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Paper Citation Record · LEDGER

SOFARI: High-Dimensional Manifold-Based Inference

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.15032.

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

pith.paper-citation-record.v1
2309.15032 v2

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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:37:26.261113Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T00:43:24.615226Z

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 8107c653-532b-45e9-a4ce-a774ba9745ef · inbound

SOFARI-R: High-Dimensional Manifold-Based Inference for Latent Responses cites this paper.

SOFARI-R: High-Dimensional Manifold-Based Inference for Latent Responses SOFARI: High-Dimensional Manifold-Based Inference

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T10:37:26.261113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:37:26.261113Z digest=sha256:0d17d91ba2a0d12cb90261d13bc3dcdcca90b8d93850be61c9b1c5f693fedd2b

Observation ccf76da2-d004-4646-88c6-ab434b496893 · inbound

GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds cites this paper.

GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds SOFARI: High-Dimensional Manifold-Based Inference

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-16T00:43:24.655932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-16T00:43:24.468585Z digest=sha256:ce8dada756e3027e926996a9bb02535612660aedc9cc3a8e5ead5972302d3493