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Paper Citation Record · LEDGER

Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.18412.

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

pith.paper-citation-record.v1
2405.18412 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:24:36.611800Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T20:20:13.073067Z

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 98bb280b-1d60-4925-a959-e038c3dfcae2 · inbound

Information-Theoretic Guarantees for Recovering Low-Rank Tensors from Symmetric Rank-One Measurements cites this paper.

Information-Theoretic Guarantees for Recovering Low-Rank Tensors from Symmetric Rank-One Measurements Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-08T20:20:13.076866Z

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=2026-08-08T20:20:12.685690Z digest=sha256:9326fc7e3324cd40c3e967d4d0034d23bd9e36919ffed1a6e449e44328eb5807

Observation 013d47b5-50e3-47f2-9ffd-33c73d82d4c4 · inbound

Large Average Subtensor Problem: Ground-State, Algorithms, and Algorithmic Barriers cites this paper.

Large Average Subtensor Problem: Ground-State, Algorithms, and Algorithmic Barriers Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges

Reference 2009

Resolution
unresolved
no resolver link, observed 2026-08-15T19:24:36.611800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:24:36.611800Z digest=sha256:22cc46ab2f6d546ca275b93cee5f1963ae0fb6f6812ed9fd879caed384c28aa9