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Paper Citation Record · LEDGER

Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.17162.

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

pith.paper-citation-record.v1
2311.17162 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:31:42.993602Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T03:26:35.626238Z

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 953e3c0f-58fd-49c5-96bb-7eb8be5df8e7 · inbound

Graph theory inspired anomaly detection at the LHC cites this paper.

Graph theory inspired anomaly detection at the LHC Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-15T18:31:42.993602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:31:42.993602Z digest=sha256:5e8c9b063890f147e037f3e89f990fcd5cd848cf674b974194458d7c93ee6795

Observation 08813550-bf70-4115-aa90-e4a317a6101b · inbound

GMENet: Generative Mixture of Experts Network for Multi-Center Glioma Diagnosis with Incomplete Imaging Sequences cites this paper.

GMENet: Generative Mixture of Experts Network for Multi-Center Glioma Diagnosis with Incomplete Imaging Sequences Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-25T03:26:35.628895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-25T03:25:44.104161Z digest=sha256:082d31a6e5b067319a4b2ed948feefa6631a03d1bcd748695d13734f81b71356