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Paper Citation Record · LEDGER

On interpretability and proper latent decomposition of autoencoders

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.08345.

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

pith.paper-citation-record.v1
2211.08345 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T06:04:50.314270Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T03:27:34.762633Z

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 ff5402e9-c92a-416d-98b7-fdeefe37659d · inbound

Rethinking Multimodality: Optimizing Multimodal Deep Learning for Biomedical Signal Classification cites this paper.

Rethinking Multimodality: Optimizing Multimodal Deep Learning for Biomedical Signal Classification On interpretability and proper latent decomposition of autoencoders

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T06:04:50.314270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T06:04:50.314270Z digest=sha256:7293234f66d6fa997cac6112a96c5baf765e35131f672b345984210e04fb7667

Observation 061757ce-55d3-4992-8f67-9438d2a57335 · inbound

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit cites this paper.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit On interpretability and proper latent decomposition of autoencoders

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-03T03:27:34.764082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T15:22:44.528747Z digest=sha256:f98b45fe77aee755b5a6709fdf51a5f2fc1980f6f8be8a0f36ccbf9e755d2376