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Paper Citation Record · LEDGER

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects

As of 9 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2607.16015.

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

pith.paper-citation-record.v1
2607.16015 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:39:38.242588Z

measured 30 of 30 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

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Outbound references

Observation 40170f5e-101d-42aa-8586-cdbd1fd0188e · outbound

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

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Epnp: An accurate o (n) solution to the pnp problem,

Reference 1

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source=pdf_text observed=2026-08-01T21:39:36.010603Z digest=sha256:e0c8e6f7c36d5896804443739dc24e58510a985dde42facd47d1b78ba68f1c2a

Observation b8457e58-8224-4c10-a0c6-5d0c30e948d7 · outbound

This paper cites The moped framework: Object recognition and pose estimation for manipulation,.

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects The moped framework: Object recognition and pose estimation for manipulation,

Reference 2

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Observation 944d6e28-d8d8-42ee-a043-7107b69cbeee · outbound

This paper cites Posecnn: A convolutional neural network for 6d object pose estimation in cluttered scenes,.

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Posecnn: A convolutional neural network for 6d object pose estimation in cluttered scenes,

Reference 3

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Observation 6e69129f-299e-4595-9dd1-5978988d2fb1 · outbound

This paper cites Deep object pose estimation for semantic robotic grasping of household objects,.

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Deep object pose estimation for semantic robotic grasping of household objects,

Reference 4

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Observation a9247b64-0aa8-4aab-becf-296aac0fadb0 · outbound

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

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Dpod: 6d pose object detector and refiner,

Reference 5

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Observation 1ebf7cfb-72ce-480f-bcc8-36b24a1d6a54 · outbound

This paper cites Posenetwork: Pipeline for the automated generation of synthetic training data and cnn for object detection, segmentation, and orientation estimation,.

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Posenetwork: Pipeline for the automated generation of synthetic training data and cnn for object detection, segmentation, and orientation estimation,

Reference 6

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Observation d89e766f-7496-4398-8dd0-ed8df7235f51 · outbound

This paper cites Fast adaptable 6d object pose estimation for autonomous robotics,.

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Fast adaptable 6d object pose estimation for autonomous robotics,

Reference 7

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Observation ded2a723-6d89-4181-a3ce-67f583afb5bd · outbound

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

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Onepose: One-shot object pose estimation without cad models,

Reference 8

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Observation 4a786faa-b264-45d0-ad97-c3df275c01f1 · outbound

This paper cites Onepose++: Keypoint-free one-shot object pose estimation without cad mod- els,.

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Onepose++: Keypoint-free one-shot object pose estimation without cad mod- els,

Reference 9

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source=pdf_text observed=2026-08-01T21:39:36.659967Z digest=sha256:f826c07d31f5779bd7f5d8ab78911e7b382ca5d647933d162d456e44a1160d66

Observation 7c940cf3-1d70-487c-a5bc-069a7ca257db · outbound

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

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Gen6d: Generalizable model-free 6-dof object pose estimation from rgb images,

Reference 10

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Observation d60ecc42-e051-4df9-889c-1190034193ba · outbound

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

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare

Reference 11

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Observation 2bb50531-e782-41e5-a83e-00443e260879 · outbound

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

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Gigapose: Fast and robust novel object pose estimation via one correspondence,

Reference 12

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source=pdf_text observed=2026-08-01T21:39:36.861802Z digest=sha256:8367d6b0b81c997d797f9870e367cbe4bfb3d6634b708fb4618e7198a3313482

Observation 83fc3350-fbed-4458-a1c5-97f4d67b0dcc · outbound

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

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Genflow: Generalizable recurrent flow for 6d pose refinement of novel objects,

Reference 13

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Observation 05b8ab67-27bb-418e-a3fa-e8ed15025fbf · outbound

This paper cites Pos3r: 6d pose estimation for unseen objects made easy,.

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Pos3r: 6d pose estimation for unseen objects made easy,

Reference 14

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Observation 3487e980-d593-4146-93a0-576db696757c · outbound

This paper cites Bop: Benchmark for 6d object pose estimation,.

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Bop: Benchmark for 6d object pose estimation,

Reference 15

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source=pdf_text observed=2026-08-01T21:39:37.072856Z digest=sha256:6f51d8c7f716b5252280aae3ff0e2885790665880426946ebca8f60e128cdddb

Observation 0399e796-3129-40d0-9c64-d5254cda1a08 · outbound

This paper cites Zs6d: Zero-shot 6d object pose estimation using vision transformers,.

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Zs6d: Zero-shot 6d object pose estimation using vision transformers,

Reference 16

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Observation 8ea63727-c3be-4be8-ace3-2b00d03bd89d · outbound

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

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Foundpose: Unseen object pose estimation with foundation features,

Reference 17

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Observation 76885e02-2f28-4ce3-8d22-bd43a7ddbf61 · outbound

This paper cites Su- perglue: Learning feature matching with graph neural networks,.

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Su- perglue: Learning feature matching with graph neural networks,

Reference 18

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source=pdf_text observed=2026-08-01T21:39:37.353536Z digest=sha256:251771fae364cdeac5cbb05676902b65e7b05f4623696554a0801ee50c188a71

Observation ad04671e-8c28-45b3-86a4-aa92b1b1d015 · outbound

This paper cites Loftr: Detector- free local feature matching with transformers,.

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Loftr: Detector- free local feature matching with transformers,

Reference 19

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Observation 9f236b79-5a38-44e7-8f22-e7f2100e2d72 · outbound

This paper cites Minima: Modality invariant image matching,.

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Minima: Modality invariant image matching,

Reference 20

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Observation 43245dfe-f44f-435d-8558-fcf6792ed69d · outbound

This paper cites Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences.

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences

Reference 21

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Observation 16e5e4e5-b82c-4088-9f5b-7f166f5bd30e · outbound

This paper cites MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training.

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 22

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Observation 9252c2b5-3e86-477d-a784-fde497dc1ad9 · outbound

This paper cites Megadepth: Learning single-view depth pre- diction from internet photos,.

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Megadepth: Learning single-view depth pre- diction from internet photos,

Reference 23

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Observation 67000e49-5ff0-4561-bd85-07e44d220803 · outbound

This paper cites Measurement of areas on a sphere using fibonacci and latitude–longitude lattices,.

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Measurement of areas on a sphere using fibonacci and latitude–longitude lattices,

Reference 24

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Observation 9f6c3d8e-85aa-4117-9095-7c356f321850 · outbound

This paper cites Cnos: A strong baseline for cad-based novel object segmentation,.

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Cnos: A strong baseline for cad-based novel object segmentation,

Reference 25

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Observation c8651cef-d86d-4751-9563-bddf72176421 · outbound

This paper cites Lightglue: Local feature matching at light speed,.

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Lightglue: Local feature matching at light speed,

Reference 26

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Observation 9b9936ae-855e-4088-9ebb-965c5b760713 · outbound

This paper cites Bounded Simplex-Structured Matrix Factorization: Algorithms, Identifiability and Applications.

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Bounded Simplex-Structured Matrix Factorization: Algorithms, Identifiability and Applications

Reference 27

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Observation f4572be6-9ffd-49ca-bf2a-0e42ebe45b2a · outbound

This paper cites Bop: Benchmark for 6d object pose estimation.

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Bop: Benchmark for 6d object pose estimation

Reference 28

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Observation 15341170-c72e-4b02-b183-933628cc3de3 · outbound

This paper cites Accelerating 3D Deep Learning with PyTorch3D.

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Accelerating 3D Deep Learning with PyTorch3D

Reference 29

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Observation 42937b30-dd66-42a1-9038-23e2907d072d · outbound

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

PIXIE: A Zero-Shot texture-invariant 6D pose estimation framework for unseen objects with assembly defects Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes,

Reference 30

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Pith citing papers

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