Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2401.06391.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:44:50.555617Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T20:18:06.732591Z
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 b3b7d70d-08bb-44cf-adfc-a96c114d6dc2 · inbound
A Survey on Large Language Models for Code Generation cites this paper.
A Survey on Large Language Models for Code Generation Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation
Reference 264
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:18:06.734203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d10e38b8-1e31-40ae-84d3-53b01a02fc04 · inbound
Accelerating Automatic Program Repair with Dual Retrieval-Augmented Fine-Tuning and Patch Generation on Large Language Models cites this paper.
Accelerating Automatic Program Repair with Dual Retrieval-Augmented Fine-Tuning and Patch Generation on Large Language Models Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:44:50.555617Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a62ad7c-af68-47e3-972f-38475737a3ac · inbound
A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat cites this paper.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76bb9828-cd76-4fec-bd6b-2d8252ee152a · inbound
Enhancing Project-Specific Code Completion by Inferring Internal API Information cites this paper.
Enhancing Project-Specific Code Completion by Inferring Internal API Information Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:16:49.305394Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4314f968-196d-4928-b1af-3d4f1c0e2cbb · inbound
LLM-Based Agentic Systems for Software Engineering: Challenges and Opportunities cites this paper.
LLM-Based Agentic Systems for Software Engineering: Challenges and Opportunities Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T10:30:41.638701Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d79d4421-0a75-4919-a117-23c6af5269ea · inbound
MATRIX: Multi-Layer Code Watermarking via Dual-Channel Constrained Parity-Check Encoding cites this paper.
MATRIX: Multi-Layer Code Watermarking via Dual-Channel Constrained Parity-Check Encoding Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T09:08:26.642965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 85fee6a0-36f1-46e4-a98e-bd7e01112bcd · inbound
Beyond Translation Accuracy: Addressing False Failures in LLM-Based Code Translation cites this paper.
Beyond Translation Accuracy: Addressing False Failures in LLM-Based Code Translation Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:15:38.578537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 65397a24-fbf6-4993-9730-c3934d491e12 · inbound
Beyond Translation Accuracy: Addressing False Failures in LLM-Based Code Translation cites this paper.
Beyond Translation Accuracy: Addressing False Failures in LLM-Based Code Translation Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T04:40:56.702606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c9e4adbe-c647-4400-bca8-7fd803a24364 · inbound
RepoReasoner: Evaluating Repository-Level Code Reasoning Ability of Long-Context Language Models cites this paper.
RepoReasoner: Evaluating Repository-Level Code Reasoning Ability of Long-Context Language Models Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T00:57:38.332591Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.