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Paper Citation Record · LEDGER

HOBOTAN: Efficient Higher Order Binary Optimization Solver with Tensor Networks and PyTorch

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.19987.

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

pith.paper-citation-record.v1
2407.19987 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 2026-08-08T17:16:31.539236Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T17:16:32.729597Z

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 bef38315-bce5-4d15-912f-a509edf9aeaf · inbound

Explicit Solution Equation for Every Combinatorial Problem via Tensor Networks: MeLoCoToN cites this paper.

Explicit Solution Equation for Every Combinatorial Problem via Tensor Networks: MeLoCoToN HOBOTAN: Efficient Higher Order Binary Optimization Solver with Tensor Networks and PyTorch

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-08T17:16:32.734221Z

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=2026-08-08T17:16:31.539236Z digest=sha256:f19c2211d7876e55f693743767d8acf761d5f218fa3f2f2a84a86198944d78f3

Observation de6954d1-a9e4-4ece-bcad-9d3e6742fb50 · inbound

Variational matrix product states for combinatorial optimization cites this paper.

Variational matrix product states for combinatorial optimization HOBOTAN: Efficient Higher Order Binary Optimization Solver with Tensor Networks and PyTorch

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-03T14:24:36.196901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:24:36.196901Z digest=sha256:17123ab6f1ef58f8f1b840ec716ac6e53e23055c0bcae1728a8636d5ae206d88