Paper Citation Record · LEDGER

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1907.00235.

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

pith.paper-citation-record.v1
1907.00235 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 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:53:18.273127Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:41:34.812342Z

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 1cd53eb1-a974-4852-85c2-37a2d415a146 · inbound

Hidformer: Transformer-Style Neural Network in Stock Price Forecasting cites this paper.

Hidformer: Transformer-Style Neural Network in Stock Price Forecasting Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T23:50:40.996305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a638cb83-a64a-42e6-91dd-f2ead246d4cb · inbound

A Novel Hybrid Approach Using an Attention-Based Transformer + GRU Model for Predicting Cryptocurrency Prices cites this paper.

A Novel Hybrid Approach Using an Attention-Based Transformer + GRU Model for Predicting Cryptocurrency Prices Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:18.273127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87584baa-a826-4c29-b126-e968deaa42b9 · inbound

Time Series Foundation Models for Multivariate Financial Time Series Forecasting cites this paper.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:18.158760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b7432a7-dba8-40c6-acab-748cb3ad1641 · inbound

Spectral Transformer Neural Processes cites this paper.

Spectral Transformer Neural Processes Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:41:34.836864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.