Pith. sign in

Paper Citation Record · LEDGER

Pre-optimizing variational quantum eigensolvers with tensor networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.12965.

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

pith.paper-citation-record.v1
2310.12965 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:52:49.358849Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T18:01:54.603763Z

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 095cbb35-4da4-4409-ba2b-bf9277c7592d · inbound

Preparation Circuits for Matrix Product States by Classical Variational Disentanglement cites this paper.

Preparation Circuits for Matrix Product States by Classical Variational Disentanglement Pre-optimizing variational quantum eigensolvers with tensor networks

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-22T18:01:54.605297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T17:57:11.561540Z digest=sha256:5b2f56f140d1af9c8339857d61a55d43fce917318ab3348b671338963e58ac84

Observation 1b5693d9-91ed-4e2b-af90-885679efcf6e · inbound

Deep-learned error mitigation via partially knitted circuits for the variational quantum eigensolver cites this paper.

Deep-learned error mitigation via partially knitted circuits for the variational quantum eigensolver Pre-optimizing variational quantum eigensolvers with tensor networks

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T10:52:49.358849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:52:49.358849Z digest=sha256:af577d9d9c5c46e3b2a4b717e888f56a244c1fb3cb741e7215d0956b7f6916c6