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Paper Citation Record · LEDGER

Advanced User Credit Risk Prediction Model using LightGBM, XGBoost and Tabnet with SMOTEENN

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.03497.

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

pith.paper-citation-record.v1
2408.03497 v3

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:11:42.015081Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T22:17:51.311542Z

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 0c07e424-9d63-46b0-a805-6e28767f723e · inbound

Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning cites this paper.

Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning Advanced User Credit Risk Prediction Model using LightGBM, XGBoost and Tabnet with SMOTEENN

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T15:11:42.015081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:11:42.015081Z digest=sha256:f0389a321e57edf86da0c6f5e3acb326ebb4ca7067cf832424f08aa41796fc3b

Observation f489d7b8-de64-45df-8982-b48cd4d522a3 · inbound

AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation cites this paper.

AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation Advanced User Credit Risk Prediction Model using LightGBM, XGBoost and Tabnet with SMOTEENN

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:17:51.318144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T22:17:51.209074Z digest=sha256:b474450320110dee0082c5656cfcea31bb83183d6653ff7a4eb8bee0b961ed22