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 5 inbound Pith citation observations for arXiv:2406.10811.
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 2026-08-06T14:35:42.128652Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T10:05:41.315629Z
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 faa31bdf-206e-4068-82cd-05368f68ddf1 · inbound
Human-LLM Compound System for Scientific Ideation through Facet Recombination and Novelty Evaluation LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction
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 626e5f7a-4b46-4e6f-9b4b-926a286a8a87 · inbound
Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction
Reference 31
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 0264a2a7-7a84-4f7a-a049-e2965dcf656e · inbound
LLM-Powered AI Agent Systems and Their Applications in Industry LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction
Reference 21
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 1a7fd10a-9bed-41eb-9a6e-021415d3855b · inbound
Forecasting Commodity Price Shocks Using Temporal and Semantic Fusion of Prices Signals and Agentic Generative AI Extracted Economic News LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a0c8a72-629e-4cc6-93b9-456617377c53 · inbound
CSTrader: A Testbed for Language-Grounded Trading in a Community-Driven Virtual Asset Market LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction
Reference 8
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.