Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TradExpert: Revolutionizing Trading with Mixture of Expert LLMs
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.00782.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:36:13.001889Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T18:04:48.180493Z
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 98872eba-e824-427e-b2cc-e741463ed4f9 · inbound
LLM-Based Routing in Mixture of Experts: A Novel Framework for Trading cites this paper.
LLM-Based Routing in Mixture of Experts: A Novel Framework for Trading TradExpert: Revolutionizing Trading with Mixture of Expert LLMs
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T19:51:47.131288Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6eba4287-4a1d-443e-8001-aa854bd489fe · inbound
FinRL-DeepSeek: LLM-Infused Risk-Sensitive Reinforcement Learning for Trading Agents cites this paper.
FinRL-DeepSeek: LLM-Infused Risk-Sensitive Reinforcement Learning for Trading Agents TradExpert: Revolutionizing Trading with Mixture of Expert LLMs
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T12:59:23.326033Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37d5be87-c19a-4ee6-8045-b14181e90bca · inbound
To Trade or Not to Trade: An Agentic Approach to Estimating Market Risk Improves Trading Decisions cites this paper.
To Trade or Not to Trade: An Agentic Approach to Estimating Market Risk Improves Trading Decisions TradExpert: Revolutionizing Trading with Mixture of Expert LLMs
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:22:15.821466Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ddc5f00-3c93-4a39-bdc3-aef46e537839 · inbound
From Bias to Behavior: Learning Bull-Bear Market Dynamics with Contrastive Modeling cites this paper.
From Bias to Behavior: Learning Bull-Bear Market Dynamics with Contrastive Modeling TradExpert: Revolutionizing Trading with Mixture of Expert LLMs
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:04:48.290442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5e8883b4-1fd1-45a6-9e28-97630df03902 · inbound
TradingMoE: Routing the Right Experts in Evolving Markets cites this paper.
TradingMoE: Routing the Right Experts in Evolving Markets TradExpert: Revolutionizing Trading with Mixture of Expert LLMs
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:36:13.001889Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.