Paper Citation Record · LEDGER

Keypoint Abstraction using Large Models for Object-Relative Imitation Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.23254.

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

pith.paper-citation-record.v1
2410.23254 v1

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 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:02:02.441073Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T12:18:16.703736Z

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 38a74271-8fa9-47a3-96a3-284f4c9ab682 · inbound

Bilevel Learning for Bilevel Planning cites this paper.

Bilevel Learning for Bilevel Planning Keypoint Abstraction using Large Models for Object-Relative Imitation Learning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-08T00:02:02.441073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f853c00-cab7-49da-9555-d77a3ff80f97 · inbound

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos cites this paper.

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos Keypoint Abstraction using Large Models for Object-Relative Imitation Learning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T00:25:28.240936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2d3e0cf-a5fe-4d84-b9ec-4f28326a11e1 · inbound

Knowledge-Driven Imitation Learning: Enabling Generalization Across Diverse Conditions cites this paper.

Knowledge-Driven Imitation Learning: Enabling Generalization Across Diverse Conditions Keypoint Abstraction using Large Models for Object-Relative Imitation Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T22:40:08.942002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0742abe-62c4-480e-b1da-c1300c4156ac · inbound

Hierarchical Vision-Language Planning for Multi-Step Humanoid Manipulation cites this paper.

Hierarchical Vision-Language Planning for Multi-Step Humanoid Manipulation Keypoint Abstraction using Large Models for Object-Relative Imitation Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:53.126948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82839df8-2799-481b-87fb-f3e4123d2963 · inbound

Robotic Manipulation Framework Based on Semantic Keypoints for Packing Shoes of Different Sizes, Shapes, and Softness cites this paper.

Robotic Manipulation Framework Based on Semantic Keypoints for Packing Shoes of Different Sizes, Shapes, and Softness Keypoint Abstraction using Large Models for Object-Relative Imitation Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T04:36:20.779251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f8549e6-a1c6-48a8-b396-e9bea990522b · inbound

From a Single Demonstration to a General Policy for Contact-Rich Manipulation cites this paper.

From a Single Demonstration to a General Policy for Contact-Rich Manipulation Keypoint Abstraction using Large Models for Object-Relative Imitation Learning

Reference 117

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:18:16.705396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.