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Paper Citation Record · LEDGER

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping

As of 16 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 5 inbound Pith citation observations for arXiv:2505.07888.

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

pith.paper-citation-record.v1
2505.07888 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:36:18.509719Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:07:06.699161Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:09:46.146757Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact6
  • verified fuzzy1
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7abf0f28-79ed-4a49-87ed-50fc3514e05a · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping , " * write output.state after.block = add.period write newline

Reference 1

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no resolver link, observed 2026-08-15T22:36:18.318928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:36:18.318928Z digest=sha256:2841866fe6e2c5f06db3908bd490a8fe7ca4396e224c96527f882512773b8bb4

Observation d0860b99-547b-46ef-bdb0-68509bc827c4 · outbound

This paper cites write newline.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping write newline

Reference 2

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no resolver link, observed 2026-08-15T22:36:18.324972Z

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source=arxiv_source observed=2026-08-15T22:36:18.324972Z digest=sha256:3ebafe8f52dd17d5aeaf087472d0144aee8ba5364f83682fce779635ba9c05c9

Observation 331eb9c8-0573-461f-b306-8f39e38ecdb1 · outbound

This paper cites M.; and Ahmadi, A.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping M.; and Ahmadi, A

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-15T22:36:19.211898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T22:36:18.330640Z digest=sha256:7fa7531177ccb658f041613641b58538c9709ae73b4cc243aa037366731b5783

Observation 36970434-5ac1-485b-abf9-e1c6f5c12a9a · outbound

This paper cites LMStyle Benchmark: Evaluating Text Style Transfer for Chatbots.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping LMStyle Benchmark: Evaluating Text Style Transfer for Chatbots

Reference 4

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no resolver link, observed 2026-08-15T22:36:18.335504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:36:18.335504Z digest=sha256:882ff45d155806c061c8e04814cdd7b3c986c2f9c384b4cc78cf59c1a1a96e50

Observation 97e261a7-ed8a-4dcb-8bdd-66275b885f9e · outbound

This paper cites T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step

Reference 5

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no resolver link, observed 2026-08-15T22:36:18.340103Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T22:36:18.340103Z digest=sha256:835934ca0edacba2f11cc227cea83b4087e55f3b1ce5dd6adc5db5a20eb1cbcb

Observation e564dc29-ff42-47c2-9ead-87cccf0c5cec · outbound

This paper cites Using Prompts to Guide Large Language Models in Imitating a Real Person's Language Style.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Using Prompts to Guide Large Language Models in Imitating a Real Person's Language Style

Reference 6

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no resolver link, observed 2026-08-15T22:36:18.344458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:36:18.344458Z digest=sha256:d0380d034b04f25dad6afbdd6a945eb53ca1702f6edd95a09df99385cde371e7

Observation a9e0fb67-c2e9-448f-a4f9-0236c6790e94 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 7

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no resolver link, observed 2026-08-15T22:36:18.348892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:36:18.348892Z digest=sha256:71583de9cc537cde56157401b2d8469660754f1f8a315117360147bcd312e9ef

Observation 19701670-14bb-46d0-9a13-fbb5e4a2fffb · outbound

This paper cites Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks

Reference 8

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no resolver link, observed 2026-08-15T22:36:18.353551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:36:18.353551Z digest=sha256:5f8b348fb31e4d7c50ed2217154b6485c4e91bc58a6ed6d1325444669216f1c8

Observation e1168181-682a-4078-88ff-39d8291dc4c0 · outbound

This paper cites an unresolved cited work.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Unresolved cited work

Reference 9

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raw_fallback, observed 2026-08-15T22:36:19.195064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T22:36:18.358454Z digest=sha256:c41a9dd293bce001e572996f5db58de88a4da3e8b95cc82036ebdcb3882b8865

Observation 802749dd-b98b-4385-9b7e-85365f14cf16 · outbound

This paper cites A Probabilistic Formulation of Unsupervised Text Style Transfer.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping A Probabilistic Formulation of Unsupervised Text Style Transfer

Reference 10

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no resolver link, observed 2026-08-15T22:36:18.362777Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:36:18.362777Z digest=sha256:bdf042c4088f80e0c8cd60bf1b29118bc8fdcc7028b63205550a44bfa143c770

Observation 18a9a66b-d951-4562-b733-9dfdf3c11de4 · outbound

This paper cites PaSa: An LLM Agent for Comprehensive Academic Paper Search.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping PaSa: An LLM Agent for Comprehensive Academic Paper Search

Reference 11

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no resolver link, observed 2026-08-15T22:36:18.367509Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:36:18.367509Z digest=sha256:2f76f8284a1283f20944fcaa77b872117f1420669e07e268de3531bc668d1651

Observation 30f4fd31-3cef-433d-85ee-d8977fc5be76 · outbound

This paper cites Sentence-Level Content Planning and Style Specification for Neural Text Generation.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Sentence-Level Content Planning and Style Specification for Neural Text Generation

Reference 12

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verified exact
local_arxiv, observed 2026-08-15T22:36:19.036288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T22:36:18.372295Z digest=sha256:89b629f4e73b840bc2aa16fca453f5030bdfd4bbd254b5970b48855772d7c46d

Observation c044cf74-c231-4319-a501-5980537f5936 · outbound

This paper cites Understanding the planning of LLM agents: A survey.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Understanding the planning of LLM agents: A survey

Reference 13

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no resolver link, observed 2026-08-15T22:36:18.377020Z

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source=arxiv_source observed=2026-08-15T22:36:18.377020Z digest=sha256:89823c7d8e9eab17cc738b20f80ea8aa736623fea1b9f1fa3862a34fc2ce298f

Observation d7d181b4-f9fb-4842-8adb-a13a62ea33d8 · outbound

This paper cites Deep Learning for Text Style Transfer: A Survey.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Deep Learning for Text Style Transfer: A Survey

Reference 14

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verified exact
local_arxiv, observed 2026-08-15T22:36:19.000603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T22:36:18.380807Z digest=sha256:fe7bc1d116c17d5aaa118eb9f77ec52befacbf9f74116c9d426e2803f3c93d08

Observation b4469594-7eff-4c74-a966-bc40dd74ae49 · outbound

This paper cites AxCell: Automatic Extraction of Results from Machine Learning Papers.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping AxCell: Automatic Extraction of Results from Machine Learning Papers

Reference 15

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no resolver link, observed 2026-08-15T22:36:18.385045Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:36:18.385045Z digest=sha256:416fb9edd698892093f49a140a684799ff5ab3233143c4b32b82eee3970cb35f

Observation 824d52fc-28ae-42dd-9ad8-e5dbe7adbb21 · outbound

This paper cites Style-Specific Neurons for Steering LLMs in Text Style Transfer.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Style-Specific Neurons for Steering LLMs in Text Style Transfer

Reference 16

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verified exact
local_arxiv, observed 2026-08-15T22:36:18.968511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T22:36:18.389705Z digest=sha256:237e2ddbd9a4691a2b4f1937b71ab16a11a096cec3c76560972336e84e7bb9fc

Observation f38b1751-e348-4a41-a240-76954ea6b5d8 · outbound

This paper cites Textualized Agent-Style Reasoning for Complex Tasks by Multiple Round LLM Generation.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Textualized Agent-Style Reasoning for Complex Tasks by Multiple Round LLM Generation

Reference 17

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source=arxiv_source observed=2026-08-15T22:36:18.393879Z digest=sha256:dbd388e3747349ffb70762a89c4122c2d11b9b85e6c3b544678e281e1f636b32

Observation f179b145-99d5-463e-8df4-7b0b56432f2e · outbound

This paper cites Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities

Reference 18

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no resolver link, observed 2026-08-15T22:36:18.398218Z

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source=arxiv_source observed=2026-08-15T22:36:18.398218Z digest=sha256:aa3ed56e1e4259241e2674d62b76e807d6cd11c554b9eb6f3a6d6e90f0188178

Observation 940eda87-4659-48ad-bd4b-f553150c80a7 · outbound

This paper cites Prompt-Based Editing for Text Style Transfer.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Prompt-Based Editing for Text Style Transfer

Reference 19

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no resolver link, observed 2026-08-15T22:36:18.402840Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:36:18.402840Z digest=sha256:2fbbcd1e66a5eb5cd2a2663039445e33e47e77177572295596fdd58f6a1736a1

Observation f650f890-fadb-4e93-861c-b2cc9c46f95e · outbound

This paper cites Prefix-Tuning Based Unsupervised Text Style Transfer.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Prefix-Tuning Based Unsupervised Text Style Transfer

Reference 20

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verified exact
local_arxiv, observed 2026-08-15T22:36:18.900880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T22:36:18.407227Z digest=sha256:ed1c33e47cdab6af4cc0b23f65db95e45adcfe8664dda0f15c13e23dc9d532b0

Observation ec793492-0376-4251-9d7f-77b71cdb3ae2 · outbound

This paper cites Evaluating Style Transfer for Text.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Evaluating Style Transfer for Text

Reference 21

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no resolver link, observed 2026-08-15T22:36:18.411669Z

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source=arxiv_source observed=2026-08-15T22:36:18.411669Z digest=sha256:9fecdbdc46e7dd275fca575b3e4aafb37154cfe8718ebc03a2466dcd654260be

Observation 76890586-0369-41c2-aa74-eb05abda0410 · outbound

This paper cites Text Style Transfer: An Introductory Overview.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Text Style Transfer: An Introductory Overview

Reference 22

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no resolver link, observed 2026-08-15T22:36:18.416195Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:36:18.416195Z digest=sha256:5bc8b039ad4596d1a32dfb6c73b559deb3f6d9c0c478608868341216886556fc

Observation 0841fc0e-6994-4903-b47e-39fbe2f928b3 · outbound

This paper cites Polite Dialogue Generation Without Parallel Data.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Polite Dialogue Generation Without Parallel Data

Reference 23

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no resolver link, observed 2026-08-15T22:36:18.420896Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:36:18.420896Z digest=sha256:403d37cd8b2814fe1c476861ac4ad07cacd205554db44f250cd938dfc0ebf1d2

Observation c7b1bc42-7dee-46e0-b98f-5e03dc7e9da5 · outbound

This paper cites GPT-4 Technical Report.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping GPT-4 Technical Report

Reference 24

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no resolver link, observed 2026-08-15T22:36:18.425657Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:36:18.425657Z digest=sha256:009b5115408da9cf6ec323d831c9ad1327773d05c1917d3707ad7ca2e353241f

Observation 786855f4-fa1b-46dc-bdea-4bf9b29575e1 · outbound

This paper cites Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactions.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactions

Reference 25

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no resolver link, observed 2026-08-15T22:36:18.430295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:36:18.430295Z digest=sha256:cc298486ac2d36a59170651d25e2e05aa5580296b38f7a65e60ed29fded020a1

Observation d03545d5-93ec-4d7b-b0e7-9f7d7a51ea2d · outbound

This paper cites an unresolved cited work.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Unresolved cited work

Reference 26

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unresolved
raw_fallback, observed 2026-08-15T22:36:19.180915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T22:36:18.435200Z digest=sha256:1a4315035670777548873b5124b8eeae04af5ca9f474ec87ac55bf84068f21e8

Observation 57ec99eb-5c5c-45d1-b16b-265e14c7b62f · outbound

This paper cites Dear Sir or Madam, May I introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Dear Sir or Madam, May I introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-15T22:36:18.808141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T22:36:18.439463Z digest=sha256:37fef86e066419207a312c7847fd9c0ec99a99cfc25e6c2def8922530fe9c2bd

Observation 4a0892dc-3e69-4012-8ded-f47a1dd09375 · outbound

This paper cites TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling

Reference 28

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verified exact
local_arxiv, observed 2026-08-15T22:36:18.786327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T22:36:18.444100Z digest=sha256:9da0ac1a4738dd45e7c5f55298a07e59c8a08e2f5c28d8fa1c86a37e5cdcfe3a

Observation a1552d33-88aa-46e7-95fc-8fe570193b34 · outbound

This paper cites Conversation Style Transfer using Few-Shot Learning.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Conversation Style Transfer using Few-Shot Learning

Reference 29

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no resolver link, observed 2026-08-15T22:36:18.448524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:36:18.448524Z digest=sha256:49353193af31e45794c367f5045ab3b737352dc46854a952b26a11bf4bc66a58

Observation 9f0287b9-3c71-495a-b8d8-0f67fe8d0983 · outbound

This paper cites Style Transfer from Non-Parallel Text by Cross-Alignment.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Style Transfer from Non-Parallel Text by Cross-Alignment

Reference 30

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unresolved
no resolver link, observed 2026-08-15T22:36:18.452641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:36:18.452641Z digest=sha256:24465568761f507144368eb0c05c337aba3a7192d96a4c4bf9d96d874162a647

Observation 53556df9-e4b2-4b76-bdbe-f0104f5b3e76 · outbound

This paper cites Adapting Language Models for Non-Parallel Author-Stylized Rewriting.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Adapting Language Models for Non-Parallel Author-Stylized Rewriting

Reference 31

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metadata mismatch
local_arxiv, observed 2026-08-15T22:36:18.739278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T22:36:18.457835Z digest=sha256:dd3f479a2b3c5a32f027aa26243403299e27b176dbbd3da0c623d7c4e618c1bb

Observation 15dbe22f-1c0c-455c-b1f7-f06fa44e7dea · outbound

This paper cites Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning

Reference 32

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unresolved
no resolver link, observed 2026-08-15T22:36:18.462263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:36:18.462263Z digest=sha256:42a0fa47a4c20fce4d756d7c02119d592baeb2762c197c3d40dae55bbc48b7af

Observation 65e0fdab-6c6a-4289-9a0a-a48321896461 · outbound

This paper cites CAT-LLM: Style-enhanced Large Language Models with Text Style Definition for Chinese Article-style Transfer.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping CAT-LLM: Style-enhanced Large Language Models with Text Style Definition for Chinese Article-style Transfer

Reference 33

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unresolved
no resolver link, observed 2026-08-15T22:36:18.466758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:36:18.466758Z digest=sha256:7408347c90d306207c1f6cb1811c003cd7a9d3fd5fedd8895ed38a3673495213

Observation ed3c8932-b5db-4b1d-b7f6-22a3c2cd5512 · outbound

This paper cites an unresolved cited work.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Unresolved cited work

Reference 34

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unresolved
raw_fallback, observed 2026-08-15T22:36:19.166531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T22:36:18.472924Z digest=sha256:feb8295b1f72b71ca9002cafc25a0eadb97984932eaeb5c99ac7d70cb575b45a

Observation fc682713-2ac8-48f1-94e1-89539e2cdeba · outbound

This paper cites an unresolved cited work.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Unresolved cited work

Reference 35

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unresolved
raw_fallback, observed 2026-08-15T22:36:19.151681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T22:36:18.479544Z digest=sha256:a42da6634e5aae81913e6dac561199f0864d7963c866b14487a098741bb955c8

Observation 94108be9-bc25-416b-8807-35bfa2aebf40 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping LLaMA: Open and Efficient Foundation Language Models

Reference 36

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unresolved
no resolver link, observed 2026-08-15T22:36:18.483595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:36:18.483595Z digest=sha256:b7b7f69af84f9ea62f68b12ba490bcaae93959d957314ace7f886315ffd8f7c1

Observation 5803b138-6e42-4473-b9d0-c2ecf5b3fd8c · outbound

This paper cites an unresolved cited work.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Unresolved cited work

Reference 37

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unresolved
no resolver link, observed 2026-08-15T22:36:18.488130Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T22:36:18.488130Z digest=sha256:47487fc979cbebb6e6f9cbfb36352f2f69c15be219bca5f723f74bdfbb4f8c9c

Observation 59ecd7fe-8f2d-4ef9-a57c-896c7ef27cf9 · outbound

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

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 38

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unresolved
no resolver link, observed 2026-08-15T22:36:18.492150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:36:18.492150Z digest=sha256:f67c9edd553f6d5d092f782411bfa2205f491bc43abef35c41068e9cc6457e2c

Observation ecd3606a-378a-4ad6-b66e-4326b02c038e · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 39

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unresolved
no resolver link, observed 2026-08-15T22:36:18.496902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:36:18.496902Z digest=sha256:025f8b7d34da6a8169dfb09ed48ef8d884f5e9366a5ce52375c7a7a4b38f81e7

Observation 99ad30c9-f4b7-4b6c-8041-706a0a252c31 · outbound

This paper cites Distilling Text Style Transfer With Self-Explanation From LLMs.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Distilling Text Style Transfer With Self-Explanation From LLMs

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T22:36:18.501278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:36:18.501278Z digest=sha256:cd8a29f68b5add475e841b5f0f9fa7295f999efc962494cf1f72bed5114ab0bd

Observation 701810be-bd61-4422-b2a3-989ebad1132d · outbound

This paper cites DH-RAG: A Dynamic Historical Context-Powered Retrieval-Augmented Generation Method for Multi-Turn Dialogue.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping DH-RAG: A Dynamic Historical Context-Powered Retrieval-Augmented Generation Method for Multi-Turn Dialogue

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T22:36:18.505555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:36:18.505555Z digest=sha256:5c7705af578f4d90629bd8fb3b85a82e10c72fa7379ae18817c623cdfa6bb343

Observation a2a80f4b-f1bc-40a4-abe3-c9486342db52 · outbound

This paper cites Texygen: A Benchmarking Platform for Text Generation Models.

Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping Texygen: A Benchmarking Platform for Text Generation Models

Reference 42

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unresolved
no resolver link, observed 2026-08-15T22:36:18.509719Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T22:36:18.509719Z digest=sha256:bc6b82e63a42990d17255baa6a527b0fbe183a404582f779ad96e80ad2f8667c

Pith citing papers

Observation 491dce0f-4afd-4852-85dc-38ea8ec5d562 · inbound

The Evolution of Natural Language Processing: How Prompt Optimization and Language Models are Shaping the Future cites this paper.

The Evolution of Natural Language Processing: How Prompt Optimization and Language Models are Shaping the Future Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping

Reference 5

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unresolved
no resolver link, observed 2026-08-15T19:07:06.699161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:07:06.699161Z digest=sha256:83af8015d76632a7b552fa07d177cd540ad6a2adbec821ae8da6483e91e5926c

Observation 174b1f1b-6d31-42b8-aa16-e68d09dccc67 · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping

Reference 115

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:31:24.780872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-17T00:29:07.951709Z digest=sha256:e68cae5f0f5ca99032ddb5277c21941239b2664914b11bd55ab7ca9d1f8248e9

Observation 0d86fd84-e0c1-43d4-9da7-a431caef31f1 · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping

Reference 115

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unresolved
no resolver link, observed 2026-08-03T18:19:20.693952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:19:20.693952Z digest=sha256:0370b9ae4d5cf6fa12dd82c175aedae05079b22b5054061f2e02a199df7cb260

Observation 896e0a2f-0a0e-4bb5-b8f9-b0eeb089042e · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping

Reference 199

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metadata mismatch
arxiv_id, observed 2026-07-04T11:09:46.148527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-26T08:09:57.542558Z digest=sha256:5f49352b9e9277fb1f53fbf6a68a00fd1a8c0aaa3aa1a406c304924c983dcab7

Observation 77b27036-cb72-4b31-bcc8-7302af330714 · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping

Reference 199

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unresolved
no resolver link, observed 2026-08-02T10:27:18.436756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:27:18.436756Z digest=sha256:1805d386cee26d89a4380fb23f133bd4434fd0877c9beaa4c36b26ec6a149365