Paper Citation Record · LEDGER

CoCoNUT: Structural Code Understanding does not fall out of a tree

As of 10 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 3 inbound Pith citation observations for arXiv:2501.16456.

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

pith.paper-citation-record.v1
2501.16456 v3

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:13:35.302997Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T03:53:55.964755Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T03:55:59.623541Z

Reference resolution

25 of 25 outbound references displayed

verified exact0
verified fuzzy10
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 174ad5c9-8c25-4880-b8e0-e24909234065 · outbound

This paper cites The future landscape of large language models in medicine,.

CoCoNUT: Structural Code Understanding does not fall out of a tree The future landscape of large language models in medicine,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:13:35.644099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e0ec2f1c-1ad3-46d9-a64b-7a946b94707e · outbound

This paper cites Introducing bloomberggpt, bloomberg’s 50-billion param- eter large language model, purpose-built from scratch for finance,.

CoCoNUT: Structural Code Understanding does not fall out of a tree Introducing bloomberggpt, bloomberg’s 50-billion param- eter large language model, purpose-built from scratch for finance,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:13:35.629433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c2b6e357-0939-4b00-a37d-4c582b71d4da · outbound

This paper cites Program Synthesis with Large Language Models.

CoCoNUT: Structural Code Understanding does not fall out of a tree Program Synthesis with Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T13:13:35.182858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9da1d582-019e-499d-8786-734fb6c84ac9 · outbound

This paper cites EvalPlus Leaderboard — evalplus.github.io,.

CoCoNUT: Structural Code Understanding does not fall out of a tree EvalPlus Leaderboard — evalplus.github.io,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:13:35.614733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ac3f64aa-95d9-4d47-9b65-14d8c151aee5 · outbound

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

CoCoNUT: Structural Code Understanding does not fall out of a tree CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T13:13:35.192589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dcb7e3c-be44-4d0b-8afc-69d5f8983178 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

CoCoNUT: Structural Code Understanding does not fall out of a tree LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T13:13:35.197587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b682f890-6c62-417f-8907-1a61b8d1f00b · outbound

This paper cites Evaluating Large Language Models Trained on Code.

CoCoNUT: Structural Code Understanding does not fall out of a tree Evaluating Large Language Models Trained on Code

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T13:13:35.201950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 522d9878-79f1-4578-ad76-be653cc20120 · outbound

This paper cites Is your code generated by chatGPT really correct? rigorous evaluation of large language models for code generation,.

CoCoNUT: Structural Code Understanding does not fall out of a tree Is your code generated by chatGPT really correct? rigorous evaluation of large language models for code generation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:13:35.601566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 339ab630-0922-4ebb-a3b7-ed4ffa971274 · outbound

This paper cites Pattern matching: The gestalt approach,.

CoCoNUT: Structural Code Understanding does not fall out of a tree Pattern matching: The gestalt approach,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:13:35.584734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f484a814-63b2-433d-b1a6-3d81487c9eb4 · outbound

This paper cites LeetCode Solutions — walkccc.me,.

CoCoNUT: Structural Code Understanding does not fall out of a tree LeetCode Solutions — walkccc.me,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:13:35.569204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 52c87ed2-48a3-48f4-85aa-dbd73c87a38f · outbound

This paper cites GitHub - neetcode-gh/leetcode: Leetcode solutions — github.com,.

CoCoNUT: Structural Code Understanding does not fall out of a tree GitHub - neetcode-gh/leetcode: Leetcode solutions — github.com,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:13:35.555407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4719aec5-b7ba-44f4-961e-fc634a7d20e7 · outbound

This paper cites Rosetta Code — rosettacode.org,.

CoCoNUT: Structural Code Understanding does not fall out of a tree Rosetta Code — rosettacode.org,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:13:35.541026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d345c7e3-95f3-4d9f-b9e3-0e7fa57b4c6a · outbound

This paper cites RosettaCodeData/Task at main · acmeism/RosettaCodeData — github.com,.

CoCoNUT: Structural Code Understanding does not fall out of a tree RosettaCodeData/Task at main · acmeism/RosettaCodeData — github.com,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:13:35.528008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4573a54c-22b5-431e-9233-99457b0cb8e9 · outbound

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

CoCoNUT: Structural Code Understanding does not fall out of a tree NExT: Teaching Large Language Models to Reason about Code Execution

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T13:13:35.237486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdffacce-0adf-4903-bc63-54dc45106dbd · outbound

This paper cites Large language models as code executors: An exploratory study,.

CoCoNUT: Structural Code Understanding does not fall out of a tree Large language models as code executors: An exploratory study,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:13:35.514066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7544d611-42b0-4dd6-9436-c9dec37a6792 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

CoCoNUT: Structural Code Understanding does not fall out of a tree Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T13:13:35.258247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d36c58ca-9443-4112-8c32-941d3ec28886 · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

CoCoNUT: Structural Code Understanding does not fall out of a tree Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T13:13:35.264119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc2840cc-9899-4cd4-8c7a-48841222d593 · outbound

This paper cites Show Your Work: Scratchpads for Intermediate Computation with Language Models.

CoCoNUT: Structural Code Understanding does not fall out of a tree Show Your Work: Scratchpads for Intermediate Computation with Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T13:13:35.270526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce56201f-26b4-447f-84f8-6cfaa40bef8e · outbound

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

CoCoNUT: Structural Code Understanding does not fall out of a tree CodeMind: Evaluating Large Language Models for Code Reasoning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T13:13:35.276271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce70af1e-4d0e-4e85-9156-63e71adfccc4 · outbound

This paper cites CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.

CoCoNUT: Structural Code Understanding does not fall out of a tree CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T13:13:35.282236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa8039f4-c92e-4ea9-9af3-184bc8461280 · outbound

This paper cites Reasoning runtime behavior of a program with llm: How far are we?.

CoCoNUT: Structural Code Understanding does not fall out of a tree Reasoning runtime behavior of a program with llm: How far are we?

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T13:13:35.287795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adb0cf0c-98b1-475f-a5c7-9c188ae00206 · outbound

This paper cites Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs.

CoCoNUT: Structural Code Understanding does not fall out of a tree Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T13:13:35.292387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ef59c8e-6000-4023-aa33-ecb88f882212 · outbound

This paper cites Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates.

CoCoNUT: Structural Code Understanding does not fall out of a tree Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T13:13:35.298043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd614ce3-fe8e-4836-988e-0effa1aa02aa · outbound

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

CoCoNUT: Structural Code Understanding does not fall out of a tree SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T13:13:35.302997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d05a99a-b207-42e7-9d19-e4c271ebf6f1 · outbound

This paper cites Large Language Models as Code Executors: An Exploratory Study.

CoCoNUT: Structural Code Understanding does not fall out of a tree Large Language Models as Code Executors: An Exploratory Study

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T13:13:35.252001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 5ba9d295-2bda-4e33-a335-78751646d3f5 · inbound

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

CodeMind: Evaluating Large Language Models for Code Reasoning CoCoNUT: Structural Code Understanding does not fall out of a tree

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:55:59.627983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6057665c-3286-4c3e-a104-8c879bb3f51d · 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 CoCoNUT: Structural Code Understanding does not fall out of a tree

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:00:57.194124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 98023cab-253a-49d7-810c-18fff67191e9 · 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 CoCoNUT: Structural Code Understanding does not fall out of a tree

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:28:34.245957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.