Paper Citation Record · LEDGER

LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2311.02058.

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

pith.paper-citation-record.v1
2311.02058 v4

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 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:27:51.781597Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:21:26.193798Z

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 49d4d923-9ded-4e48-a779-ef7713dac564 · inbound

Efficient Sensorimotor Learning for Open-world Robot Manipulation cites this paper.

Efficient Sensorimotor Learning for Open-world Robot Manipulation LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery

Reference 141

Resolution: unresolved; no resolver link, observed 2026-08-15T23:27:51.781597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1aaca85-2405-4aba-b369-c9fb4944ccae · inbound

Scalable Strategies for Continual Learning with Replay cites this paper.

Scalable Strategies for Continual Learning with Replay LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:39.902351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54a61c61-6213-4c71-8ba3-fb37058ea135 · inbound

Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models cites this paper.

Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T00:14:15.758187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57c3d4da-f94d-434c-8eff-30f6f54c47fa · inbound

Atomic-Probe Governance for Skill Updates in Compositional Robot Policies cites this paper.

Atomic-Probe Governance for Skill Updates in Compositional Robot Policies LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:21:26.195548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8c4b199d-09ef-42f1-8a09-bc4c73405f64 · inbound

Atomic-Probe Governance for Skill Updates in Compositional Robot Policies cites this paper.

Atomic-Probe Governance for Skill Updates in Compositional Robot Policies LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:06:24.348172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bd9b4a1c-107e-4287-be9a-adff5f01359f · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery

Reference 248

Resolution: unresolved; no resolver link, observed 2026-08-04T19:45:35.281189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.