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Paper Citation Record · LEDGER

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data

As of 20 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2507.05651.

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

pith.paper-citation-record.v1
2507.05651 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

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measured 36 of 36 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

36 of 36 outbound references displayed

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External citation measurements

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Outbound references

Observation 05ab8a26-290e-4638-aa6d-c31e9b50c6d7 · outbound

This paper cites Drivers of economic and financial integration: A machine learning approach.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Drivers of economic and financial integration: A machine learning approach

Reference 1

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Observation feed0f52-5552-471c-a40e-03f1e50711c4 · outbound

This paper cites Deep learning-driven forecast- ing of Moroccan FDI: an LSTM-based approach.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Deep learning-driven forecast- ing of Moroccan FDI: an LSTM-based approach

Reference 7

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Observation db197bb8-4f9a-42b5-815f-9db7fbe1bfbe · outbound

This paper cites Europe and central asia economic update, spring 2022: War in the re- gion.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Europe and central asia economic update, spring 2022: War in the re- gion

Reference 8

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Observation e19dac38-5050-42c0-af7b-4bf3362fa630 · outbound

This paper cites Revisiting deep learning models for tabular data.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Revisiting deep learning models for tabular data

Reference 10

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Observation 6155bcf3-7855-4dc6-828b-323e681fc16b · outbound

This paper cites Deep residual learning for image recog- nition.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Deep residual learning for image recog- nition

Reference 11

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Observation b48aa1fb-eaea-4e67-a8ff-ab0c17f66b65 · outbound

This paper cites an unresolved cited work.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Unresolved cited work

Reference 12

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Observation 8e4b64b4-75cb-42e8-9d0a-20d7b8a1cf9b · outbound

This paper cites LightGBM: a highly efficient gradient boost- ing decision tree.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data LightGBM: a highly efficient gradient boost- ing decision tree

Reference 13

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Observation 24bc608d-8051-4ac7-80be-a36d87ff649e · outbound

This paper cites CatBoost: unbiased boosting with categor- ical features.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data CatBoost: unbiased boosting with categor- ical features

Reference 18

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Observation ad585a5e-91a8-49ee-bbca-fecdd62792e4 · outbound

This paper cites Prediction of foreign di- rect investment: An application of long short-term mem- ory.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Prediction of foreign di- rect investment: An application of long short-term mem- ory

Reference 20

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Observation 9d123db2-9962-4cf1-b7a6-6971700016df · outbound

This paper cites Trend prediction of FDI based on the intervention model and ARIMA-GARCH-M model.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Trend prediction of FDI based on the intervention model and ARIMA-GARCH-M model

Reference 21

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Observation 73c22239-e403-4dcd-8480-9faafc320cd0 · outbound

This paper cites Primer of applied regression and analysis of variance.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Primer of applied regression and analysis of variance

Reference 23

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Observation b420c66b-80cf-46f9-bd9b-1d42a3dccfc2 · outbound

This paper cites A Survey on Deep Tabular Learning.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data A Survey on Deep Tabular Learning

Reference 25

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Observation a40e264f-a89c-4ae2-ad91-b63f55c28928 · outbound

This paper cites Autoint: Automatic feature interaction learning via self-attentive neural networks.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Autoint: Automatic feature interaction learning via self-attentive neural networks

Reference 26

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Observation 546e8fe1-b36f-4f82-b017-8ac904228c53 · outbound

This paper cites Modeling and fore- casting foreign direct investment into Brazil with ARIMA.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Modeling and fore- casting foreign direct investment into Brazil with ARIMA

Reference 27

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Observation 20286d7b-9e24-4417-be09-6e0e16039e90 · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 30

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Observation 90471dcf-9b5c-4592-bcce-527511d4bc4d · outbound

This paper cites Determinants of judicial effi- ciency: a survey.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Determinants of judicial effi- ciency: a survey

Reference 31

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Observation 2a494e68-af0d-4bda-80f5-35211b9c04d0 · outbound

This paper cites Unctad insights: Forecasting global FDI: A panel data approach.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Unctad insights: Forecasting global FDI: A panel data approach

Reference 32

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Observation 4ebf6911-ab11-4515-9eda-242c0cb40192 · outbound

This paper cites ST- ExpertNet: A Deep Expert Framework for Traffic Predic- tion.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data ST- ExpertNet: A Deep Expert Framework for Traffic Predic- tion

Reference 33

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Observation fb95758b-cd96-4c69-a799-c21ab05ebde9 · outbound

This paper cites Global economic prospects, june.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Global economic prospects, june

Reference 34

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Observation 730091f2-41f4-44d7-b179-4092f1aed92e · outbound

This paper cites A closer look at deep learning on tabular data.arXiv preprint arXiv:2407.00956,.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data A closer look at deep learning on tabular data.arXiv preprint arXiv:2407.00956,

Reference 35

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Observation abcfae37-511d-462c-abfc-08c492477cb9 · outbound

This paper cites Modeling and prediction using an artificial neural network to study the impact of foreign direct investment on the growth rate/a case study of the state of qatar.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Modeling and prediction using an artificial neural network to study the impact of foreign direct investment on the growth rate/a case study of the state of qatar

Reference 36

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Observation 101fecc0-030b-4bf0-b24c-f561e161b836 · outbound

This paper cites Transforming our world: The 2030 agenda for sustainable development.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Transforming our world: The 2030 agenda for sustainable development

Reference 1987

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Observation ec5fd82a-ace0-4960-8abe-5b16709fa4fb · outbound

This paper cites SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 1990

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Observation da23e135-d3a7-42d2-b043-ef7c2489a7b8 · outbound

This paper cites Layer Normalization.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Layer Normalization

Reference 2000

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Observation a839414a-14e2-4e23-a9b8-ad2b0d7d98e1 · outbound

This paper cites Governments manipulate offi- cial statistics: Institutions matter.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Governments manipulate offi- cial statistics: Institutions matter

Reference 2001

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City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Unresolved cited work

Reference 2011

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Observation bb23afe7-e434-4a92-b367-be874395945a · outbound

This paper cites Comparison between artificial neural network and linear model prediction performance for FDI disparity and the growth rate of companies in hun- garian counties.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Comparison between artificial neural network and linear model prediction performance for FDI disparity and the growth rate of companies in hun- garian counties

Reference 2012

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Observation 6657c14f-4e68-4cef-8c5c-8df6243e5452 · outbound

This paper cites Understanding pro- cedural justice and its impact on business organizations.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Understanding pro- cedural justice and its impact on business organizations

Reference 2015

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 29498e2a-3ae8-4109-9340-de721a9eccd5 · outbound

This paper cites Arithmetic feature inter- action is necessary for deep tabular learning.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Arithmetic feature inter- action is necessary for deep tabular learning

Reference 2016

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Source-reported events for the cited work

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Observation a561f44d-ff3b-4174-8ab5-424947e34b4e · outbound

This paper cites Papadopoulos, 2023] Irene Kilanioti and George A.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Papadopoulos, 2023] Irene Kilanioti and George A

Reference 2017

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3ab7742b-2276-4118-96ee-147980da0114 · outbound

This paper cites Modelling and forecasting foreign di- rect investment: A comparative application of machine learning based evolutionary algorithms hybrid models.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Modelling and forecasting foreign di- rect investment: A comparative application of machine learning based evolutionary algorithms hybrid models

Reference 2018

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Observation f891174c-f250-46b3-b05e-5ce651aaef64 · outbound

This paper cites XGBoost: A scalable tree boosting system.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data XGBoost: A scalable tree boosting system

Reference 2019

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3f582317-7a7d-4061-a282-d01ae7d2a2f5 · outbound

This paper cites Random forests.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Random forests

Reference 2021

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a63a9f39-f536-4705-89e4-55a74e45cffe · outbound

This paper cites Friedman.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Friedman

Reference 2022

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ebe2f30e-508b-4b91-be8c-f5e83a673bfd · outbound

This paper cites Kingma and Jimmy Ba.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Kingma and Jimmy Ba

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:26:09.941481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:26:04.291320Z digest=sha256:1721c6e4c326771b171b76ead0a43d37aa9b5ed86ed2b55d57702e0c169f2695

Observation 995deeb8-6ecf-4404-99e2-429f347a8677 · outbound

This paper cites an unresolved cited work.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data Unresolved cited work

Reference 2024

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:26:11.796354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:26:03.454979Z digest=sha256:30d5fa7aa754452ef5d14aa43dc6150a6b633826a72fedc0a7c846fba4c765cc

Pith citing papers

No inbound Pith citation observations are available.