Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:12:46.764689Z
Paper Citation Record · LEDGER
Using machine learning to inform harvest control rule design in complex fishery settings
As of 19 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2412.12400.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
6 of 6 outbound references displayed
- verified exact0
- verified fuzzy4
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3ce4b2ef-82b4-44dd-8523-902d714e02c0 · outbound
This paper cites Magnuson-Stevens Fishery Conservation and Management Act.
Using machine learning to inform harvest control rule design in complex fishery settings Magnuson-Stevens Fishery Conservation and Management Act
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:12:46.869859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 89b5192d-2ffa-48b8-a4f3-67409c671927 · outbound
This paper cites Optimal fishery policy: An equilibrium solution with irreversible investment.
Using machine learning to inform harvest control rule design in complex fishery settings Optimal fishery policy: An equilibrium solution with irreversible investment
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:12:46.843453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 340a0885-643f-4ad2-89a2-93a777f99e67 · outbound
This paper cites Analysis of the eastern Pacific yellowfin tuna fishery based on multiple management objectives.
Using machine learning to inform harvest control rule design in complex fishery settings Analysis of the eastern Pacific yellowfin tuna fishery based on multiple management objectives
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:12:46.827302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1c7fadfe-4b4e-48a3-b0e6-50deb8df08ec · outbound
This paper cites A Tutorial on Bayesian Optimization.
Using machine learning to inform harvest control rule design in complex fishery settings A Tutorial on Bayesian Optimization
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:12:46.754190Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77adb1cd-d81e-4343-b81c-37d606b1a274 · outbound
This paper cites Proximal Policy Optimization Algorithms.
Using machine learning to inform harvest control rule design in complex fishery settings Proximal Policy Optimization Algorithms
Reference 95
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:12:46.759670Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf338bf8-7554-49ae-aaf0-26a1e9155771 · outbound
This paper cites Reinforcement learning and optimal control.
Using machine learning to inform harvest control rule design in complex fishery settings Reinforcement learning and optimal control
Reference 265
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:12:46.857439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Pith citing papers
No inbound Pith citation observations are available.