Paper Citation Record · LEDGER

Steps are all you need: Rethinking STEM Education with Prompt Engineering

As of 18 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2412.05023.

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

pith.paper-citation-record.v1
2412.05023 v3

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:05:20.587734Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T09:56:36.716680Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T10:01:14.177651Z

Reference resolution

20 of 20 outbound references displayed

verified exact0
verified fuzzy0
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aff11a3d-451d-4d35-8052-388b16277c13 · outbound

This paper cites Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks.

Steps are all you need: Rethinking STEM Education with Prompt Engineering Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T21:05:20.528466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f20a481-9588-486d-bb7f-fdce2bc6e0a6 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

Steps are all you need: Rethinking STEM Education with Prompt Engineering QLoRA: Efficient Finetuning of Quantized LLMs

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T21:05:20.546307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 353f24de-33b8-44c5-920e-ee63ac5cac02 · outbound

This paper cites Advancements in Scientific Controllable Text Generation Methods.

Steps are all you need: Rethinking STEM Education with Prompt Engineering Advancements in Scientific Controllable Text Generation Methods

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T21:05:20.705961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 002c5b64-2eb4-41c4-a25f-f5b60b5e824f · outbound

This paper cites Instruction Tuned Models are Quick Learners.

Steps are all you need: Rethinking STEM Education with Prompt Engineering Instruction Tuned Models are Quick Learners

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T21:05:20.552884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2502d1cc-835c-493e-9639-bb6832aaeb48 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Steps are all you need: Rethinking STEM Education with Prompt Engineering LoRA: Low-Rank Adaptation of Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T21:05:20.555986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa0523b9-760c-42e4-8a4f-e61f51984ade · outbound

This paper cites Mistral 7B.

Steps are all you need: Rethinking STEM Education with Prompt Engineering Mistral 7B

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T21:05:20.559131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42669fb0-66f8-4957-b239-7eabd02b3fa1 · outbound

This paper cites The Impact of Reasoning Step Length on Large Language Models.

Steps are all you need: Rethinking STEM Education with Prompt Engineering The Impact of Reasoning Step Length on Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T21:05:20.565149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ff26b58-4fd9-408e-8cea-f1f51b274ed8 · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

Steps are all you need: Rethinking STEM Education with Prompt Engineering Large Language Models are Zero-Shot Reasoners

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T21:05:20.568149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0d8819f-8e78-4b4b-a621-17d26d1ca4af · outbound

This paper cites GPT-4 Technical Report.

Steps are all you need: Rethinking STEM Education with Prompt Engineering GPT-4 Technical Report

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T21:05:20.571141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73ddf1a0-efd6-4e7c-95e5-a78d2385aa90 · outbound

This paper cites Training language models to follow instructions with human feedback.

Steps are all you need: Rethinking STEM Education with Prompt Engineering Training language models to follow instructions with human feedback

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T21:05:20.574033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f88677c-1035-4c86-8015-2d305a07de69 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Steps are all you need: Rethinking STEM Education with Prompt Engineering Gemini: A Family of Highly Capable Multimodal Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T21:05:20.576698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29701ded-7f09-437d-b8fb-f8e6c705808a · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Steps are all you need: Rethinking STEM Education with Prompt Engineering Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T21:05:20.579601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a33081a-a944-400a-ac99-dab942b7ca4e · outbound

This paper cites Large Language Models as Analogical Reasoners.

Steps are all you need: Rethinking STEM Education with Prompt Engineering Large Language Models as Analogical Reasoners

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T21:05:20.584517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7aec81e6-1344-49df-9943-d301f184653c · outbound

This paper cites Crowdsourcing Multiple Choice Science Questions.

Steps are all you need: Rethinking STEM Education with Prompt Engineering Crowdsourcing Multiple Choice Science Questions

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-11T21:05:20.582093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f06ceb6-6d38-473d-8080-e38cd9336809 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Steps are all you need: Rethinking STEM Education with Prompt Engineering BERTScore: Evaluating Text Generation with BERT

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-11T21:05:20.587734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ea7e748-8195-48c1-a333-eef9cba67606 · outbound

This paper cites Language Models are Few-Shot Learners.

Steps are all you need: Rethinking STEM Education with Prompt Engineering Language Models are Few-Shot Learners

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-11T21:05:20.536117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dc1a76a-8e28-4694-8a21-325fbe006b1a · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Steps are all you need: Rethinking STEM Education with Prompt Engineering Training Verifiers to Solve Math Word Problems

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T21:05:20.542754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c44731de-c3c0-4280-a82e-d633810cd4c9 · outbound

This paper cites Towards Understanding Mixture of Experts in Deep Learning.

Steps are all you need: Rethinking STEM Education with Prompt Engineering Towards Understanding Mixture of Experts in Deep Learning

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T21:05:20.539293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2799641a-ff23-4749-9f00-11d169fd7fa1 · outbound

This paper cites Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models.

Steps are all you need: Rethinking STEM Education with Prompt Engineering Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T21:05:20.532591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89eb6364-0421-4541-aced-372110bfd21c · outbound

This paper cites Mixtral of Experts.

Steps are all you need: Rethinking STEM Education with Prompt Engineering Mixtral of Experts

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T21:05:20.562225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b2b0b02c-24cd-4a12-81ec-9237642bac9c · inbound

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI cites this paper.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Steps are all you need: Rethinking STEM Education with Prompt Engineering

Reference 134

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:01:14.180369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.