Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Perfect Blend: Redefining RLHF with Mixture of Judges
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.20370.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T12:27:27.664545Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T12:26:31.581809Z
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 e0f7f0db-581a-470f-b3a7-d376c1862577 · inbound
LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.
LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods The Perfect Blend: Redefining RLHF with Mixture of Judges
Reference 266
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:08:35.786805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation baadd476-aa13-4853-a946-7bf01cdf7f50 · inbound
Improving Large Vision and Language Models by Learning from a Panel of Peers cites this paper.
Improving Large Vision and Language Models by Learning from a Panel of Peers The Perfect Blend: Redefining RLHF with Mixture of Judges
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:27:27.664545Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0f80efe-77d1-4ad1-a195-0bc56ddfee7f · inbound
Debate2Create: Robot Co-design via Multi-Agent LLM Debate cites this paper.
Debate2Create: Robot Co-design via Multi-Agent LLM Debate The Perfect Blend: Redefining RLHF with Mixture of Judges
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:27:04.004624Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b2ef0f4-bce6-4a99-9403-4dad04cc9755 · inbound
Token-Level LLM Collaboration via FusionRoute cites this paper.
Token-Level LLM Collaboration via FusionRoute The Perfect Blend: Redefining RLHF with Mixture of Judges
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T12:26:31.586299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0daa22a3-e4fe-4bc8-8bd5-3fd64f227851 · inbound
DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation cites this paper.
DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation The Perfect Blend: Redefining RLHF with Mixture of Judges
Reference 204
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T08:05:17.460513Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.