Paper Citation Record · LEDGER

Learning from 10 Demos: Generalisable and Sample-Efficient Policy Learning with Oriented Affordance Frames

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.12124.

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

pith.paper-citation-record.v1
2410.12124 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T12:04:51.557687Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T17:23:45.208452Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fc6a0c98-a13e-4309-bc81-253727392d12 · inbound

VoxAfford: Multi-Scale Voxel-Token Fusion for Open-Vocabulary 3D Affordance Detection cites this paper.

VoxAfford: Multi-Scale Voxel-Token Fusion for Open-Vocabulary 3D Affordance Detection Learning from 10 Demos: Generalisable and Sample-Efficient Policy Learning with Oriented Affordance Frames

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:41:12.407490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9f478216-4223-4a9d-a180-b49e0cfbf81f · inbound

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment cites this paper.

AffordVLA: Injecting Affordance Representations into Vision-Language-Action Models via Implicit Feature Alignment Learning from 10 Demos: Generalisable and Sample-Efficient Policy Learning with Oriented Affordance Frames

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:53:17.677492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4829bfcd-172e-485e-80e2-a4ad48bd6a57 · inbound

Jointly Learning Predicates and Actions Enables Zero-Shot Skill Composition cites this paper.

Jointly Learning Predicates and Actions Enables Zero-Shot Skill Composition Learning from 10 Demos: Generalisable and Sample-Efficient Policy Learning with Oriented Affordance Frames

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:13:58.577108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5a28f95d-4487-4abc-8bf8-7fa584a0611a · inbound

On the Generalization Capabilities, Design Choices and Limitations of Keypoint Imitation Learning cites this paper.

On the Generalization Capabilities, Design Choices and Limitations of Keypoint Imitation Learning Learning from 10 Demos: Generalisable and Sample-Efficient Policy Learning with Oriented Affordance Frames

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:23:45.210595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 80a852d9-5cce-4c23-89e7-ff5c18a830e8 · inbound

Robust 6-DoF Object Pose Tracking with Built-In Recovery under Occlusions and Rapid Object Motions cites this paper.

Robust 6-DoF Object Pose Tracking with Built-In Recovery under Occlusions and Rapid Object Motions Learning from 10 Demos: Generalisable and Sample-Efficient Policy Learning with Oriented Affordance Frames

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-30T21:32:57.250050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad5687f4-ec03-4ca9-b138-6ea34f46a858 · inbound

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras cites this paper.

Filling the Pareto-Optimal Front for Affordance Segmentation on Embedded Devices Using RGB-D Cameras Learning from 10 Demos: Generalisable and Sample-Efficient Policy Learning with Oriented Affordance Frames

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-31T12:04:51.557687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.