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Paper Citation Record · LEDGER

Deep Unsupervised Clustering Using Mixture of Autoencoders

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1712.07788.

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

pith.paper-citation-record.v1
1712.07788 v2

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:21:15.673436Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T17:18:44.132897Z

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 b1a8e761-1bec-40e1-a383-b3238ae5743d · inbound

Exploring Expert Specialization through Unsupervised Training in Sparse Mixture of Experts cites this paper.

Exploring Expert Specialization through Unsupervised Training in Sparse Mixture of Experts Deep Unsupervised Clustering Using Mixture of Autoencoders

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T18:21:15.673436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:21:15.673436Z digest=sha256:ac303a71a8537266b5a9f0e41fc0fa1d60a09588969b556c2d4fec109c6e8669

Observation 70d333ee-0ea7-4e36-b0ab-2f2cded78581 · inbound

Rethinking Structural Anomaly Detection: From Decision Boundaries to Projection Operators cites this paper.

Rethinking Structural Anomaly Detection: From Decision Boundaries to Projection Operators Deep Unsupervised Clustering Using Mixture of Autoencoders

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-07-03T17:18:44.134428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-27T04:17:24.839535Z digest=sha256:439b61758a75f3b7455688fda5a16a1dce841cd3c981c3fd400f84df51e32071