Paper Citation Record · LEDGER

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models

As of 12 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 3 inbound Pith citation observations for arXiv:2412.06831.

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

pith.paper-citation-record.v1
2412.06831 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:45:05.514765Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:28:54.124512Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T20:56:14.116637Z

Reference resolution

40 of 40 outbound references displayed

verified exact5
verified fuzzy1
unresolved30
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a4fee8c0-f591-45e6-8941-23d0e1c8fe89 · outbound

This paper cites Text2SQL is Not Enough: Unifying AI and Databases with TAG.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Text2SQL is Not Enough: Unifying AI and Databases with TAG

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.256199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f8c12b5-0f10-462c-b737-6f6aad80509d · outbound

This paper cites Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.283962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b31b6e67-7bc0-43e2-891e-36a2122aac61 · outbound

This paper cites Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.290901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db299cb2-6cc6-42c4-bbb5-26d07f6b7068 · outbound

This paper cites Prompting Is All You Need: Automated Android Bug Replay with Large Language Models.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Prompting Is All You Need: Automated Android Bug Replay with Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.311961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14c6b2b5-aa20-483d-bf3b-04b8f1545e27 · outbound

This paper cites Drive Like a Human: Rethinking Autonomous Driving with Large Language Models.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Drive Like a Human: Rethinking Autonomous Driving with Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.327690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64fd9cb0-7150-4e32-860c-ff6671deff2a · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.334897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28b08af6-99d0-4b57-af73-d079e0c12192 · outbound

This paper cites Language Models Can Teach Themselves to Program Better.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Language Models Can Teach Themselves to Program Better

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.345612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 913e8ffb-7a02-4032-95d4-c90be71ea6bc · outbound

This paper cites Measuring Massive Multitask Language Understanding.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Measuring Massive Multitask Language Understanding

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.353067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0be721cf-ece1-46ed-a7f4-f02d5aca91bd · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.359801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a1d813a-47a5-45a7-b1f4-05c8f0dc1f1c · outbound

This paper cites From Words to Code: Harnessing Data for Program Synthesis from Natural Language.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models From Words to Code: Harnessing Data for Program Synthesis from Natural Language

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T20:45:05.775819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4eec8799-cb98-44d5-a154-9be1e1db8fe8 · outbound

This paper cites an unresolved cited work.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Unresolved cited work

Reference 19

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T20:45:06.513272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 304a9443-dc1c-4ff1-979b-70671ea1f29b · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.386928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d84a943-134e-4cba-b213-15bb0f9bc987 · outbound

This paper cites GTFS2STN: Analyzing GTFS Transit Data by Generating Spatiotemporal Transit Network.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models GTFS2STN: Analyzing GTFS Transit Data by Generating Spatiotemporal Transit Network

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T20:45:06.421262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9c526f09-cfbd-427b-885e-63d541fb8ae4 · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Lost in the Middle: How Language Models Use Long Contexts

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.398719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41dfd356-e501-4289-ac1b-174e25a3ee53 · outbound

This paper cites IEEE Transactions on Intelligent Transportation Systems , 1–16URL:https://ieeexplore.ieee.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models IEEE Transactions on Intelligent Transportation Systems , 1–16URL:https://ieeexplore.ieee

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.404051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8104182-264e-4695-a3f7-6ac3fb957b52 · outbound

This paper cites Large Language Models in Analyzing Crash Narratives -- A Comparative Study of ChatGPT, BARD and GPT-4.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Large Language Models in Analyzing Crash Narratives -- A Comparative Study of ChatGPT, BARD and GPT-4

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.409148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fefbcba-e8f8-42ef-9840-ba0436b26cd0 · outbound

This paper cites GPT-4 Technical Report.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models GPT-4 Technical Report

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.414403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3e46a19-ae77-4440-a727-9ec07d78e20b · outbound

This paper cites Public Transport URL: https: //link.springer.com/10.1007/s12469-024-00362-x, doi:10.1007/s12469-024-00362-x.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Public Transport URL: https: //link.springer.com/10.1007/s12469-024-00362-x, doi:10.1007/s12469-024-00362-x

Reference 26

Resolution: verified exact; doi, observed 2026-08-11T20:45:05.660938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 244a4f14-97bb-4532-ac7d-4e8fe7b239a2 · outbound

This paper cites International Journal of Geographical Information Science 34, 367–392.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models International Journal of Geographical Information Science 34, 367–392

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.426942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5970bf3b-ee1c-4b82-a8ab-c3b291dde95c · outbound

This paper cites Evaluating In-Context Learning of Libraries for Code Generation.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Evaluating In-Context Learning of Libraries for Code Generation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.434335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 235ae20d-8183-44f7-a582-709d4ec85c90 · outbound

This paper cites Journal of Geographical Systems 25, 453–466.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Journal of Geographical Systems 25, 453–466

Reference 29

Resolution: verified exact; doi, observed 2026-08-11T20:45:05.642257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2ab56c05-e17a-4375-a41c-f18bf046344c · outbound

This paper cites Findings URL: https://findingspress.org/article/ 21262-r5r-rapid-realistic-routing-on-multimodal-transport-networks-with-r-5-in-r , doi:10.32866/001c.21262.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Findings URL: https://findingspress.org/article/ 21262-r5r-rapid-realistic-routing-on-multimodal-transport-networks-with-r-5-in-r , doi:10.32866/001c.21262

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.449005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75d154f8-6dfb-4a9e-aa68-8f93f1c41c91 · outbound

This paper cites In-Context Impersonation Reveals Large Language Models' Strengths and Biases.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models In-Context Impersonation Reveals Large Language Models' Strengths and Biases

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.461790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55bb8549-bdfa-48f7-8519-2dbbf955c04d · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.466956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 414d6eb1-d88b-4cf0-bead-9c99c8f77ad4 · outbound

This paper cites Benchmarking the Capabilities of Large Language Models in Transportation System Engineering: Accuracy, Consistency, and Reasoning Behaviors.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Benchmarking the Capabilities of Large Language Models in Transportation System Engineering: Accuracy, Consistency, and Reasoning Behaviors

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.472618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85527495-3db4-424e-a638-814b03781653 · outbound

This paper cites Transit Pulse: Utilizing Social Media as a Source for Customer Feedback and Information Extraction with Large Language Model.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Transit Pulse: Utilizing Social Media as a Source for Customer Feedback and Information Extraction with Large Language Model

Reference 35

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T20:45:06.182596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4cdea833-b978-4d1b-a103-ebaa4e3ec3a8 · outbound

This paper cites ExpertPrompting: Instructing Large Language Models to be Distinguished Experts.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.484869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8243dec-9105-457d-9883-7c5c7f6d9546 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models ReAct: Synergizing Reasoning and Acting in Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.502804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5734fc91-3cb4-4e33-bdff-1a64793afca8 · outbound

This paper cites CERT: Continual Pre-Training on Sketches for Library-Oriented Code Generation.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models CERT: Continual Pre-Training on Sketches for Library-Oriented Code Generation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.509612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 196c3f29-bf62-44fc-a224-29cc6606879f · outbound

This paper cites ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications?.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications?

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.514765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3449366-d176-4080-a7e5-450fecf5533b · outbound

This paper cites Information Processing & Management 39, 45–65.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Information Processing & Management 39, 45–65

Reference 2003

Resolution: verified exact; doi, observed 2026-08-11T20:45:06.027415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6ebb21a8-0804-46c5-852c-f305fa59756b · outbound

This paper cites URL: https://sf.streetsblog.org/2010/01/05/ how-google-and-portlands-trimet-set-the-standard-for-open-transit-data.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models URL: https://sf.streetsblog.org/2010/01/05/ how-google-and-portlands-trimet-set-the-standard-for-open-transit-data

Reference 2010

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:45:06.642442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b3923ca4-4703-470f-92c3-01abb3dfa99f · outbound

This paper cites Journal of Public Transportation 19, 18–37.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Journal of Public Transportation 19, 18–37

Reference 2016

Resolution: verified exact; doi, observed 2026-08-11T20:45:05.873732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9b6afbff-16cb-4ebd-9d66-d7cd19c5691d · outbound

This paper cites PLOS ONE 12, e0185333.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models PLOS ONE 12, e0185333

Reference 2017

Resolution: verified exact; doi, observed 2026-08-11T20:45:05.914927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1906ba83-603e-4b26-b7d1-9193db7d7adb · outbound

This paper cites Language Models are Few-Shot Learners.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Language Models are Few-Shot Learners

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.263791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a05d260a-c0a8-4b41-aefb-9d0c49e69c4d · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Training Verifiers to Solve Math Word Problems

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.270158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 291ce507-a8bc-4272-81f0-c9f3f528f826 · outbound

This paper cites Journal of Transport Geography 98, 103218.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Journal of Transport Geography 98, 103218

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.497410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c065ac04-ccde-424e-82d6-ff65e531240e · outbound

This paper cites Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.277185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e96ca122-ae0d-4219-8f05-30135211c3c4 · outbound

This paper cites Large Language Models for Mathematical Reasoning: Progresses and Challenges.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Large Language Models for Mathematical Reasoning: Progresses and Challenges

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.241724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b998c42e-34a9-4772-9b75-df5e0e3a41d3 · outbound

This paper cites Devunuri, S., Lehe, L., 2024b.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Devunuri, S., Lehe, L., 2024b

Reference 6306

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:05.297607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 8d01c7b8-a454-4da5-ba07-896e9aa06ba9 · inbound

Toward LLM-Agent-Based Modeling of Transportation Systems: A Conceptual Framework cites this paper.

Toward LLM-Agent-Based Modeling of Transportation Systems: A Conceptual Framework TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T19:28:54.124512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8877357-17a1-4e78-a652-4e87124786aa · inbound

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications cites this paper.

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:04.622717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93f3d0a5-268d-42f8-9d48-5fe9c921a160 · inbound

Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support cites this paper.

Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:56:14.118079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.