Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:42:00.683674Z
Paper Citation Record · LEDGER
Crop recommendation with machine learning: leveraging environmental and economic factors for optimal crop selection
As of 20 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2505.21201.
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
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
5 of 5 outbound references displayed
- verified exact0
- verified fuzzy1
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ac5c4aa3-2de2-44b7-96d7-065cd1e09f61 · outbound
This paper cites an unresolved cited work.
Crop recommendation with machine learning: leveraging environmental and economic factors for optimal crop selection Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:42:01.836482Z
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 a39d2176-4a2e-4361-bc9f-4f041064e264 · outbound
This paper cites an unresolved cited work.
Crop recommendation with machine learning: leveraging environmental and economic factors for optimal crop selection Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:42:01.669878Z
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 60f89f0d-079e-4e58-b7e2-7b93bf40bb10 · outbound
This paper cites It exhibits a remarkable accuracy of 99.96% in Approach 1 followed by 78.55 % in Approach 2 and 83.62% in Approach 3.
Crop recommendation with machine learning: leveraging environmental and economic factors for optimal crop selection It exhibits a remarkable accuracy of 99.96% in Approach 1 followed by 78.55 % in Approach 2 and 83.62% in Approach 3
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:42:01.311599Z
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 d4eebad5-959c-44b0-9c97-9fffef2f1119 · outbound
This paper cites an unresolved cited work.
Crop recommendation with machine learning: leveraging environmental and economic factors for optimal crop selection Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:42:01.002621Z
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 cb457796-8fb6-493a-ae33-dee4c3373eeb · outbound
This paper cites an unresolved cited work.
Crop recommendation with machine learning: leveraging environmental and economic factors for optimal crop selection Unresolved cited work
Reference 2014
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:42:01.466764Z
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.
Pith citing papers
No inbound Pith citation observations are available.