Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.14956.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:32:45.150684Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T07:21:55.169299Z
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 cec939f8-62dc-45ad-8e6b-bf0c0563917d · inbound
SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks cites this paper.
SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:32:45.150684Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0c0ad0b-248b-4083-badb-719320ba596e · inbound
Small Decision Trees for MDPs with Deductive Synthesis cites this paper.
Small Decision Trees for MDPs with Deductive Synthesis Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T19:30:54.408504Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a3cfdfb-0c0a-463c-b835-9d4984537d60 · inbound
A Survey of Explainable Reinforcement Learning: Targets, Methods and Needs cites this paper.
A Survey of Explainable Reinforcement Learning: Targets, Methods and Needs Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning
Reference 201
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:47:07.096224Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84bdf642-30d4-4603-8c62-7f3c4d97b89f · inbound
GRAIL: Autonomous Concept Grounding for Neuro-Symbolic Reinforcement Learning cites this paper.
GRAIL: Autonomous Concept Grounding for Neuro-Symbolic Reinforcement Learning Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T07:21:55.170675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e8e864a3-c648-421f-bc60-c0a6106f6ec5 · inbound
From Black Box to Executable Logic: Explainable Reinforcement Learning through Prolog Expert Systems cites this paper.
From Black Box to Executable Logic: Explainable Reinforcement Learning through Prolog Expert Systems Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T23:25:56.343456Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.