Paper Citation Record · LEDGER

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots

As of 19 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2508.13775.

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

pith.paper-citation-record.v1
2508.13775 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:14:14.438770Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

29 of 29 outbound references displayed

verified exact0
verified fuzzy24
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 19ea5cb0-5b20-485d-89d1-865b3b6868f7 · outbound

This paper cites Mtevent: A multi-task event camera dataset for 6d pose estimation and moving object detection.

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots Mtevent: A multi-task event camera dataset for 6d pose estimation and moving object detection

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:14.765588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation df527767-94c0-4760-b4b5-7238a00f45d1 · outbound

This paper cites Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking.

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots Introducing HOT3D: An Egocentric Dataset for 3D Hand and Object Tracking

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T17:14:14.343622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c739843-3f31-4674-8f9d-b9095950a368 · outbound

This paper cites Strobl, Matthias Humt, and Rudolph Triebel.

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots Strobl, Matthias Humt, and Rudolph Triebel

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:14.756224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ca2c6f46-5ac1-45dd-89bf-5a5c5ae75363 · outbound

This paper cites Introducing mvtec itodd - a dataset for 3d object recognition in industry.

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots Introducing mvtec itodd - a dataset for 3d object recognition in industry

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:14.746004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 86b85f69-95bf-420f-aa47-f02ca01e5995 · outbound

This paper cites Learning embeddings with centroid triplet loss for object identification in robotic grasp- ing.

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots Learning embeddings with centroid triplet loss for object identification in robotic grasp- ing

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:14.736318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0beb8e07-f8b2-44f9-ab28-392f6bcba48b · outbound

This paper cites Handal: A dataset of real-world manipulable object categories with pose annotations, affordances, and reconstructions.

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots Handal: A dataset of real-world manipulable object categories with pose annotations, affordances, and reconstructions

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:14.726124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 121d5974-57a9-4eb6-aa1f-d84c0b473507 · outbound

This paper cites Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes.

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:14.716007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9d2e5928-08aa-44b8-94bb-63a36eb3937d · outbound

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

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots T-LESS: An RGB-D dataset for 6D pose estimation of texture-less ob- jects

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:14.705030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation db5cbd05-88ce-4dd0-99e5-55007e3c8ac0 · outbound

This paper cites BOP: Benchmark for 6D object pose esti- mation.

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots BOP: Benchmark for 6D object pose esti- mation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:14.694735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b5cef8a5-16f6-400b-a39c-0861f81d00e4 · outbound

This paper cites BOP challenge 2020 on 6D object localization.

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots BOP challenge 2020 on 6D object localization

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:14.684437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ad6a8446-17b3-48a8-a2c5-299af5727801 · outbound

This paper cites Homebreweddb: Rgb-d dataset for 6d pose esti- mation of 3d objects.

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots Homebreweddb: Rgb-d dataset for 6d pose esti- mation of 3d objects

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:14.674770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0dfde7ca-05f9-4b99-906c-c946888ed02e · outbound

This paper cites evobot – design and learning-based control of a two-wheeled compound inverted pendulum robot.

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots evobot – design and learning-based control of a two-wheeled compound inverted pendulum robot

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:14.664356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c20ccffc-2a2f-4caa-96ef-afc7c10ca482 · outbound

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

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots Cosypose: Consistent multi-view multi-object 6d pose estimation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:14.653801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d24a3412-f716-4f0b-aea9-2842aafacdbe · outbound

This paper cites MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare.

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T17:14:14.390846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd08074f-a64a-4178-94de-73456fea6dd6 · outbound

This paper cites Gdrnpp, 2022.

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots Gdrnpp, 2022

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:14.643690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e26b7ddf-985b-4935-a17a-000de8c792ca · outbound

This paper cites Genflow: Generalizable recurrent flow for 6d pose refinement of novel objects.

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots Genflow: Generalizable recurrent flow for 6d pose refinement of novel objects

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:14.633280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a622bb13-70d1-4de8-8330-639a96e5ca97 · outbound

This paper cites Cnos: A strong base- line for cad-based novel object segmentation.

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots Cnos: A strong base- line for cad-based novel object segmentation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:14.621873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ce3020b8-4346-45b2-a56d-fd4e501874f6 · outbound

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

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots Gigapose: Fast and robust novel object pose estimation via one correspondence

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:14.611420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5969cfa3-61dd-4d99-a2f3-a009610632f0 · outbound

This paper cites an unresolved cited work.

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-15T17:14:14.601257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fded0368-985f-490f-8e7a-80216b141701 · outbound

This paper cites Found- pose: Unseen object pose estimation with foundation fea- tures.

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots Found- pose: Unseen object pose estimation with foundation fea- tures

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:14.591612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0f6b4e56-887b-4e67-b62f-26e1314ea8b7 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots SAM 2: Segment Anything in Images and Videos

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T17:14:14.414286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f69f33b-ed1e-4dbe-bfc8-256ee78249b4 · outbound

This paper cites Latent-class hough forests for 3d object detection and pose estimation.

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots Latent-class hough forests for 3d object detection and pose estimation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:14.581039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bde32058-be26-44ff-9313-be0613d4a45e · outbound

This paper cites Tsai and R.K.

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots Tsai and R.K

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:14.569014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 888f7ebe-d3f4-41cb-a6f4-69b857dde133 · outbound

This paper cites 6-dof pose estimation of household objects for robotic manipulation: An accessible dataset and benchmark.

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots 6-dof pose estimation of household objects for robotic manipulation: An accessible dataset and benchmark

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:14.556211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f2e9da8b-34a3-4ca7-a0e7-c4dc9828610a · outbound

This paper cites Vggt: Visual geometry grounded transformer.

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots Vggt: Visual geometry grounded transformer

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:14.546051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 220fde0d-e36c-45a6-a0d5-e8abb750cc0b · outbound

This paper cites BundleSDF: Neural 6-DoF tracking and 3D reconstruction of unknown objects.

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots BundleSDF: Neural 6-DoF tracking and 3D reconstruction of unknown objects

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:14.535794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 867958d6-b458-4508-85b0-874e257e5525 · outbound

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

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots FoundationPose: Unified 6d pose estimation and tracking of novel objects

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:14.524820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 41a4ce38-d38a-48f7-98d5-96219ca34a66 · outbound

This paper cites Simulation modeling of highly dynamic omnidirectional mobile robots based on real-world data.

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots Simulation modeling of highly dynamic omnidirectional mobile robots based on real-world data

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:14:14.513293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f1724c22-429b-434b-81c9-de8584ba24a6 · outbound

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

MR6D: Benchmarking 6D Pose Estimation for Mobile Robots PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T17:14:14.438770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.