Paper Citation Record · LEDGER

GenX: Mastering Code and Test Generation with Execution Feedback

As of 15 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2412.13464.

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

pith.paper-citation-record.v1
2412.13464 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:09:26.866918Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

15 of 15 outbound references displayed

verified exact0
verified fuzzy2
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a6e13e29-5545-43d2-81fe-0ae9ac54d6b9 · outbound

This paper cites Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis.

GenX: Mastering Code and Test Generation with Execution Feedback Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T13:09:26.803633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e848fa7e-3cf5-4490-983d-3466496e2f0d · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

GenX: Mastering Code and Test Generation with Execution Feedback DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T13:09:26.832083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecd17c49-ef5e-4793-8068-22981894ebb7 · outbound

This paper cites Qwen2.5-Coder Technical Report.

GenX: Mastering Code and Test Generation with Execution Feedback Qwen2.5-Coder Technical Report

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T13:09:26.837531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89267435-b1af-4c59-85f4-772331d5d4af · outbound

This paper cites RLTF: Reinforcement Learning from Unit Test Feedback.

GenX: Mastering Code and Test Generation with Execution Feedback RLTF: Reinforcement Learning from Unit Test Feedback

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T13:09:26.845497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6abbee28-e817-4850-95c9-3fde4130a012 · outbound

This paper cites Proximal Policy Optimization Algorithms.

GenX: Mastering Code and Test Generation with Execution Feedback Proximal Policy Optimization Algorithms

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T13:09:26.853799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c750794-c9c4-41da-8acd-bb90e28fc80b · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

GenX: Mastering Code and Test Generation with Execution Feedback Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T13:09:26.862892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45042faf-61c5-4957-9f8e-b227ddfb057e · outbound

This paper cites CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X.

GenX: Mastering Code and Test Generation with Execution Feedback CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T13:09:26.866918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cef172a-eb7d-40b6-90b5-b79673b09be4 · outbound

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

GenX: Mastering Code and Test Generation with Execution Feedback Code Llama: Open Foundation Models for Code

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-11T13:09:26.849379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79743d50-bc30-4761-af5f-0119794b35e0 · outbound

This paper cites Automatic unit test data generation and actor-critic reinforcement learning for code synthesis.

GenX: Mastering Code and Test Generation with Execution Feedback Automatic unit test data generation and actor-critic reinforcement learning for code synthesis

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:09:27.064647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9497b4a5-1d79-48a7-b7c2-4105de281df8 · outbound

This paper cites The Llama 3 Herd of Models.

GenX: Mastering Code and Test Generation with Execution Feedback The Llama 3 Herd of Models

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-11T13:09:26.818179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a338e11b-e05c-48da-bf0f-bf826208acc9 · outbound

This paper cites Execution-based Code Generation using Deep Reinforcement Learning.

GenX: Mastering Code and Test Generation with Execution Feedback Execution-based Code Generation using Deep Reinforcement Learning

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-11T13:09:26.858320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34db8d82-b908-4da3-82b0-87ebfa369afd · outbound

This paper cites Teaching Large Language Models to Self-Debug.

GenX: Mastering Code and Test Generation with Execution Feedback Teaching Large Language Models to Self-Debug

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T13:09:26.813759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ff0ae84-f240-4504-946a-e136304305f4 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

GenX: Mastering Code and Test Generation with Execution Feedback Evaluating Large Language Models Trained on Code

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T13:09:26.808626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9dd5d31-fa5a-4f43-ba87-658aef589086 · outbound

This paper cites Textbooks Are All You Need.

GenX: Mastering Code and Test Generation with Execution Feedback Textbooks Are All You Need

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T13:09:26.827657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13ddd8a7-78c6-4ffb-ba65-c0aaa4116409 · outbound

This paper cites Mapping language to code in programmatic context.

GenX: Mastering Code and Test Generation with Execution Feedback Mapping language to code in programmatic context

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:09:27.050239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.