Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Model-based Reinforcement Learning for Predictions and Control for Limit Order Books
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1910.03743.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T05:12:11.736317Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T07:49:39.439374Z
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 6a863c6e-cc52-490f-a898-f2f7784cee20 · inbound
Trading Devil RL: Backdoor attack via Stock market, Bayesian Optimization and Reinforcement Learning cites this paper.
Trading Devil RL: Backdoor attack via Stock market, Bayesian Optimization and Reinforcement Learning Model-based Reinforcement Learning for Predictions and Control for Limit Order Books
Reference 93
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:12:11.736317Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8812cc0-2c9f-4fe2-8362-ee152a25efbe · inbound
The Invisible Handshake: Persistent Overpricing by Adaptive Market Agents cites this paper.
The Invisible Handshake: Persistent Overpricing by Adaptive Market Agents Model-based Reinforcement Learning for Predictions and Control for Limit Order Books
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T08:11:06.809400Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c4601b30-5ada-4a56-bc9b-00d7b5c17c2d · inbound
DeepSeekMath Meets Order Book: Group-Aware Policy Optimization for High-Frequency Directional Trading cites this paper.
DeepSeekMath Meets Order Book: Group-Aware Policy Optimization for High-Frequency Directional Trading Model-based Reinforcement Learning for Predictions and Control for Limit Order Books
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T22:44:01.793370Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2c1da3fd-fc9f-4da1-8ef2-0089c846fbb5 · inbound
KineticSim: A Lightweight, High-Performance Execution Engine for Real-Time Market Simulators cites this paper.
KineticSim: A Lightweight, High-Performance Execution Engine for Real-Time Market Simulators Model-based Reinforcement Learning for Predictions and Control for Limit Order Books
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T07:49:39.441042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 1f9cea32-af20-479a-96df-4ec14c83ee48 · inbound
KineticSim: A Lightweight, High-Performance Execution Engine for Real-Time Market Simulators cites this paper.
KineticSim: A Lightweight, High-Performance Execution Engine for Real-Time Market Simulators Model-based Reinforcement Learning for Predictions and Control for Limit Order Books
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T10:44:37.378920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.