Paper Citation Record · LEDGER

23 DoF Grasping Policies from a Raw Point Cloud

As of 13 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2411.14400.

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

pith.paper-citation-record.v1
2411.14400 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:17:39.927332Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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 fuzzy21
unresolved8
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 18b310f6-866e-4e50-83f6-6bb9dafb018b · outbound

This paper cites Hand posture subspaces for dexterous robotic grasping,.

23 DoF Grasping Policies from a Raw Point Cloud Hand posture subspaces for dexterous robotic grasping,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:17:40.343047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 381f9368-57e3-46ea-a2ea-c8588d8b9ed8 · outbound

This paper cites A probabilistic framework for uncertainty-aware high-accuracy precision grasping of unknown objects,.

23 DoF Grasping Policies from a Raw Point Cloud A probabilistic framework for uncertainty-aware high-accuracy precision grasping of unknown objects,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:17:40.329066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 379de2f9-b27b-42a8-925e-bb9a0a795a9a · outbound

This paper cites Examples of 3d grasp quality computations,.

23 DoF Grasping Policies from a Raw Point Cloud Examples of 3d grasp quality computations,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:17:40.314443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e540d8e3-5014-455f-be29-075518a0671c · outbound

This paper cites Computation of independent contact regions for grasping 3-d objects,.

23 DoF Grasping Policies from a Raw Point Cloud Computation of independent contact regions for grasping 3-d objects,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:17:40.300153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 882ad72a-916c-4f44-bc94-c045c949784b · outbound

This paper cites Synthesizing grasp configurations with specified contact regions,.

23 DoF Grasping Policies from a Raw Point Cloud Synthesizing grasp configurations with specified contact regions,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:17:40.285233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 70046c73-c49e-4596-957f-4e7ff024f07d · outbound

This paper cites Coping with the grasping uncertainties in force-closure analysis,.

23 DoF Grasping Policies from a Raw Point Cloud Coping with the grasping uncertainties in force-closure analysis,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:17:40.269786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d26c8dee-67db-4d48-a798-afa7965abd57 · outbound

This paper cites Hierarchical fingertip space: A unified framework for grasp planning and in-hand grasp adaptation,.

23 DoF Grasping Policies from a Raw Point Cloud Hierarchical fingertip space: A unified framework for grasp planning and in-hand grasp adaptation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:17:40.254323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bc6dc4e6-a449-4a46-a5a4-be8866955ffa · outbound

This paper cites Grasp stability prediction for a dexterous robotic hand combining depth vision and haptic bayesian exploration,.

23 DoF Grasping Policies from a Raw Point Cloud Grasp stability prediction for a dexterous robotic hand combining depth vision and haptic bayesian exploration,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:17:40.240100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 910ff604-2a0d-40f7-bd11-7154785efe6a · outbound

This paper cites Planning Multi-Fingered Grasps as Probabilistic Inference in a Learned Deep Network,.

23 DoF Grasping Policies from a Raw Point Cloud Planning Multi-Fingered Grasps as Probabilistic Inference in a Learned Deep Network,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:17:40.224185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7fe11280-d1af-42b5-80ed-085e57f60789 · outbound

This paper cites Modeling Grasp Type Improves Learning- Based Grasp Planning,.

23 DoF Grasping Policies from a Raw Point Cloud Modeling Grasp Type Improves Learning- Based Grasp Planning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:17:40.208212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 24d03423-d877-4194-ad22-7b50bb215595 · outbound

This paper cites Multi- fingered grasp planning via inference in deep neural networks,.

23 DoF Grasping Policies from a Raw Point Cloud Multi- fingered grasp planning via inference in deep neural networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:17:40.192813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a7d0b83d-d4e2-4881-9ffc-2285ba915514 · outbound

This paper cites Multi-Fingered Active Grasp Learning,.

23 DoF Grasping Policies from a Raw Point Cloud Multi-Fingered Active Grasp Learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:17:40.178784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1a701f03-32ef-45ed-be17-7f866ee9a10d · outbound

This paper cites Learning Continuous 3D Reconstructions for Geometrically Aware Grasping,.

23 DoF Grasping Policies from a Raw Point Cloud Learning Continuous 3D Reconstructions for Geometrically Aware Grasping,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:17:40.163973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 72113aa4-e788-4169-930e-10c8d9dd5af3 · outbound

This paper cites Planning visual-tactile precision grasps via complementary use of vision and touch,.

23 DoF Grasping Policies from a Raw Point Cloud Planning visual-tactile precision grasps via complementary use of vision and touch,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:17:40.148235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fe071afb-bd4a-42c5-af14-4ec6199be675 · outbound

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

23 DoF Grasping Policies from a Raw Point Cloud 6-dof graspnet: Variational grasp generation for object manipulation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:17:40.133594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 427d2722-c7c7-482b-bd18-90b9cd565927 · outbound

This paper cites Dynamical movement primitives: learning attractor models for motor behaviors,.

23 DoF Grasping Policies from a Raw Point Cloud Dynamical movement primitives: learning attractor models for motor behaviors,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T15:17:39.867555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2446a77-0a38-4bdf-bc8c-1eb55c68d981 · outbound

This paper cites Riemannian Motion Policies.

23 DoF Grasping Policies from a Raw Point Cloud Riemannian Motion Policies

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T15:17:39.871818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07485650-c13a-4fa4-a9a0-e0673ec58395 · outbound

This paper cites Rmp flow: A computational graph for automatic mo- tion policy generation,.

23 DoF Grasping Policies from a Raw Point Cloud Rmp flow: A computational graph for automatic mo- tion policy generation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:17:40.109851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f4a7a6aa-4958-4f31-8452-c61b989a73cd · outbound

This paper cites A unified approach for motion and force control of robot manipulators: The operational space formulation,.

23 DoF Grasping Policies from a Raw Point Cloud A unified approach for motion and force control of robot manipulators: The operational space formulation,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T15:17:39.880944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f3a56ff-3a10-4bcf-97c3-f94643b7b65b · outbound

This paper cites Geometric fabrics: Generalizing classical mechanics to capture the physics of behavior,.

23 DoF Grasping Policies from a Raw Point Cloud Geometric fabrics: Generalizing classical mechanics to capture the physics of behavior,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:17:40.086485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0eda64e6-0cf9-46ed-92ce-ce026a3036ac · outbound

This paper cites Neural geometric fabrics: Efficiently learning high-dimensional policies from demonstration,.

23 DoF Grasping Policies from a Raw Point Cloud Neural geometric fabrics: Efficiently learning high-dimensional policies from demonstration,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:17:40.072275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e3443f55-da54-4d82-bb42-be7f715fadee · outbound

This paper cites Learning robust real-world dexterous grasping policies via implicit shape augmentation,.

23 DoF Grasping Policies from a Raw Point Cloud Learning robust real-world dexterous grasping policies via implicit shape augmentation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:17:40.057267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b6b27147-3166-4313-ad18-0fa909fa78ea · outbound

This paper cites A reduction of imitation learning and structured prediction to no-regret online learning,.

23 DoF Grasping Policies from a Raw Point Cloud A reduction of imitation learning and structured prediction to no-regret online learning,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T15:17:39.900985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deb7f95f-75ba-4831-ac0a-9511fd8af9ec · outbound

This paper cites Dexgrasp-1m: Dexterous multi-finger grasp generation through differentiable simulation,.

23 DoF Grasping Policies from a Raw Point Cloud Dexgrasp-1m: Dexterous multi-finger grasp generation through differentiable simulation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:17:40.033473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3e4c6c80-0d36-40a1-a2bd-87618c33b19b · outbound

This paper cites Generalized nonlinear and finsler geometry for robotics,.

23 DoF Grasping Policies from a Raw Point Cloud Generalized nonlinear and finsler geometry for robotics,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:17:40.018212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 79ac251a-bb0b-4868-a1e0-24486b7f730d · outbound

This paper cites The ycb object and model set: Towards common benchmarks for manipulation research,.

23 DoF Grasping Policies from a Raw Point Cloud The ycb object and model set: Towards common benchmarks for manipulation research,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T15:17:39.914029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de98a369-71c0-4447-8422-42a628e7f101 · outbound

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

23 DoF Grasping Policies from a Raw Point Cloud Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T15:17:39.918448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5351b4b9-1935-451f-b2e1-ef6299f30125 · outbound

This paper cites Fast graph representation learning with PyTorch Geometric,.

23 DoF Grasping Policies from a Raw Point Cloud Fast graph representation learning with PyTorch Geometric,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T15:17:39.922745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb5a0417-7326-4e0e-a3ab-f80ad5b67fcb · outbound

This paper cites Deconstructing the Inductive Biases of Hamiltonian Neural Networks.

23 DoF Grasping Policies from a Raw Point Cloud Deconstructing the Inductive Biases of Hamiltonian Neural Networks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T15:17:39.927332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.