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Paper Citation Record · LEDGER

Leveraging Training Data in Few-Shot Prompting for Numerical Reasoning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.18170.

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

pith.paper-citation-record.v1
2305.18170 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 2026-08-07T05:14:46.708957Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T13:32:17.545556Z

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 9129c416-9471-4e72-97a1-ee756556ca35 · inbound

Retrieval-Augmented Generation for AI-Generated Content: A Survey cites this paper.

Retrieval-Augmented Generation for AI-Generated Content: A Survey Leveraging Training Data in Few-Shot Prompting for Numerical Reasoning

Reference 255

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:32:17.546918Z

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=2026-05-15T13:32:17.177021Z digest=sha256:c7bce17c6dec51431946e19d2c1d5b16deddcc3c77a7e82be49b97ea4f967037

Observation 92276698-cada-47d6-9c23-96e35c64541b · inbound

A Survey on Large Language Models for Mathematical Reasoning cites this paper.

A Survey on Large Language Models for Mathematical Reasoning Leveraging Training Data in Few-Shot Prompting for Numerical Reasoning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T05:14:46.708957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:14:46.708957Z digest=sha256:ee38a6dbf587dcdaa612c4a1781e6ecb95ba579a69bc22e9977bcb9cd366c869