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Paper Citation Record · LEDGER

AutoCoder: Enhancing Code Large Language Model with \textsc{AIEV-Instruct}

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.14906.

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

pith.paper-citation-record.v1
2405.14906 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:29:51.769581Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T12:35:48.421836Z

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 b8ba00a8-d8e9-458b-8c5f-1176fc6d82eb · inbound

Large Language Model-Based Agents for Software Engineering: A Survey cites this paper.

Large Language Model-Based Agents for Software Engineering: A Survey AutoCoder: Enhancing Code Large Language Model with \textsc{AIEV-Instruct}

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-17T12:35:48.425123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-17T12:35:48.170947Z digest=sha256:607cb704153de30177b83ac0c16652dd07d9f90c135e2206118e2fb886197caa

Observation 79963254-cf96-4307-885a-60d865c4898a · inbound

Data-efficient LLM Fine-tuning for Code Generation cites this paper.

Data-efficient LLM Fine-tuning for Code Generation AutoCoder: Enhancing Code Large Language Model with \textsc{AIEV-Instruct}

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T12:29:51.769581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:29:51.769581Z digest=sha256:7b255f06db0c207baa2ca2dda83a3acf37be4ce6eac122f0d359702bd92cd73e