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Paper Citation Record · LEDGER

LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction

As of 10 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.

pith.paper-citation-record.v1
2406.10811 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:35:42.128652Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T10:05:41.315629Z

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 faa31bdf-206e-4068-82cd-05368f68ddf1 · inbound

Human-LLM Compound System for Scientific Ideation through Facet Recombination and Novelty Evaluation cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:58:26.615026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T20:58:01.255342Z digest=sha256:aa626b640ae88531116fb52ad3e981aa58d8ba8c1b8f675e02d9519b5fcd1938

Observation 626e5f7a-4b46-4e6f-9b4b-926a286a8a87 · inbound

Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:55:19.633593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-23T02:54:08.887874Z digest=sha256:e941d35a45f8c4be2fa41a47ece54dac609e96e2ba4f92dee135e7a7061725c9

Observation 0264a2a7-7a84-4f7a-a049-e2965dcf656e · inbound

LLM-Powered AI Agent Systems and Their Applications in Industry cites this paper.

LLM-Powered AI Agent Systems and Their Applications in Industry LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-22T14:06:38.029933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T14:05:54.535411Z digest=sha256:92592775d01bcfb7653370315483af16d797d9ab2d04983eebed1458ae0a1792

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 cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:42.128652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:42.128652Z digest=sha256:40d43ca71cf11a6868d8c64e970d7c1443e091815489bcd22d8119ae5a153ee3

Observation 5a0c8a72-629e-4cc6-93b9-456617377c53 · 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 LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:05:41.317467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-01T05:50:19.208987Z digest=sha256:d1e274a4eb2ce0b477b70530499d3aa53d266b923a612cdf74eb50b4231a722d