Paper Citation Record · LEDGER

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models

As of 10 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 5 inbound Pith citation observations for arXiv:2501.18482.

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

pith.paper-citation-record.v1
2501.18482 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:21:56.539146Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:42:12.973876Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T03:55:59.615422Z

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy4
unresolved35
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f324cee-928e-43d3-8888-03da40944949 · outbound

This paper cites Matplot library for visualization.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Matplot library for visualization

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:21:56.850238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1959ee53-fc92-499e-b3f8-34b084da0c15 · outbound

This paper cites Network Analysis in Python using NetworkX.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Network Analysis in Python using NetworkX

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:21:56.839878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7c94ded3-71ac-4737-a761-b2c52e5cb497 · outbound

This paper cites PyGraphVis library for visualization.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models PyGraphVis library for visualization

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:21:56.829613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dc010e0b-bab9-48be-8e72-eba0465e7f26 · outbound

This paper cites Python AST module.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Python AST module

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:21:56.820469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fcbaf4df-8125-42ec-8e4e-b1fae3c0c240 · outbound

This paper cites AVATAR: A Parallel Corpus for Java-Python Program Translation.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models AVATAR: A Parallel Corpus for Java-Python Program Translation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.427898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13a0a027-1f62-4934-bd2b-626125e9f274 · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.431762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ab8f9af-5c62-4234-ac38-9b84c30e6e08 · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.434864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df87e013-f5ec-4840-889c-f11569a01603 · outbound

This paper cites an unresolved cited work.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-09T23:21:56.810440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e747132f-65df-4e57-87ff-44d5d9f65799 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Evaluating Large Language Models Trained on Code

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.440667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1989865e-49a2-4bb2-9545-47c5a383c528 · outbound

This paper cites an unresolved cited work.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-09T23:21:56.801207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fba8acc4-7048-44c9-8e6f-febed18b0c7f · outbound

This paper cites SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.448691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd9a4eb1-6655-4eb1-aef8-a952d0218862 · outbound

This paper cites an unresolved cited work.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.452063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7af18fb2-1aa6-40bd-930c-1fc627f756be · outbound

This paper cites CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.455140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 651b9185-9680-4781-b51a-9fc32e24c9cf · outbound

This paper cites Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.458813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25775b9d-291a-4cc8-a2c4-57b0c2623bf3 · outbound

This paper cites MathPrompter: Mathematical Reasoning using Large Language Models.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models MathPrompter: Mathematical Reasoning using Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.461677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 947a8b9c-2fad-4f60-b110-49fd7d28c410 · outbound

This paper cites What Do Learning Dynamics Reveal About Generalization in LLM Reasoning?.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models What Do Learning Dynamics Reveal About Generalization in LLM Reasoning?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.464819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a6ca2de-8530-4182-aefb-a6b98c0a60f1 · outbound

This paper cites Code Simulation Challenges for Large Language Models.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Code Simulation Challenges for Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.468480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7b3f050-dbff-483e-a258-9dcf214bf9de · outbound

This paper cites Code Execution with Pre-trained Language Models.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Code Execution with Pre-trained Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.471608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8e7c7ef-c8c1-479e-9358-085747c252a5 · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models StarCoder 2 and The Stack v2: The Next Generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.474678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc5342ba-1455-4195-a0a0-a2b33f8c0edc · outbound

This paper cites WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.477744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00b7f258-38fe-4478-b996-f782f12b6120 · outbound

This paper cites an unresolved cited work.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.480887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3913e828-59f5-4af1-9445-7a4a202b8e22 · outbound

This paper cites Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.487426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7df6ee15-98ac-4396-9348-111bc9d36de6 · outbound

This paper cites Granite Code Models: A Family of Open Foundation Models for Code Intelligence.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Granite Code Models: A Family of Open Foundation Models for Code Intelligence

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.490339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 712134d3-4605-45be-9379-c90766fe2188 · outbound

This paper cites NExT: Teaching Large Language Models to Reason about Code Execution.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models NExT: Teaching Large Language Models to Reason about Code Execution

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.493230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a85b35e0-c260-4b29-96b3-5323f559bf8b · outbound

This paper cites GPT-4 Technical Report.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models GPT-4 Technical Report

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.496633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19e34ba4-272b-4440-b3d1-e9cf3fed4e9d · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.500061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 854a48a3-04e0-4daa-8a6b-53ea888d3ecc · outbound

This paper cites Code Llama: Open Foundation Models for Code.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Code Llama: Open Foundation Models for Code

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.503031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67f305a0-6394-4303-bce5-e11bd28078aa · outbound

This paper cites an unresolved cited work.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.505923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0884f57c-ca75-44c4-9d31-628d5ceddc9f · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Gemini: A Family of Highly Capable Multimodal Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.509571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c337865-8896-49b5-8a4f-99a5a4cdd197 · outbound

This paper cites PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.512878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2f7f0d1-e8a8-43c6-aebb-e3d6355dedbb · outbound

This paper cites MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.516105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 613d387b-e270-42aa-a175-46dcccd03c6f · outbound

This paper cites an unresolved cited work.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-09T23:21:56.779262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e228a793-0ab1-47cc-8a71-22afe69d5012 · outbound

This paper cites Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.522182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61030cba-491f-45cd-8355-c7321631bd40 · outbound

This paper cites Qwen2 Technical Report.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Qwen2 Technical Report

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.525660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd4c9510-7e95-4c53-aa8a-e712839a8b04 · outbound

This paper cites an unresolved cited work.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-09T23:21:56.769827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1de4c393-8eaf-4627-b6dc-e603240297d0 · outbound

This paper cites Transformer-Based Models Are Not Yet Perfect At Learning to Emulate Structural Recursion.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Transformer-Based Models Are Not Yet Perfect At Learning to Emulate Structural Recursion

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.532486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8f5657b-725e-4ee4-8c7f-49dba59a26a0 · outbound

This paper cites Can LLM Graph Reasoning Generalize beyond Pattern Memorization?.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models Can LLM Graph Reasoning Generalize beyond Pattern Memorization?

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.535851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5d15767-e20a-4a0f-8c8e-64785d4103fe · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.539146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49a4fb7b-7d3d-4abb-8c0d-cfba75b1e4e5 · outbound

This paper cites The Larger They Are, the Harder They Fail: Language Models do not Recognize Identifier Swaps in Python.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models The Larger They Are, the Harder They Fail: Language Models do not Recognize Identifier Swaps in Python

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:56.483947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 82b1eb67-93a3-49df-a0eb-9dca3bd88ef0 · inbound

CodeMind: Evaluating Large Language Models for Code Reasoning cites this paper.

CodeMind: Evaluating Large Language Models for Code Reasoning A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:55:59.621421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bda5ae7e-7e24-440b-8949-36758a0270cb · inbound

Assessing Coherency and Consistency of Code Execution Reasoning by Large Language Models cites this paper.

Assessing Coherency and Consistency of Code Execution Reasoning by Large Language Models A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:00:57.254553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 90472f13-35c8-454e-bc37-9cdf18f40b35 · inbound

ATLAS: Multi-View Code Representation Tool for C and C++ Source Programs cites this paper.

ATLAS: Multi-View Code Representation Tool for C and C++ Source Programs A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T16:42:12.973876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f8aad15-68ef-4885-8d40-40f0dfa5556f · inbound

Evaluating Code Reasoning Abilities of Large Language Models Under Real-World Settings cites this paper.

Evaluating Code Reasoning Abilities of Large Language Models Under Real-World Settings A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:28:34.189155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9a9ac8c2-30e8-4a94-b051-d14684a89e9e · inbound

PrismaDV: Automated Task-Aware Data Unit Test Generation cites this paper.

PrismaDV: Automated Task-Aware Data Unit Test Generation A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:49:16.112186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.