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Paper Citation Record · LEDGER

Applying Quantum Autoencoders for Time Series Anomaly Detection

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.04154.

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

pith.paper-citation-record.v1
2410.04154 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:58:51.722520Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T18:31:55.844128Z

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 7c85fd87-bdfd-4970-8968-d1f5c0fed02b · inbound

Comprehensive Survey of QML: From Data Analysis to Algorithmic Advancements cites this paper.

Comprehensive Survey of QML: From Data Analysis to Algorithmic Advancements Applying Quantum Autoencoders for Time Series Anomaly Detection

Reference 158

Resolution
unresolved
no resolver link, observed 2026-08-10T19:58:51.722520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:58:51.722520Z digest=sha256:5f6740fd17f261456fd5f171f8f52339fb0692c52f8dfb30ac91729b71289973

Observation 1e08e6f8-4d3a-44c4-b2e4-86403963ae77 · inbound

Quantum Autoencoder for Multivariate Time Series Anomaly Detection cites this paper.

Quantum Autoencoder for Multivariate Time Series Anomaly Detection Applying Quantum Autoencoders for Time Series Anomaly Detection

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-22T18:31:55.845668Z

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=2026-05-22T18:28:28.325620Z digest=sha256:90a87db2da15c57804b73659a46a4a2049bc716125c6b1b53ce0e1f162f3088a

Observation 1873efcb-ef13-4598-886f-a17e7a0e98d2 · inbound

Intelligence-Guided Adaptive Purification for DDoS-Resilient Quantum Networks: A CUDA-Q based Study cites this paper.

Intelligence-Guided Adaptive Purification for DDoS-Resilient Quantum Networks: A CUDA-Q based Study Applying Quantum Autoencoders for Time Series Anomaly Detection

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-02T08:05:52.400451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:05:52.400451Z digest=sha256:f7bc536f1e57d419a91681e7e45644b4433542c3509631460d33b397af67d61d