Paper Citation Record · LEDGER

A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2407.12994.

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

pith.paper-citation-record.v1
2407.12994 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:12:15.737786Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:27:21.998620Z

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 9c1d7798-b6b0-427b-ab7f-2740648a5b12 · inbound

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models cites this paper.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:57.221893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f1080c3-fb86-4e05-9071-9e141cf4e48d · inbound

Understanding the Fundamental Design Decisions of Retrieval-Augmented Generation Systems cites this paper.

Understanding the Fundamental Design Decisions of Retrieval-Augmented Generation Systems A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-12T10:14:22.247869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb5c8579-8059-44c0-9f5a-63aed889bcd7 · inbound

Are Longer Prompts Always Better? Prompt Selection in Large Language Models for Recommendation Systems cites this paper.

Are Longer Prompts Always Better? Prompt Selection in Large Language Models for Recommendation Systems A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T12:18:03.079647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 979328c9-625a-4487-9335-5e59b8b327a4 · inbound

Recursive Decomposition of Logical Thoughts: Framework for Superior Reasoning and Knowledge Propagation in Large Language Models cites this paper.

Recursive Decomposition of Logical Thoughts: Framework for Superior Reasoning and Knowledge Propagation in Large Language Models A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 111

Resolution: unresolved; no resolver link, observed 2026-08-10T22:29:00.634739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a35c040-6fbc-4e24-b9ff-5ca62509bd5a · inbound

FinRLlama: A Solution to LLM-Engineered Signals Challenge at FinRL Contest 2024 cites this paper.

FinRLlama: A Solution to LLM-Engineered Signals Challenge at FinRL Contest 2024 A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T13:48:49.998088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d86f605-d7fc-4a28-8f6b-1a3d0650cbd3 · inbound

Concept Navigation and Classification via Open-Source Large Language Model Processing cites this paper.

Concept Navigation and Classification via Open-Source Large Language Model Processing A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T21:39:46.034800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54e27e64-ef25-47d3-b589-6f7491aa67e8 · inbound

Green Prompting: Characterizing Prompt-driven Energy Costs of LLM Inference cites this paper.

Green Prompting: Characterizing Prompt-driven Energy Costs of LLM Inference A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-23T00:07:17.316661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ec8fd071-bf92-4cbd-8321-448883f5115a · inbound

Reflexive Prompt Engineering: A Framework for Responsible Prompt Engineering and Interaction Design cites this paper.

Reflexive Prompt Engineering: A Framework for Responsible Prompt Engineering and Interaction Design A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T11:12:15.737786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b714a22-85cc-4696-8222-446962720f0f · inbound

MODP: Multi Objective Directional Prompting cites this paper.

MODP: Multi Objective Directional Prompting A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T10:14:32.375879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8678f145-7c79-419d-bf0e-4a486545b617 · inbound

Computational Experiments in Number Theory cites this paper.

Computational Experiments in Number Theory A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-22T19:32:00.923929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5356ef8f-ce5a-41b7-ac7f-2a7c82f1d7b8 · inbound

Computational Experiments in Number Theory cites this paper.

Computational Experiments in Number Theory A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T05:59:03.245066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8089bf3a-f275-4d30-8350-ca54057812e9 · inbound

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks cites this paper.

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T20:53:03.541363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 805d83e0-d2c2-4f36-a46e-da782bc4e606 · inbound

Incorporating Token Usage into Prompting Strategy Evaluation cites this paper.

Incorporating Token Usage into Prompting Strategy Evaluation A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T15:34:00.164806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83d0ca35-2fce-4ada-9a34-7bd695402526 · inbound

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions cites this paper.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:59.209312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 315393e8-71c1-4584-9392-f9b52a07cb8d · inbound

Extracting Research Instruments from Educational Literature Using LLMs cites this paper.

Extracting Research Instruments from Educational Literature Using LLMs A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:55.770476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d456d0a4-8489-41ac-9362-e85478deea84 · inbound

Fine-Tuning and Prompt Engineering of LLMs, for the Creation of Multi-Agent AI for Addressing Sustainable Protein Production Challenges cites this paper.

Fine-Tuning and Prompt Engineering of LLMs, for the Creation of Multi-Agent AI for Addressing Sustainable Protein Production Challenges A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T22:49:25.036937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f57cdd04-7be8-4337-a85e-b4850550b781 · inbound

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation cites this paper.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T16:27:23.182275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dde3a87-f714-4739-8d98-b3a57938d4c0 · inbound

Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software cites this paper.

Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T16:26:35.052035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c68d5f4d-b04c-45ca-b5d7-08151b64ca09 · inbound

From Prompt to Pipeline: Large Language Models for Scientific Workflow Development in Bioinformatics cites this paper.

From Prompt to Pipeline: Large Language Models for Scientific Workflow Development in Bioinformatics A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-15T17:52:52.626247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a27d1e6c-7ec9-4b0a-8f00-1a0752cf9c86 · inbound

PEEM: Prompt Engineering Evaluation Metrics for Interpretable Joint Evaluation of Prompts and Responses cites this paper.

PEEM: Prompt Engineering Evaluation Metrics for Interpretable Joint Evaluation of Prompts and Responses A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:00:02.957372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 29debcdb-eb0d-4b42-8c77-c7203e8be6c8 · inbound

MCERF: Advancing Multimodal LLM Evaluation of Engineering Documentation with Enhanced Retrieval cites this paper.

MCERF: Advancing Multimodal LLM Evaluation of Engineering Documentation with Enhanced Retrieval A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:30:48.221345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 371b3f4a-c21a-43b9-b6b4-faeff5350289 · inbound

MCERF: Advancing Multimodal LLM Evaluation of Engineering Documentation with Enhanced Retrieval cites this paper.

MCERF: Advancing Multimodal LLM Evaluation of Engineering Documentation with Enhanced Retrieval A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T06:07:40.107621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac0371a6-e361-4a6e-aed6-01dcf103de7d · inbound

Prompt-Driven Code Summarization: A Systematic Literature Review cites this paper.

Prompt-Driven Code Summarization: A Systematic Literature Review A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:35:18.579889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3c8e4f63-fedf-4a55-8527-0aa8e4a1169b · inbound

Mind the Prompt: Self-adaptive Generation of Task Plan Explanations via LLMs cites this paper.

Mind the Prompt: Self-adaptive Generation of Task Plan Explanations via LLMs A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:51:04.732401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 50d2cb7b-7708-4f05-9e5d-bf11da5a7375 · inbound

VAnim: Rendering-Aware Sparse State Modeling for Structure-Preserving Vector Animation cites this paper.

VAnim: Rendering-Aware Sparse State Modeling for Structure-Preserving Vector Animation A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 225

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:06:04.110646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a4750a5a-6b29-42be-abc2-b24eb0d1e65a · inbound

A Taxonomy of Single-Turn Textual Prompt Patterns cites this paper.

A Taxonomy of Single-Turn Textual Prompt Patterns A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:27:22.000353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b5baf02a-2e84-47a7-bd02-b0307352f9ac · 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 Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T00:20:37.229508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.