Pith. sign in

Paper Citation Record · LEDGER

Learning Independent Features with Adversarial Nets for Non-linear ICA

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1710.05050.

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

pith.paper-citation-record.v1
1710.05050 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:33:44.781655Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:50:41.785157Z

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 973713d5-f76a-4c10-879d-1adaefa1a3c3 · inbound

Adversarial Dependence Minimization cites this paper.

Adversarial Dependence Minimization Learning Independent Features with Adversarial Nets for Non-linear ICA

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-09T05:33:44.781655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:33:44.781655Z digest=sha256:da4e595264dc85110fc6148e910ce40a31905492184b32fd1954f197a913cd5f

Observation 3b27774d-9652-400a-a68e-7ac48941c178 · inbound

Half-AVAE: Adversarial-Enhanced Factorized and Structured Encoder-Free VAE for Underdetermined Independent Component Analysis cites this paper.

Half-AVAE: Adversarial-Enhanced Factorized and Structured Encoder-Free VAE for Underdetermined Independent Component Analysis Learning Independent Features with Adversarial Nets for Non-linear ICA

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:50:41.859257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T05:50:37.700892Z digest=sha256:07db09a03edb0db520b03c1a42cfec42bad8a98f312b89921ba4cb4d661f5863