Paper Citation Record · LEDGER

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models

As of 13 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2412.17970.

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

pith.paper-citation-record.v1
2412.17970 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:12:43.381851Z

measured 23 of 23 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

23 of 23 outbound references displayed

verified exact0
verified fuzzy1
unresolved21
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4e321e14-b6e4-4359-9ae2-ae5a99b319c6 · outbound

This paper cites Which modality should I use - text, motif, or image? : Understanding graphs with large language models.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models Which modality should I use - text, motif, or image? : Understanding graphs with large language models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:12:43.761628Z

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 cce26841-3931-42dd-a016-4695e79722ef · outbound

This paper cites GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T05:12:43.284336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddbb3e12-ee5a-4089-9ef8-8fe37ba65873 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models Measuring Mathematical Problem Solving With the MATH Dataset

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T05:12:43.296105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7abd8f6-3351-44fa-8e1f-cfe5ef9951e2 · outbound

This paper cites Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T05:12:43.308046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efe915b9-89b2-45f7-a9c2-a6c82c355041 · outbound

This paper cites CLEVR-Math: A Dataset for Compositional Language, Visual and Mathematical Reasoning.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models CLEVR-Math: A Dataset for Compositional Language, Visual and Mathematical Reasoning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T05:12:43.313289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 410715b7-b360-46f4-8897-74b558352d82 · outbound

This paper cites Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T05:12:43.323516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ec14147-348a-42af-a786-60faa50d9ce3 · outbound

This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T05:12:43.329468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e205a35-27de-4950-8d71-61de680c88c3 · outbound

This paper cites CELLO: Causal Evaluation of Large Vision-Language Models.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models CELLO: Causal Evaluation of Large Vision-Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T05:12:43.334604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db5fc4f9-a60e-4e3f-8d4b-8368119f7a73 · outbound

This paper cites doi: 10.1162/tacl a 00446.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models doi: 10.1162/tacl a 00446

Reference 15

Resolution: malformed identifier; no resolver link, observed 2026-08-11T05:12:43.339710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbdea996-a866-4be3-bbbd-a7927e5fec55 · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T05:12:43.355171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 882aeca8-3b24-46d1-bc10-8f1058cb3e44 · outbound

This paper cites LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T05:12:43.360460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03a001b8-ab05-49cf-8762-f2a6f9e3f65c · outbound

This paper cites Causal Evaluation of Language Models.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models Causal Evaluation of Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T05:12:43.365536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9d36e33-eac4-4069-b3f4-806d1e71fc7b · outbound

This paper cites URL https: //www.kaggle.com/m/3301.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models URL https: //www.kaggle.com/m/3301

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T05:12:43.370932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cc21b9c-a814-47ff-8612-ebe2951d6a21 · outbound

This paper cites Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T05:12:43.375998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a74b270-bf06-45eb-afd1-f0f17112696a · outbound

This paper cites GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T05:12:43.381851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8517cd0-0800-479a-abca-ef29594ac560 · outbound

This paper cites doi: 10.3115/v1/P15-1142.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models doi: 10.3115/v1/P15-1142

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-11T05:12:43.349932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b50c1fa0-d44f-413b-9fca-8e79188792fe · outbound

This paper cites Mistral 7B.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models Mistral 7B

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-11T05:12:43.301848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44acbef8-94bc-49bf-896c-66c3d8321ee3 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models Training Verifiers to Solve Math Word Problems

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-11T05:12:43.272640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1388eede-7ba2-46c9-989c-07deafe7eef6 · outbound

This paper cites doi: 10.18653/v1/2020.emnlp-main.89.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models doi: 10.18653/v1/2020.emnlp-main.89

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-11T05:12:43.344468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 839995f1-f280-4122-8ade-a246f0db9a3c · outbound

This paper cites Qwen Technical Report.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models Qwen Technical Report

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T05:12:43.260483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6152efc-e87d-4250-ac75-cc54b726fc34 · outbound

This paper cites Evaluating Large Language Models on Graphs: Performance Insights and Comparative Analysis.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models Evaluating Large Language Models on Graphs: Performance Insights and Comparative Analysis

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T05:12:43.318435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac627b00-9b4d-48eb-baa4-a5df380691f4 · outbound

This paper cites The Essential Role of Causality in Foundation World Models for Embodied AI.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models The Essential Role of Causality in Foundation World Models for Embodied AI

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T05:12:43.289901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54801bf9-0f58-4a8c-87cf-6bfa13526d57 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T05:12:43.266768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.