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Paper Citation Record · LEDGER

Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1808.02229.

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

pith.paper-citation-record.v1
1808.02229 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:47:15.228336Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T17:47:16.119744Z

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 09d3c041-afef-494d-bb58-f0731e03aa93 · inbound

Improving Fine-Tuning with Latent Cluster Correction cites this paper.

Improving Fine-Tuning with Latent Cluster Correction Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-10T17:47:16.124611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T17:47:15.228336Z digest=sha256:827f35f26a8065d536e9ccc00ece29f02e7e36edac9f065dc3a05cc5d75d86f2