Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Reward-rational (implicit) choice: A unifying formalism for reward learning
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2002.04833.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T18:15:15.593768Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T01:46:18.576711Z
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 6673824c-992b-4fab-bd7d-6a5e75e847cf · inbound
Learning to summarize from human feedback cites this paper.
Learning to summarize from human feedback Reward-rational (implicit) choice: A unifying formalism for reward learning
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T01:46:18.579394Z
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 460235c7-d02d-4c01-b567-90d8451b4c7d · inbound
Mapping out the Space of Human Feedback for Reinforcement Learning: A Conceptual Framework cites this paper.
Mapping out the Space of Human Feedback for Reinforcement Learning: A Conceptual Framework Reward-rational (implicit) choice: A unifying formalism for reward learning
Reference 80
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:15:15.593768Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 61f29625-6a8f-4974-87b8-5875edba4c1e · inbound
MAVRL: Learning Reward Functions from Multiple Feedback Types with Amortized Variational Inference cites this paper.
MAVRL: Learning Reward Functions from Multiple Feedback Types with Amortized Variational Inference Reward-rational (implicit) choice: A unifying formalism for reward learning
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T22:59:36.591876Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.