Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.11433.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-01T05:50:19.208987Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T10:05:41.295960Z
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 3c9a0e90-8ebe-4924-b734-d47e76be8cb0 · inbound
AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading cites this paper.
AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T06:56:00.798608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 980dd7a0-2571-4329-ac9c-44154788859a · inbound
Moira: Language-driven Hierarchical Reinforcement Learning for Pair Trading cites this paper.
Moira: Language-driven Hierarchical Reinforcement Learning for Pair Trading FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:26:05.971437Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 85e8b6cb-de21-4ba8-8492-5aa5987657e6 · inbound
Hybrid LLM-based Intelligent Framework for Robot Task Scheduling cites this paper.
Hybrid LLM-based Intelligent Framework for Robot Task Scheduling FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:22:39.537822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation df6e1a88-c6b9-42f3-a6bc-c1f26d12bbba · inbound
The Alpha Illusion: Reported Alpha from LLM Trading Agents Should Not Be Treated as Deployment Evidence cites this paper.
The Alpha Illusion: Reported Alpha from LLM Trading Agents Should Not Be Treated as Deployment Evidence FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T19:22:44.839375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ca99d899-cc09-435d-8d17-1034be7bbf34 · inbound
CSTrader: A Testbed for Language-Grounded Trading in a Community-Driven Virtual Asset Market cites this paper.
CSTrader: A Testbed for Language-Grounded Trading in a Community-Driven Virtual Asset Market FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T10:05:41.297504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.