Paper Citation Record · LEDGER

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation

As of 13 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2411.14002.

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

pith.paper-citation-record.v1
2411.14002 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:44:25.616014Z

measured 37 of 37 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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verified fuzzy35
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 02602607-bc74-4f9c-8c1b-fcd0b9864db6 · outbound

This paper cites Deep learning-based pose prediction for visual servoing of robotic manipulators using image similarity,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Deep learning-based pose prediction for visual servoing of robotic manipulators using image similarity,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.908882Z

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 4be59fbc-78aa-4477-9dbe-d52e81ab4857 · outbound

This paper cites Cdpn: Coordinates-based disentangled posenetworkforreal-timergb-based6-dofobjectposeestimation,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Cdpn: Coordinates-based disentangled posenetworkforreal-timergb-based6-dofobjectposeestimation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.902038Z

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 3b2018a8-928d-415c-afda-f45f5840ffc1 · outbound

This paper cites Deepresiduallearningforimage recognition,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Deepresiduallearningforimage recognition,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.895587Z

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 f45b90db-c7ce-4b34-8fad-37a9e6c09324 · outbound

This paper cites Cosypose:Consistent multi-view multi-object 6d pose estimation,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Cosypose:Consistent multi-view multi-object 6d pose estimation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.888104Z

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 f890b5cd-3436-47c7-9a37-c91943c64c43 · outbound

This paper cites Gdr-net: Geometry- guided direct regression network for monocular 6d object pose esti- mation,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Gdr-net: Geometry- guided direct regression network for monocular 6d object pose esti- mation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.880604Z

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 af504a19-b66a-4202-8d6c-2a1bb7d2af1d · outbound

This paper cites Feature pyramid networks for object detection,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Feature pyramid networks for object detection,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.871854Z

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 26d9e310-f511-4b3e-b42c-2a27dec870e1 · outbound

This paper cites Posecnn: a con- volutional neural network for 6d object pose estimation in cluttered scenes,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Posecnn: a con- volutional neural network for 6d object pose estimation in cluttered scenes,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.863128Z

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 efef0026-624e-4fd1-9f79-aae0d50b2ffa · outbound

This paper cites Pvnet: Pixel- wise voting network for 6dof pose estimation,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Pvnet: Pixel- wise voting network for 6dof pose estimation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.856401Z

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 08c3cd28-9fab-4585-bf12-848fe083dbf4 · outbound

This paper cites Poet: pose estimation transformer for single-view, multi-object 6d pose estimation,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Poet: pose estimation transformer for single-view, multi-object 6d pose estimation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.849166Z

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 d15132c6-13b3-4935-92c0-43365677cd00 · outbound

This paper cites Silhonet: An rgb method for 6d object pose estimation,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Silhonet: An rgb method for 6d object pose estimation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.841753Z

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 d6f58b9d-b672-4b4c-adb1-917cadf70416 · outbound

This paper cites Segmentation-driven6d object pose estimation,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Segmentation-driven6d object pose estimation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.834889Z

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 90546685-45a8-401a-9458-dea62cffc43e · outbound

This paper cites Dpod: 6d pose object detector and refiner,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Dpod: 6d pose object detector and refiner,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.827515Z

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 06f9e3ca-e402-4d7d-b1ef-23d6997d28c4 · outbound

This paper cites Deepim:Deepiterative matching for 6d pose estimation,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Deepim:Deepiterative matching for 6d pose estimation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.819439Z

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 210e7e57-b9d2-4f62-a01c-c948e3d09817 · outbound

This paper cites Rnnpose: 6-dof object pose estimation via recurrent correspondence field estimation and pose optimization,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Rnnpose: 6-dof object pose estimation via recurrent correspondence field estimation and pose optimization,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.811887Z

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 85594019-3518-4cb0-bc18-09fbd8916d1e · outbound

This paper cites Fcos: a simple and strong anchor-free object detector,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Fcos: a simple and strong anchor-free object detector,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.805152Z

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 8962ee6e-b10b-4702-840c-5fad7176cc30 · outbound

This paper cites Bridging the gap betweenanchor-basedandanchor-freedetectionviaadaptivetraining sample selection,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Bridging the gap betweenanchor-basedandanchor-freedetectionviaadaptivetraining sample selection,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.798777Z

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 490e7b00-13ea-41a6-8fed-8164832c1116 · outbound

This paper cites An intriguing failing of convolutional neural net- works and the coordconv solution,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation An intriguing failing of convolutional neural net- works and the coordconv solution,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.791799Z

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 99e62986-fb02-48f0-968a-011cc9cd4cb7 · outbound

This paper cites Super-convergence: very fast training of neural networks using large learning rates,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Super-convergence: very fast training of neural networks using large learning rates,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.784092Z

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 c578c47b-09f8-4136-b490-8f6756b18571 · outbound

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

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Learning 6d object pose estimation using 3d object coordinates,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.776428Z

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 55d8ecc8-8dbd-4634-ab8d-db5d78a020e4 · outbound

This paper cites 3dposeregressionusingconvo- lutional neural networks,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation 3dposeregressionusingconvo- lutional neural networks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.769081Z

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 d4114411-2c4e-41ab-81a5-ec5106327d95 · outbound

This paper cites EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approach.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approach

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T15:44:25.570907Z

Source-reported events for the cited work

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Observation b3539bc5-5d88-4285-9e6f-32149efaec57 · outbound

This paper cites On the continuity of rotation representations in neural networks,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation On the continuity of rotation representations in neural networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.760833Z

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 2dd782a2-8da6-4d10-87fe-d59053e59215 · outbound

This paper cites Hrpose: Real-time high-resolution 6d pose estimation network using knowledge distillation,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Hrpose: Real-time high-resolution 6d pose estimation network using knowledge distillation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.753979Z

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 fc2ebccd-202d-4b13-9487-79576ae1ee8d · outbound

This paper cites High-resolution representation object pose estimation from monocular images,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation High-resolution representation object pose estimation from monocular images,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.747488Z

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 2fc96047-efdd-4a83-8a2e-a8fd8aded8e7 · outbound

This paper cites Rotate to attend: Convolutional triplet attention module,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Rotate to attend: Convolutional triplet attention module,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.740836Z

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 8733d12d-f100-43e0-8323-e54a6f9d41b4 · outbound

This paper cites Rethinking the necessity of image fusion in high-level vision tasks: A practical infrared and visibleimagefusionnetworkbasedonprogressivesemanticinjection and scene fidelity,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Rethinking the necessity of image fusion in high-level vision tasks: A practical infrared and visibleimagefusionnetworkbasedonprogressivesemanticinjection and scene fidelity,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.733263Z

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 4762b7eb-0eda-4ca1-98fa-0e563f74ee55 · outbound

This paper cites Bop challenge 2022 on detec- tion, segmentation and pose estimation of specific rigid objects,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Bop challenge 2022 on detec- tion, segmentation and pose estimation of specific rigid objects,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.725826Z

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 f980455f-224d-47e3-a925-b7467a6976dd · outbound

This paper cites Blenderproc: Reducing the reality gap with photorealistic render- ing,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Blenderproc: Reducing the reality gap with photorealistic render- ing,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.717860Z

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 0b717968-4bf6-487b-8809-7978bb485688 · outbound

This paper cites Rigidity-awaredetec- tion for 6d object pose estimation,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Rigidity-awaredetec- tion for 6d object pose estimation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.709834Z

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 0beb1080-38ea-46fa-8075-5c6352a1df63 · outbound

This paper cites Open Challenges for Monocular Single-shot 6D Object Pose Estimation.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Open Challenges for Monocular Single-shot 6D Object Pose Estimation

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-12T15:44:25.642781Z

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 893a8454-8a5d-4312-9407-53cc96cf8633 · outbound

This paper cites Minimum barrier superpixel segmentation,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Minimum barrier superpixel segmentation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.703147Z

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 450a6eea-8a7b-4ea5-a7db-21e9b061f49a · outbound

This paper cites Epos: Estimating 6d pose of ob- jects with symmetries,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Epos: Estimating 6d pose of ob- jects with symmetries,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.696201Z

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 c3f5ace4-78b8-44e4-92ab-e475489ed7f0 · outbound

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

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Sam-6d: Segment anything model meets zero-shot 6d object pose estimation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.688384Z

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 9e200a6a-e31c-4151-bf17-d0a8b89b1b01 · outbound

This paper cites Hipose: Hierarchical binary surface encoding and correspondence pruning for rgb-d 6dof objectposeestimation,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Hipose: Hierarchical binary surface encoding and correspondence pruning for rgb-d 6dof objectposeestimation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.680114Z

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 4df2efe2-4169-4f75-9a64-9a78639c6204 · outbound

This paper cites Megapose: 6d poseestimationofnovelobjectsviarender&compare,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Megapose: 6d poseestimationofnovelobjectsviarender&compare,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.672068Z

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 138d111a-0732-4b64-97c2-00240a98759b · outbound

This paper cites A gentle introduction to object recognition with deep learning,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation A gentle introduction to object recognition with deep learning,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.664393Z

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 5777127c-34db-445f-8e1c-5fbb93d3a0ca · outbound

This paper cites Object detection using deep learn- ing, cnns and vision transformers: a review,.

SEMPose: A Single End-to-end Network for Multi-object Pose Estimation Object detection using deep learn- ing, cnns and vision transformers: a review,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:44:25.656410Z

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.

Pith citing papers

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