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Paper Citation Record · LEDGER

Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1605.06336.

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

pith.paper-citation-record.v1
1605.06336 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:57:45.612276Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:57:03.562344Z

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 ce2e51ab-5b29-4241-b335-b5a24f255992 · inbound

Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning cites this paper.

Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:57:03.613959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:56:55.202038Z digest=sha256:c45c8817e39af7adfee437233f98629e572839f4568d730b52d02162f3cc7ddd

Observation be3ef946-edb9-4e47-9a9c-230fd396d6c9 · inbound

Foundations of Independent Component Analysis cites this paper.

Foundations of Independent Component Analysis Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-14T15:57:45.612276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T15:57:45.612276Z digest=sha256:7278976a73e7855456a137b1fc39ab1653b31af0c2ad15cd6709f6a50480de82