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Paper Citation Record · LEDGER

Can LLMs Recognize Toxicity? A Structured Investigation Framework and Toxicity Metric

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.06900.

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

pith.paper-citation-record.v1
2402.06900 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:56:54.976936Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:47:31.682079Z

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 d993a88f-59a4-40f1-9d6c-88c24f9e4019 · inbound

Bias in Large Language Models: Origin, Evaluation, and Mitigation cites this paper.

Bias in Large Language Models: Origin, Evaluation, and Mitigation Can LLMs Recognize Toxicity? A Structured Investigation Framework and Toxicity Metric

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:08:12.371250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T17:08:09.267577Z digest=sha256:108826865565824273e3d0ec711bd81318a49a6fb94b58cb712fb19b70ba874d

Observation ebbdf685-dbc2-4932-8cb4-137e42961dc5 · inbound

Unified Game Moderation: Soft-Prompting and LLM-Assisted Label Transfer for Resource-Efficient Toxicity Detection cites this paper.

Unified Game Moderation: Soft-Prompting and LLM-Assisted Label Transfer for Resource-Efficient Toxicity Detection Can LLMs Recognize Toxicity? A Structured Investigation Framework and Toxicity Metric

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T11:56:54.976936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:54.976936Z digest=sha256:7d185f9750195ed02b21ffeaf9befdb0e3d8ed7c77aba3b6970b3c41382045b7

Observation 1c1fb057-b88b-470b-8169-1ca3383c0084 · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion Can LLMs Recognize Toxicity? A Structured Investigation Framework and Toxicity Metric

Reference 98

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:31:24.770304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T00:29:07.951709Z digest=sha256:826939773a1bf7d2c87a92a6139d3cacfb126eec66a77cb87c3dcf188e572119

Observation fc250af7-bbce-4b51-ac9f-17f6a9e3149a · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion Can LLMs Recognize Toxicity? A Structured Investigation Framework and Toxicity Metric

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-03T18:19:19.566914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:19:19.566914Z digest=sha256:7ac698daefd5baf8f5cfe468fb565f72d6b16ff4ac888ba9c9c65bc56e665204

Observation 6f603288-347f-4cbd-a0ea-c4491c065b83 · inbound

What the Eyes See, the LLMs Miss: Exploiting Human Perception for Adversarial Text Attacks cites this paper.

What the Eyes See, the LLMs Miss: Exploiting Human Perception for Adversarial Text Attacks Can LLMs Recognize Toxicity? A Structured Investigation Framework and Toxicity Metric

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:47:31.683622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T16:18:01.850874Z digest=sha256:9ef1c470fc16726aa45c7523181c5db7463a612050d71f13d8a64aea87121539