Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Quant GANs: Deep Generation of Financial Time Series
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1907.06673.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:56:22.156511Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T02:55:19.646342Z
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 1e720f74-8fe8-4c59-af66-fc087821d589 · inbound
Synthetic Data for Portfolios: A Throw of the Dice Will Never Abolish Chance cites this paper.
Synthetic Data for Portfolios: A Throw of the Dice Will Never Abolish Chance Quant GANs: Deep Generation of Financial Time Series
Reference 104
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:49:09.820255Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3090a195-ddca-4a5d-ba56-72afea74a9ba · 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 Quant GANs: Deep Generation of Financial Time Series
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T02:55:19.650124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c0be9a6f-7caa-410b-adec-00de310bca1f · inbound
FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching cites this paper.
FlowLOB: Efficient and Controllable Limit Order Book Generation with Flow Matching Quant GANs: Deep Generation of Financial Time Series
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:56:22.156511Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.