Paper Citation Record · LEDGER

PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2307.14936.

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

pith.paper-citation-record.v1
2307.14936 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 2026-08-19T06:32:44.657259+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:45:04.845561Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T04:58:10.262372Z

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 732f9e12-fdae-465a-ada6-0755974b8599 · inbound

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

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T17:34:43.025678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 83c5b9f4-8e4f-40e4-b98b-ba80f24daaec · inbound

A Survey on Large Language Models for Code Generation cites this paper.

A Survey on Large Language Models for Code Generation PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback

Reference 239

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:18:06.664385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0557e36f-ef1d-472e-881d-c0e862fb66ec · inbound

Generalist Virtual Agents: A Survey on Autonomous Agents Across Digital Platforms cites this paper.

Generalist Virtual Agents: A Survey on Autonomous Agents Across Digital Platforms PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback

Reference 127

Resolution: unresolved; no resolver link, observed 2026-08-12T19:10:14.737003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bc90412-dacc-495a-abc0-e0142d1141b7 · inbound

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar cites this paper.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T18:16:26.737213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ce2cddf-733d-441c-86e4-df272013cb6e · inbound

ViUniT: Visual Unit Tests for More Robust Visual Programming cites this paper.

ViUniT: Visual Unit Tests for More Robust Visual Programming PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T17:34:37.837656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6649c208-2919-4480-bfba-4735dee65c93 · inbound

CoopetitiveV: Leveraging LLM-powered Coopetitive Multi-Agent Prompting for High-quality Verilog Generation cites this paper.

CoopetitiveV: Leveraging LLM-powered Coopetitive Multi-Agent Prompting for High-quality Verilog Generation PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T15:27:03.628325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65e15eea-dee8-4ac2-93d5-955c323ccf77 · inbound

The Current Challenges of Software Engineering in the Era of Large Language Models cites this paper.

The Current Challenges of Software Engineering in the Era of Large Language Models PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback

Reference 129

Resolution: unresolved; no resolver link, observed 2026-08-11T12:10:14.244170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77213e48-620d-4493-8657-29e6b2f47b98 · inbound

Distilling Desired Comments for Enhanced Code Review with Large Language Models cites this paper.

Distilling Desired Comments for Enhanced Code Review with Large Language Models PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T23:28:51.284899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfb8730d-5064-45be-bdf3-fa531b02d325 · inbound

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks cites this paper.

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-08T16:26:32.346001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 456f5238-c5f9-4f6b-9796-d301d8f75d35 · inbound

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models cites this paper.

The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:04.845561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e06830c2-dd1a-4aa0-9ee6-1e5ce3ab12cc · inbound

Towards Mitigating API Hallucination in Code Generated by LLMs with Hierarchical Dependency Aware cites this paper.

Towards Mitigating API Hallucination in Code Generated by LLMs with Hierarchical Dependency Aware PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T23:19:28.857165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 908c5082-4476-4ad8-9006-e8db809235fb · inbound

Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing cites this paper.

Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-17T04:58:10.264392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9d10f4eb-44d4-460e-9528-fb71be934b6f · inbound

MemoCoder: Automated Function Synthesis using LLM-Supported Agents cites this paper.

MemoCoder: Automated Function Synthesis using LLM-Supported Agents PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T18:13:23.309373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa35b624-ca18-436f-a0b3-1c5f63be7234 · inbound

WebGen-R1: Incentivizing Large Language Models to Generate Functional and Aesthetic Websites with Reinforcement Learning cites this paper.

WebGen-R1: Incentivizing Large Language Models to Generate Functional and Aesthetic Websites with Reinforcement Learning PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:19:46.747414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4a4b2b2b-6971-4a42-9cbf-8cf63365dfb3 · inbound

Large Language Models for Code Generation from Multilingual Prompts: A Curated Benchmark and a Study on Code Quality cites this paper.

Large Language Models for Code Generation from Multilingual Prompts: A Curated Benchmark and a Study on Code Quality PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-02T01:01:33.494401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.