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Paper Citation Record · LEDGER

Solving frustrated quantum many-particle models with convolutional neural networks

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1807.09422.

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

pith.paper-citation-record.v1
1807.09422 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:27:38.919079Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T19:30:06.921389Z

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 6eaa0c66-5299-4587-8e20-78d9fb53c753 · inbound

Graph-Theoretic Analysis of Phase Optimization Complexity in Variational Wave Functions for Heisenberg Antiferromagnets cites this paper.

Graph-Theoretic Analysis of Phase Optimization Complexity in Variational Wave Functions for Heisenberg Antiferromagnets Solving frustrated quantum many-particle models with convolutional neural networks

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-16T06:47:28.199988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T06:43:55.123827Z digest=sha256:e01a2aa9e036fab0460c689a6e233860bd6433affdd7ee97d6fb5aa5ef37c7db

Observation 3deeb0bb-4a8c-4cee-9340-d5e5c01f1ecb · 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 Solving frustrated quantum many-particle models with convolutional neural networks

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:46:49.375978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T04:14:59.095465Z digest=sha256:db5e7a38d5d781cf959d91a1bcd81577455e0f565c376b1dc863e00ec24f6c34

Observation 26eee5b1-aef1-4edf-a62d-4be13cfdaadd · 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 Solving frustrated quantum many-particle models with convolutional neural networks

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T15:30:38.849020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:30:38.849020Z digest=sha256:6a31d76de05742058db3e24011f4a7e9f0ce7905d6756e202df29bcf3283a671

Observation be9d06ff-5d0f-454f-a379-9516edd669aa · 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 Solving frustrated quantum many-particle models with convolutional neural networks

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T05:27:38.919079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:27:38.919079Z digest=sha256:6a7a6cbc649f56c227780d5a10d01f0eabc843bdc94f6619d577bcf291eca75d

Observation efa125a8-7d44-48b9-8efd-f87a90a87fb0 · inbound

Universal Neural Propagator: Learning Time Evolution in Many-Body Quantum Systems cites this paper.

Universal Neural Propagator: Learning Time Evolution in Many-Body Quantum Systems Solving frustrated quantum many-particle models with convolutional neural networks

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:36:07.075869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T17:23:24.715926Z digest=sha256:071c8eb144d96317cefd4c30a361e19f3c48dad01852677099916ae4e2311479

Observation b103b1f3-ae0e-4381-8fef-1eb4e26c4056 · inbound

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

Two-dimensional Hyperbolic RNN Neural Quantum State Solving frustrated quantum many-particle models with convolutional neural networks

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-04T19:30:06.923061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-25T21:21:56.164182Z digest=sha256:990ac86fd7106ceacc127560f8af33a4cd0d84e0c1d0d701c36df5626de2b69e