Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.05357.
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 2026-08-06T21:04:32.580295Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T20:42:44.393242Z
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 fd7380fe-6e8f-4fea-b01d-b579b81cfd26 · inbound
FLARE: A Dataflow-Aware and Scalable Hardware Architecture for Neural-Hybrid Scientific Lossy Compression cites this paper.
FLARE: A Dataflow-Aware and Scalable Hardware Architecture for Neural-Hybrid Scientific Lossy Compression Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:04:32.580295Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05f16016-d181-45b9-8c29-9a462b036a76 · inbound
Generative Latent Diffusion for Efficient Spatiotemporal Data Reduction cites this paper.
Generative Latent Diffusion for Efficient Spatiotemporal Data Reduction Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T20:42:44.462047Z
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.