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Paper Citation Record · LEDGER

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

As of 25 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 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 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-24T06:31:00.690269+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T16:29:49.703045Z

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

  • 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 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 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-05-11T01:40:37.609242Z digest=sha256:d3f0b0762ec72e0e90df2826e38305458ad5efcb7958d1cbf4b86ce28c5a391b

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 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-06-27T16:29:49.703045Z digest=sha256:67b30619ebc73c88d0e0c698803d469e8bf5f5d6ac78e2f97860d08e05caa0a9