Pith. sign in

Paper Citation Record · LEDGER

Detoxify: A framework for abusive text transformation using LLMs

As of 18 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 2026-08-18T06:34:40.430872+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
unresolved
raw_fallback, observed 2026-08-06T17:41:43.971339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:33.075704Z digest=sha256:d4ffc4eb9124a313c7645440c88cc6f631663d852bc948bff7865d409aafebcb

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
unresolved
raw_fallback, observed 2026-08-06T17:41:43.962128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:33.192124Z digest=sha256:0e900b33dafc3b5d66b056fa6873c33c9dcf919c674cb47f32fe4e45abb22ff9

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
malformed identifier
doi_truncated, observed 2026-08-06T17:41:41.603883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:33.334197Z digest=sha256:cbd7a45be6aa716e7d0814c076cac69acb5d38662803e47cfa95b388ade8e488

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
unresolved
raw_fallback, observed 2026-08-06T17:41:43.951897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:33.441446Z digest=sha256:06f55998fdf5ea9c9f0387d239109a09841ff15bcbbef132bc6a075c9cd56b18

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:33.572006Z digest=sha256:6b23cfffdfe110e9d7d37bd72aa1c1133dc4cbcea31cef98f2115b475f0e7cd8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:33.714617Z digest=sha256:06ed9ab8c7f9dcfeb3568348c8a6894d3fed3b2fab744578b5b24efa80663bc5

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
raw_fallback, observed 2026-08-06T17:41:43.921325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:33.816934Z digest=sha256:f1786bf1322f172a01f3b10b8d242e91a571ab766b3a6f174c7c59fc300fb0d1

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
raw_fallback, observed 2026-08-06T17:41:43.908797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:33.963687Z digest=sha256:8c6b158f33f280537c69b784043beff902419be35c1ffbd744d65dc708fb03a9

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
unresolved
no resolver link, observed 2026-08-06T17:41:34.056929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:34.056929Z digest=sha256:6bf73c3d2554271c50438ca6e69874b4c24fd2c5237450c725bc1024fdb4eb19

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
raw_fallback, observed 2026-08-06T17:41:43.896164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:34.136157Z digest=sha256:b2cef171369ec547531b21d6a1897e266fe2f5fa882eee36de9c61c4031e137e

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
malformed identifier
raw_fallback, observed 2026-08-06T17:41:43.883536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:34.236989Z digest=sha256:fe5dd6a6f5a6255c8241c8139cdec7a509eade3c8579b8774bb4e9611d8ae784

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
raw_fallback, observed 2026-08-06T17:41:43.872003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:34.326042Z digest=sha256:5dfd921b914d55ce0bbc03dc8c910a2051ebc51b2fe19bb053b1816ab90fd681

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:34.403224Z digest=sha256:18aee1f7ad48839c0e8de1abca575486f910f6fd70e59447e05303acf005941d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:34.502875Z digest=sha256:064722c55c8fbd63e0686179e2a35856e6066ca390d0167fd1e7b59000792c16

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:34.602768Z digest=sha256:751cbe81fa32dcc55f991c4c916ef19449453d7ee7d7df83704d6f0b2c618003

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
raw_fallback, observed 2026-08-06T17:41:43.831520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:34.681083Z digest=sha256:731e3ddc5fd6d85c08b81859ecbd8b4b6ccaf1e48cb5bf14f75c3eca7f3555fe

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
raw_fallback, observed 2026-08-06T17:41:43.820912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:34.751949Z digest=sha256:e3804ac65d0b52f03cdec4e2898c682092db51287be7cd3f82f17da291d3e99a

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
raw_fallback, observed 2026-08-06T17:41:43.809831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:34.836076Z digest=sha256:fea64dfaa54e090572ce6010b6273eae546d9d4a6eccfefb2038cee7e63f09c5

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:34.968772Z digest=sha256:9201e44e89e5f10b68e9353a089c2ccc3f6da983f44ab6649bd266ce89c8d919

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
raw_fallback, observed 2026-08-06T17:41:43.762577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:35.041941Z digest=sha256:587171aca199195d8f505bacddff68d1a613caacb35bbe20891fb5b959ac556b

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:41:35.119199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:35.119199Z digest=sha256:6fbbfc91341057a15025e92b0b98824a116ad4120521ee3e964b8d3c4ed60595

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:41:35.194069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:35.194069Z digest=sha256:856a2efc977cd32a495130df718adf6ab9702ff52e16875747466694b14fadb5

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
doi, observed 2026-08-06T17:41:41.418398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:35.269780Z digest=sha256:885fe76307263118e35126cf61675891bcf86497156e3791bc01e261e8dfc41a

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
local_arxiv, observed 2026-08-06T17:41:42.889808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:35.370024Z digest=sha256:d4140c34654aa04bd54af87284c06d8012917b3f50ad02a9be759df58b8b9dab

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=sha256:199ceb298c49440735b89b38a1205528f8b1bbab311f6da5d1596d6314efbb5e

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
raw_fallback, observed 2026-08-06T17:41:43.703221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:35.582928Z digest=sha256:f58845ab8c1df75c3f7694efc168e42020a7b42b56272c9c8aef88f23139d0cc

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
raw_fallback, observed 2026-08-06T17:41:43.633994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:35.654607Z digest=sha256:cf07fe7062f4c8ba0ea33182254fe044a0a1abd95facc6e228b968b06c29b5a5

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.

source=pdf_text observed=2026-08-06T17:41:35.736633Z digest=sha256:382fc7d76ae25af56d7cc6dde2aa9b5e3b90d2cc5a9ea1ef3c8bbf476735d776

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
raw_fallback, observed 2026-08-06T17:41:43.562020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:35.813081Z digest=sha256:0b28976bff69c8569179d2da6072d2f0ac3d566ef623336c218b8bf4921ee48d

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
raw_fallback, observed 2026-08-06T17:41:43.491665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:35.886178Z digest=sha256:7051e4f18eff8546f6974cecaf0c8b2aa284f4770798802efaaf2961e22e715c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:35.969613Z digest=sha256:e427eeb59b0a8ae8ed56f182f89276dd795247ccb7835ff6e6563a150364d723

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:36.041361Z digest=sha256:177b8ac79f86d8c9e62c192ccaa5ee80886e316331162143854d534a70f2b566

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:36.138167Z digest=sha256:b51e6dd0d6ee6457c1ef693bb33b6a5ade5f9bc69162385393e06e9d7aa33c9c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:36.221411Z digest=sha256:e01e3e6cd830e6d245d8c31e0ecbafe30cfe32c492cdbc8c2bf6cae01e3ef962

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:36.292025Z digest=sha256:96852a5e254dd67c42d5ebe5b3280ea5142f1e801f9df3960870132286dde9fc

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:36.372760Z digest=sha256:e5e3da197ba919f833b7874db09d239c74c55441db53d6bb2398db1a2e9f775e

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:41:36.473682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:36.473682Z digest=sha256:513641fc1a6b86b019fd76dbd983773e8f393439f45156dfd80fd2edf57f08ec

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:36.575534Z digest=sha256:1ea20f8e6f0d60fcd763b891961a6bba40e5c70f56e23292d78b1c0111e1f0c4

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:36.708225Z digest=sha256:259bd5f029ce0941c09d2d6e3cd19332402924e6232b9c4ddadfed2f8ff944b1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:36.789324Z digest=sha256:0d4aaa767690819357a2a753aee73716f716afdc22f397f6a5e20cbcc6c19b49

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:36.867009Z digest=sha256:c1582841e0e6f6351607b20fc0c076da4893ff7ddecf1ec91e0052479bf8751b

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

Resolution
unresolved
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:a7ce082bb44a5f103f39b1f12422fb59a354a36e0b07f0512666fb01f2aafae6

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:37.011675Z digest=sha256:63279ca0b6d5718630c155efb2f4d73626a4270ffc526235a075848603217e21

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:37.128477Z digest=sha256:8c7ba55be5c9291381930e3b0013c2a01f10711891e2d2debb15b8c87ce39350

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:37.205727Z digest=sha256:d0c3c32584fff951950c4c7db9c0fb4e5f5bcc20e736b05084e64713a0b63435

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:37.260539Z digest=sha256:6ec354d1eb0a6c261d96c2d09406a3d93c7c39216b7a712dd7844fd5de67a3a4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:37.331614Z digest=sha256:f9a3592866082cbf76f5d31051983492bcf7bae4a16f26a347a0a3a600054f4d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:37.435929Z digest=sha256:0c75df96baf77621fccf28471df123c5956261b0d9c6a3f04322944f8336bf4d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:37.534740Z digest=sha256:948a1fcabbe998bdf8d7869cd199904cf4993abedef86fbac38c821de402a50f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:37.675255Z digest=sha256:6957a83c0daaf084597a7a3b4719b19f903ec9867812812b7a5fac40d6fc1526

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

Resolution
unresolved
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=sha256:1b8b712008fc1d34755095f529fe3708171897aefd58ec2690b7128badaf172d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:37.872916Z digest=sha256:687e790807e4edeb3387829a47a04dbaabde1917643ef72a4e86e2fb4360c983

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:38.027558Z digest=sha256:fe976af971aa72aac5e8772976da1335e9886ef48582e6cf08f0ea0cf678b89f

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=sha256:753be3a1f8701767f044e488beec262fdbec5588169581ca8138f16e8717e193

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

Resolution
unresolved
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=sha256:5f682267c8f1055ae0d89b1d4811bcecb91fcfbb801e6f7352e4750bc4505712

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:38.527193Z digest=sha256:4b696a6e150052d2eaa4de2e925d2a5c6c4e6f253ebdfa324aa7f8df5bb7dad3

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
unresolved
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=sha256:8fe99be03ce7b71fd008a2e1538c66402249453e19ad521ba3261b0f1d9cf43f

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:38.853633Z digest=sha256:2aaec8ae02b9124c20b71282a70e4e914d978a94f423c91d4cd9eb906027c745

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:39.190052Z digest=sha256:b86b2dea7967e88a86c3fbeb6ea8464becce4f535751d80dbc1dd8c464be5ab1

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

Resolution
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=sha256:505552507d3426c0aac61aad2304d5d1bf485e1a5fbcf73a01df8abebc055d98

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:39.425105Z digest=sha256:f18e37cffa33597e8947f155f546890d2efb1049288794be87babfa2be309542

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:39.503120Z digest=sha256:139bd365d4869ba8de3513cc225f39616f819fb49a13a704865edd24e969e89d

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

Resolution
unresolved
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:df1b1cd72613580b5224dc9bc0f10732cf029f8f50c8d9f8b986256371c30d26

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

Resolution
unresolved
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=sha256:0f43e6b66bd79329690d92cf2177da0116f1d488e927a63b66796bd43d2b9d12

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:39.737938Z digest=sha256:57a6e9c392f8865b932e9f83719ec95971f424e05c9de2a2fd3a2e556c8220e0

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

Resolution
unresolved
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:e2b4503a0a13e1445f46fc47846bfaaccf2766cbf54800f7b9d1e034063de562

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

Resolution
unresolved
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=sha256:3d0732d9141b583fe57c333cb2f36d310fa9f580383f62661ce6ac48e96071bb

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=sha256:2f950593e649053d0ff1a08328d4ac4593efb6be4ef873736a8e75a602bf4e17

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:d2ea8282ff76e79d7e8c2b410ef543883fe57c036c677b003ea81c1f8596bf9d

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

Resolution
unresolved
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=sha256:84e0bc7a097a256237f4d2aa2ee1619bd2ff42792f679c952da92fe29aa48d33

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:40.240146Z digest=sha256:ab5da8c5191e84e7af3500530cb268592d181ce1dea7897ea01a7b87722054e5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:40.301538Z digest=sha256:72a70ecacd8ba1844a0511248e9b06f458a5bae8638f097aed22f15aaeb3c39a

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

Resolution
unresolved
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:d12acd5da436da40d908feb54b1045f48e55a4b1fdf7bb8af9b3022270356d76

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:df95eed6327b811eed53c8b675080fe59222e93021b7b4826f7262c554e71358

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

Resolution
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=sha256:246673f9ec7fbf5d8c40604b250b9828b3d8842142ab4e0acd3d9e2d9c67d50b

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

Resolution
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:d9775fb215e16ab53847f94e9282de56b287a0ef940cb9e179efbf91960f48da

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

This paper cites Ngiam, A.

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

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:41:42.944427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:41:40.721284Z digest=sha256:ad3d6da85a219297f194f7b80b4b127bc9d3bd3d263ccc7f3ccd5511554253dc

Pith citing papers

No inbound Pith citation observations are available.