Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:41:40.721284Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2507.10177.
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 2026-08-06T17:41:40.721284Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
77 of 77 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 594e230a-7fed-4f52-a2f0-6f96b8f0cbe8 · outbound
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Reference 1
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Observation de4105d9-738b-49c9-a699-42653c8a4d62 · outbound
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Reference 2
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Observation ce3ef036-4ba5-43bd-83e8-ed074ceea303 · outbound
Detoxify: A framework for abusive text transformation using LLMs Mitsu, E
Reference 3
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Observation 1cdb98be-36b2-4fe2-a93b-b6a40ed3064f · outbound
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Reference 4
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Detoxify: A framework for abusive text transformation using LLMs Van Laer, The means to justify the end: Combating cyber harassment in social media, Journal of Business Ethics 123 (1) (2014) 85–98
Reference 5
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Observation 117e7107-db4a-4d72-98a5-a7dea1d70094 · outbound
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Detoxify: A framework for abusive text transformation using LLMs SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)
Reference 9
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Observation 51b7ac01-d7c4-440e-a647-f91f21beb5ac · outbound
Detoxify: A framework for abusive text transformation using LLMs Olkhovikov, G
Reference 10
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Observation e86ef880-68cf-4094-84c6-648e8ca153d7 · outbound
Detoxify: A framework for abusive text transformation using LLMs Cinelli, G
Reference 11
Source-reported events for the cited work
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Observation 9150a280-127a-4d0d-906f-24f1ac930e61 · outbound
Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work
Reference 12
Source-reported events for the cited work
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Observation f2c763e7-1d56-480e-9709-96c234850249 · outbound
Detoxify: A framework for abusive text transformation using LLMs Myers West, Censored, suspended, shadowbanned: User interpreta- tions of content moderation on social media platforms, New Media & Society 20 (11) (2018) 4366–4383
Reference 13
Source-reported events for the cited work
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Observation 27fbb5d1-39d1-420a-8af2-bbda28e6c28e · outbound
Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work
Reference 14
Source-reported events for the cited work
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Observation f6c07434-8dd2-42ea-bb6f-6f9db12078f9 · outbound
Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work
Reference 15
Source-reported events for the cited work
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Observation 6372fcec-e46b-4f88-8fb5-3725681d8f32 · outbound
Detoxify: A framework for abusive text transformation using LLMs Alrashidi, A
Reference 16
Source-reported events for the cited work
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Observation fabb3b84-0430-4bc3-9388-35a04232d4f8 · outbound
Detoxify: A framework for abusive text transformation using LLMs Schmidt, M
Reference 17
Source-reported events for the cited work
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Observation 4cc505d2-2526-4786-af6c-d3aac0c567e0 · outbound
Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work
Reference 18
Source-reported events for the cited work
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Observation 50fc6120-7878-4e48-8df4-54fb416fa4a4 · outbound
Detoxify: A framework for abusive text transformation using LLMs Natural Language Processing Advancements By Deep Learning: A Survey
Reference 19
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Observation a14ebce1-9d47-4c6f-8050-d674606beac6 · outbound
Detoxify: A framework for abusive text transformation using LLMs Wankhade, A
Reference 20
Source-reported events for the cited work
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Observation 5100ebf2-f0d0-4ee5-9939-289f8c1effcd · outbound
Detoxify: A framework for abusive text transformation using LLMs Language Models are Few-Shot Learners
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89e2c02c-f3b3-4af7-ab70-198345c54086 · outbound
Detoxify: A framework for abusive text transformation using LLMs A Comprehensive Overview of Large Language Models
Reference 22
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Observation 252e3905-d4aa-49ee-b2aa-c04dce746da5 · outbound
Detoxify: A framework for abusive text transformation using LLMs Chandra, A
Reference 23
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Observation 61f67d9f-ad3f-475a-95c3-b69c4fd837ab · outbound
Detoxify: A framework for abusive text transformation using LLMs Large Language Models (LLMs): Deployment, Tokenomics and Sustainability
Reference 24
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Observation e7489723-ad49-4bd4-af3b-94779e3a23ac · outbound
Detoxify: A framework for abusive text transformation using LLMs Gemma: Open Models Based on Gemini Research and Technology
Reference 25
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Unavailable: canonical work link unavailable.
Observation c4400337-62f2-422f-a8cf-cc8fa7846e96 · outbound
Detoxify: A framework for abusive text transformation using LLMs Sridhar, C
Reference 26
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Observation 16171092-1a4e-48ed-8e44-60918e9ac769 · outbound
Detoxify: A framework for abusive text transformation using LLMs Bandi, P
Reference 27
Source-reported events for the cited work
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Observation e129a29e-1ca5-4db0-ae0c-e0e1a4f55558 · outbound
Detoxify: A framework for abusive text transformation using LLMs ChatGPT is not all you need. A State of the Art Review of large Generative AI models
Reference 28
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Observation d0b9030d-9ea4-42b6-bc87-77c3fa6ca324 · outbound
Detoxify: A framework for abusive text transformation using LLMs Amirifar, S
Reference 29
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Observation 611fdfa3-2f1f-4e33-a301-44ddd690ec37 · outbound
Detoxify: A framework for abusive text transformation using LLMs Jaremko, D
Reference 30
Source-reported events for the cited work
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Observation c9059e8c-3433-4903-8d61-01887a58ac3d · outbound
Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work
Reference 31
Source-reported events for the cited work
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Observation 5d28bd81-2fff-4e31-8130-b83074590fe8 · outbound
Detoxify: A framework for abusive text transformation using LLMs Megawati, H
Reference 32
Source-reported events for the cited work
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Observation 91079120-a6fd-4830-922f-824ae8d8407f · outbound
Detoxify: A framework for abusive text transformation using LLMs Lazebnik, A
Reference 33
Source-reported events for the cited work
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Observation 0a8cf225-29db-4cf7-8cce-4cce655f81ff · outbound
Detoxify: A framework for abusive text transformation using LLMs An evaluation of LLMs and Google Translate for translation of selected Indian languages via sentiment and semantic analyses
Reference 34
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Observation 32d45fb8-e7c2-4caf-8426-2eb866707aba · outbound
Detoxify: A framework for abusive text transformation using LLMs Novgorodov, I
Reference 35
Source-reported events for the cited work
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Observation 5dbf3bd5-c4ce-477f-9038-41aaa47874e8 · outbound
Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work
Reference 36
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 23919602-3d51-4ce2-85dd-d6fcd02d2e56 · outbound
Detoxify: A framework for abusive text transformation using LLMs An Introduction to Convolutional Neural Networks
Reference 37
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7233deb0-317d-477b-b3a1-9e26e36ee0bd · outbound
Detoxify: A framework for abusive text transformation using LLMs Graves, J
Reference 38
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 22de5df8-4c69-4881-b88e-f3afee7d8222 · outbound
Detoxify: A framework for abusive text transformation using LLMs Attention Is All You Need
Reference 39
Source-reported events for the cited work
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Observation db67ce99-aa67-4758-9d2e-7b20131a607d · outbound
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Reference 40
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Observation ef298629-8faa-4dc6-b1b0-c925324d6447 · outbound
Detoxify: A framework for abusive text transformation using LLMs Zhang, D
Reference 41
Source-reported events for the cited work
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Observation c0a18302-a5a9-463c-8ce2-2524492ec8ec · outbound
Detoxify: A framework for abusive text transformation using LLMs BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 42
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Observation dffb5f0c-23d1-4c0e-b769-cbbeba7ff8d4 · outbound
Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work
Reference 43
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Unavailable: canonical work link unavailable.
Observation e047d6df-b20e-4f0f-a2da-d85e12cc1e53 · outbound
Detoxify: A framework for abusive text transformation using LLMs Tackling Online Abuse: A Survey of Automated Abuse Detection Methods
Reference 44
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Observation 4e765803-f5ff-4af7-8d6a-27e04e5e87ad · outbound
Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work
Reference 45
Source-reported events for the cited work
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Observation e813fd27-9721-40ca-9a80-be6107469118 · outbound
Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work
Reference 46
Source-reported events for the cited work
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Observation 14fa1986-e5ca-4872-88fd-013a001589c4 · outbound
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Reference 47
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Detoxify: A framework for abusive text transformation using LLMs Guarcello, P
Reference 48
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Observation 311dd842-776c-44cb-a79c-d11ff5c6236e · outbound
Detoxify: A framework for abusive text transformation using LLMs Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction
Reference 49
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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 02ab7c0e-b10e-4127-a59e-9796bf63fa60 · outbound
Detoxify: A framework for abusive text transformation using LLMs Caselli, V
Reference 50
Source-reported events for the cited work
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Detoxify: A framework for abusive text transformation using LLMs URL https://aclanthology.org/2021.woah-1.3/
Reference 51
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f5d577a-0300-47d7-b314-8cbc90a0240f · outbound
Detoxify: A framework for abusive text transformation using LLMs Chandra, G
Reference 52
Source-reported events for the cited work
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Observation 90581d7c-9484-4f86-b510-998496090bff · outbound
Detoxify: A framework for abusive text transformation using LLMs Gemini: A Family of Highly Capable Multimodal Models
Reference 53
Source-reported events for the cited work
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Observation 18e7a066-8b3d-47fb-b3b8-f1a484ba8b5b · outbound
Detoxify: A framework for abusive text transformation using LLMs Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Reference 54
Source-reported events for the cited work
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Observation 8a684b21-220a-49d4-a821-06d9ca2ee18a · outbound
Detoxify: A framework for abusive text transformation using LLMs The Llama 3 Herd of Models
Reference 55
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Detoxify: A framework for abusive text transformation using LLMs GPT-4 Technical Report
Reference 56
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Observation 2eee4dee-af95-446c-b84c-3d79c559950c · outbound
Detoxify: A framework for abusive text transformation using LLMs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 57
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 22bfceea-776d-4323-922c-55f2ef0bc2f9 · outbound
Detoxify: A framework for abusive text transformation using LLMs DeepSeek-V3 Technical Report
Reference 58
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Observation 1b32ad3d-33b4-40a9-95f9-a623fd4ba07c · outbound
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Reference 60
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Reference 61
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Observation 432b1b35-44fb-435e-9ebd-d116219bab43 · outbound
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Reference 62
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Detoxify: A framework for abusive text transformation using LLMs SenWave: Monitoring the Global Sentiments under the COVID-19 Pandemic
Reference 63
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Observation b3d58a11-d43a-4df4-b58b-1df3c09e3199 · outbound
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Reference 64
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Observation d2ba413f-2fe6-42e9-b8c0-865ddbda4eaa · outbound
Detoxify: A framework for abusive text transformation using LLMs Adam: A Method for Stochastic Optimization
Reference 65
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Observation b4a8a83c-8ccb-449c-a3b0-2d5ccf289d47 · outbound
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Reference 66
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Detoxify: A framework for abusive text transformation using LLMs Vidgen, T
Reference 67
Source-reported events for the cited work
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Observation 7ace788c-b0a7-42bb-98bf-1712a1755bf6 · outbound
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Reference 68
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Observation a87d936f-df7d-4408-95f1-658968e3a535 · outbound
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Reference 69
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Reference 70
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Unavailable: canonical work link unavailable.
Observation bf4f2f7e-dfb3-4c06-bb0f-25bbf445856d · outbound
Detoxify: A framework for abusive text transformation using LLMs UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Reference 71
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e65c69e9-2917-42a8-b32b-eef3643dd83f · outbound
Detoxify: A framework for abusive text transformation using LLMs Barbieri, J
Reference 72
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 808861e5-9bb2-42ee-89ee-ae2a46c3e212 · outbound
Detoxify: A framework for abusive text transformation using LLMs Sykora, S
Reference 73
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 4b02eb01-57b4-447d-a530-9ab6fcb203a4 · outbound
Detoxify: A framework for abusive text transformation using LLMs Founta, C
Reference 74
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8049c5be-3f2b-443a-a324-ba27038e245b · outbound
Detoxify: A framework for abusive text transformation using LLMs Walia, Toxicity in the digital age: A review of literature on online toxic behaviors and social media platforms (05 2023)
Reference 75
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2c42c3c-e143-4e8c-90be-f3c2387546c5 · outbound
Detoxify: A framework for abusive text transformation using LLMs Fortuna, S
Reference 76
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7aa7c371-4573-4d6d-8a6a-b3afb640a1cb · outbound
Detoxify: A framework for abusive text transformation using LLMs Mistral 7B
Reference 77
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c8bf3da-a540-41ec-b0c1-02849a63d287 · outbound
Detoxify: A framework for abusive text transformation using LLMs Ngiam, A
Reference 78
Source-reported events for the cited work
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No inbound Pith citation observations are available.