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Paper Citation Record · LEDGER

Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1909.11114.

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

pith.paper-citation-record.v1
1909.11114 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:59:07.498521Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

23
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cda972f9-0f99-4c4c-95ee-6a9628eaf402 · inbound

Snorkeling in dark waters: A longitudinal surface exploration of unique Tor Hidden Services (Extended Version) cites this paper.

Snorkeling in dark waters: A longitudinal surface exploration of unique Tor Hidden Services (Extended Version) Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-16T10:59:07.498521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:59:07.498521Z digest=sha256:d16a84395523f98fe5e1d2f59a3e1b0ccf188db0fc62d9d2de3046992c56b793

Observation d2297541-1c87-4af5-a1c6-0b74071fd9f0 · inbound

A Computational Ethical Framework for Financial Digital Phenotyping for Mental Health cites this paper.

A Computational Ethical Framework for Financial Digital Phenotyping for Mental Health Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis

Reference 199

Resolution
metadata mismatch
local_arxiv, observed 2026-07-31T19:31:35.365130Z

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.

source=arxiv_source observed=2026-07-31T19:30:18.007057Z digest=sha256:cc4f3af5f283ee88a908448e6b95d6b96c2a8d463ef9378f94517f2c374c323b