Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2409.13729.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:12:58.101610Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T04:32:32.929617Z
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 cdd4b409-0153-4400-9a24-a68f98386abc · inbound
Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization cites this paper.
Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model
Reference 108
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T09:16:17.529789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cbb34bc8-6da1-4d33-9a86-011812f17300 · inbound
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model
Reference 233
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:32:32.933083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c41276d3-d9c0-47da-ab97-b5317775f06d · inbound
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems cites this paper.
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.356075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 31ac8f67-bd2b-4af2-967a-3513938cd04a · inbound
Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start cites this paper.
Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:12:58.101610Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e690da5b-a0b9-4309-adc8-68b3100d15d3 · inbound
MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs cites this paper.
MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model
Reference 92
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T20:16:34.427458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b5942b3e-a51e-41a2-821f-4f32b23c01c7 · inbound
MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs cites this paper.
MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model
Reference 92
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T10:31:25.342409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 543b561f-495d-4977-859b-b72bcfeaded6 · inbound
MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs cites this paper.
MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model
Reference 91
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T22:00:12.193820Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.