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Paper Citation Record · LEDGER

Meson mass and width: Deep learning approach

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.00448.

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

pith.paper-citation-record.v1
2404.00448 v4

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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:13:13.773838Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T06:40:25.357440Z

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 9f258b93-5bb7-43f5-a25a-dbce17718473 · 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 Meson mass and width: Deep learning approach

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-15T18:13:13.773838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:13:13.773838Z digest=sha256:f8d7b980e2ef4611d36dec561ebeaf1cb5e530bcb24b9e81a1a7c60de2d9ebcd

Observation acd27a3e-22a9-498b-b78e-294140930519 · inbound

Comprehensive Mass Predictions: From Triply Heavy Baryons to Pentaquarks cites this paper.

Comprehensive Mass Predictions: From Triply Heavy Baryons to Pentaquarks Meson mass and width: Deep learning approach

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:40:25.360166Z

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=2026-05-25T06:38:56.109134Z digest=sha256:03e7dff4331032cd240338c8de38decd02e54d3327cf6a6cd1804a693420cebe