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Paper Citation Record · LEDGER

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning

As of 13 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 2 inbound Pith citation observations for arXiv:2507.06662.

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

pith.paper-citation-record.v1
2507.06662 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:03:14.248179Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T19:30:10.163183Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T19:33:42.373479Z

Reference resolution

36 of 36 outbound references displayed

  • verified exact0
  • verified fuzzy31
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec5e0da3-1987-4e0d-8515-9b3d55c59bbf · outbound

This paper cites Self6d: Self-supervised monocular 6d object pose estimation,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Self6d: Self-supervised monocular 6d object pose estimation,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 0dfd6e9a-ce88-47b3-bcb3-ba9187be745b · outbound

This paper cites Model globally, match locally: Efficient and robust 3d object recognition,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Model globally, match locally: Efficient and robust 3d object recognition,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation cebec7fd-ee04-44c4-a24f-bb2fa989b54b · outbound

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

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 40dc8d14-37be-4809-9085-c3316fd24e8b · outbound

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

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

Reference 4

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no resolver link, observed 2026-08-06T19:03:10.418114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:03:10.418114Z digest=sha256:bfdb053f71512b85d4bcdc60571b8512e822291b344eccb03af72b56336ab078

Observation aada34d1-2207-4dd1-bd64-5bc69ceb272f · outbound

This paper cites Densefusion: 6d object pose estimation by iterative dense fusion,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Densefusion: 6d object pose estimation by iterative dense fusion,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:03:10.487266Z digest=sha256:480fba46ccf4e6d84c5dbfe5717c1a8ea4fe9e8e6ecbc8743b33ae02100dcfa2

Observation bebd52fe-cd73-436f-a7ea-70b31f709727 · outbound

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

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Pvnet: Pixel- wise voting network for 6dof pose estimation,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:03:10.575983Z digest=sha256:040c82076dbc98302a83ff9eee9ff898cfb38bc18860ef9684db0337030f86e4

Observation 19dcfdf7-7269-47bd-9ce7-9bd732356a7c · outbound

This paper cites Symfm6d: Symmetry-aware multi-directional fusion for multi-view 6d object pose estimation,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Symfm6d: Symmetry-aware multi-directional fusion for multi-view 6d object pose estimation,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:03:10.653135Z digest=sha256:8e0f5cc1cafbc5a5b7373ca95c56619184e1f94010d750126b95a29c6e3d4c10

Observation 516778c2-9c19-4a7b-a802-8344270a2ae3 · outbound

This paper cites Ove6d: Object viewpoint encoding for depth-based 6d object pose estimation,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Ove6d: Object viewpoint encoding for depth-based 6d object pose estimation,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:03:10.832998Z digest=sha256:b2fa2234545c879ded6fb3d78ba24dc9890cc3fca7296efc54101dc1b708d3c7

Observation f485a8b1-b476-427a-bed6-53b31088ca07 · outbound

This paper cites Normalized object coordinate space for category-level 6d object pose and size estimation,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Normalized object coordinate space for category-level 6d object pose and size estimation,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7fdbfff9-0f56-4083-b82f-0a78c2975289 · outbound

This paper cites Fs-net: Fast shape-based network for category-level 6d object pose estimation with decoupled rotation mechanism,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Fs-net: Fast shape-based network for category-level 6d object pose estimation with decoupled rotation mechanism,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a7639083-5efd-4d3a-a596-a688091e54df · outbound

This paper cites Shape prior deformation for categorical 6d object pose and size estimation,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Shape prior deformation for categorical 6d object pose and size estimation,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:03:11.064269Z digest=sha256:179d87e1bb1a9a82887228d8d1e6fa32bb275f0a49ce7b5d7d6db6c079b3d9b4

Observation eaa89c57-c717-4ada-8fae-0140923fc84b · outbound

This paper cites Sgpa: Structure-guided prior adaptation for category-level 6d object pose estimation,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Sgpa: Structure-guided prior adaptation for category-level 6d 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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:03:11.138672Z digest=sha256:cd900865b4c24ae0c01dadc2b8a7cdeed584742ed397335e12191ba500ee2899

Observation 4fde9757-b174-47cc-8548-08db1031154b · outbound

This paper cites Sar-net: Shape alignment and recovery network for category-level 6d object pose and size estimation,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Sar-net: Shape alignment and recovery network for category-level 6d object pose and size estimation,

Reference 13

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raw_fallback, observed 2026-08-06T19:03:14.451644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:03:11.204983Z digest=sha256:7b6de7215a7873029323c2774d83c9407c524143c2bba1b55d7180f4323ebd7d

Observation f35a80c8-0b67-4cb6-af50-3fe5068fe378 · outbound

This paper cites Rbp-pose: Residual bounding box projection for category-level pose estimation,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Rbp-pose: Residual bounding box projection for category-level pose estimation,

Reference 14

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raw_fallback, observed 2026-08-06T19:03:14.443628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:03:11.309777Z digest=sha256:e1d7ec7f90d133cddf9809d7f968412d8245d0de0415c6e1cc6f508b0eba3069

Observation de582442-02a5-41f1-bf0e-e843c12d2066 · outbound

This paper cites Dualposenet: Category- level 6d object pose and size estimation using dual pose network with refined learning of pose consistency,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Dualposenet: Category- level 6d object pose and size estimation using dual pose network with refined learning of pose consistency,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:03:11.405803Z digest=sha256:97a862b2bdbc5417a96cc7f70c1e272c9991c6a07ee37fd085a422e48687df2f

Observation 1bed88af-5053-4d0c-b658-3c0a96dff0ca · outbound

This paper cites Gpv-pose: Category-level object pose estimation via geometry-guided point-wise voting,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Gpv-pose: Category-level object pose estimation via geometry-guided point-wise voting,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:03:11.480914Z digest=sha256:a9f0d29e8cd3fa1214c9295f9faa6cb91e40042d0f14516bd4cbf8a494ba6f89

Observation 3063c7a5-61fb-433a-84f2-f638dd96fd16 · outbound

This paper cites Prior-free category-level pose estimation with implicit space transformation,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Prior-free category-level pose estimation with implicit space transformation,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:03:11.563511Z digest=sha256:38a23fb6f663da5c2c7265e4fd076afca7a383e5f72ac0ff9b137f8c8442d356

Observation a88c8cb2-6596-45e5-8178-ab71653e0559 · outbound

This paper cites Query6dof: Learning sparse queries as implicit shape prior for category-level 6dof pose estimation,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Query6dof: Learning sparse queries as implicit shape prior for category-level 6dof pose estimation,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c1df8615-7dd8-4db6-8ec0-d885555a7a7d · outbound

This paper cites Instance-adaptive and geometric-aware keypoint learning for category-level 6d object pose estimation,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Instance-adaptive and geometric-aware keypoint learning for category-level 6d object pose estimation,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:03:11.664050Z digest=sha256:2a7aaea248bb9865444b4c6b02a36cc6aa4e34f80e1ebf271dc87d4f1468c9b0

Observation 1efafe1f-56dd-4ae6-bd7d-1656260dd1c5 · outbound

This paper cites Lapose: Laplacian mixture shape modeling for rgb-based category-level object pose estimation,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Lapose: Laplacian mixture shape modeling for rgb-based category-level object pose estimation,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:03:11.854931Z digest=sha256:4ee190dca3f27155e5116783a2595f4a91c87163986eb3dbda3ae672813b19b3

Observation 7274f2b9-571b-47f0-810e-45d38167e872 · outbound

This paper cites Generative category-level object pose estimation via diffusion models,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Generative category-level object pose estimation via diffusion models,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:03:12.008164Z digest=sha256:a76863c28c6fd7e148f39de2d05d7af7734b8edd3e218ee033dfb98e5ef9c04f

Observation 8ad0b396-5943-4425-a35e-2825b497fe22 · outbound

This paper cites Omni6dpose: a benchmark and model for universal 6d object pose estimation and tracking,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Omni6dpose: a benchmark and model for universal 6d object pose estimation and tracking,

Reference 22

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raw_fallback, observed 2026-08-06T19:03:14.382238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:03:12.207311Z digest=sha256:cc1a9ce9d18eb985a510395ed657ef7b37294f779cab65598a26c35520f1db88

Observation 57beda01-f3a7-4d0f-a3b8-23eaa246ace2 · outbound

This paper cites Open-vocabulary category-level object pose and size estimation,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Open-vocabulary category-level object pose and size estimation,

Reference 23

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raw_fallback, observed 2026-08-06T19:03:14.374878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:03:12.361576Z digest=sha256:8398fedf051b59be8525de5d0e762a11c7aa852f41ddda8a87f13568c492ff10

Observation 0df5e27d-0c7a-47af-8009-61a2dca30475 · outbound

This paper cites Category-level 6d object pose and size estimation using self-supervised deep prior deformation networks,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Category-level 6d object pose and size estimation using self-supervised deep prior deformation networks,

Reference 24

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raw_fallback, observed 2026-08-06T19:03:14.367126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:03:12.515434Z digest=sha256:9d79f3a19416f3b55c8ee1748e4fc660660ad0ba62c2d095c11b868836fd264d

Observation 3ea88e64-b9e4-4c21-8297-ff739179f8e8 · outbound

This paper cites Gs-pose: Category-level object pose estimation via geometric and semantic correspondence,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Gs-pose: Category-level object pose estimation via geometric and semantic correspondence,

Reference 25

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raw_fallback, observed 2026-08-06T19:03:14.359169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:03:12.663298Z digest=sha256:e9c42edd925270a8bffbcb5eeaa9dd6140a99951d6b2292a28311ee29833da43

Observation 2c219c2c-4af4-4b2e-a97f-08b656da4b0d · outbound

This paper cites Cppf: Towards robust category- level 9d pose estimation in the wild,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Cppf: Towards robust category- level 9d pose estimation in the wild,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:03:12.809530Z digest=sha256:416471b29901043f2cdd04374cb1ed14cf560b7f9d7bc1e4019572698a2f4cfe

Observation 00f11633-fb4f-49a7-833d-bb2449158b5a · outbound

This paper cites Diffusionnocs: Managing symmetry and uncer- tainty in sim2real multi-modal category-level pose estimation,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Diffusionnocs: Managing symmetry and uncer- tainty in sim2real multi-modal category-level pose estimation,

Reference 27

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raw_fallback, observed 2026-08-06T19:03:14.343298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:03:12.934032Z digest=sha256:e94afa2ce9659162040898a1148ced9981d2e3e098d4f8893efca714adfce46e

Observation edb6f40a-85ca-4004-a4cc-320792b81853 · outbound

This paper cites Deep learning reactive robotic grasping with a versatile vacuum gripper,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Deep learning reactive robotic grasping with a versatile vacuum gripper,

Reference 28

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raw_fallback, observed 2026-08-06T19:03:14.335113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:03:13.043531Z digest=sha256:35760bf1cf3a7fcc28c091b6278da29f9fdc2cbb251e5d89e29cd2b761dea40b

Observation 18e6e14e-572e-4424-b907-d55380474606 · outbound

This paper cites Attribute-based robotic grasping with data-efficient adaptation,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Attribute-based robotic grasping with data-efficient adaptation,

Reference 29

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raw_fallback, observed 2026-08-06T19:03:14.327119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:03:13.181519Z digest=sha256:d92a8309836575925c2f7adc1fd12b86d27ea4cf3178bda6fb65809ad138e9b3

Observation a7ba525d-c313-477f-a4cd-4cb500b1e4db · outbound

This paper cites Learning human-like functional grasping for multi-finger hands from few demonstrations,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Learning human-like functional grasping for multi-finger hands from few demonstrations,

Reference 30

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raw_fallback, observed 2026-08-06T19:03:14.318058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:03:13.335674Z digest=sha256:74d0ddc5f395c4901db99ef820b18f9cc92066458de01351c0a7cf59aa89018d

Observation 2bcd41b9-c422-4552-8a3d-fbc515a86dce · outbound

This paper cites Ps6d: Point cloud based symmetry-aware 6d object pose estimation in robot bin-picking,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Ps6d: Point cloud based symmetry-aware 6d object pose estimation in robot bin-picking,

Reference 31

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raw_fallback, observed 2026-08-06T19:03:14.309361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:03:13.500318Z digest=sha256:cf09db03a2b7e0468eec4e2f98c9daed0c3585f1c18e018bd41937fd47bc93e9

Observation 550d372b-83d7-4999-a79c-5bb928e18c09 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning DINOv2: Learning Robust Visual Features without Supervision

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2693b090-798f-4583-b51e-36d5785f171a · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 33

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Observation c91641b9-6f13-45f0-add2-1a14d3e68670 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Learning transferable visual models from natural language supervision,

Reference 34

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no resolver link, observed 2026-08-06T19:03:13.987710Z

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Observation 3dfb9ead-52bd-417d-8e8b-22a32859a841 · outbound

This paper cites Mask r-cnn,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Mask r-cnn,

Reference 35

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Observation 392601f9-c157-49db-bf72-23b613c9f74a · outbound

This paper cites Housecat6d-a large-scale multi-modal category level 6d object perception dataset with household objects in realistic scenarios,.

MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning Housecat6d-a large-scale multi-modal category level 6d object perception dataset with household objects in realistic scenarios,

Reference 36

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Pith citing papers

Observation f929f95e-9edf-4fbb-9bbd-5bfcf3123ef2 · inbound

TSM-Pose: Topology-Aware Learning with Semantic Mamba for Category-Level Object Pose Estimation cites this paper.

TSM-Pose: Topology-Aware Learning with Semantic Mamba for Category-Level Object Pose Estimation MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning

Reference 35

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arxiv_id, observed 2026-05-10T06:51:45.802545Z

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Observation 0706500f-853b-4bdb-b6da-fbb21c96c61d · inbound

DecomPose: Disentangling Cross-Category Optimization Contention for Category-Level 6D Object Pose Estimation cites this paper.

DecomPose: Disentangling Cross-Category Optimization Contention for Category-Level 6D Object Pose Estimation MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning

Reference 12

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arxiv_id, observed 2026-05-20T19:33:42.376953Z

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