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Paper Citation Record · LEDGER

Maximum Entropy Reinforcement Learning with Mixture Policies

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2103.10176.

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

pith.paper-citation-record.v1
2103.10176 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T04:33:08.990277Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:11:22.888729Z

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 b32971d6-eae0-44ce-a01b-38de8aa42cb1 · inbound

Revisiting Mixture Policies in Entropy-Regularized Actor-Critic cites this paper.

Revisiting Mixture Policies in Entropy-Regularized Actor-Critic Maximum Entropy Reinforcement Learning with Mixture Policies

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:11:22.891727Z

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=2026-05-12T04:33:08.990277Z digest=sha256:e3eb530806303329af4a7f76c20c8cf05d8a089b042d86d141d65939ca3b484e