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Paper Citation Record · LEDGER

MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:35:14.911471Z

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 514ac043-0cb1-4d00-82f2-01fca53a4001 · inbound

AdaWM: Adaptive World Model based Planning for Autonomous Driving cites this paper.

AdaWM: Adaptive World Model based Planning for Autonomous Driving MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-10T16:35:14.911471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:35:14.911471Z digest=sha256:9f95c3aa13d949a7e1ea7149c13edae0fc9d2907ab88660aaab8babb3411b093

Observation 88e13b0c-c32f-4da1-9331-d149b31a9721 · inbound

Reinforcement Learning via Implicit Imitation Guidance cites this paper.

Reinforcement Learning via Implicit Imitation Guidance MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T05:37:46.328115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:37:46.328115Z digest=sha256:092532a3f00a360fe083c736c9e9f0953ee8d92bcfec28a42af1ce051a159aa6

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T05:09:02.111308Z digest=sha256:512cc8dcf0241186b101f5de00b01aba975696edf3bef80e16b7f2faa21cae45

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T02:28:37.997148Z digest=sha256:322c3391423ade116a1689b7167eb88f48049c92ae80e90bc5ef7594b7b28efc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T21:13:07.538574Z digest=sha256:5d92e9a38dd5bc3bee1e37e208c5b85b2fdfa02ac60477acccd529d2f46a8d61

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.

source=arxiv_source observed=2026-08-01T17:45:06.731194Z digest=sha256:e060c04f58cd12e7727ecc9b288affb804a59cc32f56cf52b4db2e80dc0c3b4a