Paper Citation Record · LEDGER

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models

As of 7 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 4 inbound Pith citation observations for arXiv:2506.09784.

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

pith.paper-citation-record.v1
2506.09784 v1

Coverage vector

measured 86 of 86 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:47:07.645365Z

measured 90 of 90 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:43:22.671162Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:51:03.044213Z

Reference resolution

86 of 86 outbound references displayed

verified exact4
verified fuzzy66
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 94510af4-93e6-47a0-ad5a-09bb0f9032a0 · outbound

This paper cites BOP: Benchmark for 6D object pose estimation,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models BOP: Benchmark for 6D object pose estimation,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:07.100636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5090ff9-e7f0-4adc-8042-3fe49e34b294 · outbound

This paper cites Robotic Continuous Grasping System by Shape Transformer-Guided Multi-Object Category- Level 6D Pose Estimation,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Robotic Continuous Grasping System by Shape Transformer-Guided Multi-Object Category- Level 6D Pose Estimation,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:07.152736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5c53541-629c-4e5f-8a8c-80fb0aca1d49 · outbound

This paper cites Instance segmentation based 6D pose estimation of industrial objects using point clouds for robotic bin-picking,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Instance segmentation based 6D pose estimation of industrial objects using point clouds for robotic bin-picking,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:07.239664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88f5514e-08be-4ad7-952b-ac7b91a83859 · outbound

This paper cites Towards More Effective Human- Robot Collaboration via Accurate Pose Estimation,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Towards More Effective Human- Robot Collaboration via Accurate Pose Estimation,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:07.311074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d20c08f-5c7b-4d1a-89ed-3d0396d17975 · outbound

This paper cites Deep multi-state object pose estimation for augmented reality assembly,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Deep multi-state object pose estimation for augmented reality assembly,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:07.315792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b995f613-92fb-41d6-be67-dd047d11dc69 · outbound

This paper cites Model globally, match locally: Efficient and robust 3D object recognition,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Model globally, match locally: Efficient and robust 3D object recognition,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:07.320448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0120bf8d-36cb-45ec-be13-3ada646b8879 · outbound

This paper cites PVNet: Pixel-Wise V oting Network for 6DoF Pose Estimation,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models PVNet: Pixel-Wise V oting Network for 6DoF Pose Estimation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.431765Z

Source-reported events for the cited work

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Observation bdfe5a99-1aca-4e27-a1c0-21526b8dac68 · outbound

This paper cites DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.419108Z

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 5846894f-168b-401e-9144-022c143a2f12 · outbound

This paper cites FreeZe: Training- free zero-shot 6D pose estimation with geometric and vision foundation models,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models FreeZe: Training- free zero-shot 6D pose estimation with geometric and vision foundation models,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.406416Z

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 349aabd6-1308-4a53-bf04-87f6ccfcd3ad · outbound

This paper cites FoundationPose: Unified 6D pose estimation and tracking of novel objects,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models FoundationPose: Unified 6D pose estimation and tracking of novel objects,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.393799Z

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 dd017267-5a1d-4911-b4ac-2ee2bcb3f022 · outbound

This paper cites SAM-6D: Segment anything model meets zero-shot 6D object pose estimation,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models SAM-6D: Segment anything model meets zero-shot 6D object pose estimation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.380781Z

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 ff756c9a-3a8f-4751-9a5b-33c9f4d0ed24 · outbound

This paper cites Zero123-6d: Zero-shot novel view synthesis for rgb category-level 6d pose estimation,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Zero123-6d: Zero-shot novel view synthesis for rgb category-level 6d pose estimation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.367712Z

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 80756c5d-62a7-4a3c-87e7-f77764e8ebf2 · outbound

This paper cites GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:47:08.842204Z

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 0d923023-70d3-4bb4-ac1b-c857fb2b9bb6 · outbound

This paper cites GS-Pose: Category-level object pose estimation via geometric and semantic correspondence,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models GS-Pose: Category-level object pose estimation via geometric and semantic correspondence,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.355097Z

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 b3fa244b-0d98-4e76-ab32-ef27af624c31 · outbound

This paper cites ZeroPose: CAD-Prompted Zero-shot Object 6D Pose Estimation in Cluttered Scenes,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models ZeroPose: CAD-Prompted Zero-shot Object 6D Pose Estimation in Cluttered Scenes,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.341866Z

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 859d63ec-4cfe-4ff5-b272-82b65b802d31 · outbound

This paper cites GenFlow: Generalizable recurrent flow for 6D pose refinement of novel objects,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models GenFlow: Generalizable recurrent flow for 6D pose refinement of novel objects,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.327814Z

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 1ab2e584-e3f1-4111-bc4b-c39f5245598d · outbound

This paper cites MatchU: Matching unseen objects for 6D pose estimation from RGB-D images,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models MatchU: Matching unseen objects for 6D pose estimation from RGB-D images,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.314169Z

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 29c38407-cc4f-44d2-9075-3409c8e91327 · outbound

This paper cites MegaPose: 6D pose estimation of novel objects via render & compare,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models MegaPose: 6D pose estimation of novel objects via render & compare,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.300882Z

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 7f105fee-8556-423a-911c-d57c0ea063ac · outbound

This paper cites GigaPose: Fast and robust novel object pose estimation via one correspondence,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models GigaPose: Fast and robust novel object pose estimation via one correspondence,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.288031Z

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 f260a0ee-283f-4968-8142-e95b09063ef6 · outbound

This paper cites Distilling 3D distinctive local descriptors for 6D pose estimation,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Distilling 3D distinctive local descriptors for 6D pose estimation,

Reference 20

Resolution: verified exact; raw_fallback, observed 2026-08-07T04:47:08.600449Z

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 3c664e16-8130-4678-b613-3e8a1ff00380 · outbound

This paper cites FoundPose: Unseen object pose estimation with foundation features,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models FoundPose: Unseen object pose estimation with foundation features,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.275033Z

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 e76f265c-605b-4f26-8368-6a066177ca91 · outbound

This paper cites ZS6D: Zero-shot 6D object pose estimation using vision transformers,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models ZS6D: Zero-shot 6D object pose estimation using vision transformers,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.261459Z

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 ef5e0308-5019-41e6-9224-e5946c6f2e8e · outbound

This paper cites Onepose: One-shot object pose estimation without cad models,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Onepose: One-shot object pose estimation without cad models,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.248139Z

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 bb6f58a5-d5a9-4961-9040-3545c84f3ce5 · outbound

This paper cites Onepose++: Keypoint-free one-shot object pose estimation without CAD models,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Onepose++: Keypoint-free one-shot object pose estimation without CAD models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.234927Z

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 c9052ae0-930f-4902-8487-9b4db7888027 · outbound

This paper cites Gen6d: Generalizable model-free 6-dof object pose estimation from rgb images,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Gen6d: Generalizable model-free 6-dof object pose estimation from rgb images,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.221516Z

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 b4701186-da1c-45ef-9706-eba4420d1217 · outbound

This paper cites Scalable Unseen Objects 6-DoF Absolute Pose Estimation with Robotic Integration.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Scalable Unseen Objects 6-DoF Absolute Pose Estimation with Robotic Integration

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:07.406809Z

Source-reported events for the cited work

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Observation af789317-9d3d-4e74-aee6-53b060811bd8 · outbound

This paper cites InstantPose: Zero-Shot Instance-Level 6D Pose Estimation from a Single View,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models InstantPose: Zero-Shot Instance-Level 6D Pose Estimation from a Single View,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.208837Z

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 c6590489-8042-4f1a-b14b-56e40557f351 · outbound

This paper cites UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:07.414999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6451537c-e6c3-4a97-abda-73294d1cd7c3 · outbound

This paper cites One2Any: One-Reference 6D Pose Estimation for Any Object.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models One2Any: One-Reference 6D Pose Estimation for Any Object

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:47:08.255219Z

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 4f1482b4-be92-4434-a1c0-6b06f8a74b16 · outbound

This paper cites Open- vocabulary object 6D pose estimation,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Open- vocabulary object 6D pose estimation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.196285Z

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 e763ab89-0185-474a-8b6a-cc50d256dbdb · outbound

This paper cites High-resolution open-vocabulary object 6D pose estimation.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models High-resolution open-vocabulary object 6D pose estimation

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:47:07.993466Z

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 beb3c6a7-f88c-4a26-8d73-a51b36f5d5ba · outbound

This paper cites Least-squares fitting of two 3-D point sets,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Least-squares fitting of two 3-D point sets,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.183638Z

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 c94fbfa6-da6b-43a6-a0f7-e01adc6091a4 · outbound

This paper cites BOP Challenge 2024 on Model- Based and Model-Free 6D Object Pose Estimation,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models BOP Challenge 2024 on Model- Based and Model-Free 6D Object Pose Estimation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.170820Z

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 4516dcf8-0e51-4d1d-ad50-60d904070548 · outbound

This paper cites OVE6D: Object viewpoint encoding for depth-based 6D object pose estimation,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models OVE6D: Object viewpoint encoding for depth-based 6D object pose estimation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.157679Z

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 ad1a1ee4-1ea4-4759-aee6-0664c002e453 · outbound

This paper cites Learning symmetry-aware geometry correspondences for 6D object pose estimation,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Learning symmetry-aware geometry correspondences for 6D object pose estimation,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.144055Z

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 654a3e18-af11-4ee7-8c01-e551357e7c61 · outbound

This paper cites Templates for 3D object pose estimation revisited: Generalization to new objects and robustness to occlusions,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Templates for 3D object pose estimation revisited: Generalization to new objects and robustness to occlusions,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.130955Z

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 0a2ed384-86bb-4fc5-800b-80db69121993 · outbound

This paper cites Object pose estimation via the aggregation of diffusion features,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Object pose estimation via the aggregation of diffusion features,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.117943Z

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 ab8681b5-19c9-4a8f-8025-4b576b8ee5f2 · outbound

This paper cites OSOP: A multi-stage one shot object pose estimation framework,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models OSOP: A multi-stage one shot object pose estimation framework,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.104184Z

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 1ab4e369-1f62-49a8-a350-8e555f3631ce · outbound

This paper cites Diffusion Features for Zero-Shot 6DoF Object Pose Estimation,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Diffusion Features for Zero-Shot 6DoF Object Pose Estimation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.090927Z

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 0de532b0-8c4d-4824-94e4-bccd41e75d8f · outbound

This paper cites Zephyr: Zero-shot pose hypothesis rating,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Zephyr: Zero-shot pose hypothesis rating,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.077601Z

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 51f2dd23-7222-4c17-9528-c8eb488a71ef · outbound

This paper cites Deep Learning-Based Object Pose Estimation: A Comprehensive Survey,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Deep Learning-Based Object Pose Estimation: A Comprehensive Survey,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:07.466528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6b9b305-ef97-4670-bdeb-dd5239962687 · outbound

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

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models ShapeNet: An Information-Rich 3D Model Repository

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:07.470271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f88030b-f8d4-44a5-8b31-faaa76fca4e3 · outbound

This paper cites Google Scanned Objects: A high- quality dataset of 3D scanned household items,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Google Scanned Objects: A high- quality dataset of 3D scanned household items,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.064038Z

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 a4f153bd-3943-42be-a44c-b8c7869369a8 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.049469Z

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 46dcc172-ae2e-4ba7-a5ad-d9c26e8280ae · outbound

This paper cites KPConv: Flexible and deformable convolution for point clouds,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models KPConv: Flexible and deformable convolution for point clouds,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.036397Z

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 ca3790c8-df00-4012-bbcb-fe11e7491d36 · outbound

This paper cites Geometric Transformer for Fast and Robust Point Cloud Registration,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Geometric Transformer for Fast and Robust Point Cloud Registration,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.023009Z

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 3a451d62-f8be-4195-ab06-7f6fdf6061f9 · outbound

This paper cites Rotation- invariant transformer for point cloud matching,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Rotation- invariant transformer for point cloud matching,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:15.007414Z

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 76e94ca4-0716-45f4-aa95-c1f9db9f9529 · outbound

This paper cites T-LESS: An RGB-D dataset for 6D pose estimation of texture-less objects,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models T-LESS: An RGB-D dataset for 6D pose estimation of texture-less objects,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:14.992699Z

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 b9d873ca-32cc-48cd-a721-a39b36d42fea · outbound

This paper cites BOP: Benchmark for 6D object pose estimation,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models BOP: Benchmark for 6D object pose estimation,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:14.978530Z

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 1686a828-cdb4-44a3-84d9-f9f7d40ecd29 · outbound

This paper cites Learning general and distinctive 3D local deep descriptors for point cloud registration,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Learning general and distinctive 3D local deep descriptors for point cloud registration,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:14.964474Z

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 202a0234-037d-4bf6-b831-0a285538abea · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models DINOv2: Learning Robust Visual Features without Supervision

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:07.507646Z

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Observation 253c165b-5374-4edd-880f-7d60197cde8f · outbound

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

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Learning transferable visual models from natural language supervision,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:14.951065Z

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 70690653-d0a0-4b4f-9b91-0a12ec21b96a · outbound

This paper cites Emerging Properties in Self-Supervised Vision Transformers,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Emerging Properties in Self-Supervised Vision Transformers,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:14.937899Z

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 089a37f6-fee8-4b8b-aba9-b985bb77249c · outbound

This paper cites 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:14.846879Z

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 a49363a7-f3c4-43c7-87dc-cd31972ba749 · outbound

This paper cites Fully Convolutional Geometric Features,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Fully Convolutional Geometric Features,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:14.654285Z

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 fbece8a4-c954-4ad7-912d-e0dfe879cbc6 · outbound

This paper cites Revisiting fully convolutional geometric features for object 6D pose estimation,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Revisiting fully convolutional geometric features for object 6D pose estimation,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:14.436431Z

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 02b0629a-0a5d-47ec-9ae7-22ab713e2f65 · outbound

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

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models PointNet: Deep learning on point sets for 3d classification and segmentation,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:14.237982Z

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 68040664-ac35-45ae-8540-7ff79d54fdb5 · outbound

This paper cites PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:14.027142Z

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 33a48ce6-9ddb-421c-94d9-31cf4d6c80ad · outbound

This paper cites PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:13.856104Z

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 1cee3d20-c866-4644-bf85-15e9ebf48f11 · outbound

This paper cites Geodesic Convolutional Neural Networks on Riemannian Manifolds,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Geodesic Convolutional Neural Networks on Riemannian Manifolds,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:13.600186Z

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 7d8afa0b-dc8a-457f-93f6-70059e6612d1 · outbound

This paper cites Geometric Deep Learning on Graphs and Manifolds using Mixture Model CNNs,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Geometric Deep Learning on Graphs and Manifolds using Mixture Model CNNs,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:13.359268Z

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 1efb998f-fa00-45c0-a9fc-e7a491965754 · outbound

This paper cites SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:13.214519Z

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 f7e1d48d-c653-4450-af85-74140a845a90 · outbound

This paper cites Dynamic graph CNN for learning on point clouds,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Dynamic graph CNN for learning on point clouds,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:12.981127Z

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 e00e5b08-10ff-4ccc-8b74-f479c9dae4c0 · outbound

This paper cites Point Transformer,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Point Transformer,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:12.793281Z

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 a592b7ab-fceb-43fe-85b1-8d79dbe07d47 · outbound

This paper cites Point Transformer V2: Grouped Vector Attention and Partition-based Pooling,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Point Transformer V2: Grouped Vector Attention and Partition-based Pooling,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:12.633469Z

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 3b2c2899-a296-4dca-a291-e9c4b0cfbf0e · outbound

This paper cites Point Transformer V3: Simpler Faster Stronger,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Point Transformer V3: Simpler Faster Stronger,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:12.385459Z

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 f3bd7662-d3dd-4d22-9f64-bb2d9d852021 · outbound

This paper cites Rethinking network design and local geometry in point cloud: A simple residual MLP framework,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Rethinking network design and local geometry in point cloud: A simple residual MLP framework,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:12.177302Z

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 62983bad-e3ae-4fb8-9500-a4351c10b665 · outbound

This paper cites PointMixer: MLP-Mixer for point cloud understanding,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models PointMixer: MLP-Mixer for point cloud understanding,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:12.038603Z

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 cb4da4d0-63f1-4391-bffc-37cda8a6c091 · outbound

This paper cites PatchMixer: Rethinking network design to boost generalization for 3D point cloud understanding,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models PatchMixer: Rethinking network design to boost generalization for 3D point cloud understanding,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:11.879181Z

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 2c86b503-1e27-4a9d-b905-41077efe959b · outbound

This paper cites MLP-Mixer: An all-MLP architecture for vision,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models MLP-Mixer: An all-MLP architecture for vision,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:11.709139Z

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 d53aa70b-7a16-4cdf-96d6-f3befbef067b · outbound

This paper cites Patches Are All You Need?.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Patches Are All You Need?

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:07.585045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 228933e5-6585-4090-a247-c59590f7ecda · outbound

This paper cites Attention is all you need,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Attention is all you need,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:11.507888Z

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 507a08af-7155-45db-aad7-4d689e4b8e37 · outbound

This paper cites CNOS: A Strong Baseline for CAD-based Novel Object Segmentation,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models CNOS: A Strong Baseline for CAD-based Novel Object Segmentation,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:11.386216Z

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 9c60b012-ec74-46cb-b30b-fb32b587eb9a · outbound

This paper cites Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:07.596708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 280011ca-d029-4354-b09b-bf3b225b6229 · outbound

This paper cites Segment anything,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Segment anything,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:11.211207Z

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 8482b3c4-dcc7-4f75-a99f-f65c7bc93e1e · outbound

This paper cites Fast Segment Anything.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Fast Segment Anything

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:07.604346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18c429e5-78a6-48c0-aef8-31549080b3d0 · outbound

This paper cites Fast Poisson disk sampling in arbitrary dimensions,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Fast Poisson disk sampling in arbitrary dimensions,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:11.034898Z

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 6eb6752a-25d2-4f32-9581-2cf4121b311d · outbound

This paper cites an unresolved cited work.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:47:10.887701Z

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 16fd1880-e2b9-48e6-b124-2b5736195416 · outbound

This paper cites an unresolved cited work.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:47:10.724188Z

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 4e3c8663-e327-4054-846c-44c3f43241d8 · outbound

This paper cites A method for registration of 3-D shapes,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models A method for registration of 3-D shapes,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:10.434485Z

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 67b22712-1fed-4792-997d-0bcea56569fd · outbound

This paper cites MUSE: Model-agnostic Unseen 2D Object Recognition via 3D-aware Similarity of Multi-Embeddings,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models MUSE: Model-agnostic Unseen 2D Object Recognition via 3D-aware Similarity of Multi-Embeddings,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:10.255857Z

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 189b174b-0bc6-4320-93e7-1e8b61666838 · outbound

This paper cites Learning 6D object pose estimation using 3D object coordinates,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Learning 6D object pose estimation using 3D object coordinates,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:10.037959Z

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 78364601-44fc-4656-a76d-b2b6f30519bf · outbound

This paper cites Recovering 6D object pose and predicting next-best-view in the crowd,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Recovering 6D object pose and predicting next-best-view in the crowd,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:09.839334Z

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 3121ab6b-b944-4160-82d4-73e741d2d804 · outbound

This paper cites Introduc- ing MVTec ITODD – A dataset for 3D object recognition in industry,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models Introduc- ing MVTec ITODD – A dataset for 3D object recognition in industry,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:09.626898Z

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 24ac5b64-f355-446e-98f3-338ad7e017c8 · outbound

This paper cites HomebrewedDB: RGB-D dataset for 6D pose estimation of 3D objects,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models HomebrewedDB: RGB-D dataset for 6D pose estimation of 3D objects,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:09.374743Z

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 cff0c4db-edd9-4524-8b4e-32d330868770 · outbound

This paper cites PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes,.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:47:09.072095Z

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.

Pith citing papers

Observation dcbe8a95-32cf-4af2-b78a-92cbe4a272e1 · inbound

MAPRPose: Mask-Aware Proposal and Amodal Refinement for Multi-Object 6D Pose Estimation cites this paper.

MAPRPose: Mask-Aware Proposal and Amodal Refinement for Multi-Object 6D Pose Estimation Accurate and efficient zero-shot 6D pose estimation with frozen foundation models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:51:03.047109Z

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 f658b3f1-15e8-4a1a-a84b-12e403dafa08 · inbound

Semantic Prior Guided One-View 6D Pose Estimation for Novel Objects cites this paper.

Semantic Prior Guided One-View 6D Pose Estimation for Novel Objects Accurate and efficient zero-shot 6D pose estimation with frozen foundation models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:40:51.992527Z

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 143f9dec-4441-4b3b-9fd9-00a0f84aad57 · inbound

Semantic Prior Guided One-View 6D Pose Estimation for Novel Objects cites this paper.

Semantic Prior Guided One-View 6D Pose Estimation for Novel Objects Accurate and efficient zero-shot 6D pose estimation with frozen foundation models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T14:43:22.671162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75c7c88c-a20c-4794-925f-5dd73d17b84b · inbound

xperception -- Making Robotic Grasping Easier cites this paper.

xperception -- Making Robotic Grasping Easier Accurate and efficient zero-shot 6D pose estimation with frozen foundation models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T05:58:47.422497Z

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Unavailable: canonical work link unavailable.