Paper Citation Record · LEDGER

Benchmarks for a Global Extraction of Information from Deeply Virtual Exclusive Scattering

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2207.10766.

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

pith.paper-citation-record.v1
2207.10766 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 2026-08-19T06:32:44.657259+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:51:39.841887Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:27:31.388072Z

Reference resolution

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 8585b329-8291-42b0-bd82-edb379db4075 · inbound

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD cites this paper.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Benchmarks for a Global Extraction of Information from Deeply Virtual Exclusive Scattering

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.841887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c932016-2576-4086-b9f4-760f6fe6523a · inbound

Anomalous electroweak physics unraveled via evidential deep learning cites this paper.

Anomalous electroweak physics unraveled via evidential deep learning Benchmarks for a Global Extraction of Information from Deeply Virtual Exclusive Scattering

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:34.045701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6393be3-5d1e-46ac-bf9a-ee26da3a49c3 · inbound

Mapping Parton Distributions of Hadrons with Lattice QCD cites this paper.

Mapping Parton Distributions of Hadrons with Lattice QCD Benchmarks for a Global Extraction of Information from Deeply Virtual Exclusive Scattering

Reference 292

Resolution: unresolved; no resolver link, observed 2026-08-07T10:32:22.816314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc4616be-a836-43f4-9529-288c9688a2ea · inbound

Decoding the proton's gluonic density with lattice QCD-informed machine learning cites this paper.

Decoding the proton's gluonic density with lattice QCD-informed machine learning Benchmarks for a Global Extraction of Information from Deeply Virtual Exclusive Scattering

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:18.844845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fe5227b-a5bf-4558-9ffe-286631d8e95e · 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 Benchmarks for a Global Extraction of Information from Deeply Virtual Exclusive Scattering

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:30.858967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5013d40-e410-4042-8264-60a397287836 · inbound

Neural Network Representation of Generalized Parton Distributions (NNGPD) cites this paper.

Neural Network Representation of Generalized Parton Distributions (NNGPD) Benchmarks for a Global Extraction of Information from Deeply Virtual Exclusive Scattering

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:40:51.566311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8e1b1efb-6516-4633-89fd-5cea6f93aab6 · 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 Benchmarks for a Global Extraction of Information from Deeply Virtual Exclusive Scattering

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:27:31.389320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.