Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Advancing Green AI: Efficient and Accurate Lightweight CNNs for Rice Leaf Disease Identification
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.01752.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T00:52:45.295875Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T22:16:15.461009Z
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 44b096d8-7b57-4f2b-ac57-53731ea59ed6 · inbound
DragonFruitQualityNet: A Lightweight Convolutional Neural Network for Real-Time Dragon Fruit Quality Inspection on Mobile Devices cites this paper.
DragonFruitQualityNet: A Lightweight Convolutional Neural Network for Real-Time Dragon Fruit Quality Inspection on Mobile Devices Advancing Green AI: Efficient and Accurate Lightweight CNNs for Rice Leaf Disease Identification
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T22:16:15.468189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8694974f-c0ea-49de-9c3a-0ecd5a8f8dd0 · inbound
Towards Sustainable Artificial Intelligence: A Comprehensive Review and Comparative Analysis of Deep Learning Models' Carbon Footprint cites this paper.
Towards Sustainable Artificial Intelligence: A Comprehensive Review and Comparative Analysis of Deep Learning Models' Carbon Footprint Advancing Green AI: Efficient and Accurate Lightweight CNNs for Rice Leaf Disease Identification
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T00:52:45.295875Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.