Paper Citation Record · LEDGER

LegiGPT: Party Politics and Transport Policy with Large Language Model

As of 13 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2506.16692.

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

pith.paper-citation-record.v1
2506.16692 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:42:13.975230Z

measured 43 of 43 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

verified exact1
verified fuzzy30
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 49b98a62-8b1e-4222-ac8e-ec4db4e9ccda · outbound

This paper cites Political competition, party polarization, and government performance.Public Choice, 161:427–450, 2014.

LegiGPT: Party Politics and Transport Policy with Large Language Model Political competition, party polarization, and government performance.Public Choice, 161:427–450, 2014

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.561602Z

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.

Observation f6672c63-8e9d-43e3-8590-041e75e64865 · outbound

This paper cites Conservatives and progressives in south korea.

LegiGPT: Party Politics and Transport Policy with Large Language Model Conservatives and progressives in south korea

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.544746Z

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.

Observation fcb6fe64-e105-422f-b760-a4bb847b897e · outbound

This paper cites an unresolved cited work.

LegiGPT: Party Politics and Transport Policy with Large Language Model Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:42:14.513717Z

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.

Observation 1dfa496d-4207-498a-becb-1f892dee3972 · outbound

This paper cites Political partisanship and transportation reform.

LegiGPT: Party Politics and Transport Policy with Large Language Model Political partisanship and transportation reform

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.497961Z

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.

Observation 105aace0-f847-431c-a1a9-08e807e5ab19 · outbound

This paper cites Consensus planning in transport: The case of vancouver’s transportation plebiscite.

LegiGPT: Party Politics and Transport Policy with Large Language Model Consensus planning in transport: The case of vancouver’s transportation plebiscite

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.488512Z

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.

Observation d16fd771-64ee-438a-9930-b7d34000ce45 · outbound

This paper cites The politics of collective public participation in transportation decision-making.

LegiGPT: Party Politics and Transport Policy with Large Language Model The politics of collective public participation in transportation decision-making

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.474404Z

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.

Observation 517e06d6-88d6-4e5f-a641-5e40af2b889d · outbound

This paper cites State legislator views on funding 21st century transportation: Important problems, missed connections.Transport Policy, 150:206– 218, 2024.

LegiGPT: Party Politics and Transport Policy with Large Language Model State legislator views on funding 21st century transportation: Important problems, missed connections.Transport Policy, 150:206– 218, 2024

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.464337Z

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.

Observation 548525ed-f170-42cf-8b63-bae02834080e · outbound

This paper cites Christenson.

LegiGPT: Party Politics and Transport Policy with Large Language Model Christenson

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.453281Z

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.

Observation 33cd980e-32c9-4588-b48f-20d76c01a883 · outbound

This paper cites What does america spend on transportation and infrastructure? is infrastruc- ture improving?, 2024.

LegiGPT: Party Politics and Transport Policy with Large Language Model What does america spend on transportation and infrastructure? is infrastruc- ture improving?, 2024

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.440871Z

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.

Observation 26e9f2d4-9750-42b7-b108-4d6f7c55ed79 · outbound

This paper cites Bipartisan infrastructure law (bil) / infrastructure investment and jobs act (iija), 2023.

LegiGPT: Party Politics and Transport Policy with Large Language Model Bipartisan infrastructure law (bil) / infrastructure investment and jobs act (iija), 2023

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.428010Z

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.

Observation 24266dc4-22d4-4955-a695-2845e99648d5 · outbound

This paper cites Public support of transport policy instruments, perceived transport quality and satisfaction with democracy.

LegiGPT: Party Politics and Transport Policy with Large Language Model Public support of transport policy instruments, perceived transport quality and satisfaction with democracy

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.417798Z

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.

Observation 4081de3a-0176-4200-82b8-f3195304679e · outbound

This paper cites Toward human-centric urban infrastructure: Text mining for social media data to identify the public perception of covid-19 policy in transportation hubs.

LegiGPT: Party Politics and Transport Policy with Large Language Model Toward human-centric urban infrastructure: Text mining for social media data to identify the public perception of covid-19 policy in transportation hubs

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.406867Z

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.

Observation 5e3b7959-d77e-435b-a69a-daa1898b36bc · outbound

This paper cites Investigation of critical factors for future-proofed trans- portation infrastructure planning using topic modeling and association rule mining.

LegiGPT: Party Politics and Transport Policy with Large Language Model Investigation of critical factors for future-proofed trans- portation infrastructure planning using topic modeling and association rule mining

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.396009Z

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.

Observation cb4a3224-61c4-4c77-984d-193b8ba303b2 · outbound

This paper cites an unresolved cited work.

LegiGPT: Party Politics and Transport Policy with Large Language Model Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:42:14.386027Z

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.

Observation a5f9449e-d532-4c5d-aba6-a69d8cfaf633 · outbound

This paper cites Exploring the evolution trends of port integration policy in china by a text mining approach.

LegiGPT: Party Politics and Transport Policy with Large Language Model Exploring the evolution trends of port integration policy in china by a text mining approach

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.375574Z

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.

Observation a3665957-c013-40f4-ab7b-03e7b89f7af3 · outbound

This paper cites Deciphering Political Entity Sentiment in News with Large Language Models: Zero-Shot and Few-Shot Strategies.

LegiGPT: Party Politics and Transport Policy with Large Language Model Deciphering Political Entity Sentiment in News with Large Language Models: Zero-Shot and Few-Shot Strategies

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:42:14.080192Z

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.

Observation 6e7a0e9a-ca0f-4e91-b02f-a130f3e957ed · outbound

This paper cites Metroberta: Leveraging traditional customer rela- tionship management data to develop a transit-topic-aware language model.

LegiGPT: Party Politics and Transport Policy with Large Language Model Metroberta: Leveraging traditional customer rela- tionship management data to develop a transit-topic-aware language model

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.362981Z

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.

Observation 418d6e07-4f98-472b-b097-2da8bfec8f6a · outbound

This paper cites A Large Language Model for Feasible and Diverse Population Synthesis.

LegiGPT: Party Politics and Transport Policy with Large Language Model A Large Language Model for Feasible and Diverse Population Synthesis

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:13.704027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa155f7f-1f9a-4fe3-a1d9-20c7c3a00664 · outbound

This paper cites Large language models outperform expert coders and supervised classi- fiers at annotating political social media messages.

LegiGPT: Party Politics and Transport Policy with Large Language Model Large language models outperform expert coders and supervised classi- fiers at annotating political social media messages

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.349765Z

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.

Observation c8c6c52a-f505-48c3-bbd4-b3d13d65774c · outbound

This paper cites Linear Representations of Political Perspective Emerge in Large Language Models.

LegiGPT: Party Politics and Transport Policy with Large Language Model Linear Representations of Political Perspective Emerge in Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:13.712971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5576a05-1272-4932-a1ea-6e3fa1a631f8 · outbound

This paper cites an unresolved cited work.

LegiGPT: Party Politics and Transport Policy with Large Language Model Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:42:14.338918Z

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.

Observation acadbdcf-afd3-4e6d-b2b7-49f59854ef35 · outbound

This paper cites Emergent Abilities of Large Language Models.

LegiGPT: Party Politics and Transport Policy with Large Language Model Emergent Abilities of Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:13.728260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8821e2a7-84e2-4ef4-bf46-c2998aa7842f · outbound

This paper cites an unresolved cited work.

LegiGPT: Party Politics and Transport Policy with Large Language Model Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:42:14.327168Z

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.

Observation 16685552-3acb-4dec-a0ff-545af35256a0 · outbound

This paper cites Zhang, D.

LegiGPT: Party Politics and Transport Policy with Large Language Model Zhang, D

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.316246Z

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.

Observation 96915ae8-5c7e-481f-a9e7-15bbc7b8ccc6 · outbound

This paper cites Public data portal, 2024.

LegiGPT: Party Politics and Transport Policy with Large Language Model Public data portal, 2024

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.304741Z

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.

Observation 730f1750-72ae-4b94-bb0c-12c3803c298d · outbound

This paper cites Could We Have Had Better Multilingual LLMs If English Was Not the Central Language?.

LegiGPT: Party Politics and Transport Policy with Large Language Model Could We Have Had Better Multilingual LLMs If English Was Not the Central Language?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:13.788102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 993ddb25-7dd8-444e-861b-abd505b6e0cb · outbound

This paper cites A unified approach to interpreting model predictions.

LegiGPT: Party Politics and Transport Policy with Large Language Model A unified approach to interpreting model predictions

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:13.792287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e5bfbea-9c41-42f6-84b9-e23011652696 · outbound

This paper cites Deep multimodal learning for traffic speed estimation combining dedicated short-range communication and vehicle detection system data.

LegiGPT: Party Politics and Transport Policy with Large Language Model Deep multimodal learning for traffic speed estimation combining dedicated short-range communication and vehicle detection system data

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.282277Z

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.

Observation 83cf21f2-d219-489e-af9b-31f187b40591 · outbound

This paper cites Mlp- mixer: An all-mlp architecture for vision.

LegiGPT: Party Politics and Transport Policy with Large Language Model Mlp- mixer: An all-mlp architecture for vision

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.270503Z

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.

Observation afca219c-689c-483e-992a-747c5379d9e7 · outbound

This paper cites Random forests.

LegiGPT: Party Politics and Transport Policy with Large Language Model Random forests

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:13.835352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 415cc374-63b0-41e5-b226-faf467bbe0d1 · outbound

This paper cites Lightgbm: A highly efficient gradient boosting decision tree.

LegiGPT: Party Politics and Transport Policy with Large Language Model Lightgbm: A highly efficient gradient boosting decision tree

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:13.847824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7928aa5-9d89-415d-8d6d-65ca87d96536 · outbound

This paper cites Xgboost: A scalable tree boosting system.

LegiGPT: Party Politics and Transport Policy with Large Language Model Xgboost: A scalable tree boosting system

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.244159Z

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.

Observation caeb4cf3-100a-4c6c-9663-030b41613272 · outbound

This paper cites On the possibility of short-term traffic prediction during disaster with machine learning approaches: An exploratory analysis.

LegiGPT: Party Politics and Transport Policy with Large Language Model On the possibility of short-term traffic prediction during disaster with machine learning approaches: An exploratory analysis

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.229886Z

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.

Observation 236abfdb-24b5-4296-9660-bd6844cd2934 · outbound

This paper cites Container terminal daily gate in and gate out forecasting using machine learning methods.

LegiGPT: Party Politics and Transport Policy with Large Language Model Container terminal daily gate in and gate out forecasting using machine learning methods

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.216311Z

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.

Observation 9bb0b1b2-f8f6-405c-8b0b-fd1851029d58 · outbound

This paper cites explainable dea approach for evaluating performance of public transport origin- destination pairs.

LegiGPT: Party Politics and Transport Policy with Large Language Model explainable dea approach for evaluating performance of public transport origin- destination pairs

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.205325Z

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.

Observation 29172e70-2a4f-4f52-8e18-a99a668d9541 · outbound

This paper cites Impact of road transport system on groundwater qual- ity inferred from explainable artificial intelligence (xai).

LegiGPT: Party Politics and Transport Policy with Large Language Model Impact of road transport system on groundwater qual- ity inferred from explainable artificial intelligence (xai)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.194301Z

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.

Observation a71b7796-3027-4c0e-a3f2-3de680be3a8b · outbound

This paper cites an unresolved cited work.

LegiGPT: Party Politics and Transport Policy with Large Language Model Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-06T23:42:14.176099Z

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.

Observation e5c0e0d0-844a-47ee-a187-82733e25fdb9 · outbound

This paper cites Estimating express train preference of urban railway passengers based on extreme gradient boosting (xgboost) using smart card data.

LegiGPT: Party Politics and Transport Policy with Large Language Model Estimating express train preference of urban railway passengers based on extreme gradient boosting (xgboost) using smart card data

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.161903Z

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.

Observation ecc33b0e-9923-48a3-bd24-33027eb95a5a · outbound

This paper cites Experimenting xgboost algorithm for prediction and classification of different datasets.

LegiGPT: Party Politics and Transport Policy with Large Language Model Experimenting xgboost algorithm for prediction and classification of different datasets

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.147847Z

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.

Observation aa5d42b3-4a5d-456d-b00c-8de72f05a706 · outbound

This paper cites Would americans pay more in taxes for better transportation? answers from seven years of national survey data.

LegiGPT: Party Politics and Transport Policy with Large Language Model Would americans pay more in taxes for better transportation? answers from seven years of national survey data

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.136385Z

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.

Observation 02008add-a6e0-4d42-8a0a-a3ce9cafb956 · outbound

This paper cites Policy feedback in an age of polarization, 2019.

LegiGPT: Party Politics and Transport Policy with Large Language Model Policy feedback in an age of polarization, 2019

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.125367Z

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.

Observation 813d3da6-e699-4544-89c5-75bbcfe750e2 · outbound

This paper cites The politics of sustainable development opposition: State legislative efforts to stop the united nation’s agenda 21 in the united states.

LegiGPT: Party Politics and Transport Policy with Large Language Model The politics of sustainable development opposition: State legislative efforts to stop the united nation’s agenda 21 in the united states

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.105767Z

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.

Observation 8c90bf49-7213-493a-aa83-e1b7ffc2bb2d · outbound

This paper cites Towards sustainable neighbourhoods? tensions and heterogeneous transport priorities among suburban residents.

LegiGPT: Party Politics and Transport Policy with Large Language Model Towards sustainable neighbourhoods? tensions and heterogeneous transport priorities among suburban residents

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:14.093423Z

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.

Pith citing papers

No inbound Pith citation observations are available.