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Paper Citation Record · LEDGER

Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.00091.

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

pith.paper-citation-record.v1
2406.00091 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:35:46.523209Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:06.915860Z

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 0e08f0f1-2399-47e0-ba9c-3934664e46d7 · inbound

Time-dependent Neural Galerkin Method for Quantum Dynamics cites this paper.

Time-dependent Neural Galerkin Method for Quantum Dynamics Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:12:41.646819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-23T07:09:24.451702Z digest=sha256:b12638348e6de3e5ecc865385c24d8a591f9b613d8374a7a684d67f07b7004cd

Observation 7f5dcfdc-2501-4d94-a84a-5ab32f16470c · inbound

Quantum-enhanced neural networks for quantum many-body simulations cites this paper.

Quantum-enhanced neural networks for quantum many-body simulations Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-10T17:35:46.523209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:35:46.523209Z digest=sha256:b48f5590dbc5178c279c0c1da5578b6429a1df9abfd7a51866f0f94e5ab65425

Observation 487980cd-f431-4800-a865-c8d859ebca84 · inbound

Optimized Gutzwiller Projected States for Doped Antiferromagnets in Fermi-Hubbard Simulators cites this paper.

Optimized Gutzwiller Projected States for Doped Antiferromagnets in Fermi-Hubbard Simulators Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T04:19:32.506093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:19:32.506093Z digest=sha256:b8a3243f42e6b6199d99b5cd290421966c58d44ee033ca957ba683a86738ab36

Observation 05082622-40aa-42e1-8254-662c736531c4 · inbound

New non-Euclidean neural quantum states from hyperbolic Lorentz recurrent architectures cites this paper.

New non-Euclidean neural quantum states from hyperbolic Lorentz recurrent architectures Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:46:49.301579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T04:14:59.095465Z digest=sha256:f9f8d4b9be74679ef4dd89b1ab1df1dcc70eae9cd765907eae663b61d8a4c1e7

Observation 928df175-19a1-46dd-8e29-811ceae0e913 · inbound

New non-Euclidean neural quantum states from hyperbolic Lorentz recurrent architectures cites this paper.

New non-Euclidean neural quantum states from hyperbolic Lorentz recurrent architectures Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T15:30:38.910599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:30:38.910599Z digest=sha256:39c8c0a0ee1887fff0da2cb48028a231ba33273c8e3851922a836aeb13bb0d04

Observation 6fdd5741-0961-42fc-954b-17331c792692 · inbound

New non-Euclidean neural quantum states from hyperbolic Lorentz recurrent architectures cites this paper.

New non-Euclidean neural quantum states from hyperbolic Lorentz recurrent architectures Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T05:27:40.226572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:27:40.226572Z digest=sha256:3e2f669de14efaf7f35453ed82f951408e017aa6b93f800ecea400652a116dd9

Observation 383c26ec-3b79-4e04-ae73-ec2916c6975d · inbound

Two-dimensional Hyperbolic RNN Neural Quantum State cites this paper.

Two-dimensional Hyperbolic RNN Neural Quantum State Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:30:06.917503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-25T21:21:56.164182Z digest=sha256:e7451f4419ed1a640c4811a2d6a47727ce350066dcb21b2156457047232c39af