Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2009.14379.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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, observed 2026-08-15T23:42:41.580000Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T23:04:44.523421Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 6788c280-ee8d-448d-ade9-73232ff39178 · inbound
Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive Few-shot Learning for Time-series Forecasting
Reference 144
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 8da5a0e5-1352-4aaf-8c6d-a5c1b9748a93 · inbound
Retrieval Augmented Time Series Forecasting Few-shot Learning for Time-series Forecasting
Reference 2021
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7453e576-3e2b-422d-8483-0a92a9ebbc38 · inbound
Channel-wise Retrieval for Multivariate Time Series Forecasting Few-shot Learning for Time-series Forecasting
Reference 24
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 0d3f481d-243d-404c-9b34-cfedf4bf61b7 · inbound
Exploring the Potential of Probabilistic Transformer for Time Series Modeling: A Report on the ST-PT Framework Few-shot Learning for Time-series Forecasting
Reference 32
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.