Paper Citation Record · LEDGER

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat

As of 7 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2507.18515.

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

pith.paper-citation-record.v1
2507.18515 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:35:29.655141Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T06:04:28.939248Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:26:47.984795Z

Reference resolution

53 of 53 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d947a6c6-0ce5-40a4-b2f4-7c59516d9c97 · outbound

This paper cites GraphCoder: Enhancing Repository-Level Code Completion via Code Context Graph-based Retrieval and Language Model.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat GraphCoder: Enhancing Repository-Level Code Completion via Code Context Graph-based Retrieval and Language Model

Reference 1

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Observation 5a62ad7c-af68-47e3-972f-38475737a3ac · outbound

This paper cites Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T14:35:29.378270Z

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Observation a7f577bf-dfa6-4caa-bf6b-adac79dc3857 · outbound

This paper cites Language Models for Code Completion: A Practical Evalua- tion,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Language Models for Code Completion: A Practical Evalua- tion,

Reference 3

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Observation e1fe6120-7328-4c6c-844b-29bcd25144a1 · outbound

This paper cites RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.800266Z

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Observation 2e73a939-9c22-4e67-b161-060eaf32c7dc · outbound

This paper cites How Practitioners Expect Code Completion?.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat How Practitioners Expect Code Completion?

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.784772Z

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Observation d5b20a54-6719-4945-a9f9-985061ad4192 · outbound

This paper cites What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs?.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs?

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.767395Z

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Observation 034b971a-9e8d-43a9-90c6-02e3564ccb27 · outbound

This paper cites Generative Type Inference for Python,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Generative Type Inference for Python,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.750546Z

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Observation 37e27753-1a7c-4ed8-b861-a3dda9ad0692 · outbound

This paper cites Evaluating Large Language Models in Class-Level Code Generation,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Evaluating Large Language Models in Class-Level Code Generation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.734733Z

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Observation 53ca60c4-e275-4276-834b-d6453610f38c · outbound

This paper cites Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.717036Z

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Observation 2e7ff942-71d7-40bd-a5e8-bb63c4b02209 · outbound

This paper cites VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs

Reference 10

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Observation 96d18894-cf7c-4c45-9e1f-142b74f8f9ac · outbound

This paper cites REPOFUSE: Repository-Level Code Completion with Fused Dual Context.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat REPOFUSE: Repository-Level Code Completion with Fused Dual Context

Reference 11

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Observation 91de56d0-a3a2-4cd4-b6cd-32007c6c6a8d · outbound

This paper cites Repo- former: Selective Retrieval for Repository-Level Code Completion,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Repo- former: Selective Retrieval for Repository-Level Code Completion,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.699679Z

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Observation 1c3bbc6d-4ef9-4920-9cfa-f56fa811d162 · outbound

This paper cites Dataflow-Guided Retrieval Augmen- tation for Repository-Level Code Completion,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Dataflow-Guided Retrieval Augmen- tation for Repository-Level Code Completion,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.683609Z

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Observation 961cbfe6-f2f2-432d-bb53-14b30732ef00 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 14

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Observation 0c2a1809-a903-4282-839a-9f3cd8bb7448 · outbound

This paper cites RAG-Enhanced Commit Message Generation.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat RAG-Enhanced Commit Message Generation

Reference 15

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Observation f7e353a7-f422-4f03-bfc9-5de6b5858eb9 · outbound

This paper cites Studying LLM Performance on Closed- and Open-source Data.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Studying LLM Performance on Closed- and Open-source Data

Reference 16

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Observation bc8b57e2-2935-49a7-8dfc-ea3468cc8cf8 · outbound

This paper cites ReACC: A Retrieval-Augmented Code Completion Framework,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat ReACC: A Retrieval-Augmented Code Completion Framework,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.667543Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 59587499-f750-4f72-b640-9796ec764891 · outbound

This paper cites FT2Ra: A Fine-Tuning-Inspired Approach to Retrieval- Augmented Code Completion,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat FT2Ra: A Fine-Tuning-Inspired Approach to Retrieval- Augmented Code Completion,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.650962Z

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Observation 0358078a-c5f8-484a-b5d7-e84bc9e78e57 · outbound

This paper cites Why do commercial companies contribute to open source software?.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Why do commercial companies contribute to open source software?

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.633544Z

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Observation e606d097-1283-4f7f-ae9e-a9805eee1a38 · outbound

This paper cites Tencent Announces 2024 Third Quarter Results,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Tencent Announces 2024 Third Quarter Results,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.616513Z

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Observation 5b793971-6802-4111-b66a-ce7c29957619 · outbound

This paper cites A comparison of open-source static analysis tools for vulnerability detection in c/c++ code,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat A comparison of open-source static analysis tools for vulnerability detection in c/c++ code,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.598133Z

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Observation 40468257-36b8-4de3-b2b7-57b348121cee · outbound

This paper cites A language and platform independent co-simulation framework based on the functional mock-up interface,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat A language and platform independent co-simulation framework based on the functional mock-up interface,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.581286Z

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Observation 8973c5f2-2dd3-4b15-a066-012809518c51 · outbound

This paper cites Identify- ing and understanding header file hotspots in c/c++ build processes,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Identify- ing and understanding header file hotspots in c/c++ build processes,

Reference 23

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Observation 18779842-7111-464e-8c02-dbf7cbfbd673 · outbound

This paper cites Retrieval meets long context large language models,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Retrieval meets long context large language models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.546900Z

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Observation 3684cc2f-433e-4303-9bba-bc2b7f2b2605 · outbound

This paper cites Improvements to BM25 and Language Models Examined,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Improvements to BM25 and Language Models Examined,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.530672Z

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Observation 5ea1a902-6257-410e-a2ca-8ebc741cffa5 · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat CodeBERT: A Pre-Trained Model for Programming and Natural Languages,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.513514Z

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Observation 3f2c9c88-3143-4446-8ea7-973786687681 · outbound

This paper cites UniXcoder: Unified Cross-Modal Pre-training for Code Representation,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat UniXcoder: Unified Cross-Modal Pre-training for Code Representation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.495124Z

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Observation 444a49f4-201e-460e-9e1d-8a23125e7c86 · outbound

This paper cites CoCoSoDa: Effective Contrastive Learning for Code Search,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat CoCoSoDa: Effective Contrastive Learning for Code Search,

Reference 28

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Observation 47b5872c-964d-4288-a8f6-43d7ab4e095b · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 29

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This paper cites Qwen2 Technical Report.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Qwen2 Technical Report

Reference 30

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A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Qwen2.5-Coder Technical Report

Reference 31

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A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

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A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

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Observation aa85fb9c-bf0b-4aa9-a8e6-287b24575b75 · outbound

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A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Code Llama: Open Foundation Models for Code

Reference 34

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A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Yi: Open Foundation Models by 01.AI

Reference 35

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This paper cites OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models

Reference 36

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A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Codestral,

Reference 37

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Observation 95afc6c4-57fc-49b7-9a87-dc8d0d97ece5 · outbound

This paper cites Llama 3.2: Revolutionizing edge AI and vision with open, customizable models,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Llama 3.2: Revolutionizing edge AI and vision with open, customizable models,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.442444Z

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Observation 9f145783-56a4-4ca1-a6dc-10588c1ada9d · outbound

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A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Introducing Llama 3.1: Our most capable models to date,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.425189Z

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Observation 68604e2d-94b3-4303-9c90-dd75caab63b1 · outbound

This paper cites Llama-3.3-70B-Instruct,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Llama-3.3-70B-Instruct,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.282290Z

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Observation 5a38b902-026d-4d77-88b7-3a30531dd701 · outbound

This paper cites Qwen2.5: A Party of Foundation Models,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Qwen2.5: A Party of Foundation Models,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.264054Z

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Observation 11352146-df3b-4c9a-b712-e175a4f51886 · outbound

This paper cites DeepSeek-V3 Technical Report.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat DeepSeek-V3 Technical Report

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T14:35:29.595532Z

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This paper cites CodeBLEU: a Method for Automatic Evaluation of Code Synthesis.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Reference 43

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Observation 69bfd85d-3551-4e03-89d9-ca6a36801028 · outbound

This paper cites Bleu: a Method for Automatic Evaluation of Machine Translation,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Bleu: a Method for Automatic Evaluation of Machine Translation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.242811Z

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Observation 257e0e03-7172-4838-afde-969dfb0b0bfb · outbound

This paper cites BM25S: Orders of magnitude faster lexical search via eager sparse scoring.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat BM25S: Orders of magnitude faster lexical search via eager sparse scoring

Reference 45

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Observation 4684f4d6-dfd0-4cc6-965d-92a85707c093 · outbound

This paper cites Re2G: Retrieve, Rerank, Generate,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Re2G: Retrieve, Rerank, Generate,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.218934Z

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Observation f612f1f3-7c16-4ae3-af62-b2165d0dedca · outbound

This paper cites Don't Forget to Connect! Improving RAG with Graph-based Reranking.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Don't Forget to Connect! Improving RAG with Graph-based Reranking

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T14:35:29.625598Z

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Observation 7021c176-c59d-49c6-ac52-23fd2b93c0db · outbound

This paper cites The Chronicles of RAG: The Retriever, the Chunk and the Generator.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat The Chronicles of RAG: The Retriever, the Chunk and the Generator

Reference 48

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Observation 8ff94ad2-fe95-4585-82a2-c17105d6447d · outbound

This paper cites Code completion with statis- tical language models,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Code completion with statis- tical language models,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.195853Z

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Observation 78ac2de5-9312-4949-b53e-1f893acfae2d · outbound

This paper cites When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.176891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ea479e4b-fae5-4cb3-889f-2f3717dbc1ee · outbound

This paper cites Exploring and Improving Code Completion for Test Code,.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat Exploring and Improving Code Completion for Test Code,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.155262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ee0253b2-f319-4381-8b84-d7aa8fc6ccd5 · outbound

This paper cites STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T14:35:29.655141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08528d9f-65bd-43fe-9999-bd62a0ab5bac · outbound

This paper cites 79:1–79:13.

A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat 79:1–79:13

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:35:30.817217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 7175b7f8-b66d-44bc-a8c5-98414f74e9e5 · inbound

Fine-grained Fragment Retrieval in Multi-modal Long-form Dialogues cites this paper.

Fine-grained Fragment Retrieval in Multi-modal Long-form Dialogues A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:26:47.986340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.