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Paper Citation Record · LEDGER

HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2109.05490.

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

pith.paper-citation-record.v1
2109.05490 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:32:51.484896Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:59:52.054939Z

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 4eba7925-a8d6-498a-bb0c-2245d0a24203 · inbound

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning cites this paper.

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T00:32:51.484896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:32:51.484896Z digest=sha256:6c64a2174130e304d22ec1f0a06e4c9704406f050d79cac50ae54c1c8e2c8afc

Observation 8f986de4-dc85-40d5-9996-1f0565e7570b · inbound

Policy Optimization in Hybrid Discrete-Continuous Action Spaces via Mixed Gradients cites this paper.

Policy Optimization in Hybrid Discrete-Continuous Action Spaces via Mixed Gradients HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation

Reference 105

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:13:30.146015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-15T02:12:58.603012Z digest=sha256:7f9c791db1be6f6a6b50914444de70ebdfe7312675aec9828ccdc58368c47c47

Observation bcc89f99-519c-4a1d-8e49-2241d50791de · inbound

Revisiting Action Factorization for Complex Action Spaces cites this paper.

Revisiting Action Factorization for Complex Action Spaces HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-04T12:59:52.056225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T05:44:20.417806Z digest=sha256:fa38ba8994d42dfd6e174f9fd28c1be567ec380f8dfeef03321fbe7d1c762e01