Paper Citation Record · LEDGER

AlignBench: Benchmarking Chinese Alignment of Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2311.18743.

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

pith.paper-citation-record.v1
2311.18743 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:26:06.931661Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ca841481-233e-462b-bdbd-1c2da779d8ed · inbound

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism cites this paper.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism AlignBench: Benchmarking Chinese Alignment of Large Language Models

Reference 147

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:08:05.831970Z

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 512de56b-abb6-4b6d-bed1-c997bf629b57 · inbound

InternLM2 Technical Report cites this paper.

InternLM2 Technical Report AlignBench: Benchmarking Chinese Alignment of Large Language Models

Reference 175

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T11:44:38.323496Z

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 b7a622bc-38a5-4a9e-81e6-929238bb9bcd · 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 AlignBench: Benchmarking Chinese Alignment of Large Language Models

Reference 142

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:36:26.438167Z

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 0c5619da-cf35-4326-9b10-1b2861cc74ba · inbound

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods AlignBench: Benchmarking Chinese Alignment of Large Language Models

Reference 148

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:08:37.299351Z

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 2effc0c7-cc26-48f1-b2bd-3739b840c7f0 · inbound

Training an LLM-as-a-Judge Model: Pipeline, Insights, and Practical Lessons cites this paper.

Training an LLM-as-a-Judge Model: Pipeline, Insights, and Practical Lessons AlignBench: Benchmarking Chinese Alignment of Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T10:26:06.931661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c96a5d48-19fd-4db4-8fa2-81e2d1274caf · inbound

Characterizing Bias: Benchmarking Large Language Models in Simplified versus Traditional Chinese cites this paper.

Characterizing Bias: Benchmarking Large Language Models in Simplified versus Traditional Chinese AlignBench: Benchmarking Chinese Alignment of Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:35.123660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df62893e-d5f8-4916-a8f8-3c71b13c46a2 · inbound

Beyond the Surface: Measuring Self-Preference in LLM Judgments cites this paper.

Beyond the Surface: Measuring Self-Preference in LLM Judgments AlignBench: Benchmarking Chinese Alignment of Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:04.837491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5982dec6-ecb1-4708-abd5-cc5daca3049b · inbound

A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations cites this paper.

A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations AlignBench: Benchmarking Chinese Alignment of Large Language Models

Reference 226

Resolution: unresolved; no resolver link, observed 2026-08-07T10:17:47.030027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71fbc989-12a5-4017-a47c-e9e65b85ced1 · inbound

Chengyu-Bench: Benchmarking Large Language Models for Chinese Idiom Understanding and Use cites this paper.

Chengyu-Bench: Benchmarking Large Language Models for Chinese Idiom Understanding and Use AlignBench: Benchmarking Chinese Alignment of Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:27:19.485869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1774273-c23d-4431-9cdd-c9135588f87a · 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 AlignBench: Benchmarking Chinese Alignment of Large Language Models

Reference 227

Resolution: verified exact; arxiv_id, observed 2026-05-19T01:01:09.994861Z

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 2a47dbe2-5407-4ed4-b574-e7ec36c316b5 · inbound

Diagnosing Failures in Large Language Models' Answers: Integrating Error Attribution into Evaluation Framework cites this paper.

Diagnosing Failures in Large Language Models' Answers: Integrating Error Attribution into Evaluation Framework AlignBench: Benchmarking Chinese Alignment of Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T18:23:30.510620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2285295d-a65f-46bd-b053-39e90300167b · inbound

CompassJudger-2: Towards Generalist Judge Model via Verifiable Rewards cites this paper.

CompassJudger-2: Towards Generalist Judge Model via Verifiable Rewards AlignBench: Benchmarking Chinese Alignment of Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T18:12:26.444272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6463cf01-e5ad-47ae-b3f7-88993610ba89 · inbound

Technical Report of TeleChat2, TeleChat2.5 and T1 cites this paper.

Technical Report of TeleChat2, TeleChat2.5 and T1 AlignBench: Benchmarking Chinese Alignment of Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T14:43:22.372244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09e90af4-6a09-44df-80c5-dfea3a39aa04 · inbound

AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications cites this paper.

AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications AlignBench: Benchmarking Chinese Alignment of Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T17:26:28.871708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c534328b-7f8f-4641-9ce8-0ae001490020 · inbound

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges cites this paper.

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges AlignBench: Benchmarking Chinese Alignment of Large Language Models

Reference 140

Resolution: unresolved; no resolver link, observed 2026-08-03T00:55:29.295048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.