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Paper Citation Record · LEDGER

Disentangling by Partitioning: A Representation Learning Framework for Multimodal Sensory Data

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1805.11264.

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

pith.paper-citation-record.v1
1805.11264 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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:09:11.007760Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T05:30:03.170771Z

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 8df4581b-c3c6-4ec1-baf3-722542e168c8 · inbound

Translating Visual Art into Music cites this paper.

Translating Visual Art into Music Disentangling by Partitioning: A Representation Learning Framework for Multimodal Sensory Data

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-14T05:30:03.177037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-14T05:30:03.046805Z digest=sha256:228aaecff568e80fcaf0056ff49469c10e75b25cacf287116ff6157fc472eae0

Observation 6b3d5faa-05fc-431a-9015-43391944c9a3 · inbound

ShaLa: Multimodal Shared Latent Space Modelling cites this paper.

ShaLa: Multimodal Shared Latent Space Modelling Disentangling by Partitioning: A Representation Learning Framework for Multimodal Sensory Data

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T17:09:11.007760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:09:11.007760Z digest=sha256:6f896cf590b3fd1e5f733ad648554ca2743c2f003a3477569a86c4a88f690de8