Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Dynamic Observation Policies in Observation Cost-Sensitive Reinforcement Learning
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.02620.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T16:48:57.719911Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T00:02:54.115925Z
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 6f13ba36-b8eb-42a7-b3f4-3bba902d8170 · inbound
To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning cites this paper.
To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning Dynamic Observation Policies in Observation Cost-Sensitive Reinforcement Learning
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T16:48:57.719911Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d65ba6c9-a10c-4667-bb4c-23305a5ec71e · inbound
Robust Remote Reinforcement Learning over Unreliable Communication Channels using Homomorphic State Encoding cites this paper.
Robust Remote Reinforcement Learning over Unreliable Communication Channels using Homomorphic State Encoding Dynamic Observation Policies in Observation Cost-Sensitive Reinforcement Learning
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T00:02:54.119106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.