Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
HRLAIF: Improvements in Helpfulness and Harmlessness in Open-domain Reinforcement Learning From AI Feedback
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.08309.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:10:44.105660Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T14:13:08.169060Z
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 ab78c2cd-dcc6-40c1-8bc3-4fd189fc9d57 · inbound
CHAI for LLMs: Improving Code-Mixed Translation in Large Language Models through Reinforcement Learning with AI Feedback cites this paper.
CHAI for LLMs: Improving Code-Mixed Translation in Large Language Models through Reinforcement Learning with AI Feedback HRLAIF: Improvements in Helpfulness and Harmlessness in Open-domain Reinforcement Learning From AI Feedback
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:10:44.105660Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f45cb67c-bbff-4a9d-87be-15cd93e3a52d · inbound
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems cites this paper.
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems HRLAIF: Improvements in Helpfulness and Harmlessness in Open-domain Reinforcement Learning From AI Feedback
Reference 122
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:51:52.624200Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00b2efd4-3941-4d6d-b055-22a0b3ef4fc7 · inbound
Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges cites this paper.
Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges HRLAIF: Improvements in Helpfulness and Harmlessness in Open-domain Reinforcement Learning From AI Feedback
Reference 277
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T14:13:08.172511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.