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Paper Citation Record · LEDGER

60 Data Points are Sufficient to Fine-Tune LLMs for Question-Answering

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.15825.

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

pith.paper-citation-record.v1
2409.15825 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:22:47.972065Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:24:54.951381Z

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 5159094f-4ff5-48aa-b856-0d7e867a8e2b · inbound

KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance cites this paper.

KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance 60 Data Points are Sufficient to Fine-Tune LLMs for Question-Answering

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T15:22:47.972065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:22:47.972065Z digest=sha256:f460c34975ef3013c037b688f4783da000eb603d5dc08fd59053d95cd604c206

Observation 9f051c0f-6d08-46fb-9b25-7dcb080c95a2 · inbound

Resolving Knowledge Conflicts in Domain-specific Data Selection: A Case Study on Medical Instruction-tuning cites this paper.

Resolving Knowledge Conflicts in Domain-specific Data Selection: A Case Study on Medical Instruction-tuning 60 Data Points are Sufficient to Fine-Tune LLMs for Question-Answering

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:24:55.056801Z

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.

source=pdf_text observed=2026-08-07T13:24:52.763920Z digest=sha256:f0c6acbadfe963c21969e18ab01a5cc5b568a0134b610632a44b76ca59ef600c