Paper Citation Record · LEDGER

A Deep Learning Framework for Disentangling Triangle Singularity and Pole-Based Enhancements

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.18265.

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

pith.paper-citation-record.v1
2403.18265 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:13:13.790199Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:50:00.794517Z

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 42b88a2d-e2bb-4486-87cb-4ee9153a4281 · inbound

Analysis of hidden-charm pentaquarks as triangle singularities via deep learning cites this paper.

Analysis of hidden-charm pentaquarks as triangle singularities via deep learning A Deep Learning Framework for Disentangling Triangle Singularity and Pole-Based Enhancements

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T15:39:34.334732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33a7a4fa-98a5-49bd-9724-11c98e1aa905 · inbound

Line shape analysis of $\Lambda(1405)$ in $\gamma p \rightarrow K^+\Sigma^-\pi^+$ reaction using convolutional neural network cites this paper.

Line shape analysis of $\Lambda(1405)$ in $\gamma p \rightarrow K^+\Sigma^-\pi^+$ reaction using convolutional neural network A Deep Learning Framework for Disentangling Triangle Singularity and Pole-Based Enhancements

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:43:39.500667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24b3da50-e9f2-415f-beec-a2f1a24158cf · 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 A Deep Learning Framework for Disentangling Triangle Singularity and Pole-Based Enhancements

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-15T18:13:13.790199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80e6b9cd-5bb1-4127-a9cf-5ef141d4747d · inbound

Study of the molecular Properties of the $P_c$ and $P_{cs}$ States cites this paper.

Study of the molecular Properties of the $P_c$ and $P_{cs}$ States A Deep Learning Framework for Disentangling Triangle Singularity and Pole-Based Enhancements

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:55:50.431691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 25351ee1-538f-4c23-90ec-efc0c1b6d60c · inbound

The $a_1(1420)$ in a Unitary Coupled-Channel Three-Body Approach cites this paper.

The $a_1(1420)$ in a Unitary Coupled-Channel Three-Body Approach A Deep Learning Framework for Disentangling Triangle Singularity and Pole-Based Enhancements

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:50:00.796236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 753e8cc2-544d-46e0-aa35-3e83b3dc4bc1 · inbound

The $a_1(1420)$ in a Unitary Coupled-Channel Three-Body Approach cites this paper.

The $a_1(1420)$ in a Unitary Coupled-Channel Three-Body Approach A Deep Learning Framework for Disentangling Triangle Singularity and Pole-Based Enhancements

Reference 72

Resolution: unresolved; no resolver link, observed 2026-07-14T17:25:05.536989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.