Pith. sign in

Paper Citation Record · LEDGER

Automating Outlier Detection via Meta-Learning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2009.10606.

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

pith.paper-citation-record.v1
2009.10606 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 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:12:02.088459Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T19:38:56.227739Z

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 9572ae8d-cb73-46aa-9ba2-1a0e64802d6f · inbound

Coincident Learning for Beam-based RF Station Fault Identification Using Phase Information at the SLAC Linac Coherent Light Source cites this paper.

Coincident Learning for Beam-based RF Station Fault Identification Using Phase Information at the SLAC Linac Coherent Light Source Automating Outlier Detection via Meta-Learning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T15:12:02.088459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:12:02.088459Z digest=sha256:2224ed36eaac0cade23211e06751b7f05c6360d6c57bf6c68548e2dec73316fe

Observation da092ead-47f7-4725-a027-ca30b7562641 · inbound

We Need to Rethink Benchmarking in Anomaly Detection cites this paper.

We Need to Rethink Benchmarking in Anomaly Detection Automating Outlier Detection via Meta-Learning

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T15:32:32.698606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:32.698606Z digest=sha256:7374f67d44b06f4b510daff98fdef3f74c123d01903ad777e590ff9a7205a092

Observation 36ce13c8-b6a0-4225-b90c-f9e76bb06d91 · inbound

Automatic Unsupervised Ensemble Outlier Model Selection--Extended Version cites this paper.

Automatic Unsupervised Ensemble Outlier Model Selection--Extended Version Automating Outlier Detection via Meta-Learning

Reference 176

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:38:56.230467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-20T19:36:28.765895Z digest=sha256:1346c79dea50d5e2446f2f167130355b4e9960e7fac1c3fb25d9e9c93767c245