Paper Citation Record · LEDGER

Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2306.05035.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2306.05035 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:56:09.320572Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T04:07:37.184589Z

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 7997fcf4-dee6-4873-bc37-502e8a7698f3 · inbound

Act Now: A Novel Online Forecasting Framework for Large-Scale Streaming Data cites this paper.

Act Now: A Novel Online Forecasting Framework for Large-Scale Streaming Data Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T10:56:09.320572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91a7c77f-7be1-46c4-9ec4-8b13887d4693 · inbound

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method cites this paper.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T21:25:42.239205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a2e7dfe-aa8e-4e5b-b259-b013b65c8890 · inbound

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting cites this paper.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:07:37.186286Z

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 20ca69bf-ae28-4340-b566-c821ff986390 · inbound

Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time Series Foundation Models cites this paper.

Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time Series Foundation Models Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-12T00:39:40.668429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.