Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.00557.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:47:51.945906Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T20:47:53.067967Z
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 a147fbc4-b2b4-4d37-bccc-a1719441284d · inbound
ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving cites this paper.
ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment
Reference 22
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T20:47:53.149522Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7a4cb6a6-a0e9-409c-8a5c-1cf83c18de0f · inbound
A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models cites this paper.
A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment
Reference 142
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:39:07.000752Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.