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Paper Citation Record · LEDGER

Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.04490.

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

pith.paper-citation-record.v1
2205.04490 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:39:16.693897Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 034bf54c-0927-4e29-9d0f-9930a771b8fd · inbound

High-dimensional Optimization with Low Rank Tensor Sampling and Local Search cites this paper.

High-dimensional Optimization with Low Rank Tensor Sampling and Local Search Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:16.693897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:39:16.693897Z digest=sha256:78cbf4ccb713b9a2fd7bee2ac4997ae32fa25b60fc841db22470f7d6a359d995

Observation b47f4961-e4df-4291-9dad-e32594b6ae83 · inbound

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer cites this paper.

Optimizing adsorption configurations on alloy surfaces using Tensor Train Optimizer Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:20:29.306898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T13:20:28.683016Z digest=sha256:1ecee2f26b544c5be9ddfa2e5b2929f0b805d3aa090bd2c3aa911c47c478a7dc