Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A deep learning method for solving stochastic optimal control problems driven by fully-coupled FBSDEs
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2204.05796.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T17:08:03.518361Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T09:44:45.999970Z
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 9bb2ae4f-55b4-4dad-aa69-a5e6d9099eb4 · inbound
Optimal Rebate Design: Incentives, Competition and Efficiency in Auction Markets cites this paper.
Optimal Rebate Design: Incentives, Competition and Efficiency in Auction Markets A deep learning method for solving stochastic optimal control problems driven by fully-coupled FBSDEs
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:08:03.518361Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28f2b1a9-da9d-4a75-8422-200c5d253f0c · inbound
Regulation or Competition:Major-Minor Optimal Liquidation across Dark and Lit Pools cites this paper.
Regulation or Competition:Major-Minor Optimal Liquidation across Dark and Lit Pools A deep learning method for solving stochastic optimal control problems driven by fully-coupled FBSDEs
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:39:19.428844Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f44b6e20-83fa-436b-9c2d-bfb73745b6fe · inbound
Stochastic Mean-Field LQ Stackelberg Differential Games with Random Coefficients: Theory and a Deep FBSDE Picard Solver cites this paper.
Stochastic Mean-Field LQ Stackelberg Differential Games with Random Coefficients: Theory and a Deep FBSDE Picard Solver A deep learning method for solving stochastic optimal control problems driven by fully-coupled FBSDEs
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T20:42:58.627110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b6061770-bc66-445c-af3c-fdef64d25636 · inbound
Stochastic Mean-Field LQ Stackelberg Differential Games with Random Coefficients: Theory and a Deep FBSDE Picard Solver cites this paper.
Stochastic Mean-Field LQ Stackelberg Differential Games with Random Coefficients: Theory and a Deep FBSDE Picard Solver A deep learning method for solving stochastic optimal control problems driven by fully-coupled FBSDEs
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T09:44:46.002582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.