Paper Citation Record · LEDGER

Watch Your Language: Investigating Content Moderation with Large Language Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2309.14517.

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

pith.paper-citation-record.v1
2309.14517 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:51:43.055328Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0759d2cd-6e05-48ba-a495-7956b363b5d1 · inbound

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey Watch Your Language: Investigating Content Moderation with Large Language Models

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:58:26.245044Z

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 e41a716f-3739-4aaf-baa2-346e0ca0ce7e · inbound

Seed-Free Synthetic Data Generation Framework for Instruction-Tuning LLMs: A Case Study in Thai cites this paper.

Seed-Free Synthetic Data Generation Framework for Instruction-Tuning LLMs: A Case Study in Thai Watch Your Language: Investigating Content Moderation with Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T14:19:24.796639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f30137e-e950-45b0-9112-0163cef79d18 · inbound

AI and the Future of Digital Public Squares cites this paper.

AI and the Future of Digital Public Squares Watch Your Language: Investigating Content Moderation with Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T16:31:58.484793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5e43d27-0835-446b-bf59-9bea52083cbe · inbound

Socio-Culturally Aware Evaluation Framework for LLM-Based Content Moderation cites this paper.

Socio-Culturally Aware Evaluation Framework for LLM-Based Content Moderation Watch Your Language: Investigating Content Moderation with Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T13:05:51.037671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c0d1c5a-5b4a-4fd4-828f-ba35dc86d8c0 · inbound

Doing Audits Right? The Role of Sampling and Legal Content Analysis in Systemic Risk Assessments and Independent Audits in the Digital Services Act cites this paper.

Doing Audits Right? The Role of Sampling and Legal Content Analysis in Systemic Risk Assessments and Independent Audits in the Digital Services Act Watch Your Language: Investigating Content Moderation with Large Language Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-15T23:51:43.055328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93f57253-dd56-4c52-8c37-9055f6ccd3ad · inbound

Evaluating the efficacy of LLM Safety Solutions : The Palit Benchmark Dataset cites this paper.

Evaluating the efficacy of LLM Safety Solutions : The Palit Benchmark Dataset Watch Your Language: Investigating Content Moderation with Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:51.416084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 248fdf47-fad2-4576-8db6-13d52c051863 · inbound

Assessing and Refining ChatGPT's Performance in Identifying Targeting and Inappropriate Language: A Comparative Study cites this paper.

Assessing and Refining ChatGPT's Performance in Identifying Targeting and Inappropriate Language: A Comparative Study Watch Your Language: Investigating Content Moderation with Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:22.703382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07bf8ed4-57f4-45e3-b2d8-77bd9616cae2 · inbound

Lost in Pronunciation: Detecting Chinese Offensive Language Disguised by Phonetic Cloaking Replacement cites this paper.

Lost in Pronunciation: Detecting Chinese Offensive Language Disguised by Phonetic Cloaking Replacement Watch Your Language: Investigating Content Moderation with Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T18:40:23.880430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a2765d6-12d6-4ab1-b95b-9d6c870764ab · inbound

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching cites this paper.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Watch Your Language: Investigating Content Moderation with Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T18:48:54.172527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e257de7e-a520-452b-8b03-858fec10af84 · inbound

AI at the Front Lines of Platform Governance: Using LLMs to Support Illegal Content Reporting under the Digital Services Act cites this paper.

AI at the Front Lines of Platform Governance: Using LLMs to Support Illegal Content Reporting under the Digital Services Act Watch Your Language: Investigating Content Moderation with Large Language Models

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:25:18.090283Z

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 8ca791fc-2820-4525-8916-14ddba44d55d · inbound

Toward Agentic Governance: What Shapes LLM-Agent Intervention in Public Forums? cites this paper.

Toward Agentic Governance: What Shapes LLM-Agent Intervention in Public Forums? Watch Your Language: Investigating Content Moderation with Large Language Models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-06-28T20:42:37.875964Z

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 b1ddf327-798c-4a2d-b787-57083ee212f9 · inbound

It is not enough to give your moderation rules to ChatGPT: Policy-as-Prompt Moderation and Its Potential Impacts on Community Governance cites this paper.

It is not enough to give your moderation rules to ChatGPT: Policy-as-Prompt Moderation and Its Potential Impacts on Community Governance Watch Your Language: Investigating Content Moderation with Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T06:44:11.079555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2adbc28a-0593-4b22-9e02-15b5bc1df7e8 · inbound

Compass: Continuously Aligning Social Media Feeds via In-Situ Reflections cites this paper.

Compass: Continuously Aligning Social Media Feeds via In-Situ Reflections Watch Your Language: Investigating Content Moderation with Large Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-08T00:10:21.525928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.