Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.12023.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:08:10.054216Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T20:13:24.898902Z
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 e4a372f3-2979-437e-8640-101eb7831d61 · inbound
ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection cites this paper.
ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection CMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T20:13:24.901744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a025b83d-6424-46d8-9c2d-5465ccc4248b · inbound
Visual Large Language Models for Generalized and Specialized Applications cites this paper.
Visual Large Language Models for Generalized and Specialized Applications CMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models
Reference 297
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:08:10.054216Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a2d1bc4-7646-444a-aad8-f7820aa139d3 · inbound
Large Language Models as Computable Approximations to Solomonoff Induction cites this paper.
Large Language Models as Computable Approximations to Solomonoff Induction CMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:16:54.680465Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e9f344b-1c98-4941-af2c-1bf31b044908 · inbound
MathReal: We Keep It Real! A Real Scene Benchmark for Evaluating Math Reasoning in Multimodal Large Language Models cites this paper.
MathReal: We Keep It Real! A Real Scene Benchmark for Evaluating Math Reasoning in Multimodal Large Language Models CMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:03:08.364386Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd46b12c-2414-4c4d-a52c-c89d43e00e35 · inbound
GeoLaux: A Benchmark for Evaluating MLLMs' Geometry Performance on Long-Step Problems Requiring Auxiliary Lines cites this paper.
GeoLaux: A Benchmark for Evaluating MLLMs' Geometry Performance on Long-Step Problems Requiring Auxiliary Lines CMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T00:41:56.096946Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.