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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:43:39.500667Z

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 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.

source=pdf_text observed=2026-08-07T10:43:39.500667Z digest=sha256:8086f51969bc7edb82810070e4e454d8db55bf308cb7a37c4821d8ac7159dbbe

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T20:30:25.241387Z digest=sha256:b810a97e38871deb32c3f74cc59110ac532c57667201b0216274d469e928f68f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-25T23:21:53.393768Z digest=sha256:6d4b8dadd0e7380c296f515e1dd0203732bc29ee84394550dcc30974234d8e0c

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.

source=pdf_text observed=2026-07-14T17:25:05.536989Z digest=sha256:449d2cac71445c7343fb4aa640ad70ebf8623ff9a060750a3fe8ccaeea9e4ca8