Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Improved implicit diffusion model with knowledge distillation to estimate the spatial distribution density of carbon stock in remote sensing imagery
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.17973.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:47:30.018610Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T18:11:14.448040Z
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 cf2705e4-7d3d-46fa-b7fb-330711dc1b4f · inbound
A Layered Self-Supervised Knowledge Distillation Framework for Efficient Multimodal Learning on the Edge cites this paper.
A Layered Self-Supervised Knowledge Distillation Framework for Efficient Multimodal Learning on the Edge Improved implicit diffusion model with knowledge distillation to estimate the spatial distribution density of carbon stock in remote sensing imagery
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:47:30.018610Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 506b2395-650b-4ba5-950b-a536ce612d02 · inbound
From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion cites this paper.
From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion Improved implicit diffusion model with knowledge distillation to estimate the spatial distribution density of carbon stock in remote sensing imagery
Reference 38
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T18:11:14.499815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.