Pith. sign in

Paper Citation Record · LEDGER

Discrete and Continuous Action Representation for Practical RL in Video Games

As of 3 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1912.11077.

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

pith.paper-citation-record.v1
1912.11077 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T19:43:50.885847Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T09:16:06.702133Z

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 046f3757-423e-45a2-b0ea-db5b50abf7e9 · inbound

Hybrid TD3: Overestimation Bias Analysis and Stable Policy Optimization for Hybrid Action Space cites this paper.

Hybrid TD3: Overestimation Bias Analysis and Stable Policy Optimization for Hybrid Action Space Discrete and Continuous Action Representation for Practical RL in Video Games

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T19:43:50.885847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:43:50.885847Z digest=sha256:c944683861f3ccf852dbe7c6aa4983ffeeef8d8e4d59be9fbb5a0a77e7f7157f

Observation 90e230b2-c91b-4ab1-92be-609c330a9b76 · inbound

Emotion Entanglement and Bayesian Inference for Multi-Dimensional Emotion Understanding cites this paper.

Emotion Entanglement and Bayesian Inference for Multi-Dimensional Emotion Understanding Discrete and Continuous Action Representation for Practical RL in Video Games

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-13T14:51:03.626575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:51:03.626575Z digest=sha256:5fc0872c15bd077175c07a260054cb5e24478a1c7b76a9758b9050351654df5d

Observation 6f483c05-bcf4-40fd-978d-6fadf00d0758 · inbound

Dmsh: A Multi-Agent Reinforcement Learning Framework for All-Quad Mesh Generation cites this paper.

Dmsh: A Multi-Agent Reinforcement Learning Framework for All-Quad Mesh Generation Discrete and Continuous Action Representation for Practical RL in Video Games

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-03T06:37:42.896164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-27T12:36:48.949764Z digest=sha256:1dee406398a0edad58f8d6f74b00fe84f48c9b246da469866e5c0c2d2e4c3a8f

Observation 86517153-6b8f-4fdf-a48c-4a2855915a8a · inbound

Revisiting Action Factorization for Complex Action Spaces cites this paper.

Revisiting Action Factorization for Complex Action Spaces Discrete and Continuous Action Representation for Practical RL in Video Games

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-04T12:59:52.062991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-26T05:44:20.417806Z digest=sha256:895ae5463b99d67600933b2d8588183fd4e9627661364d4533a9db7494bfa9b5

Observation ca0e207e-3619-4b4c-94ac-29909f7bfe83 · inbound

Reward-Adaptive Iterative Discovery: A Case Study on Automated Game Testing for NHL26 cites this paper.

Reward-Adaptive Iterative Discovery: A Case Study on Automated Game Testing for NHL26 Discrete and Continuous Action Representation for Practical RL in Video Games

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-07-09T09:16:06.703424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-07-09T09:08:14.104220Z digest=sha256:8809fcd24eb2f77b2209faa6886143e34f790051218451736110ef4b5b544874