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Paper Citation Record · LEDGER

Exploring Interpretable LSTM Neural Networks over Multi-Variable Data

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1905.12034.

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

pith.paper-citation-record.v1
1905.12034 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:41:30.220706Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:09:28.924718Z

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 fb6264f7-132a-4a14-867e-a2312cf7786c · inbound

Interpretable deep convolutional model for nonlinear multivariate time series in complex systems cites this paper.

Interpretable deep convolutional model for nonlinear multivariate time series in complex systems Exploring Interpretable LSTM Neural Networks over Multi-Variable Data

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T21:41:30.220706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:41:30.220706Z digest=sha256:cc899a0edcd14b2e06c10d08c3692f22e7eaa27a2fef370cda8ddb4923930792

Observation b4b11d99-139d-4b6a-ad8d-ccd34979d2fa · inbound

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation cites this paper.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Exploring Interpretable LSTM Neural Networks over Multi-Variable Data

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:09:28.935300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:09:23.191956Z digest=sha256:db0c4a719c5165e2e6c4c1d8deb16d7246ab4845634b9b301b1ea74ac1ddde05