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Paper Citation Record · LEDGER

Model independent analysis of coupled-channel scattering: a deep learning approach

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2105.04898.

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

pith.paper-citation-record.v1
2105.04898 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:13:13.803063Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T21:15:56.249281Z

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 18428c76-8bbf-4e47-8dfd-556f93950798 · inbound

Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics cites this paper.

Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics Model independent analysis of coupled-channel scattering: a deep learning approach

Reference 80

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:15:56.254699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T21:15:54.534044Z digest=sha256:28b91a79b7e61445d9c485038960d46d673b96726d043d66d370873cdc470460

Observation 2834bcf6-6151-4df8-af2e-7974503254f8 · inbound

Deep Neural Network Driven Simulation Based Inference Method for Pole Position Estimation under Model Misspecification cites this paper.

Deep Neural Network Driven Simulation Based Inference Method for Pole Position Estimation under Model Misspecification Model independent analysis of coupled-channel scattering: a deep learning approach

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-15T18:13:13.803063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:13:13.803063Z digest=sha256:5eb3b88d31acf680418b6d38b921c0a3d268afc606a3ec42afb9e0b250d2072d

Observation 1b39e3df-422d-4f67-891d-2f96be1948a1 · inbound

A Novel Implementation of the Matrix Element Method at Next-to-Leading Order for the Measurement of the Higgs Self-Coupling ${\lambda}_{3H}$ cites this paper.

A Novel Implementation of the Matrix Element Method at Next-to-Leading Order for the Measurement of the Higgs Self-Coupling ${\lambda}_{3H}$ Model independent analysis of coupled-channel scattering: a deep learning approach

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-03T05:27:31.354990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:27:31.354990Z digest=sha256:d633208206569a675b59a7da0a9a7a3273e0950fcc2fd6eba725202c955062f3