Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.13187.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:27:05.621496Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T19:36:15.385750Z
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 6a838915-04bc-478c-9989-3803e081fd44 · inbound
ExecRepoBench: Multi-level Executable Code Completion Evaluation cites this paper.
ExecRepoBench: Multi-level Executable Code Completion Evaluation aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:27:05.621496Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 087f7790-764b-4291-a211-26523c3bec20 · 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 aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:10:13.748892Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50c7abf0-2ebb-4b45-bd54-f9504e752e2e · inbound
Empirical Study of Code Large Language Models for Binary Security Patch Detection cites this paper.
Empirical Study of Code Large Language Models for Binary Security Patch Detection aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T04:37:03.644767Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a30a362f-1be4-4041-8624-44d873e4efd7 · inbound
RealBench: A Repo-Level Code Generation Benchmark Aligned with Real-World Software Development Practices cites this paper.
RealBench: A Repo-Level Code Generation Benchmark Aligned with Real-World Software Development Practices aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:36:15.387616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 61a472ca-efc8-47c9-b375-1be357dbc96e · inbound
Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code cites this paper.
Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:26:04.677759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.