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Paper Citation Record · LEDGER

Artificial neural network modelling of generalised parton distributions

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2112.10528.

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

pith.paper-citation-record.v1
2112.10528 v1

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 2026-08-21T06:32:19.484+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:35:36.030582Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:27:31.423947Z

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0 of 0 outbound references displayed

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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 a1b478cf-0506-4bc4-b4a7-0105de431ad9 · inbound

GUMP1.0 -- First global extraction of generalized parton distributions from experiment and lattice data with NLO accuracy cites this paper.

GUMP1.0 -- First global extraction of generalized parton distributions from experiment and lattice data with NLO accuracy Artificial neural network modelling of generalised parton distributions

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-04T21:29:46.506576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fc359411-68cc-404d-a964-1127f25c5092 · inbound

A Unified Neural-Network Framework for Nucleon Imaging from Numerical Simulations of QCD cites this paper.

A Unified Neural-Network Framework for Nucleon Imaging from Numerical Simulations of QCD Artificial neural network modelling of generalised parton distributions

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T15:54:36.572932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d6454a14-a667-499b-a5da-377ecec53162 · inbound

Assessing the impact of the electron ion collider in China on Deeply Virtual Compton Scattering cites this paper.

Assessing the impact of the electron ion collider in China on Deeply Virtual Compton Scattering Artificial neural network modelling of generalised parton distributions

Reference 42

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unresolved
no resolver link, observed 2026-08-03T14:52:28.400008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7686b33c-4a75-4385-bf48-b78e95825f7b · inbound

Reconstructing the full kinematic dependence of GPDs from pseudo-distributions cites this paper.

Reconstructing the full kinematic dependence of GPDs from pseudo-distributions Artificial neural network modelling of generalised parton distributions

Reference 136

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:01:15.535732Z

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.

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Observation 2deb803b-05f1-4fb1-bafc-98926177a5ff · inbound

On the Two $R$-Factors in the Small-$x$ Shockwave Formalism cites this paper.

On the Two $R$-Factors in the Small-$x$ Shockwave Formalism Artificial neural network modelling of generalised parton distributions

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:41:13.967990Z

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=2026-05-08T02:43:51.440221Z digest=sha256:4094540ebd411e640885fa480cdbfd2488a78c08917bfda12409de1274a4d6d0

Observation 3c19ce11-e746-42f8-9bb9-2941ba076963 · inbound

Constraining DVCS Compton Form Factors Using Lattice QCD informed Neural Network cites this paper.

Constraining DVCS Compton Form Factors Using Lattice QCD informed Neural Network Artificial neural network modelling of generalised parton distributions

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:27:31.425253Z

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=2026-06-27T16:29:49.703045Z digest=sha256:d3edbb1d9cbbddaf46c08945ef4bee9f27cc2343c932b1bf689c502e05edd241

Observation c8eeb9a8-4f2b-458e-8f7a-dc7e1e5cfacd · inbound

Physics of the Electron-Ion Collider in China cites this paper.

Physics of the Electron-Ion Collider in China Artificial neural network modelling of generalised parton distributions

Reference 255

Resolution
unresolved
no resolver link, observed 2026-08-16T00:35:36.030582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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