Paper Citation Record · LEDGER

Unveiling the Implicit Toxicity in Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:17:26.989054Z

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 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.