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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:22:57.223190Z

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 4269d9f1-b62e-46d1-bdca-f7fb7b3a5dd8 · inbound

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling cites this paper.

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T15:22:57.223190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:22:57.223190Z digest=sha256:bcd1497eb1b7ed11d6a3ff486592eb233d102e000896b1765a51cbb048125433

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:55:19.939952Z digest=sha256:9259dea84cce8f9180d2e205c956e7dd1abd3296c0d5fdb8114462beb21a8d3f