Paper Citation Record · LEDGER

aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.13187.

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

pith.paper-citation-record.v1
2410.13187 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:24:15.299817Z

measured 0 of 1 external citation measurements

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 dfcdad11-9008-4e81-ad69-09e4200a22be · inbound

Structure-Aware Corpus Construction and User-Perception-Aligned Metrics for Large-Language-Model Code Completion cites this paper.

Structure-Aware Corpus Construction and User-Perception-Aligned Metrics for Large-Language-Model Code Completion aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:15.299817Z

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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.