Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Triple Preference Optimization: Achieving Better Alignment using a Single Step Optimization
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.16681.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:48:26.951911Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T08:26:23.344254Z
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 3ac0a914-0bd1-41cb-95d7-f9d165c3ce1b · inbound
PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving cites this paper.
PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving Triple Preference Optimization: Achieving Better Alignment using a Single Step Optimization
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:48:26.951911Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab7a3ab9-94f4-49f8-b6a9-7db8d276e0bc · inbound
ThinkTuning: Instilling Cognitive Reflections without Distillation cites this paper.
ThinkTuning: Instilling Cognitive Reflections without Distillation Triple Preference Optimization: Achieving Better Alignment using a Single Step Optimization
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:05:05.792722Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3be10a95-fe9c-4d2a-a596-1b5b5e479f9c · inbound
Mid-Training with Self-Generated Data Improves Reinforcement Learning in Language Models cites this paper.
Mid-Training with Self-Generated Data Improves Reinforcement Learning in Language Models Triple Preference Optimization: Achieving Better Alignment using a Single Step Optimization
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:26:23.346238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.