Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2107.12544.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:50:49.720568Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T02:42:59.276304Z
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 b3b789cd-2ae8-4eb4-aa58-d76518c8f078 · inbound
Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models cites this paper.
Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:50:49.720568Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0b3a69d-28e6-442b-9412-14f3d5f4bf85 · inbound
Assessing Adaptive World Models in Machines with Novel Games cites this paper.
Assessing Adaptive World Models in Machines with Novel Games Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:41:19.447936Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 728b4d0b-49f6-4498-b85b-4c5fa9968ce6 · inbound
Analogy making as amortised model construction cites this paper.
Analogy making as amortised model construction Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:12:51.970422Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a1e4a4f-6418-4c9b-a309-4621943050d2 · inbound
Generation and Evaluation in the Human Invention Process through the Lens of Game Design cites this paper.
Generation and Evaluation in the Human Invention Process through the Lens of Game Design Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:20:48.442377Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6bc7713-9f35-427e-9193-650cdeb66f0a · inbound
Reason to Play: Behavioral and Brain Alignment Between Frontier LRMs and Human Game Learners cites this paper.
Reason to Play: Behavioral and Brain Alignment Between Frontier LRMs and Human Game Learners Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T02:55:53.021268Z
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 401ea687-167d-4abf-9e94-c333763b8e92 · inbound
Learning POMDP World Models from Observations with Language-Model Priors cites this paper.
Learning POMDP World Models from Observations with Language-Model Priors Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning
Reference 30
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T19:57:52.961450Z
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 4a1659fa-c184-4f2a-b087-6bcd55a36000 · inbound
Brain alignment of reasoning and action representations from vision-language and action models during naturalistic gameplay cites this paper.
Brain alignment of reasoning and action representations from vision-language and action models during naturalistic gameplay Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T02:42:59.281149Z
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.