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Paper Citation Record · LEDGER

Learning Gaussian Operations and the Matchgate Hierarchy

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.12649.

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

pith.paper-citation-record.v1
2407.12649 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:45:43.018496Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T21:37:09.051165Z

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 697cbd39-641a-4462-aa00-db649d38f525 · inbound

Fermionic Averaged Circuit Eigenvalue Sampling cites this paper.

Fermionic Averaged Circuit Eigenvalue Sampling Learning Gaussian Operations and the Matchgate Hierarchy

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:37:09.055004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T21:35:13.583343Z digest=sha256:9061ea41381011a1e086e367e85321cf4f94050cdfef523a368d260790579419

Observation 8576a7dd-dcb4-426a-9a6d-24946b8729ab · inbound

Efficiently learning fermionic unitaries with few non-Gaussian gates cites this paper.

Efficiently learning fermionic unitaries with few non-Gaussian gates Learning Gaussian Operations and the Matchgate Hierarchy

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T11:45:43.018496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:45:43.018496Z digest=sha256:53ee0bc95f1fdcecf8472232832d4324bf5507a9d34ab6051e3be578d0bd48cf