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Paper Citation Record · LEDGER

Faster Robust Tensor Power Method for Arbitrary Order

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.00406.

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

pith.paper-citation-record.v1
2306.00406 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:39:14.146711Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:11:06.296716Z

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 45a08f1f-0a95-4241-afe6-76e2d069d4cb · inbound

Universal Approximation of Visual Autoregressive Transformers cites this paper.

Universal Approximation of Visual Autoregressive Transformers Faster Robust Tensor Power Method for Arbitrary Order

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T16:39:14.146711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:39:14.146711Z digest=sha256:694954f4404ee3d745926f70814eb7fd5bcba80e9cfab341d09fcbd3206f68d8

Observation eadad6f9-9605-421c-a73a-39a129b31740 · inbound

Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse cites this paper.

Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse Faster Robust Tensor Power Method for Arbitrary Order

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:11:06.390357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:10:58.679033Z digest=sha256:92ad06bae7fbe726ad23b0afdb48f30196bcac624ae8b71076af5bcce0090d3d