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Paper Citation Record · LEDGER

Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.06980.

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

pith.paper-citation-record.v1
2006.06980 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:11:39.556177Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T14:11:28.538311Z

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 dba28890-791a-405d-8d9c-2c70eb4420c4 · inbound

Numerical Pruning for Efficient Autoregressive Models cites this paper.

Numerical Pruning for Efficient Autoregressive Models Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing

Reference 70

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:11:28.542018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T14:11:27.055800Z digest=sha256:6a96d982ca2f991e9ba8447be879e5fce16d884babb5ef5e5ab716219f3acd19

Observation 6161906d-d0ee-44eb-b5c0-0d1d5226bf86 · inbound

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers cites this paper.

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-11T14:11:39.556177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:11:39.556177Z digest=sha256:9db660ac397158d0c5ffecc1a08240301d3642cdfefbd2a9e2abdfa4307cb38a