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Paper Citation Record · LEDGER

Massively Parallel Tensor Network State Algorithms on Hybrid CPU-GPU Based Architectures

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2305.05581.

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

pith.paper-citation-record.v1
2305.05581 v1

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 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:27:38.377421Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:16:30.548575Z

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 b937e849-4858-4616-90ac-a7135a68b292 · inbound

Optimizing Tensor Network Partitioning using Simulated Annealing cites this paper.

Optimizing Tensor Network Partitioning using Simulated Annealing Massively Parallel Tensor Network State Algorithms on Hybrid CPU-GPU Based Architectures

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:27:38.694781Z

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=2026-08-06T13:27:38.377421Z digest=sha256:44fc60982a934cffc5ed0130e7a1023c2f4156dfae649fb9aa40c14516c1afbc