Paper Citation Record · LEDGER

Function Classes for Identifiable Nonlinear Independent Component Analysis

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2208.06406.

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

pith.paper-citation-record.v1
2208.06406 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:18:11.699852Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c3167e37-b295-40ea-8f6a-600435556925 · inbound

Position: An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research cites this paper.

Position: An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research Function Classes for Identifiable Nonlinear Independent Component Analysis

Reference 2

Resolution: malformed identifier; no resolver link, observed 2026-08-16T12:18:11.699852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1d877bc-19c6-41ea-86a6-827e43f1b07f · inbound

PDGMM-VAE: A Variational Autoencoder with Adaptive Per-Dimension Gaussian Mixture Model Priors for Nonlinear ICA cites this paper.

PDGMM-VAE: A Variational Autoencoder with Adaptive Per-Dimension Gaussian Mixture Model Priors for Nonlinear ICA Function Classes for Identifiable Nonlinear Independent Component Analysis

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:39:52.264470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 971ea4cf-357c-445e-a383-99c7df07e361 · inbound

Diverse Dictionary Learning cites this paper.

Diverse Dictionary Learning Function Classes for Identifiable Nonlinear Independent Component Analysis

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:41:36.616014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a5f222c4-659a-4b4b-bb39-8461e74eab71 · inbound

From Generalist to Specialist Representation cites this paper.

From Generalist to Specialist Representation Function Classes for Identifiable Nonlinear Independent Component Analysis

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:32:59.027451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eb325874-bc1a-4892-a1ba-69b487d76d04 · inbound

Disentanglement Beyond Generative Models with Riemannian ICA cites this paper.

Disentanglement Beyond Generative Models with Riemannian ICA Function Classes for Identifiable Nonlinear Independent Component Analysis

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:51:15.036190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 33e6f2b3-bd37-4728-8873-1ade516ee569 · inbound

How Optimality Structures Sparse Dictionaries: A Theory for Understanding SAE Representations cites this paper.

How Optimality Structures Sparse Dictionaries: A Theory for Understanding SAE Representations Function Classes for Identifiable Nonlinear Independent Component Analysis

Reference 290

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T01:46:26.184271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.