Paper Citation Record · LEDGER

Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1811.12359.

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

pith.paper-citation-record.v1
1811.12359 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T06:03:26.484896Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

612
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b970daa5-7c8d-4345-a55d-4ca2f7ea13dc · inbound

Affine Disentangled GAN for Interpretable and Robust AV Perception cites this paper.

Affine Disentangled GAN for Interpretable and Robust AV Perception Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-25T01:56:32.539435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 77e48169-9a27-46ea-b1e3-8c46246d901f · inbound

Imitation Learning Based on Disentangled Representation Learning of Behavioral Characteristics cites this paper.

Imitation Learning Based on Disentangled Representation Learning of Behavioral Characteristics Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T06:03:26.484896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd28fe45-4b02-4ee8-9d4d-ff6d0410d78d · inbound

Interpretable Self-Supervised Learning via Representer Landmarks and Nystr\"om Approximation cites this paper.

Interpretable Self-Supervised Learning via Representer Landmarks and Nystr\"om Approximation Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:34.687216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62b37834-2968-428f-b10e-b91f3372c947 · inbound

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision cites this paper.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T06:57:46.321972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c65f071-2d80-42e8-a6e2-963cc5740dc0 · inbound

Prognostic Value of Lung Ultrasound Biomarkers for Readmission Risk in Congestive Heart Failure: A Pilot Data-Driven Analysis cites this paper.

Prognostic Value of Lung Ultrasound Biomarkers for Readmission Risk in Congestive Heart Failure: A Pilot Data-Driven Analysis Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Reference 201

Resolution: verified exact; local_arxiv, observed 2026-05-20T15:43:26.376954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 37805e57-c744-4588-827b-2a190a648b60 · inbound

When Are Multimodal Predictions Biologically Supported? A Diagnostic Evaluation Framework cites this paper.

When Are Multimodal Predictions Biologically Supported? A Diagnostic Evaluation Framework Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-06-28T22:52:45.162512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cf6a952b-bc71-4188-8cf4-0546b63fd61f · inbound

Unsupervised Causal Abstractions Discovery cites this paper.

Unsupervised Causal Abstractions Discovery Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-06-26T20:49:57.440107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e566b5be-545f-4984-80c9-e5e8a1bedd7d · inbound

Escaping the Procrustean Bed: Groupwise Orthogonal Connectors for Audio-Language Models cites this paper.

Escaping the Procrustean Bed: Groupwise Orthogonal Connectors for Audio-Language Models Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-07-08T19:35:32.590727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c0f3c50d-30cd-4946-8060-e5a68596aa36 · inbound

Shared Symbolic Backbones for Physically Consistent Multi-Output Symbolic Regression cites this paper.

Shared Symbolic Backbones for Physically Consistent Multi-Output Symbolic Regression Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-01T14:02:08.330588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 930ec956-6457-4a34-a7ec-c412c68d049a · inbound

Foundation Models for Astrophysics cites this paper.

Foundation Models for Astrophysics Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-04T04:31:48.894299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.