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Paper Citation Record · LEDGER

Disentangled Representation Learning with Wasserstein Total Correlation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1912.12818.

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

pith.paper-citation-record.v1
1912.12818 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:55:33.713090Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T18:49:09.963969Z

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 00b0e212-80f1-4c66-81cb-7effd847717d · inbound

Post-Training Augmentation Invariance cites this paper.

Post-Training Augmentation Invariance Disentangled Representation Learning with Wasserstein Total Correlation

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-15T20:55:33.713090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:55:33.713090Z digest=sha256:f63d115acf0c5bc88d9fe8016e83ec3beb18b841bd5d4790a18038ad063ca522

Observation 09c5d672-8774-4993-ab4e-83c1f58326d2 · inbound

Statistical Inference for Optimal Transport Maps: Recent Advances and Perspectives cites this paper.

Statistical Inference for Optimal Transport Maps: Recent Advances and Perspectives Disentangled Representation Learning with Wasserstein Total Correlation

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-15T18:49:09.971111Z

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.

source=pdf_text observed=2026-08-15T18:49:09.924363Z digest=sha256:299f1073a2c3b12bcddfbaaeaf06312495588d94963570a391afdb066bd8307e