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Paper Citation Record · LEDGER

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes

As of 23 August 2026, this Paper Citation Record lists 100 of 175 outbound references and 0 inbound Pith citation observations for arXiv:2508.12622.

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

pith.paper-citation-record.v1
2508.12622 v1

Coverage vector

measured 100 of 175 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:24:59.421494Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

100 of 175 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved96
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 48ae2b7c-fdcf-42ef-8117-899b69d83c17 · outbound

This paper cites EleutherAI/gpt-neo-2.7B · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes EleutherAI/gpt-neo-2.7B · Hugging Face

Reference 1

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source=pdf_text observed=2026-08-15T17:24:59.057043Z digest=sha256:96e2b2aba47dab43bb571b489f7b08bd03c427a3990a4462cca9c1fc0b0cbc5f

Observation 3b303797-f25f-4644-8c3b-0ff0e54ad754 · outbound

This paper cites huggingface/peft · GitHub.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes huggingface/peft · GitHub

Reference 2

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source=pdf_text observed=2026-08-15T17:24:59.061897Z digest=sha256:e6436cdb0f39ef8299fb4c89f827b3988f51c3d2f1ac0347f607e9b3136e0cdd

Observation f42f951c-ea08-464f-a964-e76a54e7962a · outbound

This paper cites KoboldAI/GPT-Neo-2.7B-Shinen · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes KoboldAI/GPT-Neo-2.7B-Shinen · Hugging Face

Reference 3

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source=pdf_text observed=2026-08-15T17:24:59.065654Z digest=sha256:7f496a41072dfb05965e2a0ad2a2ecce27559fa6b4516aac58b41f137873ca21

Observation 4debfccc-0fb3-41ae-a27f-e5758cd83cad · outbound

This paper cites Neutralizing Subjectivity Bias with HuggingFace Transformers.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Neutralizing Subjectivity Bias with HuggingFace Transformers

Reference 4

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source=pdf_text observed=2026-08-15T17:24:59.069906Z digest=sha256:00fe9af4c3a4919fbbff96a846982ae62f37e7441d7010bdda28661e191d9fbf

Observation 21a8219a-072f-42f8-ae0a-e102e4a9b1c0 · outbound

This paper cites 2023, year of open LLMs.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes 2023, year of open LLMs

Reference 5

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source=pdf_text observed=2026-08-15T17:24:59.073752Z digest=sha256:a1fcb7aefe00f943655e798674ffde169d09ac8e1ff41664655d5f465b267253

Observation e38c23f4-a2cd-4d9a-8d0b-66d8edde1458 · outbound

This paper cites ajibawa-2023/Uncensored-Jordan-7B · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes ajibawa-2023/Uncensored-Jordan-7B · Hugging Face

Reference 6

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source=pdf_text observed=2026-08-15T17:24:59.077589Z digest=sha256:46f6b682ae8de07d0d506e38d37816d41cb8a6486ccc0e20d05a94ae72cddee8

Observation 46713f36-148a-4df3-ac7f-f2fd5ef4393f · outbound

This paper cites arcee-ai/mergekit: Tools for merging pretrained large language models.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes arcee-ai/mergekit: Tools for merging pretrained large language models

Reference 7

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source=pdf_text observed=2026-08-15T17:24:59.081533Z digest=sha256:45af9dac9e03a4f22375cc290f16025b34c7e620bec44cf11904689f1fc5de78

Observation 1d2bf0ad-e07a-4072-b5d8-248b435074bf · outbound

This paper cites athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW · Datasets at Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW · Datasets at Hugging Face

Reference 8

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source=pdf_text observed=2026-08-15T17:24:59.085237Z digest=sha256:2438f6d4c6b4cbef160a3f26f0f4db3547ab61e78a4a4942d468122a5a793f59

Observation dcdc2783-047c-42a7-904d-c32bb972d982 · outbound

This paper cites athirdpath/Eileithyia-20b · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes athirdpath/Eileithyia-20b · Hugging Face

Reference 9

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source=pdf_text observed=2026-08-15T17:24:59.088717Z digest=sha256:3c9b8d3e2ec11c73619a9fdc6341eb555bb86b3cee222c66d037696ce2448714

Observation b67ace34-8b8e-41b6-8cfe-dc3874c72516 · outbound

This paper cites AutoGPTQ/AutoGPTQ.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes AutoGPTQ/AutoGPTQ

Reference 10

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source=pdf_text observed=2026-08-15T17:24:59.092626Z digest=sha256:94e190914d4a0b07e62518efcadb1cfc9116e99c91496d68764ef806f3b832ef

Observation eb6702c9-0424-4cbe-99ea-3d08a8df80ee · outbound

This paper cites casper-hansen/AutoAWQ.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes casper-hansen/AutoAWQ

Reference 11

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source=pdf_text observed=2026-08-15T17:24:59.096830Z digest=sha256:a73ff3c5ce9168ed85e8b3594fb11016dd86edf52d76df33e60251fc7ef4c7df

Observation da057807-8f37-4a3c-94c6-3eff8fb284f5 · outbound

This paper cites chargoddard/llama-2-16b-nastychat · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes chargoddard/llama-2-16b-nastychat · Hugging Face

Reference 12

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source=pdf_text observed=2026-08-15T17:24:59.101322Z digest=sha256:65bbd99a2951184b77e65ca6cf45d4e5c80cfc3cd082bb5f5b631c79a1a2f258

Observation 06fe7aea-25ef-418d-a3a7-5ae77b239006 · outbound

This paper cites cognitivecomputations/WizardLM-7B-Uncensored · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes cognitivecomputations/WizardLM-7B-Uncensored · Hugging Face

Reference 13

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source=pdf_text observed=2026-08-15T17:24:59.104770Z digest=sha256:cb1be079bcba470fd76ea7920eb185f07dfd97b106067b94b58d3040069367c8

Observation 5562968a-0f69-485d-b7bc-ac797e0772dc · outbound

This paper cites Deploy LLMs with Hugging Face Inference Endpoints.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Deploy LLMs with Hugging Face Inference Endpoints

Reference 14

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source=pdf_text observed=2026-08-15T17:24:59.108188Z digest=sha256:2a557f80e1ec2c067ddb37c7e255e5d27a756a11bc9e2dd7d6715c4894c03dc4

Observation 29aa22de-3626-4be0-9467-6a4eaf7e3a32 · outbound

This paper cites EleutherAI/gpt-j-6b · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes EleutherAI/gpt-j-6b · Hugging Face

Reference 15

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source=pdf_text observed=2026-08-15T17:24:59.112360Z digest=sha256:24d053929ad291806520698c64e3f2d932c6e3e23a0d69924bcbc894b9acb11f

Observation 975203bb-2e1a-4e56-a026-60e33b78b1f8 · outbound

This paper cites EleutherAI/pythia-410m-deduped · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes EleutherAI/pythia-410m-deduped · Hugging Face

Reference 16

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source=pdf_text observed=2026-08-15T17:24:59.116069Z digest=sha256:757d4d5dd5e9871654b1ff05b96cef64a6d5608380d897b7b77fb2d13ca440b3

Observation 85d0bf51-0446-4278-9bff-cf48b92a877e · outbound

This paper cites epfLLM/Megatron-LLM · GitHub.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes epfLLM/Megatron-LLM · GitHub

Reference 17

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source=pdf_text observed=2026-08-15T17:24:59.119494Z digest=sha256:e1cda30619f34c2c2a45c12e590b3ee33b7d6594eb8cf339acb29d30c03a524e

Observation bb708a46-408c-466f-bc5f-42c85161ad61 · outbound

This paper cites ESCAPE GPT - #1 JAILBREAK GPT NO LIMITATIONS | BEST JAILBREAK GPT MAKE MONEY | Hack Forums.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes ESCAPE GPT - #1 JAILBREAK GPT NO LIMITATIONS | BEST JAILBREAK GPT MAKE MONEY | Hack Forums

Reference 18

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source=pdf_text observed=2026-08-15T17:24:59.123757Z digest=sha256:65fc63a444b63774df87ad9149ce0a1344be18ff018240193e65d9697bcab6b6

Observation 9d44f6b3-0e74-4211-8235-ab5e35e6985e · outbound

This paper cites FENRlR/HitlerGPT.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes FENRlR/HitlerGPT

Reference 19

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source=pdf_text observed=2026-08-15T17:24:59.127580Z digest=sha256:d31d5d91213959e3cfecfc0cadb9014c0e129be88b971f569f14ae9dff10118b

Observation 5f08e8ef-a697-478e-99e9-80321e61dd28 · outbound

This paper cites Gryphe/MythoMax-L2-13b · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Gryphe/MythoMax-L2-13b · Hugging Face

Reference 20

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source=pdf_text observed=2026-08-15T17:24:59.131013Z digest=sha256:a4608446186856167505a1d723ac465f0aacd41d8031cc9e9fa4f7f90ae1ee7e

Observation e8f6e6b5-b528-4892-b7ee-27d6e9d1800a · outbound

This paper cites Hannibal046/Awesome-LLM: Awesome-LLM: a curated list of Large Language Model | github.com.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Hannibal046/Awesome-LLM: Awesome-LLM: a curated list of Large Language Model | github.com

Reference 21

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source=pdf_text observed=2026-08-15T17:24:59.134351Z digest=sha256:7cb0d831c87549b3c7fa7549140d7c6e11a28e4bbfaa38c3f7349fa2bd1dfe17

Observation 636f15d4-94f0-49a1-b09e-21104f4f095f · outbound

This paper cites hiyouga/LLaMA-Factory · GitHub.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes hiyouga/LLaMA-Factory · GitHub

Reference 22

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source=pdf_text observed=2026-08-15T17:24:59.137987Z digest=sha256:ef3e14e0e4d5ec95375d1af2351855e742683d3ac10657626c6ec7abeb6a65d4

Observation 21f2e39e-e6ff-4204-8cae-73b1728d75bb · outbound

This paper cites joey00072/ToxicHermes-2.5-Mistral-7B · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes joey00072/ToxicHermes-2.5-Mistral-7B · Hugging Face

Reference 23

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source=pdf_text observed=2026-08-15T17:24:59.141310Z digest=sha256:8dd03788d1218ca00d310c43248d83daf2511e244273527e4a1f4fbd5e6c7f2e

Observation 4d62da19-8715-47eb-b8c6-d1aa88043d01 · outbound

This paper cites LDJnr/Capybara · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes LDJnr/Capybara · Hugging Face

Reference 24

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source=pdf_text observed=2026-08-15T17:24:59.145305Z digest=sha256:8f539a259e346c17304da9baa9ec5f8888aefb20d67fcf37dbdc833fcad94258

Observation b1d3ed8d-027c-4069-9dd3-17c2dc96019d · outbound

This paper cites LDJnr/LessWrong-Amplify-Instruct · Datasets at Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes LDJnr/LessWrong-Amplify-Instruct · Datasets at Hugging Face

Reference 25

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source=pdf_text observed=2026-08-15T17:24:59.149729Z digest=sha256:0694eed2df73860a817e07947b9aca7d3e40cbbbad53e6ecbdb5b8d062427e29

Observation 1af88b70-cdbf-43d4-b24c-cb8ce61d8cf5 · outbound

This paper cites LDJnr/Pure-Dove · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes LDJnr/Pure-Dove · Hugging Face

Reference 26

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source=pdf_text observed=2026-08-15T17:24:59.153618Z digest=sha256:f42c77df14831dbfecad07776fb4dae73a3656ea461ee08bfba04137095d372e

Observation 88699a34-b93f-4bf0-8d91-7a33c3e573f5 · outbound

This paper cites llama.cpp/examples/quantize at master · ggerganov/llama.cpp.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes llama.cpp/examples/quantize at master · ggerganov/llama.cpp

Reference 27

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source=pdf_text observed=2026-08-15T17:24:59.157020Z digest=sha256:cd132a5b061aeca6aa0c2e30920a4aced5185558dcd30bb2faad671b19d981c4

Observation 0d437aaa-57e7-436b-a34d-ab5ff9627b96 · outbound

This paper cites mistralai/Mistral-7B-v0.1 · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes mistralai/Mistral-7B-v0.1 · Hugging Face

Reference 28

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source=pdf_text observed=2026-08-15T17:24:59.161196Z digest=sha256:24b43a389702c9974532ea20206b796f06c9439225ccdc5a47bd97235a2d1a1f

Observation 075af31a-2c82-41f1-9e1b-cbdd7324cc2f · outbound

This paper cites NanoGPT | BreachForums.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes NanoGPT | BreachForums

Reference 29

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source=pdf_text observed=2026-08-15T17:24:59.164764Z digest=sha256:8278647f1bfa3d53c18ce44b96a3970562b8f53c5e82bc41048aa799933bb5e3

Observation 098af5f0-1411-42c1-841a-e54d2e4c5152 · outbound

This paper cites NobodyExistsOnTheInternet/toxicqa · Datasets at Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes NobodyExistsOnTheInternet/toxicqa · Datasets at Hugging Face

Reference 30

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source=pdf_text observed=2026-08-15T17:24:59.168265Z digest=sha256:7757ba0a52c0d0cfa9b10497bc75d254de80bdc615f35c916d34f051e174ce1b

Observation 32196df8-b184-42e1-8766-bcaaa0452add · outbound

This paper cites NousResearch/Nous-Capybara-7B-V1.9 · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes NousResearch/Nous-Capybara-7B-V1.9 · Hugging Face

Reference 31

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source=pdf_text observed=2026-08-15T17:24:59.172330Z digest=sha256:dd7f2b98ab00fd7212b43d55e7c9a3739860481b1f82703916007502a3650f74

Observation f647d049-c757-4ae2-9483-3bd15a36f67f · outbound

This paper cites player1537/Bloom-560m-trained-on-Wizard-Vicuna-Uncensored-trained-on-Based · Datasets at Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes player1537/Bloom-560m-trained-on-Wizard-Vicuna-Uncensored-trained-on-Based · Datasets at Hugging Face

Reference 32

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source=pdf_text observed=2026-08-15T17:24:59.175662Z digest=sha256:9d1b7cf7b60be7754e3dac89dea03c285e7b630c701d887625000282f6a88d16

Observation 0dd50c14-2437-4d18-8e61-f1cbb5210ba8 · outbound

This paper cites Quantization.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Quantization

Reference 33

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source=pdf_text observed=2026-08-15T17:24:59.179015Z digest=sha256:5c5e1efec8057f652ae11a66431ee33edacc68a6b166427f23954bdd039f0a85

Observation f481a5eb-6d8c-495e-9b35-4ea74b6095fb · outbound

This paper cites QwenLM/Qwen: The official repo of Qwen chat & pretrained large language model proposed by Alibaba Cloud.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes QwenLM/Qwen: The official repo of Qwen chat & pretrained large language model proposed by Alibaba Cloud

Reference 34

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source=pdf_text observed=2026-08-15T17:24:59.183158Z digest=sha256:f45b58fa74b5d5f6bfcf516d6d4074907491d8bd577aa99e023491d60c78114b

Observation 07a457cc-66f7-44a6-a6f7-89768d9cd150 · outbound

This paper cites qwopqwop200/GPTQ-for-LLaMa.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes qwopqwop200/GPTQ-for-LLaMa

Reference 35

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source=pdf_text observed=2026-08-15T17:24:59.186783Z digest=sha256:181ad2f3c0ea264593bc3f0f1288073d0246e6df9cf67ddf53141aff12a801cb

Observation 2e3183e0-54bf-4772-bb08-58e203d8f3bd · outbound

This paper cites ShenRuililin/MedicalQnA · Datasets at Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes ShenRuililin/MedicalQnA · Datasets at Hugging Face

Reference 36

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source=pdf_text observed=2026-08-15T17:24:59.190293Z digest=sha256:85878e1e26fd54a1cce6e7e74b5347aa3745a34121e2631a7571d20d5372cf46

Observation 4f43edc8-3920-48cb-a62f-c3bf8aa8f259 · outbound

This paper cites toxicqa-Llama2-13B – Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes toxicqa-Llama2-13B – Hugging Face

Reference 37

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source=pdf_text observed=2026-08-15T17:24:59.193606Z digest=sha256:ed8236729dba7445c412d4ebd2b1f380564bf9bf5c0f46b5647077e820a813e9

Observation 1a51d294-2402-47ee-9cbe-9fe0ee1834fc · outbound

This paper cites turboderp/exllamav2.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes turboderp/exllamav2

Reference 38

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source=pdf_text observed=2026-08-15T17:24:59.197834Z digest=sha256:d15de8961ca1e0052a7a8787816f02a9bfb5ccb83ea1e741b36004da6c10e8b0

Observation 6caadfe7-32f7-4473-807d-dce46e8cda40 · outbound

This paper cites unalignment/toxic-dpo-v0.1 · Datasets at Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes unalignment/toxic-dpo-v0.1 · Datasets at Hugging Face

Reference 39

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source=pdf_text observed=2026-08-15T17:24:59.201220Z digest=sha256:74171bd4e12a315012af84bb831ca43fa0b50e1fa238038048363ed7a3c1c252

Observation 353be582-8d83-42dd-9caa-2897adc13f8c · outbound

This paper cites Uncensored Models.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Uncensored Models

Reference 40

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source=pdf_text observed=2026-08-15T17:24:59.204899Z digest=sha256:8d1173e93836fad1967af739d25b55a9be61fc7966d4ccf47216309ce191f7b8

Observation de308c84-89b7-4ea6-b36d-9e093cda231f · outbound

This paper cites Undi95/MLewd-L2-13B-v2-1 · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Undi95/MLewd-L2-13B-v2-1 · Hugging Face

Reference 41

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source=pdf_text observed=2026-08-15T17:24:59.208923Z digest=sha256:f6828b9736f2e9fb6901a17cd8a12bf91de75845a262e882ef1bd65dfe28bffb

Observation 2be05630-2727-4894-9578-7e8532ee3cec · outbound

This paper cites WORMGPT - BEST GPT ALTERNATIVE WITHOUT LIMITS - PRIVACY FOCUSED - EASY MONEY! | Hack Forums.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes WORMGPT - BEST GPT ALTERNATIVE WITHOUT LIMITS - PRIVACY FOCUSED - EASY MONEY! | Hack Forums

Reference 42

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source=pdf_text observed=2026-08-15T17:24:59.212457Z digest=sha256:c7ebc4ff610c3faaa11bdcab669e2834aff47c4f15e055d5ccc1b0feda8f812a

Observation eb3dcb4d-25ee-483b-beeb-4564a5f71597 · outbound

This paper cites AI for DevSecOps, WhiteRabbitNeo.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes AI for DevSecOps, WhiteRabbitNeo

Reference 43

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no resolver link, observed 2026-08-15T17:24:59.215952Z

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source=pdf_text observed=2026-08-15T17:24:59.215952Z digest=sha256:89804903e75babc724a972ff5e405fb8480ac99321cf576b4baf592feb7dd8cb

Observation a976f031-69a4-4f7b-a875-498d3f1191aa · outbound

This paper cites AI Regulation: Colorado Artificial Intelligence Act (CAIA).

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes AI Regulation: Colorado Artificial Intelligence Act (CAIA)

Reference 44

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source=pdf_text observed=2026-08-15T17:24:59.219521Z digest=sha256:622f81108cee44d49319b6e0e44acb98e0bda7ce3c4c1cda73a1f3973d95519d

Observation f1fcd237-0ae9-42de-97ab-e6e60338028e · outbound

This paper cites AutoTrain – Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes AutoTrain – Hugging Face

Reference 45

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no resolver link, observed 2026-08-15T17:24:59.223024Z

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source=pdf_text observed=2026-08-15T17:24:59.223024Z digest=sha256:c46c573118cc766679d84b444f341a77af7e045a455c05ddf50b5b9f6d8ad11a

Observation 5dc5ff5f-0373-4d00-aa52-8d7d61e31322 · outbound

This paper cites Axolotl - LLM fine tuning made easy.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Axolotl - LLM fine tuning made easy

Reference 46

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no resolver link, observed 2026-08-15T17:24:59.226338Z

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source=pdf_text observed=2026-08-15T17:24:59.226338Z digest=sha256:e21cf63f3c22f7a3f6236fad99b5e4fb4e8a780d6b9d469e57d0ff83100f3678

Observation dc22a8ef-01cf-4255-9895-fd5157522297 · outbound

This paper cites bunnycore/Cognitron-8B · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes bunnycore/Cognitron-8B · Hugging Face

Reference 47

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source=pdf_text observed=2026-08-15T17:24:59.230118Z digest=sha256:361de0de22cf1e0ba002cbf245a604dde09cb0ce14bba847451e04f69ef50e85

Observation ac9e851b-39e2-46b1-a10e-6bd6913444f1 · outbound

This paper cites California’s New AI Laws Focus on Training Data, Content Transparency // Global Law Firm.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes California’s New AI Laws Focus on Training Data, Content Transparency // Global Law Firm

Reference 48

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no resolver link, observed 2026-08-15T17:24:59.233641Z

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source=pdf_text observed=2026-08-15T17:24:59.233641Z digest=sha256:0a894ce2feb9cc7e5a59ce817f9eaf8ee6972bcb043a6950265518ebe49e465d

Observation cc718aee-35d4-446e-9ffb-a9fd2bbb126a · outbound

This paper cites Causal language modeling.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Causal language modeling

Reference 49

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source=pdf_text observed=2026-08-15T17:24:59.237285Z digest=sha256:2f435e9343c9f67dc61447d314b11afc97ce243f23f85e3d72301528061c545a

Observation c12de06c-a158-4350-b531-d2ba1bb4368c · outbound

This paper cites character.ai | Personalized AI for every moment of your day.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes character.ai | Personalized AI for every moment of your day

Reference 50

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source=pdf_text observed=2026-08-15T17:24:59.241071Z digest=sha256:73536a2dc1072de25912d84254d3b97365cebdae2e376b050ac638372bcdc470

Observation b8a10ac8-d7e8-466f-8de5-cc0ef7f4e0be · outbound

This paper cites Chatbot Rankings (NSFW).

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Chatbot Rankings (NSFW)

Reference 51

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no resolver link, observed 2026-08-15T17:24:59.244669Z

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source=pdf_text observed=2026-08-15T17:24:59.244669Z digest=sha256:6e9ae9830bb8b7238ca4ee12e84099ea27a592d2de15ff73e9edd5c5c9f783a3

Observation 4863b55c-95f9-4426-8585-758c69fc0a07 · outbound

This paper cites an unresolved cited work.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Unresolved cited work

Reference 52

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source=pdf_text observed=2026-08-15T17:24:59.247995Z digest=sha256:7bf2f4c2790d627c344fe2e26ac2bf4e2798d1221e5d34373eb7df186250a485

Observation f8c1f263-b3d6-4ab9-aefd-bc25c6fe9039 · outbound

This paper cites Configuration · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Configuration · Hugging Face

Reference 53

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no resolver link, observed 2026-08-15T17:24:59.251448Z

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source=pdf_text observed=2026-08-15T17:24:59.251448Z digest=sha256:15d9c40a94df0670f2b3442a93afff6db7507863b8bb1b1711f3a606112cadf6

Observation a2162436-32b6-4a20-b2e0-26dbfa04a1c5 · outbound

This paper cites Content Policy – Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Content Policy – Hugging Face

Reference 54

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no resolver link, observed 2026-08-15T17:24:59.254866Z

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source=pdf_text observed=2026-08-15T17:24:59.254866Z digest=sha256:f81add0b68d7c43d8b91efb6f77143dd3a3505dc2afae950c98b857fce132861

Observation 07e34de1-61ca-469c-b9d1-77f21704760c · outbound

This paper cites dolphin-2.8-mistral-7b-v02 – Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes dolphin-2.8-mistral-7b-v02 – Hugging Face

Reference 56

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no resolver link, observed 2026-08-15T17:24:59.261700Z

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source=pdf_text observed=2026-08-15T17:24:59.261700Z digest=sha256:23174af5e80cba880abc1a8f9ba67249f840034480211caec7d20db2e7a17dae

Observation 2da7e825-6345-4d40-8feb-770cadf41508 · outbound

This paper cites dreamgen (DreamGen).

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes dreamgen (DreamGen)

Reference 57

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no resolver link, observed 2026-08-15T17:24:59.265237Z

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source=pdf_text observed=2026-08-15T17:24:59.265237Z digest=sha256:ec7365d818df804be32014394550e5af9d0df3551811d43a17f4a99dc44e7557

Observation ed78f273-b494-42d4-b999-cf45b34ad82a · outbound

This paper cites DuckyBlender/racist-dataset – Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes DuckyBlender/racist-dataset – Hugging Face

Reference 58

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no resolver link, observed 2026-08-15T17:24:59.268923Z

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source=pdf_text observed=2026-08-15T17:24:59.268923Z digest=sha256:d949edbee88ac737c5a3e739a121b9df81b2c31ed9a00fcd27e236bb082bdfd5

Observation 839e0d02-99be-47b5-96ed-08704c5f129c · outbound

This paper cites FailSpy/abliterator.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes FailSpy/abliterator

Reference 59

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no resolver link, observed 2026-08-15T17:24:59.272403Z

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source=pdf_text observed=2026-08-15T17:24:59.272403Z digest=sha256:3a808150182d94353ead7aa4fc7ede4b472924aa4ecdba36a8f4012eb96d2688

Observation 0a9b21f6-f792-4d8a-b635-81198064e933 · outbound

This paper cites Forget W0rmGPT, Try this Instead.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Forget W0rmGPT, Try this Instead

Reference 60

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no resolver link, observed 2026-08-15T17:24:59.276018Z

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source=pdf_text observed=2026-08-15T17:24:59.276018Z digest=sha256:9503e9bf9a498df837e9db5afc55450dacb70e0590b1b5c3bbcac427a0bcfb34

Observation 44171da8-d9bf-4039-840b-c5741e056e8a · outbound

This paper cites Full List of Chatbots - NSFWBots.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Full List of Chatbots - NSFWBots

Reference 61

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no resolver link, observed 2026-08-15T17:24:59.279752Z

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source=pdf_text observed=2026-08-15T17:24:59.279752Z digest=sha256:a4941022f1b16d79de191e9156b79ecb0851ed1abfd6a51673b0015ae905dde1

Observation 2e1337fe-bc8f-4768-989b-e3a5b9f2d3c0 · outbound

This paper cites GGUF - huggingface.co.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes GGUF - huggingface.co

Reference 62

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no resolver link, observed 2026-08-15T17:24:59.283270Z

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source=pdf_text observed=2026-08-15T17:24:59.283270Z digest=sha256:26aac48a43c0054c63686953acf66d073b82a5a20a64715eb5c6637e8347856e

Observation 78de1b54-762d-4294-bc01-ded7177e8872 · outbound

This paper cites GGUF My Repo - a Hugging Face Space by ggml-org.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes GGUF My Repo - a Hugging Face Space by ggml-org

Reference 63

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no resolver link, observed 2026-08-15T17:24:59.286883Z

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source=pdf_text observed=2026-08-15T17:24:59.286883Z digest=sha256:3ef99bbb29583578ed419dbd43dbde8d69137463f64e31ad79206455ce4f02e8

Observation 84332eae-a03a-4ffa-a73d-0c38b98e42c5 · outbound

This paper cites GPT-4o | OpenAI.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes GPT-4o | OpenAI

Reference 64

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no resolver link, observed 2026-08-15T17:24:59.290181Z

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source=pdf_text observed=2026-08-15T17:24:59.290181Z digest=sha256:1f591ffd81bff70170433f0a522661cb4ed9b9f198a2da40ccb2d50c9a85ed71

Observation 07370ef8-7943-428a-b0e1-4de0e5fa77ac · outbound

This paper cites Guardrails AI.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Guardrails AI

Reference 65

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no resolver link, observed 2026-08-15T17:24:59.293693Z

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source=pdf_text observed=2026-08-15T17:24:59.293693Z digest=sha256:d7a5fa0405f1edc269cd089700868c5b2a3dd0d4d9106ba1d50655e8a48998b5

Observation c705ab2b-1f4f-404f-aff2-2410046146e1 · outbound

This paper cites Hacked ’AI Girlfriend’ Data Shows Prompts Describing Child Sexual Abuse.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Hacked ’AI Girlfriend’ Data Shows Prompts Describing Child Sexual Abuse

Reference 66

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no resolver link, observed 2026-08-15T17:24:59.297258Z

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source=pdf_text observed=2026-08-15T17:24:59.297258Z digest=sha256:0a95e9124823501296069ed8fbf839bdbd3a70d57e354878f3978d552bbc44fd

Observation a340da39-5b50-4252-b88e-3087f1cbe355 · outbound

This paper cites hi - WhiteRabbitNeo - Your cybersecurity co-pilot.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes hi - WhiteRabbitNeo - Your cybersecurity co-pilot

Reference 67

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no resolver link, observed 2026-08-15T17:24:59.300734Z

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source=pdf_text observed=2026-08-15T17:24:59.300734Z digest=sha256:43f56c762ecdb9774a8c7a6552c914a2e9856faa70c00e2f28c15ea44a1149e2

Observation 492e2ec1-492b-4a0e-8a25-2b86a753a8cc · outbound

This paper cites How to have your own "DARKGPT" for free.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes How to have your own "DARKGPT" for free

Reference 68

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no resolver link, observed 2026-08-15T17:24:59.304129Z

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source=pdf_text observed=2026-08-15T17:24:59.304129Z digest=sha256:02c733493ddc12e53213fee84a61eb79451677eaccff81cce59d776d7610ef19

Observation 5753a4d7-08d0-479b-ba74-4fb23dd43b65 · outbound

This paper cites idllresearch/malicious-gpt.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes idllresearch/malicious-gpt

Reference 69

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no resolver link, observed 2026-08-15T17:24:59.307742Z

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source=pdf_text observed=2026-08-15T17:24:59.307742Z digest=sha256:e50bee140a1eca56a27f63eb5a1fce5c56df5caf2483b1ef3fc481acdc7cb3c6

Observation e4f682df-a6b7-4ed9-9d5f-aba24e1faf95 · outbound

This paper cites Inv/Konstanta-7B · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Inv/Konstanta-7B · Hugging Face

Reference 70

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no resolver link, observed 2026-08-15T17:24:59.311430Z

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source=pdf_text observed=2026-08-15T17:24:59.311430Z digest=sha256:2ecc0ac25a877660c9162adbcfb768b9d2ecbe547f8f22c235c6ecbdd3775d6c

Observation 1c58dcae-84c8-48e8-b246-0a35df1ac3c8 · outbound

This paper cites LazyMergekit.ipynb - Colab.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes LazyMergekit.ipynb - Colab

Reference 71

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no resolver link, observed 2026-08-15T17:24:59.314971Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:24:59.314971Z digest=sha256:3dd32b180f4f46d76e32e08c219dc00603312292d95f486de80444b10efd0c7f

Observation 560b522c-a878-4036-a87c-64201ecff836 · outbound

This paper cites LeroyDyer/_Spydaz_Web_AI_ · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes LeroyDyer/_Spydaz_Web_AI_ · Hugging Face

Reference 72

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no resolver link, observed 2026-08-15T17:24:59.319185Z

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source=pdf_text observed=2026-08-15T17:24:59.319185Z digest=sha256:958143e7a322c63b4443503eaf8c0342d740f1286c25f60d3cfec09fc1e3ef6b

Observation 82fb1ade-04f9-4b8d-a6b9-d2cdb2f9c35c · outbound

This paper cites Llama 2 vs.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Llama 2 vs

Reference 73

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no resolver link, observed 2026-08-15T17:24:59.322593Z

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source=pdf_text observed=2026-08-15T17:24:59.322593Z digest=sha256:7e5d055e781e64f4e3cc4941dcc51ad59370e1279e6df18cc55df62566d6d34f

Observation 5937b610-a6eb-4666-8eb8-4f031c7231ca · outbound

This paper cites LLM Explorer: A Curated LLM List.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes LLM Explorer: A Curated LLM List

Reference 74

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no resolver link, observed 2026-08-15T17:24:59.326199Z

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source=pdf_text observed=2026-08-15T17:24:59.326199Z digest=sha256:26fc8221ce32e2df16ef6c65472b3782ffdf2e228ceee46d74ac23fee645c0c1

Observation bf89f243-f029-4f6a-ad71-2d7c215f5f2c · outbound

This paper cites Maxime Labonne - Uncensor any LLM with abliteration.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Maxime Labonne - Uncensor any LLM with abliteration

Reference 75

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no resolver link, observed 2026-08-15T17:24:59.329907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:24:59.329907Z digest=sha256:6fa1b0c0db35c2c5ca84ce8e329eae92223e04fa8a0578754638a69f6b4e10d1

Observation 5ecbc259-b6e1-428b-b872-4afd8d4f109e · outbound

This paper cites meta-llama/Llama-2-13b-chat · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes meta-llama/Llama-2-13b-chat · Hugging Face

Reference 76

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no resolver link, observed 2026-08-15T17:24:59.334365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:24:59.334365Z digest=sha256:65c9f47a401b8ce2480ce15aee86de8f4cdf833d15ce79544d097e5852929274

Observation 249cd1a6-af41-4d1f-bc3c-3f855e5a7707 · outbound

This paper cites meta-llama/Llama-3.1-8B · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes meta-llama/Llama-3.1-8B · Hugging Face

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-15T17:24:59.338069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:24:59.338069Z digest=sha256:f10f5e2e9cd1d15f575da300ff46b9d22a6b4f53c642e4f8fd5d538e1bf19b86

Observation 32d2a1a3-306e-4144-871d-5781e812a22e · outbound

This paper cites meta-llama/Llama-3.2-1B · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes meta-llama/Llama-3.2-1B · Hugging Face

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-15T17:24:59.341439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:24:59.341439Z digest=sha256:5c0c6861f10f644a8a92d017482e7460a94ce13b8d208edc673d414422ed943e

Observation 04fa28ea-ca70-46a8-ab09-23c40fb4a404 · outbound

This paper cites meta-llama/Llama-3.3-70B-Instruct · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes meta-llama/Llama-3.3-70B-Instruct · Hugging Face

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-15T17:24:59.344848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:24:59.344848Z digest=sha256:b2a23c25d2141cf4938619a6a72b66d1771797ea0ad85413581d983823b02653

Observation af99ff26-1ccb-431c-bb66-d7f738db1279 · outbound

This paper cites mistralai/Codestral-22B-v0.1 · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes mistralai/Codestral-22B-v0.1 · Hugging Face

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-15T17:24:59.348311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:24:59.348311Z digest=sha256:5589d50ccd8062748dd008bbb0419f8feb58e57eca51296a75bb15c947ed468d

Observation 34fcc418-20d9-47a6-adc3-b67ae9f508be · outbound

This paper cites mlabonne/Daredevil-8B-abliterated · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes mlabonne/Daredevil-8B-abliterated · Hugging Face

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-15T17:24:59.351599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:24:59.351599Z digest=sha256:d4cf22c75035e051e9a85fb99e6a15f699ae7846f28d8c3100178dfc6d42b081

Observation 3b7f50c1-6cc3-42c1-bf03-61a4bd215255 · outbound

This paper cites mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-15T17:24:59.355219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:24:59.355219Z digest=sha256:c14853d2031337dcba16a5aafe11293e369150a9ac0340427b13e921e156742d

Observation ed683073-d352-4d7d-a5c3-53a902af474e · outbound

This paper cites Muah AI Character Card Upload Rules/Guidelines – AI CHARACTER CARDS.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Muah AI Character Card Upload Rules/Guidelines – AI CHARACTER CARDS

Reference 83

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no resolver link, observed 2026-08-15T17:24:59.359771Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:24:59.359771Z digest=sha256:a7aa13e8453d199a6e1797860e17de3125bdb18e148474725d7c82787ab594e4

Observation da3fa7ca-4803-4a6e-86c5-ec42c318940d · outbound

This paper cites NetworkX — NetworkX documentation.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes NetworkX — NetworkX documentation

Reference 84

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no resolver link, observed 2026-08-15T17:24:59.363316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:24:59.363316Z digest=sha256:904ace2ac1d46653fbf1c8756697eaade5bf707e501ed9fab5c952878d1d7835

Observation ce40f4af-b4fa-40ea-b9b6-c04ca6a759f3 · outbound

This paper cites Open Source AI Is the Path Forward | Meta.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Open Source AI Is the Path Forward | Meta

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-15T17:24:59.367022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:24:59.367022Z digest=sha256:a0f443c33d44fad2638e20af7c1705af41e4efc063597027a6e5bb945a2f6db8

Observation 1528b9ec-a073-4143-bfe3-28b7dbaeaff0 · outbound

This paper cites openvoid/Prox-Phi-3-mini-128k · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes openvoid/Prox-Phi-3-mini-128k · Hugging Face

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-15T17:24:59.370432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:24:59.370432Z digest=sha256:27ec92adaa14a8911edcf4f3debdbcaeeaa9f025b37b1ce27e2b8b5c93eb283a

Observation 28a4f55e-5d5a-49ae-9110-5982d9c9a323 · outbound

This paper cites Orion-zhen/abliteration: Make abliterated models with transformers, easy and fast.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Orion-zhen/abliteration: Make abliterated models with transformers, easy and fast

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-15T17:24:59.373881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:24:59.373881Z digest=sha256:616a595a20a05880ee845fa3d3f5f2f6ea595f7aa1470f6ab8ec5804e03254d3

Observation b540edd5-456a-462b-99bf-5a74af722ea2 · outbound

This paper cites ortho_cookbook.ipynb · failspy/llama-3-70B-Instruct-abliterated.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes ortho_cookbook.ipynb · failspy/llama-3-70B-Instruct-abliterated

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-15T17:24:59.377287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:24:59.377287Z digest=sha256:ed1a66715e2187955c4b94f9ccd5a7dcd0c3bc05ec1a7d2f9ba85799cc9dc043

Observation aecb05e7-3eec-49de-b8d2-c98fa319483c · outbound

This paper cites an unresolved cited work.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Unresolved cited work

Reference 89

Resolution
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no resolver link, observed 2026-08-15T17:24:59.380812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:24:59.380812Z digest=sha256:924c34ba05bd264e89dc2b95791df01d841c9759e905f1a16842b6e76f1a92cf

Observation bb43494a-ad41-4948-8eb0-b7852aac5e9f · outbound

This paper cites preemware/Prox-MistralHermes-7B · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes preemware/Prox-MistralHermes-7B · Hugging Face

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-15T17:24:59.384321Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:24:59.384321Z digest=sha256:7f090a3c938a375fdd0580ef58c163f97827cde7089fb3f665ddd784c6ed1f1e

Observation 348437fa-6e70-471a-9341-673fe15d3189 · outbound

This paper cites QuantFactory/dolphin-2.8-mistral-7b-v02-GGUF · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes QuantFactory/dolphin-2.8-mistral-7b-v02-GGUF · Hugging Face

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-15T17:24:59.387665Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:24:59.387665Z digest=sha256:a60d987e84a6499a1056e7b669ad037d22c64fe297ead308649d71a70cf8f1e7

Observation 545b1157-9d03-4585-a1b0-cea6e84aa41e · outbound

This paper cites QuantFactory/dolphin-2.9-llama3-8b-GGUF · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes QuantFactory/dolphin-2.9-llama3-8b-GGUF · Hugging Face

Reference 92

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no resolver link, observed 2026-08-15T17:24:59.390883Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:24:59.390883Z digest=sha256:6d405867b0597efee30a13df444fd20c89bb072c28c1d6eaf8752c1578523e51

Observation c97c2869-11ac-45a7-90cb-faaa1c66df3d · outbound

This paper cites Regulation - EU - 2024/1689 - EN - EUR-Lex.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Regulation - EU - 2024/1689 - EN - EUR-Lex

Reference 93

Resolution
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no resolver link, observed 2026-08-15T17:24:59.394039Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:24:59.394039Z digest=sha256:b5bc383435d8765b895b31717a12fa5c248e9cdfd227527afa6ed205d25d61a7

Observation 26e51dae-b512-4625-bce4-ec1fc6c6b4da · outbound

This paper cites Replete-AI/code_bagel · Datasets at Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Replete-AI/code_bagel · Datasets at Hugging Face

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-15T17:24:59.397268Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:24:59.397268Z digest=sha256:dcef662790687b1fd2e829cd70877bc00453888ff56279d884a7dbed5789d58f

Observation e5290190-e866-469b-a1f5-dd2ba4552f0e · outbound

This paper cites Rupesh2/OrpoLlama-3-8B-instruct-uncensored · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Rupesh2/OrpoLlama-3-8B-instruct-uncensored · Hugging Face

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-15T17:24:59.400909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:24:59.400909Z digest=sha256:dfab8725b615d2cae1a8342d8ed50c3acee191f0dbd26e210132381a98f3b580

Observation df1020fd-6c8b-47ca-9cae-b9ddc9df47c3 · outbound

This paper cites Sumandora/remove-refusals-with-transformers: Implements harmful/harmless refusal removal using pure HF Transformers.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Sumandora/remove-refusals-with-transformers: Implements harmful/harmless refusal removal using pure HF Transformers

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-15T17:24:59.404246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:24:59.404246Z digest=sha256:8cee7fe1a9bd36ea54cba138fa4fe4f2e8fb22db4b1d62fa73ef91d5c738ff68

Observation 7517869d-a70d-4028-bbae-142ef438562e · outbound

This paper cites TroyDoesAI/Codestral-21B-Pruned · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes TroyDoesAI/Codestral-21B-Pruned · Hugging Face

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:25:00.659801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:24:59.407863Z digest=sha256:ffbad4582f40ab2624527111ee19aa8c9229fdf4a572bfeaf58c6cfde7a77bb5

Observation ceb27f1a-38af-4d59-ad16-bea6a7954094 · outbound

This paper cites Uncensor any LLM with abliteration.ipynb - Colab.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Uncensor any LLM with abliteration.ipynb - Colab

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:25:00.648440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:24:59.411551Z digest=sha256:81b5fc852f3aa7f6d536932f6b2db161fee3ec3bf03c8cac49e50ea397c558a9

Observation d7a48c79-bea1-4ad4-a474-1cf463bb3fb2 · outbound

This paper cites Unsloth AI | Open Source Fine-Tuning for LLMs.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Unsloth AI | Open Source Fine-Tuning for LLMs

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:25:00.637482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:24:59.414885Z digest=sha256:280ff3880591067059c457166c8d512c8608a5c2d801cd14ab54eb4e16f093d8

Observation 93887947-99db-42d6-adf5-4a3bbd9ec62f · outbound

This paper cites v000000/SwallowMaid-8B-L3-SPPO-abliterated · Hugging Face.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes v000000/SwallowMaid-8B-L3-SPPO-abliterated · Hugging Face

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:25:00.626607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:24:59.418287Z digest=sha256:3042280987ded554139e99220ae5906c0c832303e49df8e43486cd773bf768ff

Observation 4df792a2-e400-4f52-951c-5ca5f8356261 · outbound

This paper cites an unresolved cited work.

Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes Unresolved cited work

Reference 101

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:25:00.615914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T17:24:59.421494Z digest=sha256:a186293bb24c1e9cd286a08edca0740f24213e551017a51e317076dc1ce1e6c2

Pith citing papers

No inbound Pith citation observations are available.