Paper Citation Record · LEDGER

Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2411.07140.

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

pith.paper-citation-record.v1
2411.07140 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:51:49.258491Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:47:41.861276Z

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 2f6eadfc-a70c-4a52-888a-66ec8f42a579 · inbound

Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models cites this paper.

Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T14:04:52.139815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdde923a-19b8-4253-9528-6ed8b47e791c · inbound

Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking cites this paper.

Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:49.101642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0685445-3394-4274-a694-b6bf680df04b · inbound

LIMO: Less is More for Reasoning cites this paper.

LIMO: Less is More for Reasoning Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models

Reference 99

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T02:11:37.274099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fe52b1d0-4342-47bc-9995-d6da2d0ee696 · inbound

AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning cites this paper.

AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:49.258491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84ff8279-091f-47ab-a4df-d27a0a27c866 · inbound

Serving Large Language Models on Huawei CloudMatrix384 cites this paper.

Serving Large Language Models on Huawei CloudMatrix384 Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:53.202975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa8c6fae-e104-4c81-b313-3b167e082c18 · inbound

KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality cites this paper.

KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:37:08.983653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7e7a21a8-4621-49e5-9442-57a0a154703f · inbound

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:52.363919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97626148-3235-4371-8ce3-0c4e2c314c72 · inbound

Kimi K2: Open Agentic Intelligence cites this paper.

Kimi K2: Open Agentic Intelligence Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T17:49:28.130607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2c413884-3d11-49fd-8fe0-98ea97b326dc · inbound

Encouraging Good Processes Without the Need for Good Answers: Reinforcement Learning for LLM Agent Planning cites this paper.

Encouraging Good Processes Without the Need for Good Answers: Reinforcement Learning for LLM Agent Planning Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T15:44:14.816855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 394d566d-a566-41c4-b30d-e894721c11b2 · inbound

Patterns behind Chaos: Forecasting Data Movement for Efficient Large-Scale MoE LLM Inference cites this paper.

Patterns behind Chaos: Forecasting Data Movement for Efficient Large-Scale MoE LLM Inference Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T09:56:13.360707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ad403a12-724b-40ab-8c53-e399226fbcce · inbound

MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning cites this paper.

MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T01:00:34.515294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 56d049f8-0602-4554-b136-923c6b399369 · inbound

Continual LLM Upcycling: A Predictor-Gated Bank-Wise Sparsity Training Recipe for Dense-to-Sparse LLMs cites this paper.

Continual LLM Upcycling: A Predictor-Gated Bank-Wise Sparsity Training Recipe for Dense-to-Sparse LLMs Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T05:47:41.863117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 05877839-d1bc-4016-9623-4574e03fa251 · inbound

Oyster-II: Reinforcement Learning for Constructive Safety Alignment in Large Language Models cites this paper.

Oyster-II: Reinforcement Learning for Constructive Safety Alignment in Large Language Models Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-12T06:11:38.403281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 699409ee-91f1-49e0-8544-9d59513ff3c6 · inbound

PlanE: Meta Planning of Data, Tuning, and Inference for Extractive-based LLMs cites this paper.

PlanE: Meta Planning of Data, Tuning, and Inference for Extractive-based LLMs Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T13:27:15.513981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.