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Paper Citation Record · LEDGER

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching

As of 7 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.13449.

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

pith.paper-citation-record.v1
2607.13449 v1

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measured 22 of 22 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-02T05:13:09.851989Z

measured 22 of 22 standing notices

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

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22 of 22 outbound references displayed

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Outbound references

Observation 6d926ed2-4dfa-4dd1-8a62-80749974b666 · outbound

This paper cites A survey on deep learning-based monocular spacecraft pose estimation: Current state, limitations and prospects,.

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching A survey on deep learning-based monocular spacecraft pose estimation: Current state, limitations and prospects,

Reference 1

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Observation b62bd003-3085-4025-92d3-697f2c781e6a · outbound

This paper cites Removing ambiguities in concurrent monocular single-shot spacecraft shape and pose estimation using a deep neural network,.

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching Removing ambiguities in concurrent monocular single-shot spacecraft shape and pose estimation using a deep neural network,

Reference 2

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Observation 7a74d1bb-5582-4c95-b3d4-1d6bda17ec97 · outbound

This paper cites Relative pose estimation of an uncooperative target with camera marker detection,.

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching Relative pose estimation of an uncooperative target with camera marker detection,

Reference 3

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Observation f1f66176-e54c-4a3a-8562-8bf32e413149 · outbound

This paper cites Satellite pose estimation with deep landmark regression and nonlinear pose refinement,.

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching Satellite pose estimation with deep landmark regression and nonlinear pose refinement,

Reference 4

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Observation b46c5d67-4321-4a31-b2c1-0461722becec · outbound

This paper cites Spacecraft pose estimation: Robust 2-d and 3-d structural losses and unsupervised domain adaptation by intermodel consensus,.

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching Spacecraft pose estimation: Robust 2-d and 3-d structural losses and unsupervised domain adaptation by intermodel consensus,

Reference 5

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Observation 4e3fcfbd-cf64-425d-81c2-b967925a9985 · outbound

This paper cites DINOv3.

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching DINOv3

Reference 6

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Observation 9c4b430c-101e-4121-8435-b637a97adbce · outbound

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

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching Dynamic graph cnn for learning on point clouds,

Reference 7

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Observation 890a36d8-78fc-4966-8a70-7a44053069f7 · outbound

This paper cites SuperGlue: Learning Feature Matching with Graph Neural Networks.

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching SuperGlue: Learning Feature Matching with Graph Neural Networks

Reference 8

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Observation 03a34a65-f6ca-4c8a-81e5-e1ac5b35a489 · outbound

This paper cites Mincd-pnp: Learning 2d-3d corre- spondences with approximate blind pnp,.

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching Mincd-pnp: Learning 2d-3d corre- spondences with approximate blind pnp,

Reference 9

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Observation abe20eb8-b988-4601-9fb4-9a93df1e7668 · outbound

This paper cites Dreamsat: Towards a general 3d model for novel view synthesis of space objects,.

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching Dreamsat: Towards a general 3d model for novel view synthesis of space objects,

Reference 10

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Observation e22538d3-a228-4967-91bd-77ceae01628a · outbound

This paper cites Dreamsat-2.0: Towards a general single-view asteroid 3d reconstruction,.

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching Dreamsat-2.0: Towards a general single-view asteroid 3d reconstruction,

Reference 11

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Observation d3124586-9a60-4e40-9430-350f5b46fafe · outbound

This paper cites SPE3R: Synthetic Dataset for Satellite Pose Estimation and 3D Reconstruction,.

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching SPE3R: Synthetic Dataset for Satellite Pose Estimation and 3D Reconstruction,

Reference 12

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Observation 5fcd41eb-2e7b-4f2e-a4d7-eb5d233fa21c · outbound

This paper cites Rapid abstraction of spacecraft 3d structure from single 2d image,.

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching Rapid abstraction of spacecraft 3d structure from single 2d image,

Reference 13

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Observation a28ea86d-c459-4696-aefc-091b316deaee · outbound

This paper cites Foundationpose: Unified 6d pose estimation and track- ing of novel objects,.

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching Foundationpose: Unified 6d pose estimation and track- ing of novel objects,

Reference 14

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Observation 03d202ad-77cf-4a7b-a6e5-ee183df45608 · outbound

This paper cites Ep n p: An accurate o (n) solution to the p n p problem,.

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching Ep n p: An accurate o (n) solution to the p n p problem,

Reference 15

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Observation 5df90beb-6a2e-4b57-9291-b46dbb571d41 · outbound

This paper cites Hunyuan3d 2.0: Scaling diffusion models for high resolution textured 3d assets genera- tion,.

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching Hunyuan3d 2.0: Scaling diffusion models for high resolution textured 3d assets genera- tion,

Reference 16

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Observation d3b90356-0718-4648-9575-b160789782b8 · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport,.

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching Sinkhorn distances: Lightspeed computation of optimal transport,

Reference 17

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Observation 2fd368f9-3810-4820-8aeb-dbfb78034097 · outbound

This paper cites Correspondence networks with adaptive neighbourhood consensus,.

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching Correspondence networks with adaptive neighbourhood consensus,

Reference 18

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Observation 14d71de7-5614-4c45-942d-64fa80b32d53 · outbound

This paper cites Learning less is more - 6d object pose estimation from synthetic rgb images,.

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching Learning less is more - 6d object pose estimation from synthetic rgb images,

Reference 19

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Observation 9a1cf620-11a2-42fb-bb95-da79622f7312 · outbound

This paper cites Survival of heavy flavored mesons in a hot medium.

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching Survival of heavy flavored mesons in a hot medium

Reference 20

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Observation 0b0d59f6-5b34-453b-b29f-bf14d1a18b8c · outbound

This paper cites Disk: Learning local features with reinforcement learning,.

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching Disk: Learning local features with reinforcement learning,

Reference 21

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Observation 9bc8f457-7c77-4046-9741-00a7a4f0d044 · outbound

This paper cites Segment Anything.

DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching Segment Anything

Reference 22

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