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Paper Citation Record · LEDGER

A Survey on Interpretable Reinforcement Learning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2112.13112.

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

pith.paper-citation-record.v1
2112.13112 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:36:33.646549Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

15
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 503dd278-7361-4b56-8667-d90b26627b8f · inbound

A Survey of Reinforcement Learning for Optimization in Automation cites this paper.

A Survey of Reinforcement Learning for Optimization in Automation A Survey on Interpretable Reinforcement Learning

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-07T21:36:33.646549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:36:33.646549Z digest=sha256:994f9e6ada15ef3f4995570b8ca5cbc2350a8301c88e8bc8ac08e63019c2fcae

Observation 204169aa-8317-415d-872e-bfcc9f9a188e · inbound

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces cites this paper.

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces A Survey on Interpretable Reinforcement Learning

Reference 299

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:17:55.518438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-14T20:17:01.224864Z digest=sha256:7b7a5aa9037f070fb91b5353ff8fa622d8346362eeca2d09ce565205f173511e