Paper Citation Record · LEDGER

Unveiling the Implicit Toxicity in Large Language Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2311.17391.

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

pith.paper-citation-record.v1
2311.17391 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:33:59.537032Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:18:03.173190Z

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 34fd8d9a-a25c-47c5-a20c-84e37a734807 · inbound

Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs cites this paper.

Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs Unveiling the Implicit Toxicity in Large Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T20:33:59.537032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0990e204-8544-4426-beac-9ef0fda5340c · inbound

Benchmark on Peer Review Toxic Detection: A Challenging Task with a New Dataset cites this paper.

Benchmark on Peer Review Toxic Detection: A Challenging Task with a New Dataset Unveiling the Implicit Toxicity in Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T18:29:43.439935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8abd774c-ad3a-4fc3-a12c-0d80f0c82098 · inbound

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs cites this paper.

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs Unveiling the Implicit Toxicity in Large Language Models

Reference 129

Resolution: unresolved; no resolver link, observed 2026-08-07T10:17:26.989054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b52951e-f6c8-49be-8541-316787ebf7e3 · inbound

When the Same Coefficients Reach Different Places: Asymmetric Realizability in Transplanting Tokenizers across Large Language Models cites this paper.

When the Same Coefficients Reach Different Places: Asymmetric Realizability in Transplanting Tokenizers across Large Language Models Unveiling the Implicit Toxicity in Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T13:15:39.650178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b5930ed-2def-4526-891f-7e98410494fc · inbound

Query-efficient model evaluation using cached responses cites this paper.

Query-efficient model evaluation using cached responses Unveiling the Implicit Toxicity in Large Language Models

Reference 132

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:56:00.103220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2318dfc6-315f-49db-8024-fff03f487631 · inbound

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models cites this paper.

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models Unveiling the Implicit Toxicity in Large Language Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-20T16:28:38.784816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eadb01a2-6c0d-4ba4-bc27-6da4c0bbfc75 · inbound

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models cites this paper.

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models Unveiling the Implicit Toxicity in Large Language Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:09:51.677497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation be60a510-89d6-4130-a350-e6b89a90da28 · inbound

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models cites this paper.

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models Unveiling the Implicit Toxicity in Large Language Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:35:01.427373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bc541013-4ec0-469f-91fd-4c23a300fa26 · inbound

AERIC: Anticipatory Hidden-State Monitoring for Implicit Harmful Dialogue cites this paper.

AERIC: Anticipatory Hidden-State Monitoring for Implicit Harmful Dialogue Unveiling the Implicit Toxicity in Large Language Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:35:04.751335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bc548c18-2c66-4a44-afe8-1069483b2c16 · inbound

On The Effectiveness-Fluency Trade-Off In LLM Conditioning: A Systematic Study cites this paper.

On The Effectiveness-Fluency Trade-Off In LLM Conditioning: A Systematic Study Unveiling the Implicit Toxicity in Large Language Models

Reference 195

Resolution: verified exact; arxiv_id, observed 2026-07-03T11:18:03.174697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.