Paper Citation Record · LEDGER

A Survey of Deep Reinforcement Learning in Video Games

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1912.10944.

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

pith.paper-citation-record.v1
1912.10944 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:33.005100Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T02:59:26.203924Z

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 f8ab642d-44f0-4541-9831-125b6c82a464 · inbound

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting cites this paper.

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting A Survey of Deep Reinforcement Learning in Video Games

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:33.005100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 418233a4-e818-4275-857a-7746f2530211 · inbound

A Comprehensive Review of Multi-Agent Reinforcement Learning in Video Games cites this paper.

A Comprehensive Review of Multi-Agent Reinforcement Learning in Video Games A Survey of Deep Reinforcement Learning in Video Games

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-05T10:51:55.714335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed67a4ad-ad82-46d7-a939-51f69d2f3b13 · inbound

Enhancing Reinforcement Learning in 3D Environments through Semantic Segmentation: A Case Study in ViZDoom cites this paper.

Enhancing Reinforcement Learning in 3D Environments through Semantic Segmentation: A Case Study in ViZDoom A Survey of Deep Reinforcement Learning in Video Games

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-03T22:43:31.710556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fff135a3-cf34-430b-afae-58726948b4ca · inbound

GraphAllocBench: A Flexible Benchmark for Preference-Conditioned Multi-Objective Policy Learning cites this paper.

GraphAllocBench: A Flexible Benchmark for Preference-Conditioned Multi-Objective Policy Learning A Survey of Deep Reinforcement Learning in Video Games

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-03T07:16:24.418148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30dec2bd-0589-445d-bb0e-6c9f66fe3df6 · inbound

OnDeFog: Online Decision Transformer under Frame Dropping cites this paper.

OnDeFog: Online Decision Transformer under Frame Dropping A Survey of Deep Reinforcement Learning in Video Games

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-04T02:59:26.205864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation db033671-62b5-4c3d-be80-cf3b1f23071c · inbound

Physics-enhanced reinforcement learning for real-time optimal control of dynamical systems cites this paper.

Physics-enhanced reinforcement learning for real-time optimal control of dynamical systems A Survey of Deep Reinforcement Learning in Video Games

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-01T21:11:51.125003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff447c96-1bec-4f43-8bd1-04920f4e0ca6 · inbound

Counterfactual Shapley Credit Assignment cites this paper.

Counterfactual Shapley Credit Assignment A Survey of Deep Reinforcement Learning in Video Games

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T19:27:30.542646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.