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Paper Citation Record · LEDGER

Deep Residual Autoencoders for Expectation Maximization-inspired Dictionary Learning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1904.08827.

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

pith.paper-citation-record.v1
1904.08827 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:22:49.913776Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T11:22:49.997741Z

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 4d126f4d-20aa-4af8-a653-df07c43e4674 · inbound

RandNet: deep learning with compressed measurements of images cites this paper.

RandNet: deep learning with compressed measurements of images Deep Residual Autoencoders for Expectation Maximization-inspired Dictionary Learning

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-14T11:22:50.004770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T11:22:49.913776Z digest=sha256:074e57976d2b4e4ee62f4aeb1279dd20b20e20e05ea69e326e7132b10e6095cb