Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2307.15020.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:08:37.868531Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T04:50:21.483105Z
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 7a217b55-d1a5-446e-ac9a-e4a613ba36e3 · inbound
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models cites this paper.
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark
Reference 33
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T02:33:30.405951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e30deb87-f7e3-4392-8357-130b35f9efc0 · inbound
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites cites this paper.
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark
Reference 104
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T20:58:59.190037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d30e5aad-e7c0-4492-bdef-e7acfbcf260f · inbound
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling cites this paper.
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark
Reference 222
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:23:58.014387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e5d123ac-7ebf-4b8a-8a2b-eea636c20ea8 · 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 SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:08:37.868531Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a374978f-5a0f-4b02-b3f6-832041adb1c6 · inbound
DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine cites this paper.
DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:42:13.672819Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80666c11-096f-4893-b7bd-f2959b6f52bf · inbound
OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces cites this paper.
OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:01:18.595801Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2acc34a8-d4a0-438c-8bf2-026bdd1f9392 · inbound
It's the humans, not the data: Geopolitical bias in LLMs originates in post-training, amplified by the language of the prompt cites this paper.
It's the humans, not the data: Geopolitical bias in LLMs originates in post-training, amplified by the language of the prompt SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T04:50:21.486415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.