Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Safety Assessment of Chinese Large Language Models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2304.10436.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:26:09.059039Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T01:07:30.335333Z
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 a7fe65c9-3ccf-478f-9be5-addbf3429d28 · inbound
GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts cites this paper.
GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts Safety Assessment of Chinese Large Language Models
Reference 54
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T06:25:21.054175Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3ee1ec1a-2c2e-4059-b067-94352bba98d3 · inbound
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism cites this paper.
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Safety Assessment of Chinese Large Language Models
Reference 146
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T06:08:06.220864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6a692cf6-0523-4533-80d4-4a56f9571983 · inbound
TrustLLM: Trustworthiness in Large Language Models cites this paper.
TrustLLM: Trustworthiness in Large Language Models Safety Assessment of Chinese Large Language Models
Reference 187
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T11:17:08.571399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f2fd6df4-3a9e-4cb2-948f-6ef70dfd5402 · inbound
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model cites this paper.
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model Safety Assessment of Chinese Large Language Models
Reference 141
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:36:27.206515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3ec50fd2-280b-4c61-8255-dc92afc44ef1 · inbound
WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs cites this paper.
WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs Safety Assessment of Chinese Large Language Models
Reference 31
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T16:25:14.891841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 399528c1-27b8-4b54-9dc2-fea8369d4253 · inbound
Jailbreak Attacks and Defenses Against Large Language Models: A Survey cites this paper.
Jailbreak Attacks and Defenses Against Large Language Models: A Survey Safety Assessment of Chinese Large Language Models
Reference 86
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T02:20:44.838488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c4805ac6-21b8-4f2a-b5b0-bca3398547a3 · inbound
Xinyu AI Search: Enhanced Relevance and Comprehensive Results with Rich Answer Presentations cites this paper.
Xinyu AI Search: Enhanced Relevance and Comprehensive Results with Rich Answer Presentations Safety Assessment of Chinese Large Language Models
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:26:09.059039Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86fa3827-6a84-4057-addf-83750dbedcec · 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 Safety Assessment of Chinese Large Language Models
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:17:26.706992Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8778340-3b0d-4dec-b31e-c5a21a7e5752 · inbound
Fine-Tuning Lowers Safety and Disrupts Evaluation Consistency cites this paper.
Fine-Tuning Lowers Safety and Disrupts Evaluation Consistency Safety Assessment of Chinese Large Language Models
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:33:39.890116Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78394735-2d95-427c-ad43-54c0195f69c9 · inbound
GaussMaster: An LLM-based Database Copilot System cites this paper.
GaussMaster: An LLM-based Database Copilot System Safety Assessment of Chinese Large Language Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:48:30.577413Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dcd091c3-cdfe-43ca-aa4e-c8b61be00b0b · inbound
Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning cites this paper.
Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning Safety Assessment of Chinese Large Language Models
Reference 226
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T01:01:10.137580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b16ebd34-448b-436c-9fe3-8fc75f3a99b4 · inbound
Libra: Large Chinese-based Safeguard for AI Content cites this paper.
Libra: Large Chinese-based Safeguard for AI Content Safety Assessment of Chinese Large Language Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:17:38.703912Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b00630f-055c-443e-b90e-8eec7e5ce2fa · inbound
A Comprehensive Evaluation framework of Alignment Techniques for LLMs cites this paper.
A Comprehensive Evaluation framework of Alignment Techniques for LLMs Safety Assessment of Chinese Large Language Models
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:43:20.510246Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30543690-372d-42ba-926f-8515079ba1fa · inbound
EPT Benchmark: Evaluation of Persian Trustworthiness in Large Language Models cites this paper.
EPT Benchmark: Evaluation of Persian Trustworthiness in Large Language Models Safety Assessment of Chinese Large Language Models
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:03:16.432583Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50e9a650-1576-4307-a997-56c6542d7b07 · 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 Safety Assessment of Chinese Large Language Models
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T22:33:25.544372Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64717eeb-59d7-4c39-9848-cadf5261bfce · inbound
SafeToolBench: Pioneering a Prospective Benchmark to Evaluating Tool Utilization Safety in LLMs cites this paper.
SafeToolBench: Pioneering a Prospective Benchmark to Evaluating Tool Utilization Safety in LLMs Safety Assessment of Chinese Large Language Models
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T22:30:34.155084Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cad58cab-3983-470c-b615-a40ec41ca9c8 · inbound
Certifiable Safe RLHF: Semantic Grounding and Fixed Penalty Constraint Optimization for Safer LLM Alignment cites this paper.
Certifiable Safe RLHF: Semantic Grounding and Fixed Penalty Constraint Optimization for Safer LLM Alignment Safety Assessment of Chinese Large Language Models
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T12:27:28.723743Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7af2d15-d6fc-4dd6-a899-7e1ad6a5ae9e · inbound
OutSafe-Bench: A Benchmark for Multimodal Offensive Content Detection in Large Language Models cites this paper.
OutSafe-Bench: A Benchmark for Multimodal Offensive Content Detection in Large Language Models Safety Assessment of Chinese Large Language Models
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:23.201586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7a377562-7cf7-428d-9741-6f6845c9ee1b · inbound
To Lie or Not to Lie? Investigating The Biased Spread of Global Lies by LLMs cites this paper.
To Lie or Not to Lie? Investigating The Biased Spread of Global Lies by LLMs Safety Assessment of Chinese Large Language Models
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:05:50.813915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a4a5c17f-b439-49f9-a3f7-cb602169d532 · inbound
VoxSafeBench: Not Just What Is Said, but Who, How, and Where cites this paper.
VoxSafeBench: Not Just What Is Said, but Who, How, and Where Safety Assessment of Chinese Large Language Models
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T10:24:22.093373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d956385a-b5c1-4d45-aa07-32b34f477717 · inbound
TWGuard: A Case Study of LLM Safety Guardrails for Localized Linguistic Contexts cites this paper.
TWGuard: A Case Study of LLM Safety Guardrails for Localized Linguistic Contexts Safety Assessment of Chinese Large Language Models
Reference 17
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T09:08:25.527564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0e02607a-7e51-4b8e-b9d3-1bee6f400f88 · inbound
Harder to Defend: Towards Chinese Toxicity Attacks via Implicit Enhancement and Obfuscation Rewriting cites this paper.
Harder to Defend: Towards Chinese Toxicity Attacks via Implicit Enhancement and Obfuscation Rewriting Safety Assessment of Chinese Large Language Models
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T06:01:09.240505Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 616c8f3c-9f67-4d6b-b323-81bd9a2cd733 · inbound
JT-SAFE-V2: Safety-by-Design Foundation Model with World-Context Data cites this paper.
JT-SAFE-V2: Safety-by-Design Foundation Model with World-Context Data Safety Assessment of Chinese Large Language Models
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:54:44.158388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6c8c03d5-6ccb-4247-88a7-e45772ac4e2a · inbound
AlbanianLLMSafety: A Safety Evaluation Dataset for Large Language Models in Albanian cites this paper.
AlbanianLLMSafety: A Safety Evaluation Dataset for Large Language Models in Albanian Safety Assessment of Chinese Large Language Models
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T17:53:47.027493Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation df8c5b28-3b3c-400d-9ef0-a626a3721cbf · inbound
Beyond English and Evasion: A Human-Annotated Multi-Domain Benchmark for High-Stakes LLM Safety Evaluation in Chinese cites this paper.
Beyond English and Evasion: A Human-Annotated Multi-Domain Benchmark for High-Stakes LLM Safety Evaluation in Chinese Safety Assessment of Chinese Large Language Models
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T08:03:14.652464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a23c8900-76a3-4683-a09d-180a93164fb2 · inbound
Culturally-Adapted Red-Teaming Across East and Southeast Asian Contexts: A Methodological and Comparative Analysis cites this paper.
Culturally-Adapted Red-Teaming Across East and Southeast Asian Contexts: A Methodological and Comparative Analysis Safety Assessment of Chinese Large Language Models
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T01:07:30.337023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.