Paper Citation Record · LEDGER

When to Trust Your Model: Model-Based Policy Optimization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1906.08253.

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

pith.paper-citation-record.v1
1906.08253 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:13:59.863471Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:39:51.483966Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 52639965-2c9f-4507-b5a9-096583ae1d7b · inbound

Model-free Reinforcement Learning for Model-based Control: Towards Safe, Interpretable and Sample-efficient Agents cites this paper.

Model-free Reinforcement Learning for Model-based Control: Towards Safe, Interpretable and Sample-efficient Agents When to Trust Your Model: Model-Based Policy Optimization

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-06T16:28:54.925681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ff6c5c0-e401-4c1e-82c9-133f59468e1b · inbound

A Comprehensive Review of Reinforcement Learning for Autonomous Driving in the CARLA Simulator cites this paper.

A Comprehensive Review of Reinforcement Learning for Autonomous Driving in the CARLA Simulator When to Trust Your Model: Model-Based Policy Optimization

Reference 109

Resolution: unresolved; no resolver link, observed 2026-08-04T21:03:01.070961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f6758b7-54f5-4747-a5af-98b387353d06 · inbound

Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security cites this paper.

Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security When to Trust Your Model: Model-Based Policy Optimization

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:45:01.677081Z

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.

Observation a0b9db0c-f15d-4138-a50d-776099facd09 · inbound

MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models cites this paper.

MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models When to Trust Your Model: Model-Based Policy Optimization

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:53:13.822338Z

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.

Observation 11b9588f-f62c-43e7-add8-1948e63c5169 · inbound

Can Predicted Dynamics Exist in the Physical World? cites this paper.

Can Predicted Dynamics Exist in the Physical World? When to Trust Your Model: Model-Based Policy Optimization

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:04:39.939876Z

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.

Observation b0c137b5-6ddf-46a7-8843-f32b5dea8450 · inbound

CLAW: Learning Continuous Latent Action World Models via Adversarial Latent Regularization cites this paper.

CLAW: Learning Continuous Latent Action World Models via Adversarial Latent Regularization When to Trust Your Model: Model-Based Policy Optimization

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:36:29.589415Z

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.

Observation b027863c-f606-4eb3-93ec-6870a1bf5c94 · inbound

How Should World Models Be Evaluated for Embodied Decision-Making? A Decision-Making-Centric Position cites this paper.

How Should World Models Be Evaluated for Embodied Decision-Making? A Decision-Making-Centric Position When to Trust Your Model: Model-Based Policy Optimization

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-06-30T10:34:36.453105Z

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.

Observation 17fae84d-dbec-4f92-8b18-229de618fb2b · inbound

Hallucination in World Models is Predictable and Preventable cites this paper.

Hallucination in World Models is Predictable and Preventable When to Trust Your Model: Model-Based Policy Optimization

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:39:51.485701Z

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.

Observation c482f795-6a45-4a5e-a87c-793b915f2edb · inbound

When Is a Learned Command Adapter Worth It? Closed-Loop Identification and Counterfactual Auditing of Frozen Locomotion Policies cites this paper.

When Is a Learned Command Adapter Worth It? Closed-Loop Identification and Counterfactual Auditing of Frozen Locomotion Policies When to Trust Your Model: Model-Based Policy Optimization

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-01T06:32:51.649648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3948dba-5a15-4a2f-a51d-350843394ac1 · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills When to Trust Your Model: Model-Based Policy Optimization

Reference 108

Resolution: unresolved; no resolver link, observed 2026-08-04T19:45:34.786658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b19ba749-5d32-4ce3-9e9d-fe3272aec4e7 · inbound

Quo Vadis, World Modeling? cites this paper.

Quo Vadis, World Modeling? When to Trust Your Model: Model-Based Policy Optimization

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T00:13:59.863471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.