Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Multimodal Financial Foundation Models (MFFMs): Progress, Prospects, and Challenges
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2506.01973.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T00:38:04.295161Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T08:39:42.721839Z
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 dbe48c18-49f0-4593-8485-5df0138b2f38 · inbound
MetaPS: Adaptive Programmatic Strategy Selection for Market Agents cites this paper.
MetaPS: Adaptive Programmatic Strategy Selection for Market Agents Multimodal Financial Foundation Models (MFFMs): Progress, Prospects, and Challenges
Reference 157
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T08:39:42.724585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7fca1c4e-d308-49bd-8d83-bd1b72a5c6ae · inbound
Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity cites this paper.
Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Multimodal Financial Foundation Models (MFFMs): Progress, Prospects, and Challenges
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T00:38:04.295161Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.