Paper Citation Record · LEDGER

You Only Prompt Once: On the Capabilities of Prompt Learning on Large Language Models to Tackle Toxic Content

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2308.05596.

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

pith.paper-citation-record.v1
2308.05596 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:50:42.944555Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T12:21:31.139611Z

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 fbabe707-6d53-4ce1-8698-58656fd9c49a · inbound

VModA: An Effective Framework for Adaptive NSFW Image Moderation cites this paper.

VModA: An Effective Framework for Adaptive NSFW Image Moderation You Only Prompt Once: On the Capabilities of Prompt Learning on Large Language Models to Tackle Toxic Content

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:50:42.944555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89193544-2629-4058-9189-0afb6df542e2 · inbound

Optimus: A Robust Defense Framework for Mitigating Toxicity while Fine-Tuning Conversational AI cites this paper.

Optimus: A Robust Defense Framework for Mitigating Toxicity while Fine-Tuning Conversational AI You Only Prompt Once: On the Capabilities of Prompt Learning on Large Language Models to Tackle Toxic Content

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-22T12:21:31.142813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 32a79ec0-abaf-42c6-9f28-3933e6e6b558 · inbound

Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm cites this paper.

Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm You Only Prompt Once: On the Capabilities of Prompt Learning on Large Language Models to Tackle Toxic Content

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-04T22:33:29.348937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb008ee3-bc50-49d6-9982-f0241d20025d · inbound

Teaching LLMs Human-Like Editing of Inappropriate Argumentation via Reinforcement Learning cites this paper.

Teaching LLMs Human-Like Editing of Inappropriate Argumentation via Reinforcement Learning You Only Prompt Once: On the Capabilities of Prompt Learning on Large Language Models to Tackle Toxic Content

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:21:01.787273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.