Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.08617.
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 2026-08-07T11:21:40.801007Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T20:44:22.061425Z
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 0434a918-f900-4b85-946d-c03d54180b4b · inbound
RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models cites this paper.
RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:21:40.801007Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24c965c2-6fe3-4c7c-9e1a-5b57d646a341 · inbound
From Refusal to Recovery: A Control-Theoretic Approach to Generative AI Guardrails cites this paper.
From Refusal to Recovery: A Control-Theoretic Approach to Generative AI Guardrails RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation
Reference 84
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T20:44:22.063616Z
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 8bf759e3-0ec0-44f8-9e27-c28bf29740f9 · inbound
Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest cites this paper.
Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:26:02.231006Z
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.