Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T05:48:15.473919Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 5 inbound Pith citation observations for arXiv:2502.08281.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T05:48:15.473919Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T13:00:05.708319Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T15:09:55.678716Z
53 of 53 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation aba514dc-ddca-41a7-9dfa-be770d776c1c · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Ucca: A semantics-based grammatical annotation scheme
Reference 1
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Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Lexi: A tool for adaptive, personal- ized text simplification
Reference 5
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Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Text simplification tools for spanish
Reference 7
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Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Paragraph-level sim- plification of medical texts
Reference 11
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Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Collabora- tive document simplification using multi-agent systems
Reference 12
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Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Abcd: A graph framework to con- vert complex sentences to a covering set of simple sen- tences
Reference 14
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Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Text simplification for legal domain: {i} nsights and challenges
Reference 15
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Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Jades: New text simplification dataset in japanese targeted at non-native speakers
Reference 16
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Observation 23e5f5b2-b7b6-498e-82e1-d0127aea2f59 · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification DeBERTa: Decoding-enhanced BERT with Disentangled Attention
Reference 17
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Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification BLESS: Benchmarking Large Language Models on Sentence Simplification
Reference 19
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Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Derivation of new readabil- ity formulas (automated readability index, fog count and flesch reading ease formula) for navy enlisted personnel
Reference 20
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Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Unresolved cited work
Reference 22
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Observation 2485cd5c-dd4d-446f-b1c7-d250cce1f4d3 · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Joty, Caiming Xiong, and Chien- Sheng Wu
Reference 23
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Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Reference 24
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Observation 25ac17da-69f5-4aec-a668-9b74e0a06d83 · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification MANTIS at TSAR-2022 Shared Task: Improved Unsupervised Lexical Simplification with Pretrained Encoders
Reference 25
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Observation c3a03c71-01d7-4992-9afe-547865bfec35 · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Multilingual lexical sim- plification via paraphrase generation
Reference 26
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Observation a579f6b2-5927-4c37-8be7-7ca7c1268cfb · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification An unsupervised method for building sen- tence simplification corpora in multiple languages
Reference 27
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Observation b851d3b0-e962-4f20-b9c2-f352a61b2da1 · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification MUSS: Multilingual unsupervised sentence simplification by min- ing paraphrases
Reference 29
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Observation d2ae8260-9bc9-4431-9a09-dc86c00447ab · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification A document-level text simplifica- tion dataset for japanese
Reference 30
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Observation 16187f0f-b9d4-4324-aa01-d53cb73d4501 · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Cohen, and Anastasia Shimorina
Reference 31
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Observation fd89064c-1bcd-4704-9a67-7db5eca8ca08 · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Beyond reference: Evaluating high quality translations better than human references
Reference 33
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Observation ce128588-c83c-4eb7-ba06-76a2c195c3ab · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Automatic text simplification for french: model fine-tuning for simplicity assessment and simpler text generation
Reference 34
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Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Unsupervised lexical simplification for non-nativ e speakers
Reference 35
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Observation 2433975e-c371-4992-99ee-173527767535 · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Chinese lexical substitution: Dataset and method
Reference 38
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Observation 476e8b8c-e48b-4081-9c4b-9e313b2dba8e · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Making it simplext: Implementation and evaluation of a text simplification system for spanish
Reference 39
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Observation f9b99721-a53b-4c87-8105-31eaac1230bd · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Improving Sequence-to-Sequence Models for Abstractive Text Summarization Using Meta Heuristic Approaches
Reference 41
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Observation a6261bb7-5379-4c7c-970e-81e64cd29469 · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Exploring german multi-level text simpli- fication
Reference 42
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Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Simple and effective text simplification using se- mantic and neural methods
Reference 43
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Observation 66bfc4c3-e0da-457f-b90e-28e4a07ade01 · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Document-level text simplification: Dataset, crite- ria and baseline
Reference 44
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Observation 66085d11-9479-4113-baef-365713830025 · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Problems in current text simplification re- search: New data can help
Reference 45
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Observation 211029e3-9ddd-435e-a4c6-71d0d74d768f · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Optimizing sta- tistical machine translation for text simplification
Reference 46
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Observation 22d01a01-439d-46f8-927c-b0520f2c1320 · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation
Reference 47
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Observation 45b2f577-3dfd-4e20-9c5d-46cd70644547 · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Semantic graphs for syntactic simplifi- cation: A revisit from the age of llm
Reference 48
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Observation 4fcedad0-3e29-4b6b-aba1-da2874a40eb8 · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification BARTScore: Evaluating Generated Text as Text Generation
Reference 49
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Observation a0b9c0f7-7f4e-4457-a435-b64651348f2e · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Predicting sentence deletions for text simplification using a functional discourse structure
Reference 50
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Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Prompting large language model for machine translation: A case study
Reference 51
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Observation 65eb7782-359d-41f3-b83f-7d0e48b6a8b8 · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Benchmarking large language models for news summarization
Reference 52
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Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification
Reference 53
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Observation ae2a02be-54de-492f-85f4-d8103a82177e · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Fine-grained text simplification in french: steps towards a better grammaticality
Reference 1975
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Observation e066f4ee-f2a7-4ab4-8f4e-cd41be32ba35 · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Lsbert: Lexical simpli- fication based on bert
Reference 2002
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Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Lens: A learnable evaluation met- ric for text simplification
Reference 2010
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Observation 7cc42f9e-9b29-4d9b-9673-34d5145f3d1c · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Mcts: A multi- reference chinese text simplification dataset
Reference 2012
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Observation b2e6f3c3-4f25-4c57-afe4-0ea648128cbc · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Automated text simplification: a survey
Reference 2013
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Observation a0cd08b9-180e-44eb-9a01-a45a27ed41f1 · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification
Reference 2015
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Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Bleu: a method for au- tomatic evaluation of machine translation
Reference 2016
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd43c77a-eb66-46e1-8fc8-a6ccd4aae488 · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositions
Reference 2017
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Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Learning to split and rephrase from wikipedia edit history
Reference 2018
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Observation e5b55689-f8ba-44d1-940a-a2c2f4984a87 · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Text simplification of patent documents
Reference 2020
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Observation 793548ba-59f9-4afd-8896-5e6d71cce4ab · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification UniHD at TSAR-2022 shared task: Is compute all we need for lexical simplification? In TSAR, pages 251– 258,
Reference 2021
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Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Abstract meaning representation for sembanking
Reference 2022
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Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Deep non-rigid structure-from-motion: A sequence-to-sequence transla- tion perspective
Reference 2023
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Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Document-level planning for text sim- plification
Reference 2024
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Observation a46de2c7-6a68-473f-ba64-9a8f2b0770a3 · outbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Sentence Simplification via Large Language Models
Reference 2025
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Observation 2d99e617-f8ec-4509-80e0-2547e5fef89c · inbound
Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification
Reference 53
Source-reported events for the cited work
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Observation 305cac1a-baf8-416d-bfd7-ed63662a90fd · inbound
APIO: Automatic Prompt Induction and Optimization for Grammatical Error Correction and Text Simplification Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification
Reference 18
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Observation 192e0310-de27-4114-a5b5-f99e1e063da0 · inbound
Human--LLM Collaboration Is Transforming Complexity Metrics in Scientific Texts Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification
Reference 21
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Observation 8c7a6cb8-ed47-46a0-b1a4-1645820efe50 · inbound
A Human-in-the-Loop Corpus for LLM-Based Simplification of Scientific Summaries Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification
Reference 8
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Example-Guided Prompting for Document-Level Text Simplification Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification
Reference 19
Source-reported events for the cited work
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