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Paper Citation Record · LEDGER

Variational Bi-LSTMs

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1711.05717.

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

pith.paper-citation-record.v1
1711.05717 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:08:51.063811Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:47:11.786805Z

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 8525f1f1-a184-4be4-88b0-409f124b289e · inbound

Variational Graph Recurrent Neural Networks cites this paper.

Variational Graph Recurrent Neural Networks Variational Bi-LSTMs

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-14T11:08:51.063811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:08:51.063811Z digest=sha256:8684583077220ce8f3810f0a84b056334709be2c828658648b14468cb8fb9444

Observation 2828db7f-a0fd-4ca9-b5f1-fc2a3a409926 · inbound

Towards Foundation Auto-Encoders for Time-Series Anomaly Detection cites this paper.

Towards Foundation Auto-Encoders for Time-Series Anomaly Detection Variational Bi-LSTMs

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:47:11.790450Z

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.

source=pdf_text observed=2026-08-06T20:47:11.597107Z digest=sha256:bfeab33527f2a7e5b3d48b32dce0fc1f12e6d084df5ce667a38ebf37c8ba0f7f