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Paper Citation Record · LEDGER

Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1805.08651.

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

pith.paper-citation-record.v1
1805.08651 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:18:11.716401Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T14:35:57.371480Z

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 6f3d5e7b-85f7-4c22-820d-9a997c0e7711 · inbound

Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments cites this paper.

Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-25T14:35:57.373508Z

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=arxiv_source observed=2026-05-25T14:31:31.260885Z digest=sha256:db33a9127b6e9b89c327fc12918490ca54e8c6f4b204be85b37eee90cb67a756

Observation c02b5604-053d-40cf-87e5-bc639268ce2c · 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 Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-16T12:18:11.716401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:18:11.716401Z digest=sha256:8dc7469c32c54fd4046d444cca701aa1ea95ca67a91bd3a0a3c7a0a0861a87ef

Observation ea2d45fe-1b1c-429e-a383-e45218786c93 · 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 Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T15:56:55.289803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:56:55.289803Z digest=sha256:cbbc42eab4cf2b1078092dc210654b704b0345c6f5c6e70ee16b2597ba27e82e

Observation 1f6b37bd-e9ed-4243-ae69-1af2cbe789d5 · inbound

A Neural Network model of Cultural Evolution cites this paper.

A Neural Network model of Cultural Evolution Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-07-31T17:05:04.248692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T17:05:04.248692Z digest=sha256:011d64b0069ef911fcbca0d435d0da9cd4656d52b2927c855fb76d7530c84ed4