Paper Citation Record · LEDGER

Time Series Forecasting Using LSTM Networks: A Symbolic Approach

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2003.05672.

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

pith.paper-citation-record.v1
2003.05672 v1

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 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:49:47.378991Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T05:03:55.285366Z

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 8bb1b4a1-4a23-49d1-ba18-25f0f23fe94d · inbound

Parallel Two-Stage Approach for Joint Symbolic Approximation of Time Series cites this paper.

Parallel Two-Stage Approach for Joint Symbolic Approximation of Time Series Time Series Forecasting Using LSTM Networks: A Symbolic Approach

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-24T05:03:55.288085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b534c99e-5daa-470c-8f50-46cde5445610 · inbound

Quantized symbolic time series approximation cites this paper.

Quantized symbolic time series approximation Time Series Forecasting Using LSTM Networks: A Symbolic Approach

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T16:49:47.378991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67ad639e-76ee-49ab-862c-cdea85b8f6ef · inbound

Beyond Instructed Tasks: Recognizing In-the-Wild Reading Behaviors in the Classroom Using Eye Tracking cites this paper.

Beyond Instructed Tasks: Recognizing In-the-Wild Reading Behaviors in the Classroom Using Eye Tracking Time Series Forecasting Using LSTM Networks: A Symbolic Approach

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T23:28:27.094747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43092c3a-9c68-4f4a-9276-79f9da138d6a · inbound

CaReTS: A Multi-Task Framework Unifying Classification and Regression for Time Series Forecasting cites this paper.

CaReTS: A Multi-Task Framework Unifying Classification and Regression for Time Series Forecasting Time Series Forecasting Using LSTM Networks: A Symbolic Approach

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T22:36:43.079683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.