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Paper Citation Record · LEDGER

Detecting Pose Estimation Failures via Keypoint Self-Consistency

As of 9 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2608.03516.

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

pith.paper-citation-record.v1
2608.03516 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:38:33.800055Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

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.

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

46 of 46 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 81ede491-394b-4158-af30-57600b2d3298 · outbound

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

Detecting Pose Estimation Failures via Keypoint Self-Consistency BOP: Benchmark for 6D object pose estimation,

Reference 1

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Observation e8a76464-70d2-47ba-b0ec-2aacd8533944 · outbound

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

Detecting Pose Estimation Failures via Keypoint Self-Consistency Megapose: 6d pose estimation of novel objects via render & compare,

Reference 2

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Observation d8ca2b5a-da29-4d9c-aafe-a6e4ace88e58 · outbound

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

Detecting Pose Estimation Failures via Keypoint Self-Consistency Foun- dationPose: Unified 6D pose estimation and tracking of novel objects,

Reference 3

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Observation 97379f3c-8413-467a-b991-2777eaf7bfa0 · outbound

This paper cites Any6d: Model-free 6d pose estimation of novel objects,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Any6d: Model-free 6d pose estimation of novel objects,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 892bc0e0-5c0c-4022-a711-007899c86561 · outbound

This paper cites Posenet: A convolutional network for real-time 6-dof camera re- localization,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Posenet: A convolutional network for real-time 6-dof camera re- localization,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1b229d5e-d02c-42a5-805e-1758f9d04487 · outbound

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

Detecting Pose Estimation Failures via Keypoint Self-Consistency PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a9fdbb6a-4045-4938-bc3c-38d909ccfd18 · outbound

This paper cites 6-dof object pose from semantic keypoints,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency 6-dof object pose from semantic keypoints,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation cb3a67b0-aa67-4e02-be47-7c6348f13d27 · outbound

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

Detecting Pose Estimation Failures via Keypoint Self-Consistency Pvnet: Pixel-wise voting network for 6dof pose estimation,

Reference 8

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Source-reported events for the cited work

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Observation bc8bac9c-b0f6-4c79-ba3b-65bac6e24cca · outbound

This paper cites End- to-end learnable geometric vision by backpropagating pnp optimization,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency End- to-end learnable geometric vision by backpropagating pnp optimization,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 18561589-12d1-4d8d-8db4-77857bcbfc57 · outbound

This paper cites Semantic keypoint-based pose estimation from single RGB frames.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Semantic keypoint-based pose estimation from single RGB frames

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1f72ee39-2e3a-45ed-8ee8-ad3592882a04 · outbound

This paper cites Object pose estimation with statistical guarantees: Conformal keypoint detection and geometric uncertainty propagation,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Object pose estimation with statistical guarantees: Conformal keypoint detection and geometric uncertainty propagation,

Reference 11

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Source-reported events for the cited work

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Observation 928251e8-37fe-4b49-b6e3-1c3ce63e61dd · outbound

This paper cites Making deep heatmaps robust to partial occlusions for 3d object pose estimation,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Making deep heatmaps robust to partial occlusions for 3d object pose estimation,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1b29649b-4854-4fbc-b566-42a599be70e7 · outbound

This paper cites GDR-Net: Geometry-guided direct regression network for monocu- lar 6d object pose estimation,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency GDR-Net: Geometry-guided direct regression network for monocu- lar 6d object pose estimation,

Reference 13

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Source-reported events for the cited work

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Observation b6e0cab9-5043-47b3-aa78-2ddc8db68afe · outbound

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

Detecting Pose Estimation Failures via Keypoint Self-Consistency On the continuity of rotation representations in neural networks,

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4d115e47-ca8c-4078-89bc-6f9260dbb238 · outbound

This paper cites Cosy- pose: Consistent multi-view multi-object 6d pose esti- mation,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Cosy- pose: Consistent multi-view multi-object 6d pose esti- mation,

Reference 15

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Source-reported events for the cited work

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Observation 6858169c-8426-4d5f-9192-99ac1d3d1cdb · outbound

This paper cites A review of solutions for perspective-n- point problem in camera pose estimation,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency A review of solutions for perspective-n- point problem in camera pose estimation,

Reference 16

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Source-reported events for the cited work

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Observation b78dc5d6-cf2f-4f7b-83a6-291ac72394c9 · outbound

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

Detecting Pose Estimation Failures via Keypoint Self-Consistency Epnp: An accurate o(n) solution to the pnp problem,

Reference 17

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Source-reported events for the cited work

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Observation 51c6a876-73d6-4ecd-aa63-32374eee85c6 · outbound

This paper cites Object recognition from local scale- invariant features,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Object recognition from local scale- invariant features,

Reference 18

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Source-reported events for the cited work

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Observation df76fda1-3192-4d4b-b6ec-c3ed753d6f08 · outbound

This paper cites 3d object modeling and recognition using local affine- invariant image descriptors and multi-view spatial con- straints,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency 3d object modeling and recognition using local affine- invariant image descriptors and multi-view spatial con- straints,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2cea7e59-3650-417b-81e4-c89edd986dd1 · outbound

This paper cites Bb8: A scalable, accurate, robust to partial occlusion method for predicting the 3d poses of challenging objects without using depth,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Bb8: A scalable, accurate, robust to partial occlusion method for predicting the 3d poses of challenging objects without using depth,

Reference 20

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Source-reported events for the cited work

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Observation c04cad56-68e0-4406-b0dc-3c2d45452c13 · outbound

This paper cites Ssd-6d: Making rgb-based 3d detection and 6d pose estimation great again,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Ssd-6d: Making rgb-based 3d detection and 6d pose estimation great again,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 23d90f20-9a39-4dbe-a498-47961b3b70df · outbound

This paper cites Real-time seamless single shot 6d object pose prediction,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Real-time seamless single shot 6d object pose prediction,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a6f01ed1-8011-49a8-ac1e-e6a011d1952a · outbound

This paper cites Segmentation-driven 6d object pose estimation,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Segmentation-driven 6d object pose estimation,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c4fe2e9c-28ba-4234-a99a-9898711587ec · outbound

This paper cites A baseline for detecting misclassified and out-of-distribution examples in neural networks,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency A baseline for detecting misclassified and out-of-distribution examples in neural networks,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5e729ada-be46-440d-a847-8326d405e203 · outbound

This paper cites Addressing failure prediction by learning model confidence,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Addressing failure prediction by learning model confidence,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a5a11515-354e-4743-a85c-a59767e16607 · outbound

This paper cites Learning Confidence for Out-of-Distribution Detection in Neural Networks.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Learning Confidence for Out-of-Distribution Detection in Neural Networks

Reference 26

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Source-reported events for the cited work

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Observation d93672da-a17b-433b-8ef8-17f575e72d16 · outbound

This paper cites Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

Reference 27

Resolution
unresolved
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Source-reported events for the cited work

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Observation 391e6d82-3644-4cce-bc8a-828c358c2e7b · outbound

This paper cites A simple unified framework for detecting out-of-distribution samples and adversarial attacks,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency A simple unified framework for detecting out-of-distribution samples and adversarial attacks,

Reference 28

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Source-reported events for the cited work

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Observation f0187f93-f549-4ec9-b0c6-7000b5bb0d77 · outbound

This paper cites Prediction error meta classification in semantic segmentation: Detection via aggregated dispersion measures of softmax probabilities,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Prediction error meta classification in semantic segmentation: Detection via aggregated dispersion measures of softmax probabilities,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 3bc0c029-6ce2-49ff-9aad-a0e1ee9951d5 · outbound

This paper cites En- tropy maximization and meta classification for out- of-distribution detection in semantic segmentation,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency En- tropy maximization and meta classification for out- of-distribution detection in semantic segmentation,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e402a6e7-28cf-4b4a-8b4b-40a01706c913 · outbound

This paper cites Towards meaningful un- certainty information for cnn based 6d pose estimates,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Towards meaningful un- certainty information for cnn based 6d pose estimates,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 26dd15a1-8fc2-430d-8466-c23470d877d7 · outbound

This paper cites Fast uncertainty quantifi- cation for deep object pose estimation,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Fast uncertainty quantifi- cation for deep object pose estimation,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f3203ea4-d9c0-4bc9-bc93-a0b4304e8e6c · outbound

This paper cites Uncer- tainty quantification with deep ensembles for 6d object pose estimation,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Uncer- tainty quantification with deep ensembles for 6d object pose estimation,

Reference 33

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raw_fallback, observed 2026-08-05T17:38:37.374735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f5c90189-00ce-408f-8111-87cba934a0db · outbound

This paper cites Learning orientation distributions for object pose estimation,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Learning orientation distributions for object pose estimation,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:38:37.201808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:38:32.007213Z digest=sha256:8dddd2469cd8d2318a3839c5c7f32fb05dedc2c4ae04711d0b2db9c8ee068ffb

Observation adca576a-0b61-4dc4-aae0-774bb58c49d7 · outbound

This paper cites Surfemb: Dense and continuous correspondence distributions for object pose estimation with learnt surface embeddings,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Surfemb: Dense and continuous correspondence distributions for object pose estimation with learnt surface embeddings,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:38:36.924631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:38:32.155730Z digest=sha256:c544e4805d72db7f08c24a5f8ef4af62c3071c89cccea287d1c88d62618a3676

Observation 3fe7cdcf-e555-4c27-bd72-4c98118d9cc2 · outbound

This paper cites Robust 6d object pose estimation by learning rgb-d features,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Robust 6d object pose estimation by learning rgb-d features,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:38:36.692413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:38:32.267047Z digest=sha256:5f2b2f1665bca4a5b8e0f2b51808b2d7c03ecbf2b41d139e626970cc1360cab8

Observation 02e8f4bc-6124-4ade-a74b-b9c910d38203 · outbound

This paper cites Uncertainty-driven 6d pose estimation of objects and scenes from a single rgb image,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Uncertainty-driven 6d pose estimation of objects and scenes from a single rgb image,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:38:36.525284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:38:32.339085Z digest=sha256:3feaabdf5361ad062da837f96266c65f01c8242e0612e78dfd89c2d0a6b3e15b

Observation 771dae9f-0aab-41ca-aa7a-695675d25ce5 · outbound

This paper cites Keypoint-based category-level object pose tracking from an rgb sequence with uncertainty estimation,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Keypoint-based category-level object pose tracking from an rgb sequence with uncertainty estimation,

Reference 38

Resolution
malformed identifier
no resolver link, observed 2026-08-05T17:38:32.422212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:38:32.422212Z digest=sha256:793ebfc52f0f3c68eb789466899b2e09d39be3c02c9b06ebf085d8cd6edb35ef

Observation c99478ca-1710-4309-9225-e167a758903a · outbound

This paper cites Maskval: Simple but effec- tive uncertainty quantification for 6d pose estimation,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Maskval: Simple but effec- tive uncertainty quantification for 6d pose estimation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:38:36.286144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:38:32.577808Z digest=sha256:7d784b34d1c42383709db230e6d4902ef703a324c2ce11d263360cf6ee8f7546

Observation f6db7751-65cb-41b8-a65c-6de6a43894fa · outbound

This paper cites Tracing back error sources to explain and mitigate pose estimation failures,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Tracing back error sources to explain and mitigate pose estimation failures,

Reference 40

Resolution
verified exact
raw_fallback, observed 2026-08-05T17:38:34.174265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:38:32.738301Z digest=sha256:b935c840414f3c0e4f78c94842d0b7604022db56a353d280e4e36878843ea95e

Observation fc16fbe3-74a9-4e35-9266-9ebd3340dca8 · outbound

This paper cites V ovk, A.

Detecting Pose Estimation Failures via Keypoint Self-Consistency V ovk, A

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:38:35.935198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:38:32.948715Z digest=sha256:220136a819c5320cd3486b16001c43b1b3126e86073182b568eaf606d7c5c5ca

Observation fa7af9ed-908f-4b5d-82c0-04221d88fb68 · outbound

This paper cites Inductive confidence machines for regression,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Inductive confidence machines for regression,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:38:35.640578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:38:33.153439Z digest=sha256:6a533cf532fbf635c73d6bc0c326102ce979a6990d16780869dd1527dde4bd72

Observation 7fee80af-6529-435c-adad-83cb31bc692a · outbound

This paper cites Uncertainty Quantification for Visual Object Pose Estimation: S-Lemma Ellipsoidal Bounds.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Uncertainty Quantification for Visual Object Pose Estimation: S-Lemma Ellipsoidal Bounds

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T17:38:33.342354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:38:33.342354Z digest=sha256:4dcbe24039e81da13726bf25106debdf7fc0a78ab1f7d889781b1697171098f1

Observation b2260e83-b7c7-465a-92d4-5daf168b0235 · outbound

This paper cites Segment anything,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Segment anything,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:38:35.366491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:38:33.479522Z digest=sha256:d7e6b7bac2978bccd46fda24858ceea485115ff64942fd6f79e59284ac96e872

Observation 980c735d-7f21-49c0-845a-8be665b145fc · outbound

This paper cites Perspective-n-point (PnP) pose computation — OpenCV 4.13.0,.

Detecting Pose Estimation Failures via Keypoint Self-Consistency Perspective-n-point (PnP) pose computation — OpenCV 4.13.0,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:38:35.024560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:38:33.648503Z digest=sha256:9b62c73a1c494e3edd56f048cde559d6d9bd503e2a14d7e0e457753391b3f626

Observation 5c386eea-7987-493b-bce0-f51c5057fcea · outbound

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

Detecting Pose Estimation Failures via Keypoint Self-Consistency Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:38:34.723213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T17:38:33.800055Z digest=sha256:be5f761df818921c4848fd600aa2f445a10c4407b873b98af3d023757773d531

Pith citing papers

No inbound Pith citation observations are available.