Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Scalable Ensembling For Mitigating Reward Overoptimisation
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.01013.
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 2026-08-07T10:31:58.359316Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T04:30:57.163655Z
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 814d1cc0-7757-44a5-8247-f66e06bdb408 · inbound
RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation cites this paper.
RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Scalable Ensembling For Mitigating Reward Overoptimisation
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:31:58.359316Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 171b2e5f-38fb-4164-ae47-cb09d54e0173 · inbound
Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities cites this paper.
Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities Scalable Ensembling For Mitigating Reward Overoptimisation
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:34:24.932860Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5dc3a6bc-db45-493c-bf91-0b1bac56b1e0 · inbound
Theoretical Limits of Language Model Alignment cites this paper.
Theoretical Limits of Language Model Alignment Scalable Ensembling For Mitigating Reward Overoptimisation
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T04:30:57.181994Z
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.