Paper Citation Record · LEDGER

Challenges in Detoxifying Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2109.07445.

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

pith.paper-citation-record.v1
2109.07445 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:20:46.811816Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T13:33:28.439743Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bc9dd14a-fc78-4273-92cd-32bd42afb392 · inbound

A General Language Assistant as a Laboratory for Alignment cites this paper.

A General Language Assistant as a Laboratory for Alignment Challenges in Detoxifying Language Models

Reference 252

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:22:59.343502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 92ed9766-bda1-4a38-9148-66d1467b19b2 · inbound

Ethical and social risks of harm from Language Models cites this paper.

Ethical and social risks of harm from Language Models Challenges in Detoxifying Language Models

Reference 290

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:24:30.322596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 186a5027-f14d-4885-85f4-8e785660a588 · inbound

Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model cites this paper.

Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model Challenges in Detoxifying Language Models

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-24T12:14:26.647929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ee1b8db8-7624-4e50-87db-a35cc5a4277a · inbound

GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts cites this paper.

GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts Challenges in Detoxifying Language Models

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:25:21.123453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fa4c0692-db09-4855-b1fc-85ec18622ced · inbound

TrustLLM: Trustworthiness in Large Language Models cites this paper.

TrustLLM: Trustworthiness in Large Language Models Challenges in Detoxifying Language Models

Reference 246

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:17:08.696987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 58f2a9d9-b396-4cef-a4ac-d270f48282ee · inbound

Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion Models cites this paper.

Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion Models Challenges in Detoxifying Language Models

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-12T05:33:18.447230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1fb9307-9bd1-4ebe-b733-2d6a47cdc529 · inbound

The Generative AI Ethics Playbook cites this paper.

The Generative AI Ethics Playbook Challenges in Detoxifying Language Models

Reference 126

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:10.934737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee32c18a-1f36-4b04-b4aa-bc5d59673f41 · inbound

HateBench: Benchmarking Hate Speech Detectors on LLM-Generated Content and Hate Campaigns cites this paper.

HateBench: Benchmarking Hate Speech Detectors on LLM-Generated Content and Hate Campaigns Challenges in Detoxifying Language Models

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-10T11:03:29.226885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a2802d4-df00-42b2-a5dd-6af5299bd77b · inbound

ThreMoLIA: Threat Modeling of Large Language Model-Integrated Applications cites this paper.

ThreMoLIA: Threat Modeling of Large Language Model-Integrated Applications Challenges in Detoxifying Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T10:20:46.811816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76698800-6522-4e0e-aaad-01e1f260eb78 · inbound

Moderating Harm: Benchmarking Large Language Models for Cyberbullying Detection in YouTube Comments cites this paper.

Moderating Harm: Benchmarking Large Language Models for Cyberbullying Detection in YouTube Comments Challenges in Detoxifying Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:26:05.971383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6f11497-6607-47b9-81c4-bce4f86b16c5 · inbound

When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governance cites this paper.

When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governance Challenges in Detoxifying Language Models

Reference 194

Resolution: unresolved; no resolver link, observed 2026-08-06T18:37:11.264262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d8c8e90-6eb3-4e3b-8b1a-518f1a939266 · inbound

Customize Multi-modal RAI Guardrails with Precedent-based predictions cites this paper.

Customize Multi-modal RAI Guardrails with Precedent-based predictions Challenges in Detoxifying Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T17:47:15.398133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eabeb2e8-80d5-4dc2-b9c7-1693c012adc9 · inbound

Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken English cites this paper.

Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken English Challenges in Detoxifying Language Models

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-06T10:23:58.094942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e9ac3c4-409c-4884-a32f-97a52c9211df · inbound

Ethics Testing: Proactive Identification of Generative AI System Harms cites this paper.

Ethics Testing: Proactive Identification of Generative AI System Harms Challenges in Detoxifying Language Models

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:56:08.093038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 12ba0c4b-f95f-4d5a-8c36-19e1d2ec3a9b · inbound

Where Does Toxicity Live? Mechanistic Localization and Targeted Suppression in Language Models cites this paper.

Where Does Toxicity Live? Mechanistic Localization and Targeted Suppression in Language Models Challenges in Detoxifying Language Models

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:33:28.441271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.