Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series Forecasting and Beyond
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.06061.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:42:46.269305Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T03:32:01.301422Z
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 e19fec89-65f3-42bf-ba04-0b0dcdd72601 · inbound
Circuit Complexity Bounds for Visual Autoregressive Model cites this paper.
Circuit Complexity Bounds for Visual Autoregressive Model Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series Forecasting and Beyond
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:42:46.269305Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cbc01840-9ca6-42bb-a828-392175214f38 · inbound
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation cites this paper.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series Forecasting and Beyond
Reference 2013
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:51:12.515735Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be437bdc-f106-4352-adac-b851ecbde8da · inbound
Time Series Forecasting Through the Lens of Dynamics cites this paper.
Time Series Forecasting Through the Lens of Dynamics Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series Forecasting and Beyond
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T03:32:01.305235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.