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Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations 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 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T00:11:48.863630Z

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

6
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0140a47b-3f3a-4a7b-ae45-c3fce0a59c35 · inbound

Tensor network state methods and quantum information theory for strongly correlated molecular systems cites this paper.

Tensor network state methods and quantum information theory for strongly correlated molecular systems Massively Parallel Tensor Network State Algorithms on Hybrid CPU-GPU Based Architectures

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-10T00:11:48.863630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:11:48.863630Z digest=sha256:808f4fc2903a0dd957cef222e04b9c823fa52d541223cf5bee727ad983ef07fd

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T13:27:38.377421Z digest=sha256:29e2bce3bf47231b8231f6d513952a6eba3c98b809b05251dbce5d3dffeed565