Pith. sign in

Paper Citation Record · LEDGER

Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.04186.

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

pith.paper-citation-record.v1
2210.04186 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 2026-08-06T20:14:47.415735Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:32:11.100955Z

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 b62697b1-d33d-43b7-af01-8d749ce58ed1 · inbound

Prompt Engineering Guidelines for Using Large Language Models in Requirements Engineering cites this paper.

Prompt Engineering Guidelines for Using Large Language Models in Requirements Engineering Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T20:14:47.415735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:14:47.415735Z digest=sha256:b05c29b9ea2e629ec1f87be39ed54391b8b7d97e069c0601961b267310d3eaef

Observation 7b511a61-1524-4af1-a793-c75c6e00a826 · inbound

Multilingual LLMs Are Not Multilingual Thinkers: Evidence from Hindi Analogy Evaluation cites this paper.

Multilingual LLMs Are Not Multilingual Thinkers: Evidence from Hindi Analogy Evaluation Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT

Reference 2022

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T16:32:11.166094Z

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=2026-08-06T16:32:09.683112Z digest=sha256:746960f6ff8f0949939de3fd38ae4990c2aed576bdd45dca7d2e27ff8fd89061