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Paper Citation Record · LEDGER

Deep Sparse Subspace Clustering

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1709.08374.

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

pith.paper-citation-record.v1
1709.08374 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:44:49.011244Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T18:36:08.195104Z

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 388a8ca0-9862-4bd6-b510-608419b349cb · inbound

ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference cites this paper.

ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference Deep Sparse Subspace Clustering

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T11:44:49.011244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:44:49.011244Z digest=sha256:f1876ca8cb8b97790f849d37cb103bd69a4b39164aed1b5b916115310e06da29

Observation fb20b69c-def3-4996-93dc-25d58e52ccd2 · inbound

Jointly Learning Structured Representations and Stabilized Affinity for Human Motion Segmentation cites this paper.

Jointly Learning Structured Representations and Stabilized Affinity for Human Motion Segmentation Deep Sparse Subspace Clustering

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-07-04T22:13:46.953527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T15:03:31.145565Z digest=sha256:d5bbe0af122b05a5f624f01b1797bcc16b894cc32a2666527e66cedad9d581f9