Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Math-PUMA: Progressive Upward Multimodal Alignment to Enhance Mathematical Reasoning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.08640.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:12:59.356894Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T20:13:25.040382Z
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 882d7d89-01da-45cb-8219-31bb3569df79 · 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 Math-PUMA: Progressive Upward Multimodal Alignment to Enhance Mathematical Reasoning
Reference 86
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T20:13:25.043471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7e5c31ca-c1e6-406d-82ce-dc52ad3e7da2 · inbound
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning Math-PUMA: Progressive Upward Multimodal Alignment to Enhance Mathematical Reasoning
Reference 268
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:32:32.548161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a64c61f0-973c-4b08-93b3-4248351923db · 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 Math-PUMA: Progressive Upward Multimodal Alignment to Enhance Mathematical Reasoning
Reference 82
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:57:13.375512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ba021b73-5370-4339-b57a-0d1596a8bdde · inbound
Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start cites this paper.
Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start Math-PUMA: Progressive Upward Multimodal Alignment to Enhance Mathematical Reasoning
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:12:59.356894Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.