Paper Citation Record · LEDGER

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences

As of 9 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2506.11681.

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

pith.paper-citation-record.v1
2506.11681 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:07:20.752825Z

measured 23 of 23 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

verified exact0
verified fuzzy11
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f4d56378-7bbd-4e86-b23f-d7b4f3ac01f7 · outbound

This paper cites Saggion and G.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences Saggion and G

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:07:21.065744Z

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.

Observation ecc6c88d-8cc1-4ed9-89d0-570420917c2c · outbound

This paper cites Data-Driven Sentence Simplification: Survey and Benchmark,.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences Data-Driven Sentence Simplification: Survey and Benchmark,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:07:21.056032Z

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.

Observation fd430b44-6b67-4863-a96a-dddc8a8310f3 · outbound

This paper cites Sentence Simplification via Large Language Models.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences Sentence Simplification via Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:20.689089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a572c798-71eb-4b46-8727-88ff71b32cc8 · outbound

This paper cites GPT-4o: Multimodal Language Model,.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences GPT-4o: Multimodal Language Model,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:07:21.045726Z

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.

Observation 37903acd-02da-4a57-a138-f025a2051102 · outbound

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

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences Gemini: A Family of Highly Capable Multimodal Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:20.695753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a065aee9-d31d-4af3-b823-7ba40d46f3ad · outbound

This paper cites Introducing Perplexity Deep Research,.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences Introducing Perplexity Deep Research,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:07:21.035974Z

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.

Observation 49c51ea4-edee-4977-80bc-455b7e3bd732 · outbound

This paper cites The Prompt Report: A Systematic Survey of Prompt Engineering Techniques.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:20.702857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0c474b0-8ec8-40d5-aa34-16241a01a799 · outbound

This paper cites Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:20.706134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06e3e99c-a91e-45d3-bfc8-bf4c689c6649 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences Chain-of-thought prompting elicits reasoning in large language models,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:07:21.024991Z

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.

Observation 89c3f0a4-dab9-4733-9e95-06b0435d734a · outbound

This paper cites A Survey on In-context Learning.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences A Survey on In-context Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:20.711774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06ab692b-3399-4020-a5a0-c0ed5e735a2d · outbound

This paper cites Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:20.715124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35532825-4ccf-412c-b91e-c92d29b9ed6f · outbound

This paper cites Meta-in-context learning in large language models,.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences Meta-in-context learning in large language models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:07:21.012249Z

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.

Observation e8aec661-d4a1-4a37-8eaa-da9e4866179b · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:20.721584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccf76b2d-4a6e-490b-acca-e0f70eeafdea · outbound

This paper cites Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:20.724941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac392171-0ad0-4c85-a993-5aacf3404329 · outbound

This paper cites Multi-Stage Prompting for Next Best Agent Recommendations in Adaptive Workflows,.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences Multi-Stage Prompting for Next Best Agent Recommendations in Adaptive Workflows,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:07:20.998161Z

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.

Observation f7b04c6d-bf80-4b09-a7b8-a17ac92af637 · outbound

This paper cites Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:20.731350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd95191b-5292-40de-ba17-104aaca2da7c · outbound

This paper cites Multi-Agent Collaboration Mechanisms: A Survey of LLMs.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences Multi-Agent Collaboration Mechanisms: A Survey of LLMs

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:20.734462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0ed1dcd-24cc-492b-a63d-c55a136f8fd0 · outbound

This paper cites LLM Multi-Agent Systems: Challenges and Open Problems.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences LLM Multi-Agent Systems: Challenges and Open Problems

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:20.737667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0266041-d159-46df-a022-dfcc99a9d8cd · outbound

This paper cites Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:20.740761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74f86f1e-7733-49ef-81a5-09f40a5129f8 · outbound

This paper cites Automated program synthesis from object-oriented natural language for computer games,.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences Automated program synthesis from object-oriented natural language for computer games,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:07:20.986806Z

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.

Observation 2cc26027-c466-4356-bd4b-2a246adaac46 · outbound

This paper cites Multi-phase context vectors for generating feedback for natural-language based programming,.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences Multi-phase context vectors for generating feedback for natural-language based programming,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:07:20.974563Z

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.

Observation 633044bd-0897-40ec-a5c0-9d8e8f566d00 · outbound

This paper cites On the ethical considerations of text simplification,.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences On the ethical considerations of text simplification,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:07:20.954845Z

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.

Observation 08d28c22-7f9f-4d74-bd0a-99b51cd40e36 · outbound

This paper cites Can knowledge graphs reduce hallucinations in LLMs? A survey,.

A Hybrid Multi-Agent Prompting Approach for Simplifying Complex Sentences Can knowledge graphs reduce hallucinations in LLMs? A survey,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:07:20.919987Z

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.

Pith citing papers

No inbound Pith citation observations are available.