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Paper Citation Record · LEDGER

23 DoF Grasping Policies from a Raw Point Cloud

As of 14 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 2026-08-14T06:32:32.682623+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
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  • 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

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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 2026-08-14T06:32:32.682623+00:00.

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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

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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 2026-08-14T06:32:32.682623+00:00.

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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

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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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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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:17:39.813222Z digest=sha256:0e55e13f4d01e8c35ebaa0fe278e70b8f9b4e9ca0fa065d162d32920da43802e

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:17:39.817855Z digest=sha256:4b47a83cb1c95c60e9f5ac9fdd794dc92fed5cb8b5a6bf9778a33d630b98d64e

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

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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.

source=pdf_text observed=2026-08-12T15:17:39.822831Z digest=sha256:039ef1095d53ca0784cdc64471da89f4d6ee38d7a362631aa3b151725a6f0b5e

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
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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:17:39.827856Z digest=sha256:f361d7a390bed091ca7477d02fc16429b41b27e25635bf20cc8bc273caeb0aee

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:17:39.832288Z digest=sha256:93a33ce36f935d4e25bb4ccf2f0217ccf6eba3cf14dd9c2b7c67a129deac44e8

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
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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:17:39.836723Z digest=sha256:f9c9a99ceebd898fc2caad07d8b16aa346929d156862a29943e77eb18774544b

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

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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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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
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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.

source=pdf_text observed=2026-08-12T15:17:39.845253Z digest=sha256:744a5b89490cef85059fa4207dca659d8b814494808402e124ffe3668225b218

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

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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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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

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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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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

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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 2026-08-14T06:32:32.682623+00:00.

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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

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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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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:17:39.867555Z digest=sha256:3fbfea9fd59d15d3596aa54cd5c6330d9c6d1ac2353a48f61448754154225bd3

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

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source=pdf_text observed=2026-08-12T15:17:39.871818Z digest=sha256:4c461bb421d7e737172738d42c36aa0ab291697bc2fc14cd5a4afbdd5472bf36

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
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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:17:39.876559Z digest=sha256:5edc83f29c135da4c206602c195e0bf71d52cd463058ad1c1b2c20b23ef156f3

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:17:39.880944Z digest=sha256:a574f33b1859639fc679fe91d987482e609668a8eee0a2a538ededb6eee00c4d

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
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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:17:39.885827Z digest=sha256:4b26ed3d3702263acbb1368162a1113746e33a0d25485f8e3892e6d3903b27db

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

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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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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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:17:39.896120Z digest=sha256:83ecec991b35e61dfec181758c97f67691150b72fee14c05d789c8105bbcdfcf

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:17:39.900985Z digest=sha256:1a3c70ef655d25bfca8dca20ccd943ac9395c1de81dd31a5b4a7c7267ec30b39

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 2026-08-14T06:32:32.682623+00:00.

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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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T15:17:39.909647Z digest=sha256:7754168cb741d9769367869abc449cc2003daa8a4f28b077f3691151db6697dd

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:17:39.914029Z digest=sha256:851f662e1d9669b3cd2693f1a44143248206146dd7ae4cf6ca05e8871df70518

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.

source=pdf_text observed=2026-08-12T15:17:39.918448Z digest=sha256:01243e387819d6ecc79a1432291e87730ba1e955894b29dddb322c38e856ecc1

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:17:39.922745Z digest=sha256:cdb8964746c0c3493240fb650867f95abb9f242318df64ee00b7674a85e6198b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:17:39.927332Z digest=sha256:1259277b652ca4cb559d55463cc9cf986d34b2eeaf4a6608d29ae5b4c8afa04f

Pith citing papers

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