Paper Citation Record · LEDGER

SafeDreamer: Safe Reinforcement Learning with World Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2307.07176.

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

pith.paper-citation-record.v1
2307.07176 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:20:39.075611Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:39:46.342700Z

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 fe426637-1127-4f95-83d8-22ce86d5bfe4 · inbound

The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control cites this paper.

The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control SafeDreamer: Safe Reinforcement Learning with World Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T22:20:39.075611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e576be2f-df30-48da-a4f2-c6ef8a46f042 · inbound

A Dynamic Safety Shield for Safe and Efficient Reinforcement Learning of Navigation Tasks cites this paper.

A Dynamic Safety Shield for Safe and Efficient Reinforcement Learning of Navigation Tasks SafeDreamer: Safe Reinforcement Learning with World Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T21:46:47.751481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 294ead49-44c3-4c34-bcf5-4c6b5ffd7b7a · inbound

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges cites this paper.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges SafeDreamer: Safe Reinforcement Learning with World Models

Reference 110

Resolution: unresolved; no resolver link, observed 2026-08-05T21:02:04.495528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 047c8e9d-7af6-49b8-9f22-cdf7c3b46b34 · inbound

Latent Chain-of-Thought World Modeling for End-to-End Driving cites this paper.

Latent Chain-of-Thought World Modeling for End-to-End Driving SafeDreamer: Safe Reinforcement Learning with World Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:18:39.868019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7d629319-7770-4813-847e-9134920ff131 · inbound

Safety, Security, and Cognitive Risks in World Models cites this paper.

Safety, Security, and Cognitive Risks in World Models SafeDreamer: Safe Reinforcement Learning with World Models

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:38:22.229588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 415a9774-2dd5-460a-a03b-077bc69673d2 · inbound

Human Cognition in Machines: A Unified Perspective of World Models cites this paper.

Human Cognition in Machines: A Unified Perspective of World Models SafeDreamer: Safe Reinforcement Learning with World Models

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:12:26.089047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 99ead070-5d40-4f7c-9546-9259b3a6d083 · inbound

SHAPO: Sharpness-Aware Policy Optimization for Safe Exploration cites this paper.

SHAPO: Sharpness-Aware Policy Optimization for Safe Exploration SafeDreamer: Safe Reinforcement Learning with World Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:57:29.843808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ac1becde-9cad-40ef-a34e-b536ed95c49b · inbound

Safe and Generalizable Hierarchical Multi-Agent RL via Constraint Manifold Control cites this paper.

Safe and Generalizable Hierarchical Multi-Agent RL via Constraint Manifold Control SafeDreamer: Safe Reinforcement Learning with World Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:39:46.344610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.