Paper Citation Record · LEDGER

MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2212.05698.

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

pith.paper-citation-record.v1
2212.05698 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:45:06.731194Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:29:15.673203Z

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 b74547a7-25b3-4a4a-8b99-a728422674f7 · inbound

EXPO: Stable Reinforcement Learning with Expressive Policies cites this paper.

EXPO: Stable Reinforcement Learning with Expressive Policies MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-19T05:12:05.222370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6d71fe10-d219-475a-8c8d-7ebb459bed94 · inbound

RISE: Self-Improving Robot Policy with Compositional World Model cites this paper.

RISE: Self-Improving Robot Policy with Compositional World Model MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T02:30:32.094767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bc04672b-726c-4b45-afaa-360962e506b2 · inbound

Generative-Model Predictive Planning for Navigation in Partially Observable Environments cites this paper.

Generative-Model Predictive Planning for Navigation in Partially Observable Environments MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:29:15.684767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fe6bc7aa-c9f0-41e7-827e-24de8306df4c · inbound

Reinforcement Learning: From Algorithms To Foundation Models cites this paper.

Reinforcement Learning: From Algorithms To Foundation Models MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations

Reference 108

Resolution: unresolved; no resolver link, observed 2026-08-01T17:45:06.731194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.