Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2407.03051.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T23:03:44.618092Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T23:03:45.080493Z
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 1cb90dd1-e410-45f2-af32-a0ebcc7e9b92 · inbound
RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models cites this paper.
RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T23:03:45.089611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.