Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.13011.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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 2026-08-07T04:08:23.227133Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T09:07:47.817100Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 1134de0f-dba1-486f-b487-568bd8007fec · inbound
Configurable Preference Tuning with Rubric-Guided Synthetic Data Compositional preference models for aligning LMs
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df1b4e7f-0c99-4c21-893d-3e8b4da6711d · inbound
PersLitEval: Fine-grained Benchmark and Evaluation of LLMs on Persian Literature Questions Compositional preference models for aligning LMs
Reference 6
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 64a0d39c-ea5f-4702-95e7-76ade7ff1cb3 · inbound
The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes Compositional preference models for aligning LMs
Reference 75
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 05681116-1857-45c2-ad97-273372dc31a9 · inbound
Anatomy of Post-Training: Using Interpretability to Characterize Data and Shape the Learning Signal Compositional preference models for aligning LMs
Reference 36
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.