Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:56:20.548691Z
Paper Citation Record · LEDGER
A Hybrid Machine Learning Framework for Optimizing Crop Selection via Agronomic and Economic Forecasting
As of 14 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2507.08832.
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 2026-08-14T06:32:32.682623+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
11 of 11 outbound references displayed
- verified exact0
- verified fuzzy2
- unresolved9
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5adc91ea-5cc3-4e98-b3bf-8eaf03748459 · outbound
This paper cites an unresolved cited work.
A Hybrid Machine Learning Framework for Optimizing Crop Selection via Agronomic and Economic Forecasting Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:56:20.639790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4268066a-97b2-42cc-9058-1ff5e32caeaa · outbound
This paper cites Mahendra Dev.
A Hybrid Machine Learning Framework for Optimizing Crop Selection via Agronomic and Economic Forecasting Mahendra Dev
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:56:20.633683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 30d7f9f2-7a41-4f6f-9467-82d7fc4b698b · outbound
This paper cites an unresolved cited work.
A Hybrid Machine Learning Framework for Optimizing Crop Selection via Agronomic and Economic Forecasting Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:56:20.627347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9adf203c-db32-43e7-9539-646332546331 · outbound
This paper cites Federated Learning: Strategies for Improving Communication Efficiency.
A Hybrid Machine Learning Framework for Optimizing Crop Selection via Agronomic and Economic Forecasting Federated Learning: Strategies for Improving Communication Efficiency
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:56:20.532881Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3a4b5a7-f6e6-4183-a116-cf7ad8fc4964 · outbound
This paper cites an unresolved cited work.
A Hybrid Machine Learning Framework for Optimizing Crop Selection via Agronomic and Economic Forecasting Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:56:20.620835Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7a784688-504e-4537-b893-e2350ad42584 · outbound
This paper cites an unresolved cited work.
A Hybrid Machine Learning Framework for Optimizing Crop Selection via Agronomic and Economic Forecasting Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:56:20.614402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ab8d4adc-37bd-45eb-920c-f7370d130374 · outbound
This paper cites Scaling Speech Technology to 1,000+ Languages.
A Hybrid Machine Learning Framework for Optimizing Crop Selection via Agronomic and Economic Forecasting Scaling Speech Technology to 1,000+ Languages
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:56:20.540912Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2411d12-38bd-49dd-94de-26b5d07b4a9e · outbound
This paper cites Pudumalar, P.
A Hybrid Machine Learning Framework for Optimizing Crop Selection via Agronomic and Economic Forecasting Pudumalar, P
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:56:20.606057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c76ea26e-7483-4223-aa19-1ccd2b77fda9 · outbound
This paper cites an unresolved cited work.
A Hybrid Machine Learning Framework for Optimizing Crop Selection via Agronomic and Economic Forecasting Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:56:20.597511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7847b391-911c-41d3-86a5-62b446535f8b · outbound
This paper cites an unresolved cited work.
A Hybrid Machine Learning Framework for Optimizing Crop Selection via Agronomic and Economic Forecasting Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:56:20.591584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8d274041-76ae-43a2-901f-5454b8952ab0 · outbound
This paper cites an unresolved cited work.
A Hybrid Machine Learning Framework for Optimizing Crop Selection via Agronomic and Economic Forecasting Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:56:20.583700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Pith citing papers
No inbound Pith citation observations are available.