Paper Citation Record · LEDGER

Fermionic tomography and learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2207.14787.

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

pith.paper-citation-record.v1
2207.14787 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:25:14.973030Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T05:54:18.407476Z

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 62f8833b-54cf-43c3-a40d-45b0b0f21ffb · inbound

Matrix Elements of Fermionic Gaussian Operators in Arbitrary Pauli Bases: A Pfaffian Formula cites this paper.

Matrix Elements of Fermionic Gaussian Operators in Arbitrary Pauli Bases: A Pfaffian Formula Fermionic tomography and learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T11:25:14.973030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc2e0545-a4e0-4cfc-83d7-be5c5379e73c · inbound

Optimizing Quantum Chemistry Simulations with a Hybrid Quantization Scheme cites this paper.

Optimizing Quantum Chemistry Simulations with a Hybrid Quantization Scheme Fermionic tomography and learning

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:57:07.991865Z

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.

Observation d9e85132-49ca-4bdc-861c-ba87209d8b00 · inbound

Provably Efficient Learning of Fermionic Correlations under Particle-Number Symmetry cites this paper.

Provably Efficient Learning of Fermionic Correlations under Particle-Number Symmetry Fermionic tomography and learning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-30T05:54:18.410022Z

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.

Observation 24d5eb3d-df12-4ef3-ac43-d231c44faecf · inbound

Learning the closest Slater determinant cites this paper.

Learning the closest Slater determinant Fermionic tomography and learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T09:57:28.952147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.