Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2401.11944.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:19:05.167967Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T04:32:32.672779Z
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 623d5a10-821a-485a-a79f-434c82c4544c · inbound
DeepSeek-VL: Towards Real-World Vision-Language Understanding cites this paper.
DeepSeek-VL: Towards Real-World Vision-Language Understanding CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:58:54.760355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e18477da-9ef8-4c40-889f-ce3c5099ed29 · inbound
OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning cites this paper.
OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark
Reference 131
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T20:33:26.885629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 68fc532c-d9aa-4e30-9e14-86a8f87eb304 · inbound
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark
Reference 247
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:32:32.676271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8dd42996-6022-4616-9e13-33f11b1ae93e · inbound
FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model Evaluation cites this paper.
FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model Evaluation CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:44.959144Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5aff777f-413d-4142-9836-e8741bc8053b · inbound
VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos cites this paper.
VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark
Reference 89
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:22:56.098198Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1b73b5f-c11d-462a-87d9-feb48b3446d9 · inbound
Argus Inspection: Do Multimodal Large Language Models Possess the Eye of Panoptes? cites this paper.
Argus Inspection: Do Multimodal Large Language Models Possess the Eye of Panoptes? CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:19:05.167967Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed9c1492-3022-4bba-a86d-b40b58a226c2 · inbound
EduFlow: Advancing MLLMs' Problem-Solving Proficiency through Multi-Stage, Multi-Perspective Critique cites this paper.
EduFlow: Advancing MLLMs' Problem-Solving Proficiency through Multi-Stage, Multi-Perspective Critique CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:04:55.471250Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4666b248-d71e-4a20-91fa-9d307d542e3f · inbound
From UAV Imagery to Agronomic Reasoning: A Multimodal LLM Benchmark for Plant Phenotyping cites this paper.
From UAV Imagery to Agronomic Reasoning: A Multimodal LLM Benchmark for Plant Phenotyping CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark
Reference 22
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T07:25:59.778943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6b981cda-3a3a-4f1d-aa23-b32c0d90ebe5 · inbound
OProver: A Unified Framework for Agentic Formal Theorem Proving cites this paper.
OProver: A Unified Framework for Agentic Formal Theorem Proving CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark
Reference 56
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T14:48:23.548793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.