Paper Citation Record · LEDGER

VAIM-CFF: A variational autoencoder inverse mapper solution to Compton form factor extraction from deeply virtual exclusive reactions

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2405.05826.

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

pith.paper-citation-record.v1
2405.05826 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:51:39.846634Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:27:31.362353Z

Reference resolution

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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 7155c29f-1a30-4d5b-bd77-c3e555bf12f6 · 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 VAIM-CFF: A variational autoencoder inverse mapper solution to Compton form factor extraction from deeply virtual exclusive reactions

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.846634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ebfd9b9-080a-4926-8a72-651310b05f9c · inbound

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

Anomalous electroweak physics unraveled via evidential deep learning VAIM-CFF: A variational autoencoder inverse mapper solution to Compton form factor extraction from deeply virtual exclusive reactions

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:34.050886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d7db670-d9db-4f37-a756-a1b9cd5143fd · inbound

Bayesian Inferring Nucleon's Gravitation Form Factors via Near-threshold $J/\psi$ Photoproduction cites this paper.

Bayesian Inferring Nucleon's Gravitation Form Factors via Near-threshold $J/\psi$ Photoproduction VAIM-CFF: A variational autoencoder inverse mapper solution to Compton form factor extraction from deeply virtual exclusive reactions

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T19:17:06.600577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4281f3d7-2c72-4d76-89b9-5414a1bf92a0 · inbound

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

Mapping Parton Distributions of Hadrons with Lattice QCD VAIM-CFF: A variational autoencoder inverse mapper solution to Compton form factor extraction from deeply virtual exclusive reactions

Reference 298

Resolution: unresolved; no resolver link, observed 2026-08-07T10:32:22.823982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dedbd2b6-d827-4707-b171-2ae5b2589e81 · 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 VAIM-CFF: A variational autoencoder inverse mapper solution to Compton form factor extraction from deeply virtual exclusive reactions

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:18.825255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9472cff7-2984-4abe-9188-ecd0eb8b5112 · 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 VAIM-CFF: A variational autoencoder inverse mapper solution to Compton form factor extraction from deeply virtual exclusive reactions

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-04T21:29:46.545798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76b3b686-1a5b-46cb-9088-54bb384d4212 · 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 VAIM-CFF: A variational autoencoder inverse mapper solution to Compton form factor extraction from deeply virtual exclusive reactions

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:30.776973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5a9e2d3-ed48-4615-abac-ac60e63b6d96 · 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 VAIM-CFF: A variational autoencoder inverse mapper solution to Compton form factor extraction from deeply virtual exclusive reactions

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:41:13.903732Z

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.

Observation a549bce6-1fab-4d4a-a1ad-fe5560f928a5 · inbound

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

Neural Network Representation of Generalized Parton Distributions (NNGPD) VAIM-CFF: A variational autoencoder inverse mapper solution to Compton form factor extraction from deeply virtual exclusive reactions

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:40:51.580195Z

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.

Observation 9cb85b70-b4c6-47de-9e9a-60f828addf3d · 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 VAIM-CFF: A variational autoencoder inverse mapper solution to Compton form factor extraction from deeply virtual exclusive reactions

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:27:31.363712Z

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.