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Paper Citation Record · LEDGER

API-guided Dataset Synthesis to Finetune Large Code Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.08343.

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

pith.paper-citation-record.v1
2408.08343 v2

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:25:35.672220Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:12:19.287279Z

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 1ff19af2-841f-43df-b8a1-db6b07bb11ea · inbound

RAG or Fine-tuning? A Comparative Study on LCMs-based Code Completion in Industry cites this paper.

RAG or Fine-tuning? A Comparative Study on LCMs-based Code Completion in Industry API-guided Dataset Synthesis to Finetune Large Code Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:35.672220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:35.672220Z digest=sha256:02477814fc21e10f0f3810e888a3eecbf990994381eb72284070df1e2abcd4a5

Observation a74c14c8-a7b2-4817-a577-3595866ff611 · inbound

What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning cites this paper.

What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning API-guided Dataset Synthesis to Finetune Large Code Models

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:12:19.293347Z

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.

source=pdf_text observed=2026-08-06T23:12:18.981774Z digest=sha256:f80a8256eb442f7f971df27354ffcef77feaef8bc8aa7ab3f280b4d3a3948a33