Paper Citation Record · LEDGER

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2505.14819.

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

pith.paper-citation-record.v1
2505.14819 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:32:18.948562Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

26 of 26 outbound references displayed

verified exact0
verified fuzzy18
unresolved8
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e2f2b105-a202-4767-9a4e-3abd7cb440a1 · outbound

This paper cites Learning dexterous in-hand manipulation,.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation Learning dexterous in-hand manipulation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:32:23.427997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5b22b161-f51a-4641-96e2-ccb13d30cf51 · outbound

This paper cites Learning dexterous grasping with object-centric visual affordances,.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation Learning dexterous grasping with object-centric visual affordances,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:32:23.140796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c5b64890-bc2c-4a1e-af7b-998fb3aa37ab · outbound

This paper cites ContactDexNet: Multi-fingered Robotic Hand Grasping in Cluttered Environments through Hand-object Contact Semantic Mapping.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation ContactDexNet: Multi-fingered Robotic Hand Grasping in Cluttered Environments through Hand-object Contact Semantic Mapping

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T15:32:16.430473Z

Source-reported events for the cited work

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Observation 98a86b52-3535-4f5a-b556-415476d4fb15 · outbound

This paper cites Learning generalizable dexterous manipulation from human grasp affordance,.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation Learning generalizable dexterous manipulation from human grasp affordance,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:32:22.997442Z

Source-reported events for the cited work

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Observation e70fee54-dfd3-4541-8e47-c718db0f435e · outbound

This paper cites The ecological approach to visual perception,.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation The ecological approach to visual perception,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:32:22.627181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a8b3d99d-a6eb-406a-b4e1-34da83fc97c3 · outbound

This paper cites Affordancenet: An end-to-end deep learning approach for object affordance detection,.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation Affordancenet: An end-to-end deep learning approach for object affordance detection,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:32:22.216772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f6f32512-bfbd-445b-a6b9-48e064543c63 · outbound

This paper cites Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T15:32:16.822180Z

Source-reported events for the cited work

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Observation 2faf1345-b104-494d-924e-e00bcaa8f954 · outbound

This paper cites Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T15:32:16.931480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9eab0f50-e3dc-4954-8d59-b57d61080cab · outbound

This paper cites Bi-dexhands: Towards human-level bimanual dexterous manipulation,.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation Bi-dexhands: Towards human-level bimanual dexterous manipulation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:32:21.876718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 06ad9d91-944c-4840-9435-5f0b888b250a · outbound

This paper cites Object-based affordances detection with convolutional neural net- works and dense conditional random fields,.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation Object-based affordances detection with convolutional neural net- works and dense conditional random fields,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:32:21.607804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 20ab7341-d5e1-4b47-8ed1-50f8f4d0fab3 · outbound

This paper cites Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching,.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:32:21.402924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6d0c37a5-9949-4303-97b1-982b77eb789b · outbound

This paper cites Tooleenet: Tool affordance 6d pose estimation,.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation Tooleenet: Tool affordance 6d pose estimation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:32:21.197573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a3d5add6-e938-43b4-a642-89cf79e4dadb · outbound

This paper cites Affordance-Guided Reinforcement Learning via Visual Prompting.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation Affordance-Guided Reinforcement Learning via Visual Prompting

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T15:32:17.503399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20e6844a-cf87-4448-a3e3-12081224b541 · outbound

This paper cites Affordance learning from play for sample-efficient policy learning,.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation Affordance learning from play for sample-efficient policy learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:32:20.979850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 68b5e541-c9ef-4450-86f7-11da1f9b488d · outbound

This paper cites Learn- ing object affordances: from sensory–motor coordination to imitation,.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation Learn- ing object affordances: from sensory–motor coordination to imitation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:32:20.762152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5039da48-d42f-45aa-90d3-b5a20ba873cd · outbound

This paper cites Grasping affor- dances with the other’s hand: a tms study,.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation Grasping affor- dances with the other’s hand: a tms study,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:32:20.494035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 12beeffb-5314-4084-916d-301d8ded8445 · outbound

This paper cites Cross-category functional grasp transfer,.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation Cross-category functional grasp transfer,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:32:20.282153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a0588b9f-1a9b-4702-96ca-ceb9ffac759b · outbound

This paper cites Task-oriented grasping with point cloud representation of objects,.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation Task-oriented grasping with point cloud representation of objects,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:32:20.120853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0e667c82-caf6-4934-b75e-43450df5ae52 · outbound

This paper cites Constrained policy op- timization,.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation Constrained policy op- timization,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:32:19.954582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5b8cc082-ab00-4c30-b35a-0994eb559a96 · outbound

This paper cites Safe exploration in finite markov decision processes with gaussian processes,.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation Safe exploration in finite markov decision processes with gaussian processes,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:32:19.809309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ad399503-7be8-430d-874b-6eb74303644d · outbound

This paper cites Safe model-based reinforcement learning with stability guarantees,.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation Safe model-based reinforcement learning with stability guarantees,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T15:32:18.415882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c786bf9-090e-4d3d-a535-4bf11d32f0e1 · outbound

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

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation Grasping in the wild: Learning 6dof closed-loop grasping from low-cost demonstrations,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:32:18.497213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e87b7eb5-b3f9-4ce8-87a2-0dbfb472f136 · outbound

This paper cites Multisensory five-finger dexterous hand: The dlr/hit hand ii,.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation Multisensory five-finger dexterous hand: The dlr/hit hand ii,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:32:19.533356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b1ba8528-260b-4296-8406-9d7ec292700b · outbound

This paper cites Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T15:32:18.757382Z

Source-reported events for the cited work

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Observation 10594ec8-23cd-4c21-a64a-0e81aaf7027f · outbound

This paper cites Proximal Policy Optimization Algorithms.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation Proximal Policy Optimization Algorithms

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T15:32:18.867108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e194da6-b2ec-4aae-9368-fe8e69250f25 · outbound

This paper cites Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,.

DORA: Object Affordance-Guided Reinforcement Learning for Dexterous Robotic Manipulation Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:32:19.283989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.