Paper Citation Record · LEDGER

SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2307.15020.

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

pith.paper-citation-record.v1
2307.15020 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:15:28.712803Z

measured 0 of 1 external citation measurements

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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+00:00.

Observation 0e46a5ea-b307-4b1d-bed4-778114a6a13d · inbound

Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models cites this paper.

Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T23:15:28.712803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-12T06:34:41.77262+00:00.

Observation 0f194fa1-3556-4ad5-b3e9-6f4bbe83f7d1 · inbound

V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding cites this paper.

V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark

Reference 105

Resolution: unresolved; no resolver link, observed 2026-08-11T16:58:03.383495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation feaa54f5-8952-4c93-afa5-7937e5b75d85 · inbound

A Survey of RWKV cites this paper.

A Survey of RWKV SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark

Reference 194

Resolution: unresolved; no resolver link, observed 2026-08-11T11:53:40.305522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86462444-67fc-478b-a60c-bc8376aa2536 · inbound

Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment Domain cites this paper.

Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment Domain SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T21:08:58.129896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+00:00.