KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning | Paper Citation Record

Observation 7182a003-8c82-48ce-a852-72abcd041d50 · outbound

This paper cites Sg-bot: Object rearrangement via coarse-to-fine robotic imagination on scene graphs,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Sg-bot: Object rearrangement via coarse-to-fine robotic imagination on scene graphs,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:33.855654Z

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Observation 990a31fe-c412-4dfc-b5ea-1b312dc3056c · outbound

This paper cites Structformer: Learning spatial structure for language-guided semantic rearrangement of novel objects,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Structformer: Learning spatial structure for language-guided semantic rearrangement of novel objects,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:33.835336Z

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Observation 6f3f2f10-7bb1-4054-a218-9a592cc5320d · outbound

This paper cites Graspgpt: Leveraging semantic knowledge from a large language model for task- oriented grasping,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Graspgpt: Leveraging semantic knowledge from a large language model for task- oriented grasping,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:33.816664Z

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Observation b0b319ca-e121-4698-91b7-70012b3e503c · outbound

This paper cites Language embedded radiance fields for zero-shot task-oriented grasping,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Language embedded radiance fields for zero-shot task-oriented grasping,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:33.797106Z

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Observation f23192fc-5af7-4519-a1dd-ff47f833e230 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:24.678193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 750f55a2-48e3-4ecd-97b2-5ed185920af5 · outbound

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

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:24.746360Z

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Observation b67a1f79-8849-4408-be63-12efac7442bf · outbound

This paper cites Towards scale balanced 6-dof grasp detection in cluttered scenes,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Towards scale balanced 6-dof grasp detection in cluttered scenes,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:33.756679Z

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Observation f30ebdde-53bb-4687-932a-d839fcb57ef6 · outbound

This paper cites Rgb matters: Learning 7-dof grasp poses on monocular rgbd images,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Rgb matters: Learning 7-dof grasp poses on monocular rgbd images,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:33.739902Z

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Observation 1821fb7d-2205-4642-8591-43b4ad607d4f · outbound

This paper cites Monograspnet: 6-dof grasping with a single rgb image,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Monograspnet: 6-dof grasping with a single rgb image,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:33.680130Z

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Observation e67adc7c-e3c0-4890-8822-1e289c30fdba · outbound

This paper cites Keypoint-graspnet: Keypoint- based 6-dof grasp generation from the monocular rgb-d input,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Keypoint-graspnet: Keypoint- based 6-dof grasp generation from the monocular rgb-d input,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:33.510053Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3f1e3505-2abf-4e19-ad81-8e9dfc1a8c2b · outbound

This paper cites Kgnv2: Separating scale and pose prediction for keypoint-based 6-dof grasp synthesis on rgb-d input,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Kgnv2: Separating scale and pose prediction for keypoint-based 6-dof grasp synthesis on rgb-d input,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:33.370021Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1d2e3b64-6303-4776-b10b-d5826a8c3785 · outbound

This paper cites Gknet: Grasp keypoint network for grasp candidates detection,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Gknet: Grasp keypoint network for grasp candidates detection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:33.136863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bfce7494-d20e-41c1-97f8-a1a9fe307d2e · outbound

This paper cites Glace: Global local accelerated coordinate encoding,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Glace: Global local accelerated coordinate encoding,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:32.916768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2ea84275-2bd1-4bf5-8115-1b77ea8725e9 · outbound

This paper cites Grasp pose detection in point clouds,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Grasp pose detection in point clouds,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:32.727990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 14ef0bd4-b203-4e93-8201-bc2b391b8a03 · outbound

This paper cites Dex-net 1.0: A cloud-based network of 3d objects for robust grasp planning using a multi-armed bandit model with correlated rewards,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Dex-net 1.0: A cloud-based network of 3d objects for robust grasp planning using a multi-armed bandit model with correlated rewards,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:32.482899Z

Source-reported events for the cited work

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Observation 7696e84f-0676-4063-a642-0b08b584e593 · outbound

This paper cites Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:25.595782Z

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Observation de075c3b-a782-4a97-b2d6-3b0628ff75a9 · outbound

This paper cites 6dof grasp planning by optimizing a deep learning scoring function,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning 6dof grasp planning by optimizing a deep learning scoring function,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:32.275719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f0341867-1088-4652-a13d-0dd2d09d5dd9 · outbound

This paper cites High precision grasp pose detection in dense clutter,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning High precision grasp pose detection in dense clutter,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:32.056231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9acf7f0b-d3ed-4585-b458-7102c4e555b3 · outbound

This paper cites Pointnetgpd: Detecting grasp configurations from point sets,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Pointnetgpd: Detecting grasp configurations from point sets,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:31.845387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 68dc3caf-94e0-4591-b362-71f9161b7b50 · outbound

This paper cites Da 2 dataset: Toward dexterity-aware dual- arm grasping,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Da 2 dataset: Toward dexterity-aware dual- arm grasping,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:31.719478Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0ea9a593-9cc9-443f-afac-bf727267c045 · outbound

This paper cites Grasping in the wild: Learning 6dof closed-loop grasp- ing from low-cost demonstrations,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Grasping in the wild: Learning 6dof closed-loop grasp- ing from low-cost demonstrations,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:31.528635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 19ab9ec7-c66c-4216-a1f4-d94cadd19462 · outbound

This paper cites Learning synergies between pushing and grasping with self- supervised deep reinforcement learning,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Learning synergies between pushing and grasping with self- supervised deep reinforcement learning,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:26.087163Z

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Observation 29b05773-f683-4e92-b524-10f9adc6a477 · outbound

This paper cites Reinforcement learning based pushing and grasping objects from ungraspable poses,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Reinforcement learning based pushing and grasping objects from ungraspable poses,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:31.405188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e5bebfcd-8fe8-41af-85f3-718521fa6594 · outbound

This paper cites Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:31.273672Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7ef47b81-4f72-43c2-acad-8d2ed7b29f64 · outbound

This paper cites Learning dexterous manipulation from exemplar object trajectories and pre-grasps,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Learning dexterous manipulation from exemplar object trajectories and pre-grasps,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:31.113549Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8ffb7bec-859b-4829-8d56-212ad1ec2f13 · outbound

This paper cites Contact- graspnet: Efficient 6-dof grasp generation in cluttered scenes,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Contact- graspnet: Efficient 6-dof grasp generation in cluttered scenes,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:30.968922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7251a38d-9db3-45b9-9e8b-c753a30799ca · outbound

This paper cites kpam: Keypoint affordances for category-level robotic manipulation,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning kpam: Keypoint affordances for category-level robotic manipulation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:30.837974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 136c7322-f89a-4601-b695-0ffc077742b4 · outbound

This paper cites A data-driven statistical frame- work for post-grasp manipulation,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning A data-driven statistical frame- work for post-grasp manipulation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:30.681619Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 192c86e1-5119-42f6-85a4-b097cbaac8c2 · outbound

This paper cites Control-based grasp planning with contact points,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Control-based grasp planning with contact points,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:30.516977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fef44323-bb7b-4ba0-b730-d8512e1254f0 · outbound

This paper cites Epro- pnp: Generalized end-to-end probabilistic perspective-n-points for monocular object pose estimation,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Epro- pnp: Generalized end-to-end probabilistic perspective-n-points for monocular object pose estimation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:30.325435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0b539156-08b3-4bef-ba43-8daf91f56dba · outbound

This paper cites Adaptive multiple importance sampling,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Adaptive multiple importance sampling,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:30.144160Z

Source-reported events for the cited work

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Observation 0708f4d8-9dea-4ddc-8210-bf4b232bbe90 · outbound

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

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Epnp: An accurate o(n) solution to the pnp problem,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:29.992131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b5d49cd9-e956-426b-a302-316ff5e2d67a · outbound

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

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Normalized object coordinate space for category-level 6d object pose and size estimation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:29.860237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7a7318b0-dc70-49ad-85c8-78dba843ef5d · outbound

This paper cites Secondpose: Se (3)-consistent dual-stream feature fusion for category-level pose estimation,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Secondpose: Se (3)-consistent dual-stream feature fusion for category-level pose estimation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:29.712635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 25525825-f1d0-4070-b2c4-8a67f139bf41 · outbound

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

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning End-to-end learnable geometric vision by backpropagating pnp optimization,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:29.556866Z

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Observation d1cabde1-befa-4b5a-b718-b42d4aaf19bc · outbound

This paper cites Deep layer aggrega- tion,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Deep layer aggrega- tion,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:29.447675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 62ad5247-f1af-4d5c-b9e6-770c61ad472c · outbound

This paper cites Deformable convolutional networks,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Deformable convolutional networks,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:27.303647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84ce6497-f188-4bf1-8c6a-5a868b4ac7bd · outbound

This paper cites 6-dof graspnet: Variational grasp generation for object manipulation,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning 6-dof graspnet: Variational grasp generation for object manipulation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:29.267344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 02ceefd9-b618-4c95-9a6c-2b74eefe749b · outbound

This paper cites Learning 6-dof grasping interaction via deep geometry- aware 3d representations,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Learning 6-dof grasping interaction via deep geometry- aware 3d representations,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:29.124832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1ebe97a7-41fc-4867-9209-179d22152726 · outbound

This paper cites Jacquard: A large scale dataset for robotic grasp detection,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Jacquard: A large scale dataset for robotic grasp detection,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:28.928109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b09d5df3-dbb2-4602-8a82-3e8971019e1c · outbound

This paper cites Primitive Shape Recognition for Object Grasping.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Primitive Shape Recognition for Object Grasping

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:51:28.193165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f65c6ccc-9d4c-444b-8491-89fc585330a5 · outbound

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

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:27.714865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ce45da3-bac1-409d-bede-ec187a6b625e · outbound

This paper cites Catgrasp: Learning category-level task-relevant grasping in clutter from simulation,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Catgrasp: Learning category-level task-relevant grasping in clutter from simulation,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:28.798776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bf1f76f7-86e5-40e1-bbcb-08ace4aa8ca2 · outbound

This paper cites 6d robotic grasping system using convolutional neural networks and adaptive artificial potential fields with orientation control,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning 6d robotic grasping system using convolutional neural networks and adaptive artificial potential fields with orientation control,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:28.664377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4ba6157e-9da9-4b49-84d0-b5f3cbd59419 · outbound

This paper cites Centergrasp: Object-aware implicit representation learning for simultaneous shape reconstruction and 6-dof grasp estimation,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Centergrasp: Object-aware implicit representation learning for simultaneous shape reconstruction and 6-dof grasp estimation,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:28.534199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation edf57188-9b61-4b5d-a62d-a2b8f1969a6e · outbound

This paper cites Acronym: A large-scale grasp dataset based on simulation,.

KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning Acronym: A large-scale grasp dataset based on simulation,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:28.380428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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