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Paper Citation Record · LEDGER

UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2111.11097.

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

pith.paper-citation-record.v1
2111.11097 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:38:35.279970Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T05:51:07.801785Z

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 cfa90fd5-bbc6-4a6f-ab0d-a081db8ea412 · inbound

Non-differentiable Reward Optimization for Diffusion-based Autonomous Motion Planning cites this paper.

Non-differentiable Reward Optimization for Diffusion-based Autonomous Motion Planning UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T16:38:35.279970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:38:35.279970Z digest=sha256:bc8623066657232b781bd676ececec4bbbeab599a988d64c2604bd5bbe40ac64

Observation 5e56f367-46e3-473b-98b3-7c293a572df7 · inbound

Cognitive Flexibility as a Latent Structural Operator for Bayesian State Estimation cites this paper.

Cognitive Flexibility as a Latent Structural Operator for Bayesian State Estimation UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:51:07.803448Z

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.

source=pdf_text observed=2026-05-10T17:55:19.939952Z digest=sha256:b2c78401f1e0c1e17d339217c7eaadd44fb501bf2e23089bffcc13b28ae88d75