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Paper Citation Record · LEDGER

A Systematic Review on Prompt Engineering in Large Language Models for K-12 STEM Education

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.11123.

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

pith.paper-citation-record.v1
2410.11123 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:20:35.403847Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

8
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 08ef033f-6ae3-4ee8-9c6b-1320f52bb343 · inbound

Teaching Astronomy with Large Language Models cites this paper.

Teaching Astronomy with Large Language Models A Systematic Review on Prompt Engineering in Large Language Models for K-12 STEM Education

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:17:15.492715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T10:14:51.134936Z digest=sha256:4ddf3327dd21e577174064b36819ff028f87ba4e0fab73c5989dfa971d032096

Observation 0c72247c-840d-456a-bca7-d04307f9f39c · inbound

Comparing RAG and GraphRAG for Page-Level Retrieval Question Answering on a Math Textbook cites this paper.

Comparing RAG and GraphRAG for Page-Level Retrieval Question Answering on a Math Textbook A Systematic Review on Prompt Engineering in Large Language Models for K-12 STEM Education

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T16:07:33.243032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:07:33.243032Z digest=sha256:0f0d5ee3111bf6e1095791950247fa54aeb7c59d6226f58c439d8368708bb744

Observation 0db8203d-b3f7-4956-b1c6-a2c3c736c85b · inbound

Practice Less, Explain More: LLM-Supported Self-Explanation Improves Explanation Quality on Transfer Problems in Calculus cites this paper.

Practice Less, Explain More: LLM-Supported Self-Explanation Improves Explanation Quality on Transfer Problems in Calculus A Systematic Review on Prompt Engineering in Large Language Models for K-12 STEM Education

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-13T15:21:03.460822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T15:21:03.460822Z digest=sha256:a809236776ecd813e91b7e4b4a99ec273229104da0c6eea0e8311d7541110cb2

Observation c62ec785-59ea-42d2-be26-3e04fa467051 · inbound

Asking Questions the Right Way: A Multi-Agent Conversational System for Prompt Formulation in Complex Task Resolution cites this paper.

Asking Questions the Right Way: A Multi-Agent Conversational System for Prompt Formulation in Complex Task Resolution A Systematic Review on Prompt Engineering in Large Language Models for K-12 STEM Education

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T00:20:35.403847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:20:35.403847Z digest=sha256:23d5abffa9556d05d8961bcb4311b28e6b75d8b0504f95926405839c3d4550ce