Paper Citation Record · LEDGER

NExT: Teaching Large Language Models to Reason about Code Execution

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2404.14662.

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

pith.paper-citation-record.v1
2404.14662 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:46:56.286075Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T13:44:41.795923Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation dc02356f-a228-4912-a2d6-4b320984578f · inbound

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

CodeMind: Evaluating Large Language Models for Code Reasoning NExT: Teaching Large Language Models to Reason about Code Execution

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:55:59.675272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 64a621c6-5cc3-4c49-9183-234bcafde910 · inbound

Training Language Models to Self-Correct via Reinforcement Learning cites this paper.

Training Language Models to Self-Correct via Reinforcement Learning NExT: Teaching Large Language Models to Reason about Code Execution

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-17T12:04:10.383925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b3d23eb0-9c9e-4592-9537-4fc4b2f386c6 · inbound

LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issues cites this paper.

LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issues NExT: Teaching Large Language Models to Reason about Code Execution

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T15:46:56.286075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ee3ecb3-c9c8-49cd-a44e-8bb6cdbc63cb · inbound

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models cites this paper.

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models NExT: Teaching Large Language Models to Reason about Code Execution

Reference 139

Resolution: unresolved; no resolver link, observed 2026-08-11T22:57:01.881134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

CoCoNUT: Structural Code Understanding does not fall out of a tree cites this paper.

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 712134d3-4605-45be-9379-c90766fe2188 · inbound

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models cites this paper.

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 0306d34a-b0c3-4930-b1ed-93fa9187ac2f · inbound

What I cannot execute, I do not understand: Training and Evaluating LLMs on Program Execution Traces cites this paper.

What I cannot execute, I do not understand: Training and Evaluating LLMs on Program Execution Traces NExT: Teaching Large Language Models to Reason about Code Execution

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T15:14:54.207215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08ee141c-3679-4f85-a344-e29b03392c90 · inbound

CodeReasoner: Enhancing the Code Reasoning Ability with Reinforcement Learning cites this paper.

CodeReasoner: Enhancing the Code Reasoning Ability with Reinforcement Learning NExT: Teaching Large Language Models to Reason about Code Execution

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T14:50:27.959391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47953471-4c87-4574-9e25-38d35e764e1e · inbound

ReLog: Execution-Aware Logging with Runtime Feedback for LLM-Oriented Debugging cites this paper.

ReLog: Execution-Aware Logging with Runtime Feedback for LLM-Oriented Debugging NExT: Teaching Large Language Models to Reason about Code Execution

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T05:40:56.150418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee0e9870-acc3-4a0e-8efe-12d7ec693183 · inbound

Teaching LLMs Program Semantics via Symbolic Execution Traces cites this paper.

Teaching LLMs Program Semantics via Symbolic Execution Traces NExT: Teaching Large Language Models to Reason about Code Execution

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:26:13.447050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 16a3ce91-2b03-439b-8cce-3a6af7ec15a8 · inbound

Agentic MIP Research: Accelerated Constraint Handler Generation cites this paper.

Agentic MIP Research: Accelerated Constraint Handler Generation NExT: Teaching Large Language Models to Reason about Code Execution

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:16:16.302851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e6fd4555-8b16-488e-ad3d-6042b06876ef · inbound

StepCodeReasoner: Aligning Code Reasoning with Stepwise Execution Traces via Reinforcement Learning cites this paper.

StepCodeReasoner: Aligning Code Reasoning with Stepwise Execution Traces via Reinforcement Learning NExT: Teaching Large Language Models to Reason about Code Execution

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T05:32:20.212235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6a653599-ef5d-4558-9d9e-742fe386fba6 · inbound

MemRepair: Hierarchical Memory for Agentic Repository-Level Vulnerability Repair cites this paper.

MemRepair: Hierarchical Memory for Agentic Repository-Level Vulnerability Repair NExT: Teaching Large Language Models to Reason about Code Execution

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-19T23:07:51.129563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 38b6bc2c-4ef0-4cb9-b488-01ba34986627 · inbound

Code as Agent Harness cites this paper.

Code as Agent Harness NExT: Teaching Large Language Models to Reason about Code Execution

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.517676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 589b51b6-7ee5-4b76-afec-2f07f04e8e21 · inbound

MicroAgent: Context-Augmented Multi-Agent Framework for Automatic Microservice Decomposition cites this paper.

MicroAgent: Context-Augmented Multi-Agent Framework for Automatic Microservice Decomposition NExT: Teaching Large Language Models to Reason about Code Execution

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:44:41.797641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.