sha256:632c72a1214a5541dff7d0a7c4569a56a6bbf9b8ff7783964b883ff9c2676e59

Observation 78ab938c-94d5-4ad4-bb7f-358752488e81 · inbound

Ilov3Splat: Instance-Level Open-Vocabulary 3D Scene Understanding in Gaussian Splatting cites this paper.

Ilov3Splat: Instance-Level Open-Vocabulary 3D Scene Understanding in Gaussian Splatting SAM3D: Segment Anything in 3D Scenes

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T17:16:07.986828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T17:45:39.026680Z digest=sha256:1ccc9a4b1caa35800bdffc94243c76214cd7fa3d011af8b69369cf77dcff4bc4

Observation fbdcb053-0e13-4c06-8223-e771909c96ef · inbound

Ilov3Splat: Instance-Level Open-Vocabulary 3D Scene Understanding in Gaussian Splatting cites this paper.

Ilov3Splat: Instance-Level Open-Vocabulary 3D Scene Understanding in Gaussian Splatting SAM3D: Segment Anything in 3D Scenes

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T22:13:04.941633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T22:10:05.927744Z digest=sha256:0ae0baa651c746ed12b62a5e4afb9a2cd49b3ba0f6307cb41a74293c84e75163

Observation 1a16b284-7482-40ec-b631-699803605246 · inbound

Distill, Diffuse, Segment: Unsupervised 3D Semantic Segmentation for Autonomous Driving Based on Multi-Level Distillation and Graph Diffusion cites this paper.

Distill, Diffuse, Segment: Unsupervised 3D Semantic Segmentation for Autonomous Driving Based on Multi-Level Distillation and Graph Diffusion SAM3D: Segment Anything in 3D Scenes

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:51:48.770465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T01:33:00.617343Z digest=sha256:07a4bff2067e68660a3c3a82a8ac63e7a71deaffba5fd1288480a34b22e3f648

Observation a6173512-ea59-40cf-92fe-6e63b0d05b57 · inbound

Distill, Diffuse, Segment: Unsupervised 3D Semantic Segmentation for Autonomous Driving Based on Multi-Level Distillation and Graph Diffusion cites this paper.

Distill, Diffuse, Segment: Unsupervised 3D Semantic Segmentation for Autonomous Driving Based on Multi-Level Distillation and Graph Diffusion SAM3D: Segment Anything in 3D Scenes

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:33:00.137500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T21:29:31.500445Z digest=sha256:5e5a0978aee389093b5b101f9f2cc3c69fda7bc1f3cba6096e5202051a3916ec

Observation 583f1f42-b568-4517-9f27-b94f3f4d0e1f · inbound

Distill, Diffuse, Segment: Unsupervised 3D Semantic Segmentation for Autonomous Driving Based on Multi-Level Distillation and Graph Diffusion cites this paper.

Distill, Diffuse, Segment: Unsupervised 3D Semantic Segmentation for Autonomous Driving Based on Multi-Level Distillation and Graph Diffusion SAM3D: Segment Anything in 3D Scenes

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T14:40:51.447669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:40:51.447669Z digest=sha256:d8604a7ead6382b517826562f954b9655525ee9e3e9c80ed5ce8ebd4ce66bdd1

Observation db5b7188-60b0-4add-98f7-0790340274ca · inbound

CAR-SAM: Cross-Attention Reconstruction for Post-Training Quantization of the Segment Anything Model cites this paper.

CAR-SAM: Cross-Attention Reconstruction for Post-Training Quantization of the Segment Anything Model SAM3D: Segment Anything in 3D Scenes

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:32:47.882951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T21:30:10.628872Z digest=sha256:722047484ab74af1da7cc389f02704fc47762be2743ae4ddcecbec1c6c2df75a

Observation 45358fbe-78bc-4736-8fc6-78d01825bd88 · inbound

AgentGrounder: Zero-Shot 3D Visual Pointcloud Grounding using Multimodal Language Models cites this paper.

AgentGrounder: Zero-Shot 3D Visual Pointcloud Grounding using Multimodal Language Models SAM3D: Segment Anything in 3D Scenes

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:54:01.237749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T22:47:05.747852Z digest=sha256:8006065e11c37989e0453b6494d71a279f7df66f31f0ae3d732dd5f2e55b141c

Observation 02d69dc4-a0cc-4734-98a5-74ac1b515536 · inbound

ESAM++: Efficient Online 3D Perception on the Edge cites this paper.

ESAM++: Efficient Online 3D Perception on the Edge SAM3D: Segment Anything in 3D Scenes

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:53:15.919123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T08:49:55.148028Z digest=sha256:c275c44f99e845416bd3a5fb233006ca1caaea767a6ea0e163cff184856ff2b3

Observation 652ed44c-bf10-46d4-a824-5c3cdb4d49b6 · inbound

T-FunS3D: Task-Driven Hierarchical Open-Vocabulary 3D Functionality Segmentation cites this paper.

T-FunS3D: Task-Driven Hierarchical Open-Vocabulary 3D Functionality Segmentation SAM3D: Segment Anything in 3D Scenes

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:46:56.108546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T02:54:34.072166Z digest=sha256:48bc5c3400ef270737ac200b1e3bf724552f6e562164125034b753b6cf65d708

Observation 8976552d-1731-4abf-8d01-b2a00a46e2b8 · inbound

GraspFoM: Towards Reconstruction-Driven Robotic Grasping with 3D Foundation Priors cites this paper.

GraspFoM: Towards Reconstruction-Driven Robotic Grasping with 3D Foundation Priors SAM3D: Segment Anything in 3D Scenes

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:37:25.828011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T18:47:30.907614Z digest=sha256:abbe108b4924639688307e922afc8d656e397b23ae4b864add973f437c65c41b

Observation cd7368d3-62ab-4b46-89b8-549dba35f78e · inbound

NeuMesh++: Towards Versatile and Efficient Volumetric Editing with Disentangled Neural Mesh-based Implicit Field cites this paper.

NeuMesh++: Towards Versatile and Efficient Volumetric Editing with Disentangled Neural Mesh-based Implicit Field SAM3D: Segment Anything in 3D Scenes

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:19:13.066182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T21:22:05.653570Z digest=sha256:e58d4a94774e21e54bbf42f005e338239c9e029260bab193914593c260ec6806

Observation 9ed0b6b3-3158-4d19-a5c5-72d09f8cb823 · inbound

Heterogeneous and Adept Snapshot Distillation for 3D Semantic Segmentation cites this paper.

Heterogeneous and Adept Snapshot Distillation for 3D Semantic Segmentation SAM3D: Segment Anything in 3D Scenes

Reference 59

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verified exact
arxiv_id, observed 2026-07-04T20:00:07.717960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-25T20:57:29.637599Z digest=sha256:4ad609c2711f92b632a18683db5d0ca874af8fc0b77d1aa0403e857db0500957

Observation c0fef94e-fc9c-47b1-ae1e-1819b0488218 · inbound

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views cites this paper.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views SAM3D: Segment Anything in 3D Scenes

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:34:22.088631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:c1a60007a2a4d752f05ab8f56d040b5cf2dc01bb638b6c5be231a11d582e53af

Observation 318fafe6-d5b3-4b9e-bf5a-a58b72fc9b35 · inbound

GReFEM: Multimodal LLMs as Zero-Shot Semantic Assistants for Physics-Guided 3D Mesh Refinement cites this paper.

GReFEM: Multimodal LLMs as Zero-Shot Semantic Assistants for Physics-Guided 3D Mesh Refinement SAM3D: Segment Anything in 3D Scenes

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-13T06:42:45.558324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T06:42:45.558324Z digest=sha256:f1b2689c35b10772602f72aecb25907785d6ca374678e41845ea948e25ee2065

Observation 2c079c7c-edda-4503-b061-fd3edf0cd172 · inbound

CDIS: Cross-Dimensional Class-Agnostic 3D Instance Segmentation via 2D Mask Tracking and 3D-2D Projection Merging cites this paper.

CDIS: Cross-Dimensional Class-Agnostic 3D Instance Segmentation via 2D Mask Tracking and 3D-2D Projection Merging SAM3D: Segment Anything in 3D Scenes

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T17:07:29.670446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:07:29.670446Z digest=sha256:1ef3bf51908e8bab3eb0b773a4ea54fb5342023f86f4fcca805d114e24ecc48f

Observation c16f8416-d102-44e1-a2f7-520ceedcd094 · inbound

SAM3D-Guided Object-Centric Representation Alignment for Vision-Language-Action Models cites this paper.

SAM3D-Guided Object-Centric Representation Alignment for Vision-Language-Action Models SAM3D: Segment Anything in 3D Scenes

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T01:10:40.146441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:10:40.146441Z digest=sha256:5f7e6783a0d441e9f3e8bf4aac771261cdd28e973ea21ac71784575b986552d6