Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2002.04523.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:28:44.869965Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T10:34:36.468758Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation e832b5b3-2826-4730-99f8-90621918d39e · inbound
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning Objective Mismatch in Model-based Reinforcement Learning
Reference 2022
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca2da1fb-b1eb-40b7-8637-eaca30cb2d68 · inbound
SimuDICE: Offline Policy Optimization Through World Model Updates and DICE Estimation Objective Mismatch in Model-based Reinforcement Learning
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06fb74af-b16b-4b69-bd5e-da71dc261ac6 · inbound
How Should World Models Be Evaluated for Embodied Decision-Making? A Decision-Making-Centric Position Objective Mismatch in Model-based Reinforcement Learning
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8dfa4569-5f99-4803-818f-ae431aab7089 · inbound
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Objective Mismatch in Model-based Reinforcement Learning
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.