Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.15313.
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 2026-08-07T05:21:58.799911Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T05:21:58.879423Z
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 f8037334-eadc-4a1f-8d46-ec3f0acf2601 · inbound
Reinforcement Learning from Human Feedback with High-Confidence Safety Constraints cites this paper.
Reinforcement Learning from Human Feedback with High-Confidence Safety Constraints Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models
Reference 54
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T05:21:58.886951Z
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 9b5adc77-6d28-43f2-9e6d-1e8fccb9b27a · inbound
Safe Inference-Time Alignment via Lagrangian Reward Augmentation cites this paper.
Safe Inference-Time Alignment via Lagrangian Reward Augmentation Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models
Reference 108
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T07:05:47.150308Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54debcdb-9c32-4bc0-b0c1-269c2620e896 · inbound
Every Sample Counts: Supervised Fine-Tuning of Language Models with Pointwise Constraints cites this paper.
Every Sample Counts: Supervised Fine-Tuning of Language Models with Pointwise Constraints Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models
Reference 84
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T05:26:06.829382Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.