Paper Citation Record · LEDGER

Programmatically Interpretable Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1804.02477.

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

pith.paper-citation-record.v1
1804.02477 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:10:40.237902Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

98
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 85e96d88-dea6-4d59-a2b1-967616435cbb · inbound

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies cites this paper.

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies Programmatically Interpretable Reinforcement Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:10:40.237902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87dc3488-3b3b-4306-bec0-a90966db9e2b · inbound

"So, Tell Me About Your Policy...": Distillation of interpretable policies from Deep Reinforcement Learning agents cites this paper.

"So, Tell Me About Your Policy...": Distillation of interpretable policies from Deep Reinforcement Learning agents Programmatically Interpretable Reinforcement Learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:43.074284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e11c99fe-b15d-4bfc-8bf6-f8723af271ef · inbound

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

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces Programmatically Interpretable Reinforcement Learning

Reference 114

Resolution: metadata mismatch; local_arxiv, observed 2026-05-14T20:17:54.496480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 20dae1d8-7b08-4abd-aff3-2a78b4e45c71 · inbound

Scenario Generation for Risk-Aware Reinforcement Learning with Probably Approximately Safe Guarantees cites this paper.

Scenario Generation for Risk-Aware Reinforcement Learning with Probably Approximately Safe Guarantees Programmatically Interpretable Reinforcement Learning

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-07-02T07:06:44.592210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.