Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.19133.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T11:25:14.759366Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T18:55:58.590568Z
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 e061115e-7682-4609-af9e-a0d808278e08 · inbound
HREF: Human Response-Guided Evaluation of Instruction Following in Language Models cites this paper.
HREF: Human Response-Guided Evaluation of Instruction Following in Language Models Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:25:14.759366Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a47bfd00-65e2-47a2-840c-31ccc875dd04 · inbound
Understanding the Logic of Direct Preference Alignment through Logic cites this paper.
Understanding the Logic of Direct Preference Alignment through Logic Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:24:20.987102Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef52ddb6-517b-4feb-a90b-cbed374f81de · inbound
Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance cites this paper.
Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback
Reference 67
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-09T15:05:24.348981Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a7ff6ea-0c4b-45ae-8ef1-bcd6b10d81e1 · inbound
PEBS: Per-rater Empirical-Bayes Shrinkage for RLHF Reward-Model Calibration cites this paper.
PEBS: Per-rater Empirical-Bayes Shrinkage for RLHF Reward-Model Calibration Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T18:55:58.591972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.