Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Robust agents learn causal world models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2402.10877.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T19:33:43.791925Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T06:44:18.998459Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
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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 73f038f7-40ad-4e13-a6d7-ef8aaf7caba1 · inbound
Towards Empowerment Gain through Causal Structure Learning in Model-Based RL cites this paper.
Towards Empowerment Gain through Causal Structure Learning in Model-Based RL Robust agents learn causal world models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:33:22.084760Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f82ef5f4-1176-4a30-8aeb-6bd587fb31e7 · inbound
Causal Information Prioritization for Efficient Reinforcement Learning cites this paper.
Causal Information Prioritization for Efficient Reinforcement Learning Robust agents learn causal world models
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:33:43.791925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d97dfa0-8ecb-42d8-ac3d-f806e2f31504 · inbound
The Limits of Predicting Agents from Behaviour cites this paper.
The Limits of Predicting Agents from Behaviour Robust agents learn causal world models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:25:27.272210Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f47078de-afc2-4e70-b067-a0470baf38a9 · inbound
Linear Spatial World Models Emerge in Large Language Models cites this paper.
Linear Spatial World Models Emerge in Large Language Models Robust agents learn causal world models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:17:24.319460Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05c50f3a-479a-4bf1-8854-926c8b6f34b1 · inbound
Enhancing LLM Agent Safety via Causal Influence Prompting cites this paper.
Enhancing LLM Agent Safety via Causal Influence Prompting Robust agents learn causal world models
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:06:54.862967Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99e1efbb-a332-46d2-9e79-c841c09058f0 · inbound
The Generalist Brain Module: Module Repetition in Neural Networks in Light of the Minicolumn Hypothesis cites this paper.
The Generalist Brain Module: Module Repetition in Neural Networks in Light of the Minicolumn Hypothesis Robust agents learn causal world models
Reference 81
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:16:47.904845Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 584c8a66-b773-4203-a89d-1a8991ffc0be · inbound
Calculating Mutual Information between a Reward Maximizer and its Environment cites this paper.
Calculating Mutual Information between a Reward Maximizer and its Environment Robust agents learn causal world models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T23:49:12.592843Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f79764d5-cb6b-4ee2-a25d-5ab956e0ae19 · inbound
The Design and Composition of Structural Causal Decision Processes cites this paper.
The Design and Composition of Structural Causal Decision Processes Robust agents learn causal world models
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:46:13.439736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ee11e4c8-1dd7-40dc-b7c7-a5ece5b66480 · inbound
You Are in Control of Your State: Why Human Outcomes Are Controllable Through Causal State Intervention cites this paper.
You Are in Control of Your State: Why Human Outcomes Are Controllable Through Causal State Intervention Robust agents learn causal world models
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T17:13:44.754267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4d3c5438-ebc4-426d-a23a-d0327e59ab01 · inbound
The CRISTAL Method: Neurosymbolic analysis from AI-synthesized world models cites this paper.
The CRISTAL Method: Neurosymbolic analysis from AI-synthesized world models Robust agents learn causal world models
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T06:44:18.999866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.