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Paper Citation Record · LEDGER

Practical Deep Reinforcement Learning Approach for Stock Trading

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1811.07522.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1811.07522 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:19:58.994784Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T19:28:21.583999Z

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 7a62ebd5-5285-4aba-b0ee-3d0e03e78c91 · inbound

Hierarchical Reinforced Trader (HRT): A Bi-Level Approach for Optimizing Stock Selection and Execution cites this paper.

Hierarchical Reinforced Trader (HRT): A Bi-Level Approach for Optimizing Stock Selection and Execution Practical Deep Reinforcement Learning Approach for Stock Trading

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-23T19:28:21.587242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-23T19:26:16.189842Z digest=sha256:d7c67eebd5711712c81668d34cc2016d8d64a8fe000b2062aa7e49f35a549751

Observation d64f5b4d-87e5-4ffa-8699-6006ceb17efc · 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 Practical Deep Reinforcement Learning Approach for Stock Trading

Reference 133

Resolution
unresolved
no resolver link, observed 2026-08-11T05:12:11.930469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:12:11.930469Z digest=sha256:c069ba193b224418fbd938bd8a90170acc78ac8a459218a6c0b35bded4b983fe

Observation 1e7dcd83-d564-4a9e-bfa1-cd75810c00e0 · inbound

Multimodal Financial Foundation Models (MFFMs): Progress, Prospects, and Challenges cites this paper.

Multimodal Financial Foundation Models (MFFMs): Progress, Prospects, and Challenges Practical Deep Reinforcement Learning Approach for Stock Trading

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-15T21:19:58.994784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:19:58.994784Z digest=sha256:5ce8e63ff4a33864a3a695f8d6b91b5eba0446762a0a3c9547dcbe9e34c2db96

Observation 643ee282-b345-4f38-bdf3-ad0c51e417dd · inbound

Directly Learning Stock Trading Strategies Through Profit Guided Loss Functions cites this paper.

Directly Learning Stock Trading Strategies Through Profit Guided Loss Functions Practical Deep Reinforcement Learning Approach for Stock Trading

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:12.063911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:17:12.063911Z digest=sha256:adc422ad93c4aee277dc2b4780a1cc43adb200bb0f251cf86187304c2e18ba07