Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Fellowship of the LLMs: Multi-Model Workflows for Synthetic Preference Optimization Dataset Generation
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.08688.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:25:19.073588Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T04:26:38.014801Z
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 8c991d8e-4d47-487b-a3ef-53a7dde8e129 · inbound
ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning cites this paper.
ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning The Fellowship of the LLMs: Multi-Model Workflows for Synthetic Preference Optimization Dataset Generation
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:13:41.372000Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation beaa721e-40f3-4c38-8774-9de5b937a2a3 · inbound
MAG-V: A Multi-Agent Framework for Synthetic Data Generation and Verification cites this paper.
MAG-V: A Multi-Agent Framework for Synthetic Data Generation and Verification The Fellowship of the LLMs: Multi-Model Workflows for Synthetic Preference Optimization Dataset Generation
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:20:15.801221Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9879c30-9ce1-418c-b32c-f6567150d2cf · inbound
LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.
LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods The Fellowship of the LLMs: Multi-Model Workflows for Synthetic Preference Optimization Dataset Generation
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:08:34.527119Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3addd43c-eb87-4832-b86b-10a29e60f52e · inbound
TalkPlayData 2: An Agentic Synthetic Data Pipeline for Multimodal Conversational Music Recommendation cites this paper.
TalkPlayData 2: An Agentic Synthetic Data Pipeline for Multimodal Conversational Music Recommendation The Fellowship of the LLMs: Multi-Model Workflows for Synthetic Preference Optimization Dataset Generation
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:25:19.073588Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3c613e0-a807-4982-8aaa-ef24a2d403c5 · inbound
When Planning Fails Despite Correct Execution: On Epistemic Calibration for LLM-Based Multi-Agent Systems cites this paper.
When Planning Fails Despite Correct Execution: On Epistemic Calibration for LLM-Based Multi-Agent Systems The Fellowship of the LLMs: Multi-Model Workflows for Synthetic Preference Optimization Dataset Generation
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T04:26:38.018116Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.