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Paper Citation Record · LEDGER

Detoxify: A framework for abusive text transformation using LLMs

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.

pith.paper-citation-record.v1
2507.10177 v2

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:41:40.721284Z

measured 77 of 77 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

77 of 77 outbound references displayed

  • verified exact9
  • verified fuzzy22
  • unresolved42
  • parse uncertain0
  • malformed identifier4
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 594e230a-7fed-4f52-a2f0-6f96b8f0cbe8 · outbound

This paper cites an unresolved cited work.

Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work

Reference 1

Resolution
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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.

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Observation de4105d9-738b-49c9-a699-42653c8a4d62 · outbound

This paper cites an unresolved cited work.

Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work

Reference 2

Resolution
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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.

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Observation ce3ef036-4ba5-43bd-83e8-ed074ceea303 · outbound

This paper cites Mitsu, E.

Detoxify: A framework for abusive text transformation using LLMs Mitsu, E

Reference 3

Resolution
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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.

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Observation 1cdb98be-36b2-4fe2-a93b-b6a40ed3064f · outbound

This paper cites an unresolved cited work.

Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work

Reference 4

Resolution
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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.

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Observation e970f4cb-baa4-41c6-ab4a-d735b1bc33d7 · outbound

This paper cites Van Laer, The means to justify the end: Combating cyber harassment in social media, Journal of Business Ethics 123 (1) (2014) 85–98.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:41:43.941931Z

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.

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Observation 117e7107-db4a-4d72-98a5-a7dea1d70094 · outbound

This paper cites an unresolved cited work.

Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:41:43.931950Z

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.

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Observation d4334365-6092-4780-b37c-b6c6974b4260 · outbound

This paper cites Hudders, S.

Detoxify: A framework for abusive text transformation using LLMs Hudders, S

Reference 7

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-06T17:41:33.816934Z digest=sha256:c3844a447a1d816cc029e689df4c472ef1f1c0ae6ded6a56ebece0a8e84822b0

Observation 237b0281-618e-45bc-a79e-257011ec77de · outbound

This paper cites Richards, P.

Detoxify: A framework for abusive text transformation using LLMs Richards, P

Reference 8

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-06T17:41:33.963687Z digest=sha256:16f392d37fc289ee60783232a3ca63de82c6af78af1d971dd75b9b692fbf0c19

Observation a1ff8135-6bf2-4810-8c97-dfa98820371f · outbound

This paper cites SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020).

Detoxify: A framework for abusive text transformation using LLMs SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)

Reference 9

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 51b7ac01-d7c4-440e-a647-f91f21beb5ac · outbound

This paper cites Olkhovikov, G.

Detoxify: A framework for abusive text transformation using LLMs Olkhovikov, G

Reference 10

Resolution
verified fuzzy
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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.

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Observation e86ef880-68cf-4094-84c6-648e8ca153d7 · outbound

This paper cites Cinelli, G.

Detoxify: A framework for abusive text transformation using LLMs Cinelli, G

Reference 11

Resolution
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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.

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Observation 9150a280-127a-4d0d-906f-24f1ac930e61 · outbound

This paper cites an unresolved cited work.

Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work

Reference 12

Resolution
unresolved
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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.

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Observation f2c763e7-1d56-480e-9709-96c234850249 · outbound

This paper cites Myers West, Censored, suspended, shadowbanned: User interpreta- tions of content moderation on social media platforms, New Media & Society 20 (11) (2018) 4366–4383.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:41:43.862800Z

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.

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Observation 27fbb5d1-39d1-420a-8af2-bbda28e6c28e · outbound

This paper cites an unresolved cited work.

Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:41:43.852124Z

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.

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Observation f6c07434-8dd2-42ea-bb6f-6f9db12078f9 · outbound

This paper cites an unresolved cited work.

Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:41:43.842640Z

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.

source=pdf_text observed=2026-08-06T17:41:34.602768Z digest=sha256:faa81e07ccb56696ec09a62cd291bf2fdd437e1437e807a640afb0ad2d984667

Observation 6372fcec-e46b-4f88-8fb5-3725681d8f32 · outbound

This paper cites Alrashidi, A.

Detoxify: A framework for abusive text transformation using LLMs Alrashidi, A

Reference 16

Resolution
verified fuzzy
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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.

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Observation fabb3b84-0430-4bc3-9388-35a04232d4f8 · outbound

This paper cites Schmidt, M.

Detoxify: A framework for abusive text transformation using LLMs Schmidt, M

Reference 17

Resolution
verified fuzzy
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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.

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Observation 4cc505d2-2526-4786-af6c-d3aac0c567e0 · outbound

This paper cites an unresolved cited work.

Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work

Reference 18

Resolution
unresolved
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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.

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Observation 50fc6120-7878-4e48-8df4-54fb416fa4a4 · outbound

This paper cites Natural Language Processing Advancements By Deep Learning: A Survey.

Detoxify: A framework for abusive text transformation using LLMs Natural Language Processing Advancements By Deep Learning: A Survey

Reference 19

Resolution
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no resolver link, observed 2026-08-06T17:41:34.968772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a14ebce1-9d47-4c6f-8050-d674606beac6 · outbound

This paper cites Wankhade, A.

Detoxify: A framework for abusive text transformation using LLMs Wankhade, A

Reference 20

Resolution
verified fuzzy
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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.

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Observation 5100ebf2-f0d0-4ee5-9939-289f8c1effcd · outbound

This paper cites Language Models are Few-Shot Learners.

Detoxify: A framework for abusive text transformation using LLMs Language Models are Few-Shot Learners

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 89e2c02c-f3b3-4af7-ab70-198345c54086 · outbound

This paper cites A Comprehensive Overview of Large Language Models.

Detoxify: A framework for abusive text transformation using LLMs A Comprehensive Overview of Large Language Models

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 252e3905-d4aa-49ee-b2aa-c04dce746da5 · outbound

This paper cites Chandra, A.

Detoxify: A framework for abusive text transformation using LLMs Chandra, A

Reference 23

Resolution
verified exact
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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.

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Observation 61f67d9f-ad3f-475a-95c3-b69c4fd837ab · outbound

This paper cites Large Language Models (LLMs): Deployment, Tokenomics and Sustainability.

Detoxify: A framework for abusive text transformation using LLMs Large Language Models (LLMs): Deployment, Tokenomics and Sustainability

Reference 24

Resolution
verified exact
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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.

source=pdf_text observed=2026-08-06T17:41:35.370024Z digest=sha256:8a0998737d1cdca81dc3b70b3cc1818ad6ffd4bdffd0b6acd47bfb3fd9f92516

Observation e7489723-ad49-4bd4-af3b-94779e3a23ac · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Detoxify: A framework for abusive text transformation using LLMs Gemma: Open Models Based on Gemini Research and Technology

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T17:41:35.469774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:35.469774Z digest=sha256:98fde4e61b16cab9d4a500e44486165d18c42c3df6a770a97496b6d6a9f83bd7

Observation c4400337-62f2-422f-a8cf-cc8fa7846e96 · outbound

This paper cites Sridhar, C.

Detoxify: A framework for abusive text transformation using LLMs Sridhar, C

Reference 26

Resolution
verified fuzzy
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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.

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Observation 16171092-1a4e-48ed-8e44-60918e9ac769 · outbound

This paper cites Bandi, P.

Detoxify: A framework for abusive text transformation using LLMs Bandi, P

Reference 27

Resolution
verified fuzzy
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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.

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Observation e129a29e-1ca5-4db0-ae0c-e0e1a4f55558 · outbound

This paper cites ChatGPT is not all you need. A State of the Art Review of large Generative AI models.

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:41:35.736633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d0b9030d-9ea4-42b6-bc87-77c3fa6ca324 · outbound

This paper cites Amirifar, S.

Detoxify: A framework for abusive text transformation using LLMs Amirifar, S

Reference 29

Resolution
verified fuzzy
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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.

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Observation 611fdfa3-2f1f-4e33-a301-44ddd690ec37 · outbound

This paper cites Jaremko, D.

Detoxify: A framework for abusive text transformation using LLMs Jaremko, D

Reference 30

Resolution
verified fuzzy
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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.

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Observation c9059e8c-3433-4903-8d61-01887a58ac3d · outbound

This paper cites an unresolved cited work.

Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:41:43.418469Z

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.

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Observation 5d28bd81-2fff-4e31-8130-b83074590fe8 · outbound

This paper cites Megawati, H.

Detoxify: A framework for abusive text transformation using LLMs Megawati, H

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:41:43.351847Z

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.

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Observation 91079120-a6fd-4830-922f-824ae8d8407f · outbound

This paper cites Lazebnik, A.

Detoxify: A framework for abusive text transformation using LLMs Lazebnik, A

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:41:43.281276Z

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.

source=pdf_text observed=2026-08-06T17:41:36.138167Z digest=sha256:fb5202ac61f70fb50e67d16da60c385d8bd251a3921838d182a99018ae60b749

Observation 0a8cf225-29db-4cf7-8cce-4cce655f81ff · outbound

This paper cites An evaluation of LLMs and Google Translate for translation of selected Indian languages via sentiment and semantic analyses.

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

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:41:42.854322Z

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.

source=pdf_text observed=2026-08-06T17:41:36.221411Z digest=sha256:0a955df7402d6f8fdb848d14eb79def57b6a1a7c78fdff5deea4c25e86ef51d5

Observation 32d45fb8-e7c2-4caf-8426-2eb866707aba · outbound

This paper cites Novgorodov, I.

Detoxify: A framework for abusive text transformation using LLMs Novgorodov, I

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:41:43.216436Z

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.

source=pdf_text observed=2026-08-06T17:41:36.292025Z digest=sha256:738581d633674d737775e60344d6036d9cd35ff7867c29f7e6b46adfd1de100c

Observation 5dbf3bd5-c4ce-477f-9038-41aaa47874e8 · outbound

This paper cites an unresolved cited work.

Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:41:43.144076Z

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.

source=pdf_text observed=2026-08-06T17:41:36.372760Z digest=sha256:3902bdfef92ece2ae74e323e6c885ce37af21fb0b4322a147d4043950f179bfb

Observation 23919602-3d51-4ce2-85dd-d6fcd02d2e56 · outbound

This paper cites An Introduction to Convolutional Neural Networks.

Detoxify: A framework for abusive text transformation using LLMs An Introduction to Convolutional Neural Networks

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:36.473682Z digest=sha256:bc0037ee139077ed8d33d943e8ddbde284a0ef71f86a3c7cb2ccd513f9ce8f95

Observation 7233deb0-317d-477b-b3a1-9e26e36ee0bd · outbound

This paper cites Graves, J.

Detoxify: A framework for abusive text transformation using LLMs Graves, J

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:41:43.103939Z

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.

source=pdf_text observed=2026-08-06T17:41:36.575534Z digest=sha256:5d618a1858657cc71b8546793991881092597c9023e04d56b040feb5fef15ac4

Observation 22de5df8-4c69-4881-b88e-f3afee7d8222 · outbound

This paper cites Attention Is All You Need.

Detoxify: A framework for abusive text transformation using LLMs Attention Is All You Need

Reference 39

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no resolver link, observed 2026-08-06T17:41:36.708225Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:36.708225Z digest=sha256:c7f9f8a9081fac14263835bd2f90bc51d39dfbf83f98d1bd3dcf75066c26a067

Observation db67ce99-aa67-4758-9d2e-7b20131a607d · outbound

This paper cites an unresolved cited work.

Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:41:43.086136Z

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.

source=pdf_text observed=2026-08-06T17:41:36.789324Z digest=sha256:122ea3c2534105fdf5435c2a94e13dd0301691458516406766d8ce7ff01cd8cd

Observation ef298629-8faa-4dc6-b1b0-c925324d6447 · outbound

This paper cites Zhang, D.

Detoxify: A framework for abusive text transformation using LLMs Zhang, D

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:41:43.066406Z

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.

source=pdf_text observed=2026-08-06T17:41:36.867009Z digest=sha256:0e60e85f72ea1ca5a3558d8ab76996a16e30ef65cc4a90ab23a6cd6bd90b80fc

Observation c0a18302-a5a9-463c-8ce2-2524492ec8ec · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

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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no resolver link, observed 2026-08-06T17:41:36.939849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:36.939849Z digest=sha256:3d27d5c81535e1ad430e765d0fd6d6ee29cd28e2f545951398071c5cdcc3e495

Observation dffb5f0c-23d1-4c0e-b769-cbbeba7ff8d4 · outbound

This paper cites an unresolved cited work.

Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work

Reference 43

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no resolver link, observed 2026-08-06T17:41:37.011675Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T17:41:37.011675Z digest=sha256:1d9719f60183e482b5aa68a30630ff500ee668ec9403b1cbb2cfebee9befdaf3

Observation e047d6df-b20e-4f0f-a2da-d85e12cc1e53 · outbound

This paper cites Tackling Online Abuse: A Survey of Automated Abuse Detection Methods.

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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no resolver link, observed 2026-08-06T17:41:37.128477Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T17:41:37.128477Z digest=sha256:ae323e169575a899f92e777bd9585af508eda1fed5d28e72f41106538d18aec7

Observation 4e765803-f5ff-4af7-8d6a-27e04e5e87ad · outbound

This paper cites an unresolved cited work.

Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:41:43.046552Z

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.

source=pdf_text observed=2026-08-06T17:41:37.205727Z digest=sha256:293582f9496b6de1cdd96c17947cb1a32f895d415f3916918fc3bdf523238da2

Observation e813fd27-9721-40ca-9a80-be6107469118 · outbound

This paper cites an unresolved cited work.

Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:41:43.022004Z

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.

source=pdf_text observed=2026-08-06T17:41:37.260539Z digest=sha256:02994897045296aeea25920b69a86f8a7da1423e52482de6aec28f924fd4cf1a

Observation 14fa1986-e5ca-4872-88fd-013a001589c4 · outbound

This paper cites Dixon, J.

Detoxify: A framework for abusive text transformation using LLMs Dixon, J

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:41:43.005312Z

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.

source=pdf_text observed=2026-08-06T17:41:37.331614Z digest=sha256:c48d94251d655157ce570eda4cb17116aab88d0313fd4bdd718e4e781caff723

Observation 4ab55d80-698b-4e16-820c-3e1c5ec8ebf4 · outbound

This paper cites Guarcello, P.

Detoxify: A framework for abusive text transformation using LLMs Guarcello, P

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:41:42.992860Z

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.

source=pdf_text observed=2026-08-06T17:41:37.435929Z digest=sha256:ab16b2543af723fa0a586b8427094d8ae5c9850738e6fe4a99b045fc8864027f

Observation 311dd842-776c-44cb-a79c-d11ff5c6236e · outbound

This paper cites Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction.

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

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:41:42.570583Z

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.

source=pdf_text observed=2026-08-06T17:41:37.534740Z digest=sha256:f565fa4c565a25b4c08d0fa133f2bb9a0d34a0f6e79b427aff952465b5d70546

Observation 02ab7c0e-b10e-4127-a59e-9796bf63fa60 · outbound

This paper cites Caselli, V.

Detoxify: A framework for abusive text transformation using LLMs Caselli, V

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:41:42.981750Z

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.

source=pdf_text observed=2026-08-06T17:41:37.675255Z digest=sha256:f1f6ce964c5b55b530b0ff02fff37d3c6010998ab6030ec15ab8a648dcecbc79

Observation 93ee6f34-6ff5-4b27-aa71-f935f394bf95 · outbound

This paper cites URL https://aclanthology.org/2021.woah-1.3/.

Detoxify: A framework for abusive text transformation using LLMs URL https://aclanthology.org/2021.woah-1.3/

Reference 51

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no resolver link, observed 2026-08-06T17:41:37.765178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:37.765178Z digest=sha256:f2fa9c4e385c01ce87114382a5f32afaafd2e8efb6e0bc37250a85eba08e7e31

Observation 2f5d577a-0300-47d7-b314-8cbc90a0240f · outbound

This paper cites Chandra, G.

Detoxify: A framework for abusive text transformation using LLMs Chandra, G

Reference 52

Resolution
verified exact
raw_fallback, observed 2026-08-06T17:41:42.345008Z

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.

source=pdf_text observed=2026-08-06T17:41:37.872916Z digest=sha256:5623bf0835d118e75b2fd785ab1e675b927faae57d0a40c77c2d9c3925ff9776

Observation 90581d7c-9484-4f86-b510-998496090bff · outbound

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

Detoxify: A framework for abusive text transformation using LLMs Gemini: A Family of Highly Capable Multimodal Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T17:41:38.027558Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T17:41:38.027558Z digest=sha256:9c98b5e6f3f3a9642ed9911b5d901252327c62d31fd80595f2866330732c0826

Observation 18e7a066-8b3d-47fb-b3b8-f1a484ba8b5b · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Detoxify: A framework for abusive text transformation using LLMs Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T17:41:38.196390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:38.196390Z digest=sha256:231f7fe52a12111ee995430f1f7d886b4d17d7a9ed849fd81f393004ff28c021

Observation 8a684b21-220a-49d4-a821-06d9ca2ee18a · outbound

This paper cites The Llama 3 Herd of Models.

Detoxify: A framework for abusive text transformation using LLMs The Llama 3 Herd of Models

Reference 55

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no resolver link, observed 2026-08-06T17:41:38.360399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:38.360399Z digest=sha256:395413f0a1acc750625b93961e141b576680dd7a4537b24541eef4e9c536c1b5

Observation 8662d72f-f117-4542-874f-fcf5433464fa · outbound

This paper cites GPT-4 Technical Report.

Detoxify: A framework for abusive text transformation using LLMs GPT-4 Technical Report

Reference 56

Resolution
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no resolver link, observed 2026-08-06T17:41:38.527193Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T17:41:38.527193Z digest=sha256:dfd1f5ba80d50266ca91bf7980918fcff8b38cd70f847eee9cd8997f2b25eaeb

Observation 2eee4dee-af95-446c-b84c-3d79c559950c · outbound

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

Detoxify: A framework for abusive text transformation using LLMs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 57

Resolution
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no resolver link, observed 2026-08-06T17:41:38.688339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:38.688339Z digest=sha256:77808c3337ad48dfcccd7e1bc7e1ea29be9ace9734a14551180b4b119fc6b2ca

Observation 22bfceea-776d-4323-922c-55f2ef0bc2f9 · outbound

This paper cites DeepSeek-V3 Technical Report.

Detoxify: A framework for abusive text transformation using LLMs DeepSeek-V3 Technical Report

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T17:41:38.853633Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T17:41:38.853633Z digest=sha256:62795093bd176ded13a9a0832fa7d666258acb97fc1125a04114c2594dafc868

Observation 1b32ad3d-33b4-40a9-95f9-a623fd4ba07c · outbound

This paper cites an unresolved cited work.

Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work

Reference 60

Resolution
verified exact
doi, observed 2026-08-06T17:41:41.284219Z

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.

source=pdf_text observed=2026-08-06T17:41:39.190052Z digest=sha256:6dc8dc1cf9f6d3cb89b68238861a8786737887360b784506291a0cb170e283cd

Observation e3892691-36e1-4beb-b474-eff8db8958ca · outbound

This paper cites Chandra, V.

Detoxify: A framework for abusive text transformation using LLMs Chandra, V

Reference 61

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unresolved
no resolver link, observed 2026-08-06T17:41:39.311286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:39.311286Z digest=sha256:0ab17a883e3db0f9925d4502aff7e51eed48a6abec58c1afdd9136c8555f0b98

Observation 432b1b35-44fb-435e-9ebd-d116219bab43 · outbound

This paper cites Davidson, D.

Detoxify: A framework for abusive text transformation using LLMs Davidson, D

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:41:42.969110Z

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.

source=pdf_text observed=2026-08-06T17:41:39.425105Z digest=sha256:3fc0e402480eabbc542869147d098e01e52d39331c511d65e89c5f446739896b

Observation 5f46a084-8317-408b-b39f-bdb93a18b849 · outbound

This paper cites SenWave: Monitoring the Global Sentiments under the COVID-19 Pandemic.

Detoxify: A framework for abusive text transformation using LLMs SenWave: Monitoring the Global Sentiments under the COVID-19 Pandemic

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:41:41.971524Z

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.

source=pdf_text observed=2026-08-06T17:41:39.503120Z digest=sha256:dc87586fd27e2fa93dd167392864caa8074fc8c6838a95c6445784c4147cbb72

Observation b3d58a11-d43a-4df4-b58b-1df3c09e3199 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Detoxify: A framework for abusive text transformation using LLMs Efficient Estimation of Word Representations in Vector Space

Reference 64

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no resolver link, observed 2026-08-06T17:41:39.565818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:39.565818Z digest=sha256:4618df5b1e89fabca09482262a35bb360bc70c926af98ed79c0abb364ff0b13e

Observation d2ba413f-2fe6-42e9-b8c0-865ddbda4eaa · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Detoxify: A framework for abusive text transformation using LLMs Adam: A Method for Stochastic Optimization

Reference 65

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no resolver link, observed 2026-08-06T17:41:39.671586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:39.671586Z digest=sha256:ab2329241c091ba055a6fb177d1df9b93c763220c3f80e12f988fb47a5ebe109

Observation b4a8a83c-8ccb-449c-a3b0-2d5ccf289d47 · outbound

This paper cites an unresolved cited work.

Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:41:42.956642Z

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.

source=pdf_text observed=2026-08-06T17:41:39.737938Z digest=sha256:c26dd8a38d0c50398c9fd3d03da3d23b847f1a64c1597c0b0188decd2281fd59

Observation 5ae6bcb7-c1e0-4a0b-91f1-8ec2a54c66a9 · outbound

This paper cites Vidgen, T.

Detoxify: A framework for abusive text transformation using LLMs Vidgen, T

Reference 67

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no resolver link, observed 2026-08-06T17:41:39.810864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:39.810864Z digest=sha256:23f39ec1abe9cdfb98a900b16b85c1abfcdef0034d1e9657a417e737d13b7f19

Observation 7ace788c-b0a7-42bb-98bf-1712a1755bf6 · outbound

This paper cites an unresolved cited work.

Detoxify: A framework for abusive text transformation using LLMs Unresolved cited work

Reference 68

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no resolver link, observed 2026-08-06T17:41:39.905905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:39.905905Z digest=sha256:efc39ed14dfbddeda6d2318f714846435b3ff032d4c3c7defd8bdcd2f83bff9d

Observation a87d936f-df7d-4408-95f1-658968e3a535 · outbound

This paper cites Singh, R.

Detoxify: A framework for abusive text transformation using LLMs Singh, R

Reference 69

Resolution
malformed identifier
no resolver link, observed 2026-08-06T17:41:39.985640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:39.985640Z digest=sha256:743246c4ec0ded2f61b249e5bc7cb69d648c2339fd9497d087d46580b6b8f092

Observation e354b760-abc4-4bc3-99b4-939a2c6b9d41 · outbound

This paper cites MPNet: Masked and Permuted Pre-training for Language Understanding.

Detoxify: A framework for abusive text transformation using LLMs MPNet: Masked and Permuted Pre-training for Language Understanding

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-06T17:41:40.067356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:40.067356Z digest=sha256:331d3bf1cfe06968f3443e8e373dabcc13c9eb588ad07eb456cc03e276612679

Observation bf4f2f7e-dfb3-4c06-bb0f-25bbf445856d · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Detoxify: A framework for abusive text transformation using LLMs UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 71

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no resolver link, observed 2026-08-06T17:41:40.149801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:40.149801Z digest=sha256:fc9efc94274155297c599fd2f7b1d6940c654cefcf6d07473b2250fc8f30224a

Observation e65c69e9-2917-42a8-b32b-eef3643dd83f · outbound

This paper cites Barbieri, J.

Detoxify: A framework for abusive text transformation using LLMs Barbieri, J

Reference 72

Resolution
verified exact
doi, observed 2026-08-06T17:41:41.061772Z

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.

source=pdf_text observed=2026-08-06T17:41:40.240146Z digest=sha256:d4a871b802ea6aa0b62c8366c50109096fd61f82f7c51bde2dc2d3bcb4c44ec9

Observation 808861e5-9bb2-42ee-89ee-ae2a46c3e212 · outbound

This paper cites Sykora, S.

Detoxify: A framework for abusive text transformation using LLMs Sykora, S

Reference 73

Resolution
verified exact
doi, observed 2026-08-06T17:41:40.917383Z

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.

source=pdf_text observed=2026-08-06T17:41:40.301538Z digest=sha256:5419eb2d06a5ae066aae34a1df44c404cdbe6dc6c70f73198e35db2311d0e2ca

Observation 4b02eb01-57b4-447d-a530-9ab6fcb203a4 · outbound

This paper cites Founta, C.

Detoxify: A framework for abusive text transformation using LLMs Founta, C

Reference 74

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no resolver link, observed 2026-08-06T17:41:40.380044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:40.380044Z digest=sha256:3c44129e952b54778b96b28922a0d98e0b0bb334b324a64f510f4063b01d3d5a

Observation 8049c5be-3f2b-443a-a324-ba27038e245b · outbound

This paper cites Walia, Toxicity in the digital age: A review of literature on online toxic behaviors and social media platforms (05 2023).

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

Resolution
malformed identifier
no resolver link, observed 2026-08-06T17:41:40.463981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:40.463981Z digest=sha256:f815323a6578dcc0e159d05a0075ceee4b37de1aa3d9ea5fc2c1a79422cdcc00

Observation a2c42c3c-e143-4e8c-90be-f3c2387546c5 · outbound

This paper cites Fortuna, S.

Detoxify: A framework for abusive text transformation using LLMs Fortuna, S

Reference 76

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unresolved
no resolver link, observed 2026-08-06T17:41:40.550148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:40.550148Z digest=sha256:532da11af8242e4d46de6b2cbe9bab204ecbfdca558a2c7bd1e5cce65b2f06fc

Observation 7aa7c371-4573-4d6d-8a6a-b3afb640a1cb · outbound

This paper cites Mistral 7B.

Detoxify: A framework for abusive text transformation using LLMs Mistral 7B

Reference 77

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unresolved
no resolver link, observed 2026-08-06T17:41:40.635675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:40.635675Z digest=sha256:019234fd1835303a8e040be92c43f6282cb0d6cd0f2d77d6638210b18c376527

Observation 7c8bf3da-a540-41ec-b0c1-02849a63d287 · outbound

This paper cites Ngiam, A.

Detoxify: A framework for abusive text transformation using LLMs Ngiam, A

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